Data Related Quotes

We essentially had to build a docking mechanism between the two capsules. We didn't have to share a lot of data, and we did that at the height of the Cold War, which was pretty symbolic." –Bill Gerstenmaier

At the federal level, this problem could be greatly alleviated by abolishing the Electoral College system. It's the winner-take-all mathematics from state to state that delivers so much power to a relative handful of voters. It's as if in politics, as in economics, we have a privileged 1 percent. And the money from the financial 1 percent underwrites the microtargeting to secure the votes of the political 1 percent. Without the Electoral College, by contrast, every vote would be worth exactly the same. That would be a step toward democracy.

The irony is, that a distant relation of mine, once wrote a book which also depicted a monster. Her name was Mary Shelley. That story as I recall, did not end well either.

Today, we are not just inmates or victims in a foreign-controlled digital panoptic. Originally, the Panoptikum was a prison-like building designed by Jeremy Bentham. The prisoners in the outer ring are guarded by a central surveillance tower. In the digital panoptic, we are not just caught. We are ourselves perpetrators. We are actively involved in the digital panopticon. We even entertain it by cableing ourselves to the body like the millions of quantified self-movements and voluntarily putting our body-related data into the web. The new rule does not silence us. Rather, she is constantly calling on us to communicate, to share, to communicate our opinions, needs, wishes and preferences, to tell our lives.

The acquisition of knowledge from books provides an experience different from the Internet. Reading is relatively time-consuming; to ease the process, style is important. Because it is not possible to read all books on a given subject, much less the totality of books, or to organize easily everything one has read, learning from books places a premium on conceptual thinking - the ability to recognize comparable data and events and project patterns into the future. And style propels the reader into a relationship with the author, or with the subject matter, by fusing substance and aesthetics.

Interestingly, according to data from the U.S. Census Bureau and FBI crime reports, the states with the highest levels of gun ownership do not have the highest homicide rates. For comparison, Illinois, which has some of the strictest gun regulations in the country, has nearly three times the gun-related deaths as Alabama, a state which has a roughly 30 percent higher firearm ownership rate.

The acquisition of knowledge from books provides an experience different from the Internet. Reading is relatively time-consuming; to ease the process, style is important. Because it is not possible to read all books on a given subject, much less the totality of all books, or to organize easily everything one has read, learning from books places a premium on conceptual thinking—the ability to recognize comparable data and events and project patterns into the future. And style propels the reader into a relationship with the author, or with the subject matter, by fusing substance and aesthetics. Traditionally, another way of acquiring knowledge has been through personal conversations. The discussion and exchange of ideas has for millennia provided an emotional and psychological dimension in addition to the factual content of the information exchanged. It supplies intangibles of conviction and personality. Now the culture of texting produces a curious reluctance to engage in face-to-face interaction, especially on a one-to-one basis.

stupidity: a process, not a state. A human being takes in far more information than he or she can put out. “Stupidity” is a process or strategy by which a human, in response to social denigration of the information she or he puts out, commits him or herself to taking in no more information than she or he can put out. (Not to be confused with ignorance, or lack of data.) Since such a situation is impossible to achieve because of the nature of mind/perception itself in its relation to the functioning body, a continuing downward spiral of functionality and/or informative dissemination results,’ and he understood why! ‘The process, however, can be reversed,’ the voice continued, ‘at any time.

humanity is male and man defines woman not in herself, but as relative to him; she is not regarded as an autonomous being. [. . .] He is the Subject, he is the Absolute – she is the Other.

It’s very important that people take back their minds and that people analyse our dilemma in the context of the entire human story from the descent onto the grassland to our potential destiny as citizens of the galaxy and the universe. We are at a critical turning point and, as I say; the tools, the data that holds the potential for our salvation is now known, it is available: it is among us, but it is misrepresented, it is slandered, it is litigated against, and it’s up to each one of us to relate to this situation in a fashion that will allow us to answer the question that will surely be put to us at some point in the future, which is: What did you do to help save the world?

the senses immediately tell us is not the truth about the object as it is apart from us, but only the truth about certain sense-data which, so far as we can see, depend upon the relations between us and the object.

What meaning our lives may seem to have is the work of a relatively well-constituted emotional system. As consciousness gives us the sense of being persons, our psychophysiology is responsible for making us into personalities who believe the existential game to be worth playing. We may have memories that are unlike those of anyone else, but without the proper emotions to liven those memories they might as well reside in a computer file as disconnected bits of data that never unite into a tailor-made individual for whom things seem to mean something. You can conceptualize that your life has meaning, but if you do not feel that meaning then your conceptualization is meaningless and you are nobody. The only matters of weight in our lives are colored by rainbows or auroras of regulated emotion which give one a sense of that “old self.” But a major depression causes your emotions to evaporate, reducing you to a shell of a person standing alone in a drab landscape. Emotions are the substrate for the illusion of being a somebody among somebodies as well as for the substance we see, or think we see, in the world. Not knowing this ground-level truth of human existence is the equivalent of knowing nothing at all.

The BLM-antifa narrative that police are murdering black and brown people in epidemic proportions needs to be thoroughly debunked. It is not supported by the evidence or data. This should be the job of the media, but it has been they who fan the flames of racial division through one-sided wall-to-wall coverage. The unending distraction from real issues that can otherwise be addressed through evidence-based policy making has us chasing shadows.

If you have nothing to hide, then you have nothing to fear.” This is a dangerously narrow conception of the value of privacy. Privacy is an essential human need, and central to our ability to control how we relate to the world. Being stripped of privacy is fundamentally dehumanizing, and it makes no difference whether the surveillance is conducted by an undercover policeman following us around or by a computer algorithm tracking our every move.

It is no coincidence then that doctors and patients and the entire Lyme community report—anecdotally, of course, as there is still a frustrating scarcity of good data on anything Lyme-related—that women suffer the most from Lyme. They tend to advance into chronic and late-stage forms of the illness most because often it's checked for last, as doctors often treat them as psychiatric cases first. The nebulous symptoms plus the fracturing of articulacy and cognitive fog can cause any Lyme patient to simply appear mentally ill and mentally ill only. This is why we hear that young women—again, anecdotally—are dying of Lyme the fastest. This is also why we hear that chronic illness is a women's burden. Women simply aren't allowed to be physically sick until they are mentally sick, too, and then it is by some miracle or accident that the two can be separated for proper diagnosis. In the end, every Lyme patient has some psychiatric diagnosis, too, if anything because of the hell it takes getting to a diagnosis.

What meaning our lives seem to have is the work of a relatively well-constituted emotional system. As consciousness gives us the sense of being persons, our psychophysiology is responsible for making us into personalities who believe the existential game to be worth playing. We may have memories that are unlike those of anyone else, but without the proper emotions to liven those memories they might as well reside in a computer file as disconnected bits of data that never unite into a tailor-made individual for whom things seem to mean something. You can conceptualize that your life has meaning, but if you do not feel that meaning then your conceptualization is meaningless and you are nobody.

Simone de Beauvoir made it most famously when in 1949 she wrote, ‘humanity is male and man defines woman not in herself, but as relative to him; she is not regarded as an autonomous being. [. . .] He is the Subject, he is the Absolute – she is the Other.

Myrna. Listen hard to what I’m going to say. You’re collecting and hoarding. You’re accumulating information from me, but you’re not giving anything back! I believe you’re trying to relate to me differently now but I’m not experiencing it as engagement. I don’t feel yet that you’re relating to me as a person—it’s more like you regard me as a data bank from which you make withdrawals.

This is what comes from the wrong kind of attentiveness. People get brain fade. This is because they've forgotten how to listen and look as children. They've forgotten how to collect data. In the psychic sense a forest fire on TV is on a lower plane than a ten-second spot for Automatic Dishwasher All. The commercial has deeper waves, deeper emanations. But we have reversed the relative significance of these things. This is why people's eyes, ears, brains and nervous systems have grown weary. It's a simple case of misuse.

Bitcoin is often mistakenly characterized as “anonymous” currency. In fact, it is relatively easy to connect identities to bitcoin addresses and, using big-data analytics, connect addresses to each other to form a comprehensive picture of someone’s bitcoin spending habits.

It seems we, as a culture, have lost our ability to endure hesitations, pauses, silences, and other forms of language related to thinking, to learning. We seem to be caught in a constant stream of unrelated, pre-digested data. It appears we are beginning to speak and react in similar cadences.

If you have to maintain self-esteem by pulling down the standing of others, you are extraordinarily unfortunate in a variety of ways. Since you have to protect your feeling of personal worth by noting how unworthy everybody around you is, you are not provided with any data that are convincing evidence of your having personal worth; so it gradually evolves into 'I am not as bad as the other swine.' To be the best of swine, when it would be nice to be a person, is not a particularly good way of furthering anything except security operations. When security is achieved that way, it strikes at the very roots of that which is essentially human -- the utterly vital role of interpersonal relations.' from The Interpersonal Theory of Psychiatry

Investors look at economic fundamentals; traders look at each other; ‘quants’ look at the data. Dealing on the basis of historic price series was once described as technical analysis, or chartism (and there are chartists still). These savants identify visual patterns in charts of price data, often favouring them with arresting names such as ‘head and shoulders’ or ‘double bottoms’. This is pseudo-scientific bunk, the financial equivalent of astrology. But more sophisticated quantitative methods have since proved profitable for some since the 1970s’ creation of derivative markets and the related mathematics. Profitable

The acquisition of knowledge from books provides an experience different from the Internet. Reading is relatively time-consuming; to ease the process, style is important. Because it is not possible to read all books on a given subject, much less the totality of all books, or to organize easily everything one has read, learning from books places a premium on conceptual thinking—the ability to recognize comparable data and events and project patterns into the future.

It is very easy to grow tired at collecting; the period of a low tide is about all men can endure. At first the rocks are bright and every moving animal makes his mark on the attention. The picture is wide and colored and beautiful. But after an hour and a half the attention centers weary, the color fades, and the field is likely to narrow to an individual animal. Here one may observe his own world narrowed down until interest and, with it, observation, flicker and go out. And what if with age this weariness becomes permanent and observation dim out and not recover? Can this be what happens to so many men of science? Enthusiasm, interest, sharpness, dulled with a weariness until finally they retire into easy didacticism? With this weariness, this stultification of attention centers, perhaps there comes the pained and sad memory of what the old excitement was like, and regret might turn to envy of the men who still have it. Then out of the shell of didacticism, such a used-up man might attack the unwearied, and he would have in his hands proper weapons of attack. It does seem certain that to a wearied man an error in a mass of correct data wipes out all the correctness and is a focus for attack; whereas the unwearied man, in his energy and receptivity, might consider the little dross of error a by-product of his effort. These two may balance and produce a purer thing than either in the end. These two may be the stresses which hold up the structure, but it is a sad thing to see the interest in interested men thin out and weaken and die. We have known so many professors who once carried their listeners high on their single enthusiasm, and have seen these same men finally settle back comfortably into lectures prepared years before and never vary them again. Perhaps this is the same narrowing we observe in relation to ourselves and the tide pool—a man looking at reality brings his own limitations to the world. If he has strength and energy of mind the tide pool stretches both ways, digs back to electrons and leaps space into the universe and fights out of the moment into non-conceptual time. Then ecology has a synonym which is ALL.

It was a scientific success, bringing back data enough to keep the analysts busy for years… but there was no glib, slick way to explain the full meaning of its observations in layman’s terms. In public relations the mission was a failure; the public, seeking to understand on their own terms, looked for material benefit, treasure, riches, dramatic findings.

Big data analyst Seth Stephens-Davidowitz reports in the New York Times that Google searches for “sexless marriage” outnumber searches related to any other marital issue.3

Big data is the most disruptive force this industry has seen since the introduction of the relational database.

My own best results are often due to pretending I know relatively little, and acting accordingly, though it's easier said than done.

Paying attention to customer feedback includes looking back over the data, as well as listening in real-time. Show your customers you hear them when they take the time to speak to you.

Today, stories are becoming more pervasive in business because they make ideas, data, and plans relatable, recallable, and repeatable by associating information with powerful feelings.

Our analyses of the FDA data showed relatively little difference between the effects of antidepressants and the effects of placebos. Indeed, the effects were so small that they did not qualify as clinically significant. The drug companies knew how small the effect of their medications were compared to placebos, and so did the FDA and other regulatory agencies. The companies found various ways to make the data seem more favorable to their products, and the FDA helped them keep their negative data secret. In fact, in some instances, the FDA urged the companies to keep negative data hidden, even when the companies wanted to reveal them. My colleagues and I hadn't really discovered anything new. We had merely revealed their 'dirty little secret'.

For the Obamacare rollout, Obama worked with the same public relations specialists who also did the publicity for Venezuelan dictator Hugo Chavez. Celinda Lake and American Environics, the leftist pollster who advised the Obama campaign to make contraception for women one of the central issues in the 2012 presidential campaign, offered data that was useful. But the driving force in developing the strategy behind branding Obamacare was the Herndon Alliance. They’re the ones who came up with the now infamous line, “If you like your health-care plan you can keep it.

Most of it is just noise, and the noise is increasing faster than the signal. There are so many hypotheses to test, so many data sets to mine—but a relatively constant amount of objective truth.

The acquisition of knowledge from books provides an experience different from the Internet. Reading is relatively time-consuming; to ease the process, style is important. Because it is not possible to read all books on a given subject, much less the totality of all books, or to organize easily everything one has read, learning from books places a premium on conceptual thinking—the ability to recognize comparable data and events and project patterns into the future. And style propels the reader into a relationship with the author, or with the subject matter, by fusing substance and aesthetics.

The text is not inserted into a genetic process in which it is understood as emerging from this or that prior moment of form or style; nor is it 'extrinsically' related to some ground or context which is at least initially given as something lying beyond it. Rather, the data of the work are interrogated in terms of their formal and logical and, most particularly, their semantic conditions of possibility.

Any notion that drug use among blacks is more severe or dangerous is belied by the data; white youth have about three times the number of drug-related emergency room visits as their African American counterparts.

The longer someone ignores an email before finally responding, the more relative social power that person has. Map these response times across an entire organization and you get a remarkably accurate chart of the actual social standing. The boss leaves emails unanswered for hours or days; those lower down respond within minutes. There’s an algorithm for this, a data mining method called “automated social hierarchy detection,” developed at Columbia University.8 When applied to the archive of email traffic at Enron Corporation before it folded, the method correctly identified the roles of top-level managers and their subordinates just by how long it took them to answer a given person’s emails. Intelligence agencies have been applying the same metric to suspected terrorist gangs, piecing together the chain of influence to spot the central figures.

The Yamnaya—who the genetic data show were closely related to the source of the steppe ancestry in both India and Europe—are obvious candidates for spreading Indo-European languages to both these subcontinents of Eurasia.

On the day in April 1933 when he decided to flee from Berlin to Vienna, the train he took was essentially empty. One day later, the same train was overcrowded and stopped at the border, and everyone on it was interrogated. Szilard later related the impact this had on his thinking: “This just goes to show that if you want to succeed in this world you don’t have to be much cleverer than other people, you just have to be one day earlier than most people.

Rather, it was written by tying knots on colourful cords called quipus. Each quipu consisted of many cords of different colours, made of wool or cotton. On each cord, several knots were tied in different places. A single quipu could contain hundreds of cords and thousands of knots. By combining different knots on different cords with different colours, it was possible to record large amounts of mathematical data relating to, for example, tax collection and property ownership.2

if you go through the multi-thousand-page IPCC synthesis reports, you will not find any quantification of climate-related disaster deaths. And if you review the world’s leading source of climate disaster data, you will find that it totally contradicts the moral case for eliminating fossil fuels. Climate-related disaster deaths have plummeted by 98 percent over the last century, as CO2 levels have risen from 280 ppm (parts per million) to 420 ppm (parts per million) and temperatures have risen by 1°C.[6]

As we’ve gone along, I’ve pointed out that a warm childhood relationship with his mother—not maternal education—was significantly related to a man’s verbal test scores, to high salary, to class rank at Harvard, and to military rank at the end of World War II. At the men’s twenty-fifth reunion, it looked, to my surprise, as though the quality of a man’s relationship with his mother had little effect on overall midlife adjustment. However, forty-five years later, to my surprise again, the data suggested that there was a significant positive correlation between the quality of one’s maternal relationship and the absence of cognitive decline. At age ninety, 33 percent of the men with poor maternal relationships, and only 13 percent of men with warm relationships, suffered from dementia.

My laboratory is a place where I write. I have become proficient at producing a rare species of prose capable of distilling ten years of work by five people into six published pages, written in a language that very few people can read and that no one ever speaks. This writing relates the details of my work with the precision of a laser scalpel, but its streamlined beauty is a type of artifice, a size-zero mannequin designed to showcase the glory of a dress that would be much less perfect on any real person. My papers do not display the footnotes that they have earned, the table of data that required painstaking months to redo when a graduate student quit, sneering on her way out that she didn’t want a life like mine. The paragraph that took five hours to write while riding on a plane, stunned with grief, flying to a funeral that I couldn’t believe was happening. The early draft that my toddler covered in crayon and applesauce while it was still warm from the printer. Although my publications contain meticulous details of the plants that did grow, the runs that went smoothly, and the data that materialized, they perpetrate a disrespectful amnesia against the entire gardens that rotted in fungus and dismay, the electrical signals that refused to stabilize, and the printer ink cartridges that we secured late at night through nefarious means. I

Research by media scholars Daniel Kreiss and Philip Howard indicates that the 2008 Obama campaign compiled significant data on more than 250 million Americans, including “a vast array of online behavioral and relational data collected from use of the campaign’s web site and third-party social media sites such as Facebook.…”96 Journalist Sasha Issenberg, who documented these developments in his book The Victory Lab, quotes one of Obama’s 2008 political consultants who likened predictive modeling to the tools of a fortune-teller: “We knew who… people were going to vote for before they decided.

Thus we find that, although the relations of physical objects have all sorts of knowable properties, derived from their correspondence with the relations of sense-data, the physical objects themselves remain unknown in their intrinsic nature, so far at least as can be discovered by means of the senses.

In the name of speed, Morse and Vail had realized that they could save strokes by reserving the shorter sequences of dots and dashes for the most common letters. But which letters would be used most often? Little was known about the alphabet’s statistics. In search of data on the letters’ relative frequencies, Vail was inspired to visit the local newspaper office in Morristown, New Jersey, and look over the type cases. He found a stock of twelve thousand E’s, nine thousand T’s, and only two hundred Z’s. He and Morse rearranged the alphabet accordingly. They had originally used dash-dash-dot to represent T, the second most common letter; now they promoted T to a single dash, thus saving telegraph operators uncountable billions of key taps in the world to come. Long afterward, information theorists calculated that they had come within 15 percent of an optimal arrangement for telegraphing English text.

Women prefer the smell of moderately related over unrelated men. And in a study of 160 years of data concerning every couple in Iceland (which is a mecca for human geneticists, given its genetic and socioeconomic homogeneity), the highest reproductive success arose from third- and fourth-cousin marriages.

Look, cell phone geolocation data shows very few clustering anomalies for this hour and climate. And that’s holding up pretty much across all major metro areas. It’s gone down six percentage points since news of the Karachi workshop hit the Web, and it’s trending downward. If people are protesting, they aren’t doing it in the streets.” He circled his finger over a few clusters of dots. “Some potential protest knots in Portland and Austin, but defiance-related tag cloud groupings in social media put us within the three-sigma rule—meaning roughly sixty-eight percent of the values lie within one standard deviation of the mean.

Baseball also has statistical rigor. Its gurus have an immense data set at hand, almost all of it directly related to the performance of players in the game. Moreover, their data is highly relevant to the outcomes they are trying to predict. This may sound obvious, but as we’ll see throughout this book, the folks building WMDs routinely lack data for the behaviors they’re most interested in. So they substitute stand-in data, or proxies. They draw statistical correlations between a person’s zip code or language patterns and her potential to pay back a loan or handle a job. These correlations are discriminatory, and some of them are illegal.

What the data show: the fewer social relationships a person has, the shorter his or her life expectancy, and the worse the impact of various infectious diseases. Relationships that are medically protective can take the form of marriage, contact with friends and extended family, church membership, or other group affiliations.

Database Management System [Origin: Data + Latin basus "low, mean, vile, menial, degrading, ounterfeit."] A complex set of interrelational data structures allowing data to be lost in many convenient sequences while retaining a complete record of the logical relations between the missing items. -- From The Devil's DP Dictionary

Today most of the debate on the cutting edge in macroeconomics would not call itself “Keynesian” or “monetarist” or any other label relating to a school of thought. The data are considered the ruling principle, and it is considered suspect to have too strong a loyalty to any particular model about the underlying structure of the economy.

Meanwhile, if the quantity of information is increasing by 2.5 quintillion bytes per day, the amount of useful information almost certainly isn’t. Most of it is just noise, and the noise is increasing faster than the signal. There are so many hypotheses to test, so many data sets to mine—but a relatively constant amount of objective truth.

Meanwhile, the extraordinary measures we take to stay abreast of each minuscule change to the data stream end up magnifying the relative importance of these blips to the real scheme of things. Investors trade, politicians respond, and friends judge based on the micromovements of virtual needles. By dividing our attention between our digital extensions, we sacrifice our connection to the truer present in which we are living. The tension between the faux present of digital bombardment and the true now of a coherently living human generated the second kind of present shock, what we're calling digiphrenia—digi for "digital," and phrenia for "disordered condition of mental activity.

The importance of experimental proof, on the other hand, does not mean that without new experimental data we cannot make advances. It is often said that science takes steps forward only when there is new experimental data. If this were true, we would have little hope of finding the theory of quantum gravity before measuring something new, but this is patently not the case. Which new data were available to Copernicus? None. He had the same data as Ptolemy. Which new data did Newton have? Almost none. His real ingredients were Kepler's laws and Galileo's results. What new data did Einstein have to discover general relativity? None. His ingredients were special relativity and Newton's theory. It simply isn't true that physics only advances when it is afforded new data.

Empirically, things are poignant, tragic, beautiful, humorous, settled, disturbed, comfortable, annoying, barren, harsh, consoling, splendid, fearful; are such immediately and in their own right and behalf.... These traits stand in themselves on precisely the same level as colours, sounds, qualities of contact, taste and smell. Any criterion that finds the latter to be ultimate and "hard" data will, impartially applied, come to the same conclusion about the former. -Any- quality as such is final; it is at once initial and terminal; just what it is as it exists. it may be referred to other things, it may be treated as an effect or a sign. But this involves an extraneous extension and use. It takes us beyond quality in its immediate qualitativeness.... The surrender of immediate qualities, sensory and significant, as objects of science, and as proper forms of classification and understanding, left in reality these immediate qualities just as they were; since they are -had- there is no need to -know- them. But... the traditional view that the object of knowledge is reality par excellence led to the conclusion that the object of science was preeminently metaphysically real. Hence, immediate qualities, being extended from the object of science, were left thereby hanging loose from the "real" object. Since their -existence- could not be denied, they were gathered together into a psychic realm of being, set over against the object of physics. Given this premise, all the problems regarding the relation of mind and matter, the psychic and the bodily, necessarily follow. Change the metaphysical premise; restore, that is to say, immediate qualities to their rightful position as qualities of inclusive situations, and the problems in question cease to be epistemological problems. They become specifiable scientific problems; questions, that is to say, of how such and such an event having such and such qualities actually occurs.

The CEO is the "Chief Combatant," warrior number one. Instilling a fighting spirit into your company is key to winning in the market place. CEOs can't manage from behind the desk—you need to be the first guy or gal over the barricades, gloves off. You need to know from experience what it's like getting your nose bloodied; otherwise, your troops can't relate to you and you can't relate to them.

He made imaginative leaps and discerned great principles through thought experiments rather than by methodical inductions based on experimental data. The theories that resulted were at times astonishing, mysterious, and counterintuitive, yet they contained notions that could capture the popular imagination: the relativity of space and time, E=mc2, the bending of light beams, and the warping of space. Adding

In the name of speed, Morse and Vail had realized that they could save strokes by reserving the shorter sequences of dots and dashes for the most common letters. But which letters would be used most often? Little was known about the alphabet’s statistics. In search of data on the letters’ relative frequencies, Vail was inspired to visit the local newspaper office in Morristown, New Jersey, and look over the type cases.

Although it is true that everyone orients himself in accordance with the data supplied by the outside world, we see every day that the data in themselves are only relatively decisive...One man resigns himself to circumstances because experience has shown him that nothing else is possible, another is convinced that though things have gone the same way a thousand times before, the thousand and first time will be different.

The sphere to end all spheres—the largest and most perfect of them all—is the entire observable universe. In every direction we look, galaxies recede from us at speeds proportional to their distance. As we saw in the first few chapters, this is the famous signature of an expanding universe, discovered by Edwin Hubble in 1929. When you combine Einstein’s relativity and the velocity of light and the expanding universe and the spatial dilution of mass and energy as a consequence of that expansion, there is a distance in every direction from us where the recession velocity for a galaxy equals the speed of light. At this distance and beyond, light from all luminous objects loses all its energy before reaching us. The universe beyond this spherical “edge” is thus rendered invisible and, as far as we know, unknowable. There’s a variation of the ever-popular multiverse idea in which the multiple universes that comprise it are not separate universes entirely, but isolated, non-interacting pockets of space within one continuous fabric of space-time—like multiple ships at sea, far enough away from one another so that their circular horizons do not intersect. As far as any one ship is concerned (without further data), it’s the only ship on the ocean, yet they all share the same body of water.

Relativistic twins? When one looks at the paths that Newton and Einstein followed while pursuing their theories of gravity, one is struck by the many similarities: the unexplained data on orbits, the sudden insight about falling objects, the need for a new mathematics, the calculational difficulties, the retroactive agreements, the controversy, the problem-plagued expeditions, and the final triumph and acclaim.. Both men had worked in the same eccentric and lonely way, divorced from other scientists, armed with a great feeling of self-reliance while struggling with new concepts and difficult mathematics, and both produced earth-shaking results. One can't help but wonder if these two greatest of scientists, born 237 years apart, were "relativistically related", conceived as twins in some ethereal plane in a far-off galaxy and sent to earth to solve a matter of some gravity.

There's a myth that with age the vagina risks a "use it or lose it" scenario - meaning without the potency of a penis the vagina may shrink permanently. It's simply shocking (imagine my voice dripping in sarcasm) that there's no similar myth that the penis can avoid shrinkage with regular vaginal contact. The "use it or lose it" theory was based on lower quality data that wouldn't be accepted today. Loss of estrogen and age related changes are what affect a vagina: it's not a lament for the touch of a man.

Most of us didn’t feel too enthusiastic about making a collapsar jump, either. We’d been assured that we wouldn’t even feel it happen, just free fall all the way. I wasn’t convinced. As a physics student, I’d had the usual courses in general relativity and theories of gravitation. We only had a little direct data at that time — Stargate was discovered when I was in grade school — but the mathematical model seemed clear enough. The collapsar Stargate was a perfect sphere about three kilometers in radius. It was suspended forever in a state of gravitational collapse that should have meant its surface was dropping toward its center at nearly the speed of light. Relativity propped it up, at least gave it the illusion of being there … the way all reality becomes illusory and observer-oriented when you study general relativity. Or Buddhism. Or get drafted. At any rate, there would be a theoretical point in space-time when one end of our ship was just above the surface of the collapsar, and the other end was a kilometer away (in our frame of reference). In any sane universe, this would set up tidal stresses and tear the ship apart, and we would be just another million kilograms of degenerate matter on the theoretical surface, rushing headlong to nowhere for the rest of eternity or dropping to the center in the next trillionth of a second. You pays your money and you takes your frame of reference. But they were right. We blasted away from Stargate 1, made a few course corrections and then just dropped, for about an hour.

In fact, as these companies offered more and more (simply because they could), they found that demand actually followed supply. The act of vastly increasing choice seemed to unlock demand for that choice. Whether it was latent demand for niche goods that was already there or a creation of new demand, we don't yet know. But what we do know is that the companies for which we have the most complete data - netflix, Amazon, Rhapsody - sales of products not offered by their bricks-and-mortar competitors amounted to between a quarter and nearly half of total revenues - and that percentage is rising each year. in other words, the fastest-growing part of their businesses is sales of products that aren't available in traditional, physical retail stores at all. These infinite-shelf-space businesses have effectively learned a lesson in new math: A very, very big number (the products in the Tail) multiplied by a relatives small number (the sales of each) is still equal to a very, very big number. And, again, that very, very big number is only getting bigger. What's more, these millions of fringe sales are an efficient, cost-effective business. With no shelf space to pay for - and in the case of purely digital services like iTunes, no manufacturing costs and hardly any distribution fees - a niche product sold is just another sale, with the same (or better) margins as a hit. For the first time in history, hits and niches are on equal economic footing, both just entries in a database called up on demand, both equally worthy of being carried. Suddenly, popularity no longer has a monopoly on profitability.

If you could put the benefits of exercise in a pill, it would be an astonishing pill,” says Simon Melov, a researcher at the Buck Institute who has studied exercise extensively. “The data is now coming out on the effects of chronic exercise, and it is astonishing in terms of its ability to prevent all sorts of age-related disease, everything from cancer through to neurodegenerative disease to heart disease, even arthritis. All of these things have vastly lowered risk in people who exercise regularly—and if that was in a pill, it would be insane.

Kant had overlooked a fundamental and immediate type of data about ourselves: our own bodies and our own feelings. We can know ourselves from the inside, he insisted. We have direct, immediate knowledge, not dependent on our perceptions. Hence, he was the first philosopher to look at impulses and feelings from the inside, and for the rest of his career he wrote extensively about interior human concerns: sex, love, death, dreams, suffering, religion, suicide, relations with others, vanity, self-esteem. More than any other philosopher, he addressed those

Big data is based on the feedback economy where the Internet of Things places sensors on more and more equipment. More and more data is being generated as medical records are digitized, more stores have loyalty cards to track consumer purchases, and people are wearing health-tracking devices. Generally, big data is more about looking at behavior, rather than monitoring transactions, which is the domain of traditional relational databases. As the cost of storage is dropping, companies track more and more data to look for patterns and build predictive models".

At the time of this writing, our knowledge of East Asian population history is relatively limited compared to that of West Eurasia because less than 5 percent of published ancient DNA data comes from East Asia. The difference reflects the fact that ancient DNA technology was invented in Europe, and it is nearly impossible for researchers to export samples from China and Japan because of government restrictions or a preference that studies be led by local scientists. This has meant that these regions have missed out on the first few years of the ancient DNA revolution.

In the late twentieth century democracies usually outperformed dictatorships because democracies were better at data-processing. Democracy diffuses the power to process information and make decisions among many people and institutions, whereas dictatorship concentrates information and power in one place. Given twentieth-century technology, it was inefficient to concentrate too much information and power in one place. Nobody had the ability to process all the information fast enough and make the right decisions. This is part of the reason why the Soviet Union made far worse decisions than the United States, and why the Soviet economy lagged far behind the American economy. “However, soon AI might swing the pendulum in the opposite direction. AI makes it possible to process enormous amounts of information centrally. Indeed, AI might make centralised systems far more efficient than diffused systems, because machine learning works better the more information it can analyse. If you concentrate all the information relating to a billion people in one database, disregarding all privacy concerns, you can train much better algorithms than if you respect individual privacy and have in your database only partial information on a million people. For example, if an authoritarian government orders all its citizens to have their DNA scanned and to share all their medical data with some central authority, it would gain an immense advantage in genetics and medical research over societies in which medical data is strictly private. The main handicap of authoritarian regimes in the twentieth century – the attempt to concentrate all information in one place – might become their decisive advantage in the twenty-first century.

TRUST IN ONE’S ORGANISM A second characteristic of the persons who emerge from therapy is difficult to describe. It seems that the person increasingly discovers that his own organism is trustworthy, that it is a suitable instrument for discovering the most satisfying behavior in each immediate situation. If this seems strange, let me try to state it more fully. Perhaps it will help to understand my description if you think of the individual as faced with some existential choice: “Shall I go home to my family during vacation, or strike out on my own?” “Shall I drink this third cocktail which is being offered?” “Is this the person whom I would like to have as my partner in love and in life?” Thinking of such situations, what seems to be true of the person who emerges from the therapeutic process? To the extent that this person is open to all of his experience, he has access to all of the available data in the situation, on which to base his behavior. He has knowledge of his own feelings and impulses, which are often complex and contradictory. He is freely able to sense the social demands, from the relatively rigid social “laws” to the desires of friends and family. He has access to his memories of similar situations, and the consequences of different behaviors in those situations. He has a relatively accurate perception of this external situation in all of its complexity. He is better able to permit his total organism, his conscious thought participating, to consider, weigh and balance each stimulus, need, and demand, and its relative weight and intensity. Out of this complex weighing and balancing he is able to discover that course of action which seems to come closest to satisfying all his needs in the situation, long-range as well as immediate needs.

In fact this desire for consonance in the apocalyptic data, and our tendency to be derisive about it, seem to me equally interesting. Each manifests itself, in the presence of the other, in most of our minds. We are all ready to be sceptical about Father Marystone, but we are most of us given to some form of 'centurial mysticism,' and even to more extravagant apocalyptic practices: a point I shall be taking up in my fourth talk. What it seems to come to is this. Men in the middest make considerable imaginative investments in coherent patterns which, by the provision of an end, make possible a satisfying consonance with the origins and with the middle. That is why the image of the end can never be permanently falsified. But they also, when awake and sane, feel the need to show a marked respect for things as they are; so that there is a recurring need for adjustments in the interest of reality as well as of control. This has relevance to literary plots, images of the grand temporal consonance; and we may notice that there is the same co-existence of naïve acceptance and scepticism here as there is in apocalyptic. Broadly speaking, it is the popular story that sticks most closely to established conventions; novels the clerisy calls 'major' tend to vary them, and to vary them more and more as time goes by. I shall be talking about this in some detail later, but a few brief illustrations might be useful now. I shall refer chiefly to one aspect of the matter, the falsification of one's expectation of the end. The story that proceeded very simply to its obviously predestined end would be nearer myth than novel or drama. Peripeteia, which has been called the equivalent, in narrative, of irony in rhetoric, is present in every story of the least structural sophistication. Now peripeteia depends on our confidence of the end; it is a disconfirmation followed by a consonance; the interest of having our expectations falsified is obviously related to our wish to reach the discovery or recognition by an unexpected and instructive route. It has nothing whatever to do with any reluctance on our part to get there at all. So that in assimilating the peripeteia we are enacting that readjustment of expectations in regard to an end which is so notable a feature of naïve apocalyptic. And we are doing rather more than that; we are, to look at the matter in another way, re-enacting the familiar dialogue between credulity and scepticism. The more daring the peripeteia, the more we may feel that the work respects our sense of reality; and the more certainly we shall feel that the fiction under consideration is one of those which, by upsetting the ordinary balance of our naïve expectations, is finding something out for us, something real. The falsification of an expectation can be terrible, as in the death of Cordelia; it is a way of finding something out that we should, on our more conventional way to the end, have closed our eyes to. Obviously it could not work if there were not a certain rigidity in the set of our expectations.

In conclusion, I return to Einstein. If we find a planet in the Alpha Centauri system, its image, captured by a camera travelling at a fifth of light speed, will be slightly distorted due to the effects of special relativity. It would be the first time a spacecraft has flown fast enough to see such effects. In fact, Einstein’s theory is central to the whole mission. Without it we would have neither lasers nor the ability to perform the calculations necessary for guidance, imaging and data transmission over twenty-five trillion miles at a fifth of light speed. We can see a pathway between that sixteen-year-old boy dreaming of riding on a light beam and our own dream, which we are planning to turn into a reality, of riding our own light beam to the stars. We are standing at the threshold of a new era. Human colonisation on other planets is no longer science fiction. It can be science fact. The human race has existed as a separate species for about two million years. Civilisation began about 10,000 years ago, and the rate of development has been steadily increasing. If humanity is to continue for another million years, our future lies in boldly going where no one else has gone before. I hope for the best. I have to. We have no other option.

He – and it implicitly is a he – doesn’t need to concern himself with taking care of children and elderly relatives, of cooking, of cleaning, of doctor’s appointments, and grocery shopping, and grazed knees, and bullies, and homework, and bath-time and bedtime, and starting it all again tomorrow. His life is simply and easily divided into two parts: work and leisure. But a workplace predicated on the assumption that a worker can come into work every day, at times and locations that are wholly unrelated to the location or opening hours of schools, childcare centres, doctors and grocery stores, simply doesn’t work for women.

tip for applying this learning: To get people to “fall in love” with your ideas, don’t solely rely on numbers and data. People can tune out this type of input relatively easily. But if you communicate with a story or experience, you create an emotion. Start your next meeting with a story instead of a spreadsheet. Make your audience feel as well as think. Connect emotionally with them by telling a personal anecdote that reinforces the point of your presentation. Or draw upon a nostalgic shared memory. Once you inspire emotion, your listener will be less likely to disengage, and more likely to remember and respond to your message.

We have first to distinguish knowledge of things and knowledge of truths. In each there are two kinds, one immediate and one derivative. Our immediate knowledge of things, which we called acquaintance, consists of two sorts, according as the things known are particulars or universals. Among particulars, we have acquaintance with sense-data and (probably) with ourselves. Among universals, there seems to be no principle by which we can decide which can be known by acquaintance, but it is clear that among those that can be so known are sensible qualities, relations of space and time, similarity, and certain abstract logical universals. Our derivative knowledge of things, which we call knowledge by description, always involves both acquaintance with something and knowledge of truths. Our immediate knowledge of truths may be called intuitive knowledge, and the truths so known may be called self-evident truths. Among such truths are included those which merely state what is given in sense, and also certain abstract logical and arithmetical principles, and (though with less certainty) some ethical propositions. Our derivative knowledge of truths consists of everything that we can deduce from self-evident truths by the use of self-evident principles of deduction.

These stories are real, the dreams are real, yet the dilemmas each person faces are founded on the presences that haunt from their past. We see again the twin mechanisms present in all relationships: projection and transference. Each of them, meeting any stranger, reflexively scans the data of history for clues, expectations, possibilities. This scanning mechanism is instantaneous, mostly unconscious, and then the lens of history slips over one's eyes. This refractive lens alters the reality of the other and brings to consciousness a necessarily distorted picture. Attached to that particular lens is a particular history, the dynamics, the script, the outcomes of which are part of the transferred package. Freud once humorously speculated that when a couple goes to bed there are six people jammed together because the spectral presences of the parents are unavoidable. One would have to add to this analogy the reminder that those parents also import their own relational complexes from their parents, so we quickly have fourteen underfoot, not to mention the persistence of even more ancestral influences. How could intimate relationships not be congested arenas? As shopworn as the idea seems, we cannot overemphasize the importance of primal imagoes playing a domineering role in our relational patterns. They may be unconscious, which grants them inordinate power, or we may flee them, but they are always present. Thus, for example, wherever the parent is stuck—such as Damon's mother who only equates sexuality with the perverse and the unappealing, and his father who stands de-potentiated and co-opted—so the child will feel similarly constrained or spend his or her life trying to break away (“anything but that”) and still be defined by someone else's journey. How could Damon not feel depressed, then, at his own stuckness, and how could he not approach intimacy with such debilitating ambivalence?

It’s important to note, as we endeavor to understand relative harms, that they are entirely dependent on context. For example, if a high-risk score for a given defendant qualified him for a reentry program that would help him find a job upon release from prison, we’d be much less worried about false positives. Or in the case of the child abuse algorithm, if we are sure that a high-risk score leads to a thorough and fair-minded investigation of the situation at home, we’d be less worried about children unnecessarily removed from their parents. In the end, how an algorithm will be used should affect how it is constructed and optimized.

Hume had shown that we naively read causality into this world and think that we grasp necessary succession in intuition. The same is true of everything that makes the body of the everyday surrounding world into an identical thing with identical properties, relations, etc. (and Hume had in fact worked this out in detail in the Treatise, which was unknown to Kant). Data and complexes of data come and go, but the thing, presumed to be simply experienced sensibly, is not something sensible which persists through this alteration. The sensationalist thus declares it to be a fiction. He is substituting, we shall say, mere sense-data for perception, which after all places things (everyday things) before our eyes. In other words, he overlooks the fact that mere sensibility, related to mere data of sense, cannot account for objects of experience. Thus he overlooks the fact that these objects of experience point to a hidden mental accomplishment and to the problem of what kind of an accomplishment this can be. From the very start, after all, it must be a kind which enables the objects of pre-scientific experience, through logic, mathematics, mathematical natural science, to be knowable with objective validity, i.e., with a necessity which can be accepted by and is binding for everyone.

An important attribute of metabolites is their close relationship to both the biological states of interest (i.e. disease status) and relevant genomic, transcriptomic, and proteomic variants causally related to the disease state. As such, metabo-profiles can be viewed as an intermediate measure that links pre-disposing genes and environmental exposures to a resulting disease state. Causal metabolites also typically have a stronger relationship (i.e. larger effect size) to the underlying genetics and the disease phenotype. Thus, the integration of metabolomic data into systems biology approaches may provide a missing link between genes and disease states.

From these data it is easy to conclude that Adam’s sleep has prepared him for a visionary experience rather than for a surgical procedure. The description of himself being cut in half and the woman being built from the other half (Gen 2:21-22) would refer not to something he physically experienced but to something that he saw in a vision. It would therefore not describe a material event but would give him an understanding of an important reality, which he expresses eloquently in Genesis 2:23. Consequently, we would then be able to conclude that the text does not describe the material origin of Eve. The vision would concern her identity as ontologically related to the man.

...Subordination of the state to Christian values is precisely what the early Puritans, even those in the tradition of the Mayflower Pilgrims, aimed to do. The First Amendment notwithstanding, large numbers of the American public (especially churchgoing Protestant Christians) have embodied this Puritan way of thinking, viewing America as a "Christan nation." Relatively recent poll data bear out the enduring character of these Puritan convictions. According to a Pew Forum poll held just prior to the 2004 election, over one-half of the public would have reservations voting for a candidate with no religious affiliation (31 percent refusing to vote for a Muslim and 15 percent for a Catholic).

Research has established that, oftentimes, when kids are struggling, it is not therapy for the child himself but coaching or therapy for the parent that leads to the most significant changes in the child. This is powerful research, because it suggests that a child’s behavior—which is an expression of a child’s emotion regulation patterns—develops in relation to a parent’s emotional maturity. There are two ways to interpret this data. The first is, “Oh no, I’m messing up my kid because I’m messed up. I’m the worst!” But there’s another, more optimistic and encouraging interpretation: “Wow, this is amazing. If I can work on some of my own emotion regulation abilities—which will feel good for me anyway!—my

Artificial Intelligence, deep learning, natural language processing, computer vision, and other related characteristics: super-computing, eventually quantum-computing, and nano and bio technologies; advanced big-data analytics; and other emerging technologies are beginning to offer an entirely new way of war, and at command speeds hitherto unimaginable. The revolution in sensor and command and control technologies is matched and enabled by developments in long-range, hypersonic “intelligent” weaponry and new swarms of killing machines allied to a range of directed-energy weapons. Such a potentially revolutionary change in the character and conduct of war must necessarily impose entirely new ways of defense.

Has ‘Western civilization’ really made life better for everyone? This ultimately comes down to the question of how to measure human happiness, which is a notoriously difficult thing to do. About the only dependable way anyone has ever discovered to determine whether one way of living is really more satisfying, fulfilling, happy or otherwise preferable to any other is to allow people to fully experience both, give them a choice, then watch what they actually do. For instance, if Pinker is correct, then any sane person who had to choose between (a) the violent chaos and abject poverty of the ‘tribal’ stage in human development and (b) the relative security and prosperity of Western civilization would not hesitate to leap for safety.25 But empirical data is available here, and it suggests something is very wrong with Pinker’s conclusions.

In the late twentieth century democracies usually outperformed dictatorships because democracies were better at data-processing. Democracy diffuses the power to process information and make decisions among many people and institutions, whereas dictatorship concentrates information and power in one place. Given twentieth-century technology, it was inefficient to concentrate too much information and power in one place. Nobody had the ability to process all the information fast enough and make the right decisions. This is part of the reason why the Soviet Union made far worse decisions than the United States, and why the Soviet economy lagged far behind the American economy. However, soon AI might swing the pendulum in the opposite direction. AI makes it possible to process enormous amounts of information centrally. Indeed, AI might make centralised systems far more efficient than diffused systems, because machine learning works better the more information it can analyse. If you concentrate all the information relating to a billion people in one database, disregarding all privacy concerns, you can train much better algorithms than if you respect individual privacy and have in your database only partial information on a million people. For example, if an authoritarian government orders all its citizens to have their DNA scanned and to share all their medical data with some central authority, it would gain an immense advantage in genetics and medical research over societies in which medical data is strictly private. The main handicap of authoritarian regimes in the twentieth century – the attempt to concentrate all information in one place – might become their decisive advantage in the twenty-first century.

Clients recognize excessive self-orientation through such things as: 1. A tendency to relate their stories to ourselves 2. A need to too quickly finish their sentences for them 3. A need to fill empty spaces in conversations 4. A need to appear clever, bright, witty, etc. 5. An inability to provide a direct answer to a direct question 6. An unwillingness to say we don’t know 7. Name-dropping of other clients 8. A recitation of qualifications 9. A tendency to give answers too quickly 10. A tendency to want to have the last word 11. Closed-ended questions early on 12. Putting forth hypotheses or problem statements before fully hearing the client’s hypotheses or problem statements 13. Passive listening; a lack of visual and verbal cues that indicate the client is being heard 14. Watching the client as if he/she were a television set (merely a source of data)

This is why today a country’s credit rating is far more important to its economic well-being than are its natural resources. Credit ratings indicate the probability that a country will pay its debts. In addition to purely economic data, they take into account political, social and even cultural factors. An oil-rich country cursed with a despotic government, endemic warfare and a corrupt judicial system will usually receive a low credit rating. As a result, it is likely to remain relatively poor since it will not be able to raise the necessary capital to make the most of its oil bounty. A country devoid of natural resources, but which enjoys peace, a fair judicial system and a free government is likely to receive a high credit rating. As such, it may be able to raise enough cheap capital to support a good education system and foster a flourishing high-tech industry.

One recent case highlighted by Dan Simons relates again to the work of Yale psychologist John Bargh. In 2012, Bargh and colleague Idit Shalev published a study claiming that lonelier people prefer warmer baths and showers, thereby compensating for a lack of “social warmth” through physical warmth.44 In 2014, psychologist Brent Donnellan and colleagues reported a failure to replicate this finding—and not just in a single experiment but across nine experiments and more than 3,000 participants, over 30 times the sample size of the original study.45 Despite this failure to replicate, as well as the presence of unexplained anomalies in the original data, Bargh and Shalev refused to retract their original paper. In many other sciences, a false discovery of this magnitude would automatically trigger excision of the original work from the scientific record. In psychology, unreliability is business as usual.

There was a time when the public had an unquestionable faith in biomedicine and the practitioners who translated it into everyday patient care—and physicians believed that the public's trust was justified based on their educational qualifications and training. But today, many patients believe that individual clinicians must earn their trust, just as a close relative has earned it through shared experience. ...Gallop polling over the last several decades that demonstrates how much the public's confidence in most US institutions has deteriorated. Confidence in the medical system in particular fell from 80% in 1975 to 37% in 2015. Statistics from the General Social Survey confirm this troubling trend. Baron and Berinsky explain the historical reasons for this shift in attitudes, but the more pressing question is: How can individual clinicians, and the profession as a whole, regain the patients' trust? 

Most geniuses responsible for the major mutations in the history of thought seem to have certain features in common; on the one hand scepticism, often carried to the point of icon-oclasm, in their attitude towards traditional ideas, axioms and dogmas, towards everything that is taken for granted; on the other hand, an open-mindedness that verges on na- ïve credulity towards new concepts which seem to hold out some promise to their instinctive gropings. Out of this combination results that crucial capacity of perceiving a familiar object, situation, problem, or collection of data, in a sudden new light or new context: of seeing a branch not as part of a tree, but as a potential weapon or tool; of associating the fall of an apple not with its ripeness, but with the motion of the moon. The discoverer perceives relational patterns or functional analogies where nobody saw them before, as the poet perceives the image of a camel in a drifting cloud.

The fractal panopticon If, following Bentham, we regard panopticism as a modality of power that rests on the principle of ‘seeing without being seen’, made possible by a flow of information that turns real subjects and activities into data, shadowy projections of real subjects, then, combining these principles of panopticism with its property of modularisation and Hayek’s characterisation of the market as the coordinating mechanism of the action of private individuals, we can understand the rationale of the neoliberal project as one aiming at the construction of a system of interrelated virtual ‘inspection houses’, which we may call the ‘fractal panopticon’. Each panopticon, that is each set of interrelationships of control and resistance defined by a scale of social action, is in turn a singularity within a series of singularities, which stand in relation to each other in such a way that their action constitutes a ‘watchtower’ that is external to them, thus forming a greater panopticon – and so on, in a potentially infinite series.

One other thing. And this really matters for readers of this book. According to official Myers–Briggs documents, the test can ‘give you an insight into what kinds of work you might enjoy and be successful doing’. So if you are, like me, classified as ‘INTJ’ (your dominant traits are being introverted, intuitive and having a preference for thinking and judging), the best-fit occupations include management consultant, IT professional and engineer.30 Would a change to one of these careers make me more fulfilled? Unlikely, according to respected US psychologist David Pittenger, because there is ‘no evidence to show a positive relation between MBTI type and success within an occupation…nor is there any data to suggest that specific types are more satisfied within specific occupations than are other types’. Then why is the MBTI so popular? Its success, he argues, is primarily due to ‘the beguiling nature of the horoscope-like summaries of personality and steady marketing’.31 Personality tests have their uses, even if they do not reveal any scientific ‘truth’ about us. If we are in a state of confusion they can be a great emotional comfort, offering a clear diagnosis of why our current job may not be right, and suggesting others that might suit us better. They also raise interesting hypotheses that aid self-reflection: until I took the MBTI, I had certainly never considered that IT could offer me a bright future (by the way, I apparently have the wrong personality type to be a writer). Yet we should be wary about relying on them as a magic pill that enables us suddenly to hit upon a dream career. That is why wise career counsellors treat such tests with caution, using them as only one of many ways of exploring who you are. Human personality does not neatly reduce into sixteen or any other definitive number of categories: we are far more complex creatures than psychometric tests can ever reveal. And as we will shortly learn, there is compelling evidence that we are much more likely to find fulfilling work by conducting career experiments in the real world than by filling out any number of questionnaires.32

I have come round to the opposite point of view than that recommended by what we might term the dominant discourse on managing conflict. Instead of assuming managers can adopt an objective position, deciding what type of conflict they have on their hands and so which tool or technique they might choose to resolve it for the optimum working of the organization, I am assuming that there is no objective position to be found. Rather, what managers might do instead is to immerse themselves as fully as possible in the complex responsive processes of relating which take place in all social life, noticing their own reactions to and perspectives on the situation as important data in deciding what to do about it. They are caught up in complex social relationships which are forming them, and which they are forming, and these contribute to the regular irregularity of organizational life. Managers would be naïve to anticipate that emotions are absent from everyday organizational life; indeed, it is most likely to provoke strong emotions as people endure the flux and change in the emerging balance of forces.

The policy debate about sanctions has been repeated almost every decade since the [League of Nations] was created in the wake of World War I. At its core has been the perennial question: do economic sanctions work? While the success rate differs depending on the objective, the historical record is relatively clear: most economic sanctions have not worked. In the twentieth century, only one in three uses of sanctions was “at least partially successful.” More modest goals have better chances of success. But from the available data it is clear that the history of sanctions is largely a history of disappointment. What is striking is that this limited utility has not affected frequency of use. To the contrary: sanctions use doubled in the 1990s and 2000s compared to the period from 1950 to 1985; by the 2010s it had doubled again. Yet while in the 1985–1995 period, at a moment of great relative Western power, the chances of sanctions success were still around 35–40 percent, by 2016 this had fallen below 20 percent. In other words, while the use of sanctions has surged, their odds of success have plummeted.

Search engine query data is not the product of a designed statistical experiment and finding a way to meaningfully analyse such data and extract useful knowledge is a new and challenging field that would benefit from collaboration. For the 2012–13 flu season, Google made significant changes to its algorithms and started to use a relatively new mathematical technique called Elasticnet, which provides a rigorous means of selecting and reducing the number of predictors required. In 2011, Google launched a similar program for tracking Dengue fever, but they are no longer publishing predictions and, in 2015, Google Flu Trends was withdrawn. They are, however, now sharing their data with academic researchers... Google Flu Trends, one of the earlier attempts at using big data for epidemic prediction, provided useful insights to researchers who came after them... The Delphi Research Group at Carnegie Mellon University won the CDC’s challenge to ‘Predict the Flu’ in both 2014–15 and 2015–16 for the most accurate forecasters. The group successfully used data from Google, Twitter, and Wikipedia for monitoring flu outbreaks.

Christianity and other traditional religions are still important players in the world. Yet their role is now largely reactive. In the past, they were a creative force. Christianity, for example, spread the hitherto heretical notion that all humans are equal before God, thereby changing human political structures, social hierarchies and even gender relations. In his Sermon on the Mount Jesus went further, insisting that the meek and oppressed are God’s favourite people, thus turning the pyramid of power on its head, and providing ammunition for generations of revolutionaries. In addition to social and ethical reforms, Christianity was responsible for important economic and technological innovations. The Catholic Church established medieval Europe’s most sophisticated administrative system, and pioneered the use of archives, catalogues, timetables and other techniques of data processing. The Vatican was the closest thing twelfth-century Europe had to Silicon Valley. The Church established Europe’s first economic corporations – the monasteries – which for 1,000 years spearheaded the European economy and introduced advanced agricultural and administrative methods.

I acknowledge readily that the Grant Study is not the only great prospective longitudinal lifetime study. There are others, three of which are better known than ours. Each has its own strengths and weaknesses. The Berkeley and Oakland Growth Studies (1930–2009) from the University of California at Berkeley include both sexes and began when the participants were younger; they provide more sophisticated childhood psychosocial data but little medical information.5 These cohorts have been very intensively studied, but they are smaller and have suffered greater attrition than ours. The Framingham Study (1946 to the present) and the Nurses Study at the Harvard School of Public Health (1976 to the present) boast better physical health coverage, but they lack psychosocial data.6 These are wonderful world-class studies, invaluable in their own ways, and more frequently cited than the Grant Study. But even in this august company the Grant Study is unmistakable and unique. It has been funded continuously for more than seventy years; it has had the highest number of contacts with its members and the lowest attrition rate of all; it has interviewed three generations of relatives; and, most

If the law of gravitation be regarded as universal, the point may be stated as follows. The laws of motion require to be stated by reference to what have been called kinetic axes: these are in reality axes having no absolute acceleration and no absolute rotation. It is asserted, for example, when the third law is combined with the notion of mass, that, if m, m' be the masses of two particles between which there is a force, the component accelerations of the two particles due to this force are in the ratio m2 : m1. But this will only be true if the accelerations are measured relative to axes which themselves have no acceleration. We cannot here introduce the centre of mass, for, according to the principle that dynamical facts must be, or be derived from, observable data, the masses, and therefore the centre of mass, must be obtained from the acceleration, and not vice versâ. Hence any dynamical motion, if it is to obey the laws of motion, must be referred to axes which are not subject to any forces. But, if the law of gravitation be accepted, no material axes will satisfy this condition. Hence we shall have to take spatial axes, and motions relative to these are of course absolute motions. 465. In order to avoid this conclusion, C. Neumann* assumes as an essential part of the laws of motion the existence, somewhere, of an absolutely rigid “Body Alpha”, by reference to which all motions are to be estimated. This suggestion misses the essence of the discussion, which is (or should be) as to the logical meaning of dynamical propositions, not as to the way in which they are discovered. It seems sufficiently evident that, if it is necessary to invent a fixed body, purely hypothetical and serving no purpose except to be fixed, the reason is that what is really relevant is a fixed place, and that the body occupying it is irrelevant. It is true that Neumann does not incur the vicious circle which would be involved in saying that the Body Alpha is fixed, while all motions are relative to it; he asserts that it is rigid, but rightly avoids any statement as to its rest or motion, which, in his theory, would be wholly unmeaning. Nevertheless, it seems evident that the question whether one body is at rest or in motion must have as good a meaning as the same question concerning any other body; and this seems sufficient to condemn Neumann’s suggested escape from absolute motion.

Things have becone even more mysterious. We have recently discovered that when we make observations at still larger scales, corresponding to billions of light-years, the equations of general relativity are not satisfied even when the dark matter is added in. The expansion of the universe, set in motion by the big bang some 13.7 billion years ago, appears to be accelerating, whereas, given the observed matter plus the calculated amount of dark matter, it should be doing the opposite-decelerating. Again there are two possible explanations. General relativity could simply be wrong. It has been verified precisely only within our solar system and nearby systems in our own galaxy. Perhaps when one gets to a scale comparable to the size of the whole universe, general relativity is simply no longer applicable. Or there is a new form of matter-or energy (recall Einstein's famous equation E=mc^2, showing the equivalence of energy and mass)-that becomes relevant on these very large scales: That is, this new form of energy affects only the expansion of the universe. To do this, it cannot clump around galaxies or even clusters of galaxies. This strange new energy, which we have postulated to fit the data, is called the dark energy.

How do you commit the perfect crime in science? We’re handicapped from the start because it’s a question we never ask. For more than thirty years, Frank taught me and many others to record our data accurately, compare them with collaborators around the world, discard the outliers, and come to a consensus. We understand there are variations, but if the bulk of the evidence goes in a certain direction, we are confident we have a better understanding of human biological processes. If only that were what happened in the real world. In the real world there are corporations, be they pharmaceutical, agricultural, petroleum, or chemical companies, that have billions of dollars at stake in the work of scientists. If one has billions of dollars, he can use the dark arts of persuasion to hire public relations firms to tout your products, sow the seeds of doubt about those who question your products, buy advertising on news networks so they don’t publicize negative stories unless they have no other choice, and donate to politicians of all ideologies. Then, once those politicians have been elected, they can write laws for the benefit of their generous donors. As it was put so eloquently in the seventeenth century by a prominent member of Queen Elizabeth’s court, “If it prospers, none dare call it treason.

Despite the advancements of systematic experimental pipelines, literature-curated protein-interaction data continue to be the primary data for investigation of focused biological mechanisms. Notwithstanding the variable quality of curated interactions available in public databases, the impact of inspection bias on the ability of literature maps to provide insightful information remains equivocal. The problems posed by inspection bias extend beyond mapping of protein interactions to the development of pharmacological agents and other aspects of modern biomedicine. Essentially the same 10% of the proteome is being investigated today as was being investigated before the announcement of completion of the reference genome sequence. One way forward, at least with regard to interactome mapping, is to continue the transition toward systematic and relatively unbiased experimental interactome mapping. With continued advancement of systematic protein-interaction mapping efforts, the expectation is that interactome 'deserts', the zones of the interactome space where biomedical knowledge researchers simply do not look for interactions owing to the lack of prior knowledge, might eventually become more populated. Efforts at mapping protein interactions will continue to be instrumental for furthering biomedical research.

I will show that this spectacular increase in inequality largely reflects an unprecedented explosion of very elevated incomes from labor, a veritable separation of the top managers of large firms from the rest of the population. One possible explanation of this is that the skills and productivity of these top managers rose suddenly in relation to those of other workers. Another explanation, which to me seems more plausible and turns out to be much more consistent with the evidence, is that these top managers by and large have the power to set their own remuneration, in some cases without limit and in many cases without any clear relation to their individual productivity, which in any case is very difficult to estimate in a large organization. This phenomenon is seen mainly in the United States and to a lesser degree in Britain, and it may be possible to explain it in terms of the history of social and fiscal norms in those two countries over the past century. The tendency is less marked in other wealthy countries (such as Japan, Germany, France, and other continental European states), but the trend is in the same direction. To expect that the phenomenon will attain the same proportions elsewhere as it has done in the United States would be risky until we have subjected it to a full analysis—which unfortunately is not that simple, given the limits of the available data.

Once again, he was deducing a theory from principles and postulates, not trying to explain the empirical data that experimental physicists studying cathode rays had begun to gather about the relation of mass to the velocity of particles. Coupling Maxwell’s theory with the relativity theory, he began (not surprisingly) with a thought experiment. He calculated the properties of two light pulses emitted in opposite directions by a body at rest. He then calculated the properties of these light pulses when observed from a moving frame of reference. From this he came up with equations regarding the relationship between speed and mass. The result was an elegant conclusion: mass and energy are different manifestations of the same thing. There is a fundamental interchangeability between the two. As he put it in his paper, “The mass of a body is a measure of its energy content.” The formula he used to describe this relationship was also strikingly simple: “If a body emits the energy L in the form of radiation, its mass decreases by L/V 2.” Or, to express the same equation in a different manner: L=mV 2. Einstein used the letter L to represent energy until 1912, when he crossed it out in a manuscript and replaced it with the more common E. He also used V to represent the velocity of light, before changing to the more common c. So, using the letters that soon became standard, Einstein had come up with his memorable equation: E=mc2

People often consider social relationships only as negative forces in drug use. However, what they fail to understand is the complexity of group behavior. Human beings have always devised means of determining who is “us” and who is “them,” and the consumption of specific foods or drugs is typically one way of doing so. Teens are especially sensitive to these cues of belongingness, and so if drug use is the price of group membership, it’s one that many are willing to pay. Some groups, however, mark their boundaries by avoiding certain types of drug use—for example, athletes rejecting smoking, 1960s hippies rejecting hard liquor in favor of marijuana and LSD, and blacks avoiding methamphetamine because it is seen as a white drug. From the level of the clique to the level of the national culture, behavior related to drugs isn’t only about getting high; it’s often used to delineate group membership and social standing. The social aspects of drug use also change with age. For example, having children and getting married are both associated with reductions in drug use; one of many studies with similar findings in this literature found that people who are married are three times more likely to quit using cocaine and those who have children are more than twice as likely to stop.1 Similar data shows that people with close family and romantic relationships tend to have better outcomes in treatment2—and students’ feelings of social warmth and connectedness to school and parents are linked with reductions in drug problems.

Ultimately, the World Top Incomes Database (WTID), which is based on the joint work of some thirty researchers around the world, is the largest historical database available concerning the evolution of income inequality; it is the primary source of data for this book.24 The book’s second most important source of data, on which I will actually draw first, concerns wealth, including both the distribution of wealth and its relation to income. Wealth also generates income and is therefore important on the income study side of things as well. Indeed, income consists of two components: income from labor (wages, salaries, bonuses, earnings from nonwage labor, and other remuneration statutorily classified as labor related) and income from capital (rent, dividends, interest, profits, capital gains, royalties, and other income derived from the mere fact of owning capital in the form of land, real estate, financial instruments, industrial equipment, etc., again regardless of its precise legal classification). The WTID contains a great deal of information about the evolution of income from capital over the course of the twentieth century. It is nevertheless essential to complete this information by looking at sources directly concerned with wealth. Here I rely on three distinct types of historical data and methodology, each of which is complementary to the others.25 In the first place, just as income tax returns allow us to study changes in income inequality, estate tax returns enable us to study changes in the inequality of wealth.26 This

We have a crisis in this nation, and it has nothing to do with regulatory reform or marginal tax rates. This book is not going to be about politics. (Sorry to disappoint.) It’s about something deeper and more meaningful. Something a little harder to quantify but a lot more personal. Despite the astonishing medical advances and technological leaps of recent years, average life span is in decline in America for the third year in a row. This is the first time our nation has had even a two-year drop in life expectancy since 1962—when the cause was an influenza epidemic. Normally, declines in life expectancy are due to something big like that—a war, or the return of a dormant disease. But what’s the “big thing” going on in America now? What’s killing all these people? The 2016 data point to three culprits: Alzheimer’s, suicides, and unintentional injuries—a category that includes drug and alcohol–related deaths. Two years ago, 63,632 people died of overdoses. That’s 11,000 more than the previous year, and it’s more than the number of Americans killed during the entire twenty-year Vietnam War. It’s almost twice the number killed in automobile accidents annually, which had been the leading American killer for decades. In 2016, there were 45,000 suicides, a thirty-year high—and the sobering climb shows no signs of abating: the percentage of young people hospitalized for suicidal thoughts and actions has doubled over the past decade.1 We’re killing ourselves, both on purpose and accidentally. These aren’t deaths from famine, or poverty, or war. We’re literally dying of despair.

Biological systems are a chemical inevitability in the right circumstances. There is, of course, something special about life—I won’t take that away from it—but it is a chemical process, a dynamic, kinetic stability that exists, as your scientists have said, “far from thermodynamic equilibrium.” You don’t have to understand this or believe me, but life is fairly common in both time and space. It is not special, nor is it particularly fragile. The best measure I have of the size and complexity of a biosphere is calories of energy captured per square meter per year. Higher is more impressive, and always more beautiful, but this measures nothing of the creation of a system like humanity. For that, my awakened mind categorizes systems by bytes of information transmitted. This will sound to you like it’s a relatively new phenomenon on your planet, but it’s not. Even pelagibacter transmit information, if only to daughter cells. Ants spray pheromones, bees dance, birds sing—all of these are comparatively low-bandwidth systems for communication. But your system caused an inflection point. The graph of data flow switched from linear to exponential growth. Maybe you would call this system “humanity,” but I wouldn’t. It is not just a collection of individuals; it is also a collection of ideas stored inside of individuals and objects and even ideas inside ideas. If that seems like a trivial difference to you, well, I guess I can forgive you since you do not know what the rest of the universe looks like. Collections of individuals are beautiful, but they are as common as pelagibacter. Collections of ideas are veins of gold in our universe.

In the mid-twentieth century, the subfield of cosmology—not to be confused with cosmetology—didn’t have much data. And where data are sparse, competing ideas abound that are clever and wishful. The existence of the CMB was predicted by the Russian-born American physicist George Gamow and colleagues during the 1940s. The foundation of these ideas came from the 1927 work of the Belgian physicist and priest Georges Lemaître, who is generally recognized as the “father” of big bang cosmology. But it was American physicists Ralph Alpher and Robert Herman who, in 1948, first estimated what the temperature of the cosmic background ought to be. They based their calculations on three pillars: 1) Einstein’s 1916 general theory of relativity; 2) Edwin Hubble’s 1929 discovery that the universe is expanding; and 3) atomic physics developed in laboratories before and during the Manhattan Project that built the atomic bombs of World War II. Herman and Alpher calculated and proposed a temperature of 5 degrees Kelvin for the universe. Well, that’s just plain wrong. The precisely measured temperature of these microwaves is 2.725 degrees, sometimes written as simply 2.7 degrees, and if you’re numerically lazy, nobody will fault you for rounding the temperature of the universe to 3 degrees. Let’s pause for a moment. Herman and Alpher used atomic physics freshly gleaned in a lab, and applied it to hypothesized conditions in the early universe. From this, they extrapolated billions of years forward, calculating what temperature the universe should be today. That their prediction even remotely approximated the right answer is a stunning triumph of human insight.

The last refuge of the Self, perhaps, is “physical continuity.” Despite the body’s mercurial nature, it feels like a badge of identity we have carried since the time of our earliest childhood memories. A thought experiment dreamed up in the 1980s by British philosopher Derek Parfit illustrates how important—yet deceiving—this sense of physical continuity is to us.15 He invites us to imagine a future in which the limitations of conventional space travel—of transporting the frail human body to another planet at relatively slow speeds—have been solved by beaming radio waves encoding all the data needed to assemble the passenger to their chosen destination. You step into a machine resembling a photo booth, called a teletransporter, which logs every atom in your body then sends the information at the speed of light to a replicator on Mars, say. This rebuilds your body atom by atom using local stocks of carbon, oxygen, hydrogen, and so on. Unfortunately, the high energies needed to scan your body with the required precision vaporize it—but that’s okay because the replicator on Mars faithfully reproduces the structure of your brain nerve by nerve, synapse by synapse. You step into the teletransporter, press the green button, and an instant later materialize on Mars and can continue your existence where you left off. The person who steps out of the machine at the other end not only looks just like you, but etched into his or her brain are all your personality traits and memories, right down to the memory of eating breakfast that morning and your last thought before you pressed the green button. If you are a fan of Star Trek, you may be perfectly happy to use this new mode of space travel, since this is more or less what the USS Enterprise’s transporter does when it beams its crew down to alien planets and back up again. But now Parfit asks us to imagine that a few years after you first use the teletransporter comes the announcement that it has been upgraded in such a way that your original body can be scanned without destroying it. You decide to give it a go. You pay the fare, step into the booth, and press the button. Nothing seems to happen, apart from a slight tingling sensation, but you wait patiently and sure enough, forty-five minutes later, an image of your new self pops up on the video link and you spend the next few minutes having a surreal conversation with yourself on Mars. Then comes some bad news. A technician cheerfully informs you that there have been some teething problems with the upgraded teletransporter. The scanning process has irreparably damaged your internal organs, so whereas your replica on Mars is absolutely fine and will carry on your life where you left off, this body here on Earth will die within a few hours. Would you care to accompany her to the mortuary? Now how do you feel? There is no difference in outcome between this scenario and what happened in the old scanner—there will still be one surviving “you”—but now it somehow feels as though it’s the real you facing the horror of imminent annihilation. Parfit nevertheless uses this thought experiment to argue that the only criterion that can rationally be used to judge whether a person has survived is not the physical continuity of a body but “psychological continuity”—having the same memories and personality traits as the most recent version of yourself. Buddhists

At the end of World War II, some of the Grant Study men were majors; others were still privates. What made the difference? It turned out that the men’s attained military rank at discharge bore no relation to their body build, their parents’ social class, their endurance on the treadmill, or even their intelligence. What did correlate significantly with attained military rank was a generally cohesive home atmosphere in childhood and warm relationships with mother and siblings. Twenty-four of the twenty-seven men with the warmest childhoods made at least first lieutenant, and four became majors. In contrast, of the thirty men with the worst childhoods, thirteen failed to make first lieutenant, and none became majors. We don’t breed good officers; we don’t even build them on the playing fields of Eton; we raise them in loving homes. This result would undoubtedly have astonished physical anthropologist Earnest Hooton (see Chapter 3), whom the Study asked to write its first book.4 I offer this story for its morals. One is that belief isn’t enough—however impassioned our convictions, they need to be tested. Another is that information does nothing for us if we don’t make use of it. My brief excursion here answered a question that the Study had been entertaining from its very beginnings; the data that finally answered it had been available for almost seventy years. And a third: that longitudinal studies protect us from exactly such pitfalls, and from our other shortcomings of foresight and method. They give us the flexibility to re-ask old questions in new contexts, and to ask new questions of old data. That is a very important point of this book, and one I’ll keep returning to.

Back in 2015, a volunteer group called Bitnation set up something called the Blockchain Emergency ID. There’s not a lot of data on the project now, BE-ID - used public-key cryptography to generate unique IDs for people without their documents. People could verify their relations, that these people belonged to their family, and so on. It was a very modern way of maintaining an ID; secure, fast, and easy to use. Using the Bitcoin blockchain, the group published all these IDs on to a globally distributed public ledger, spread across the computers of every single Bitcoin user online - hundreds of thousands of users, in those times. Once published, no government could undo it; the identities would float around in the recesses of the Internet. As long as the network remained alive, every person's identity would remain intact, forever floating as bits and bytes between the nations: no single country, government or company could ever deny them this. “That was, and I don't say this often, the fucking bomb,” said Common, In one fell swoop, identities were taken outside government control. BE-ID, progressing in stages, became the refugees' gateway to social assistance and financial services. First it became compliant with UN guidelines. Then it was linked to a VISA card. And thus out of the Syrian war was something that looked like it could solve global identification forever. Experts wrote on its potential. No more passports. No more national IDs. Sounds familiar? Yes, that’s the United Nations Identity in a nutshell. Julius Common’s first hit - the global identity revolution that he sold first to the UN, and then to almost every government in the world - was conceived of when he was a teenager.

The intimate link existing between Yahweh and the Kenites is strengthened by the following observations: 1. The first mention of Yahweh (neither Elohim nor Yahweh-Elohim) in the book of Genesis is related to the birth of Cain: 'Now the man knew his wife Even, and she conceived and bore Cain, saying, "I have produced a man with the help of the LORD"' (Gen. 4.1). This may be a symbolic way to claim that the 'discovery' of Yahweh is concomitant to the discovery of metallurgy. 2. Enosh is mentioned in Genesis as the first man who worshipped Yahweh: 'To Seth also a son was born, and he names him Enosh. At that time people began to invoke the name of the LORD' (Gen. 4.26). Interestingly, Enosh is the father of Keynan (= Cain). Again, the worship of Yahweh appears to have been linked to the discovery of metallurgy. 3. The Kenites had a sign (taw) on their forehead. From Gen. 4.15, it appears that this sign signalled that Yahweh protects Cain and his sons. From Ezek. 9.4-6, it seems that, at the end of the First Temple period, a similar sign remained the symbol of devotion to Yahweh. 4. The book of Jeremiah confirms the existence of a Kenite worship of Yahweh as follows:'Jonadab son of Rechab shall not lack a descendant to stand before me [Yahweh] for all time' (Jer. 35.19). This fidelity of smelters and smiths to the initial Yahwistic tradition may explain why the liberators of Judah, Israel and Jerusalem are depicted as smiths in the book of Zechariah (Zech. 2.3-4). When considered together, these data suggest that Yahweh was intimately related with the metallurgists from the very discovery of copper smelting. (pp. 393-394) from 'Yahweh, the Canaanite God of Metallurgy?', JSOT 33.4 (2009): 387-404

In September 1999, the Department of Justice succeeded in denaturalizing 63 participants in Nazi acts of persecution; and in removing 52 such individuals from this country. This appears to be but a small portion of those who actually were brought here by our own government. A 1999 report to the Senate and the House said "that between 1945 and 1955, 765 scientists, engineers, and technicians were brought to the United States under Overcast, Paperclip, and similar programs. It has been estimated that at least half, and perhaps as many as 80 percent of all the imported specialists were former Nazi Party members." A number of these scientists were recruited to work for the Air Force's School of Aviation Medicine (SAM) at Brooks Air Force Base in Texas, where dozens of human radiation experiments were conducted during the Cold War. Among them were flash-blindness studies in connection with atomic weapons tests and data gathering for total-body irradiation studies conducted in Houston. The experiments for which Nazi investigators were tried included many related to aviation research. Hubertus Strughold, called "the father of space medicine," had a long career at the SAM, including the recruitment of other Paperclip scientists in Germany. On September 24, 1995 the Jewish Telegraphic Agency reported that as head of Nazi Germany's Air Force Institute for Aviation Medicine, Strughold particpated in a 1942 conference that discussed "experiments" on human beings. The experiments included subjecting Dachau concentration camp inmates to torture and death. The Edgewood Arsenal of the Army's Chemical Corps as well as other military research sites recruited these scientists with backgrounds in aeromedicine, radiobiology, and opthamology. Edgewood Arsenal, Maryland ended up conducting experiments on more than seven thousand American soldiers. Using Auschwitz experiments as a guide, they conducted the same type of poison gas experiments that had been done in the secret I.G. Farben laboratories.

In 1942, Merton set out four scientific values, now known as the ‘Mertonian Norms’. None of them have snappy names, but all of them are good aspirations for scientists. First, universalism: scientific knowledge is scientific knowledge, no matter who comes up with it – so long as their methods for finding that knowledge are sound. The race, sex, age, gender, sexuality, income, social background, nationality, popularity, or any other status of a scientist should have no bearing on how their factual claims are assessed. You also can’t judge someone’s research based on what a pleasant or unpleasant person they are – which should come as a relief for some of my more disagreeable colleagues. Second, and relatedly, disinterestedness: scientists aren’t in it for the money, for political or ideological reasons, or to enhance their own ego or reputation (or the reputation of their university, country, or anything else). They’re in it to advance our understanding of the universe by discovering things and making things – full stop.20 As Charles Darwin once wrote, a scientist ‘ought to have no wishes, no affections, – a mere heart of stone.’ The next two norms remind us of the social nature of science. The third is communality: scientists should share knowledge with each other. This principle underlies the whole idea of publishing your results in a journal for others to see – we’re all in this together; we have to know the details of other scientists’ work so that we can assess and build on it. Lastly, there’s organised scepticism: nothing is sacred, and a scientific claim should never be accepted at face value. We should suspend judgement on any given finding until we’ve properly checked all the data and methodology. The most obvious embodiment of the norm of organised scepticism is peer review itself. 20. Robert K. Merton, ‘The Normative Structure of Science’ (1942), The Sociology of Science: Empirical and Theoretical Investigations (Chicago and London: University of Chicago Press, 1973): pp. 267–278.

The first cut at the problem—the simplest but still eye-opening—is to ask how much income would have to be transferred from rich countries to poor countries to lift all of the world’s extreme poor to an income level sufficient to meet basic needs. Martin Ravallion and his colleagues on the World Bank’s poverty team have gathered data to address this question, at least approximately. The World Bank estimates that meeting basic needs requires $1.08 per day per person, measured in 1993 purchasing-power adjusted prices. Using household surveys, the Ravallion team has calculated the numbers of poor people around the world who live below that threshold, and the average incomes of those poor. According to the Bank’s estimates, 1.1 billion people lived below the $1.08 level as of 2001, with an average income of $0.77 per day, or $281 per year. More important, the poor had a shortfall relative to basic needs of $0.31 per day ($1.08 minus $0.77), or $113 per year. Worldwide, the total income shortfall of the poor in 2001 was therefore $113 per year per person multiplied by 1.1 billion people, or $124 billion. Using the same accounting units (1993 purchasing power adjusted U.S. dollars), the income of the twenty-two donor countries of the Development Assistance Committee (DAC) in 2001 was $20.2 trillion. Thus a transfer of 0.6 percent of donor income, amounting to $124 billion, would in theory raise all 1.1 billion of the world’s extreme poor to the basic-needs level. Notably, this transfer could be accomplished within the 0.7 percent of the GNP target of the donor countries. That transfer would not have been possible in 1980, when the numbers of the extreme poor were larger (1.5 billion) and the incomes of the rich countries considerably smaller. Back in 1981, the total income gap was around $208 billion (again, measured in 1993 purchasing power prices) and the combined donor country GNP was $13.2 trillion. Then it would have required 1.6 percent of donor income in transfers to raise the extreme poor to the basic-needs level.

Correlation and causality. Why is it that throughout the animal kingdom and in every human culture, males account for most aggression and violence? Well, what about testosterone and some related hormones, collectively called androgens, a term that unless otherwise noted, I will use simplistically as synonymous with testosterone. In nearly all species, males have more circulating testosterone than do females, who secrete small amounts of androgens from the adrenal glands. Moreover, male aggression is most prevalent when testosterone levels are highest; adolescence and during mating season in seasonal breeders. Thus, testosterone and aggression are linked. Furthermore, there are particularly high levels of testosterone receptors in the amygdala, in the way station by which it projects to the rest of the brain, the bed nucleus of the stria terminalis, and in its major targets, the hypothalamus, the central gray of the mid-brain, and the frontal cortex. But these are merely correlative data. Showing that testosterone causes aggression requires a subtraction plus a replacement experiment. Subtraction, castrate a male: do levels of aggression decrease? Yes, including in humans. This shows that something coming from the testes causes aggression. Is it testosterone? Replacement: give that castrated individual replacement testosterone. Do pre-castration levels of aggression return? Yes, including in humans, thus testosterone causes aggression. Time to see how wrong that is. The first hint of a complication comes after castration. When average levels of aggression plummet in every species, but crucially, not to zero, well, maybe the castration wasn't perfect, you missed some bits of testes, or maybe enough of the minor adrenal androgens are secreted to maintain the aggression. But no, even when testosterone and androgens are completely eliminated, some aggression remains, thus some male aggression is testosterone independent. This point is driven home by castration of some sexual offenders, a legal procedure in a few states. This is accomplished with chemical castration, administration of drugs that either inhibit testosterone production or block testosterone receptors. Castration decreases sexual urges in the subset of sex offenders with intense, obsessive, and pathological urges. But otherwise, castration doesn't decrease recidivism rates as stated in one meta-analysis. Hostile rapists and those who commit sex crimes motivated by power or anger are not amenable to treatment with the anti-androgenic drugs. This leads to a hugely informative point. The more experience the male had being aggressive prior to castration, the more aggression continues afterward. In otherwise, the less his being aggressive in the future requires testosterone and the more it's a function of social learning.

Obama is also directing the U.S. government to invest billions of dollars in solar and wind energy. In addition, he is using bailout leverage to compel the Detroit auto companies to build small, “green” cars, even though no one in the government has investigated whether consumers are interested in buying small, “green” cars—the Obama administration just believes they should. All these measures, Obama recognizes, are expensive. The cap and trade legislation is estimated to impose an $850 billion burden on the private sector; together with other related measures, the environmental tab will exceed $1 trillion. This would undoubtedly impose a significant financial burden on an already-stressed economy. These measures are billed as necessary to combat global warming. Yet no one really knows if the globe is warming significantly or not, and no one really knows if human beings are the cause of the warming or not. For years people went along with Al Gore’s claim that “the earth has a fever,” a claim illustrated by misleading images of glaciers disappearing, oceans swelling, famines arising, and skies darkening. Apocalypse now! Now we know that the main body of data that provided the basis for these claims appears to have been faked. The Climategate scandal showed that scientists associated with the Intergovernmental Panel on Climate Change were quite willing to manipulate and even suppress data that did not conform to their ideological commitment to global warming.3 The fakers insist that even if you discount the fakery, the data still show.... But who’s in the mood to listen to them now? Independent scientists who have reviewed the facts say that average global temperatures have risen by around 1.3 degrees Fahrenheit in the past 100 years. Lots of things could have caused that. Besides, if you project further back, the record shows quite a bit of variation: periods of warming, followed by periods of cooling. There was a Medieval Warm Period around 1000 A.D., and a Little Ice Age that occurred several hundred years later. In the past century, the earth warmed slightly from 1900 to 1940, then cooled slightly until the late 1970s, and has resumed warming slightly since then. How about in the past decade or so? Well, if you count from 1998, the earth has cooled in the past dozen years. But the statistic is misleading, since 1998 was an especially hot year. If you count from 1999, the earth has warmed in the intervening period. This statistic is equally misleading, because 1999 was a cool year. This doesn’t mean that temperature change is in the eye of the beholder. It means, in the words of Roy Spencer, former senior scientist for climate studies at NASA, that “all this temperature variability on a wide range of time scales reveals that just about the only thing constant in climate is change.”4

Moravec’s Paradox. Hans Moravec was a professor of mine at Carnegie Mellon University, and his work on artificial intelligence and robotics led him to a fundamental truth about combining the two: contrary to popular assumptions, it is relatively easy for AI to mimic the high-level intellectual or computational abilities of an adult, but it’s far harder to give a robot the perception and sensorimotor skills of a toddler. Algorithms can blow humans out of the water when it comes to making predictions based on data, but robots still can’t perform the cleaning duties of a hotel maid. In essence, AI is great at thinking, but robots are bad at moving their fingers.

visual clarity. From either personal experience or familiarity with the Battle at Yavin, everyone in the room recognized the smaller hologram as an unfinished Imperial Death Star. “The data brought to us by the Bothan spies pinpoints the exact location of the Emperor’s new battle station,” Mon Mothma said. “We also know that the weapon systems of this Death Star are not yet operational. With the Imperial fleet spread throughout the galaxy in a vain effort to engage us, it is relatively unprotected. But most important of all, we’ve learned that the Emperor

...since there is so much confusion surrounding it in the industry. You will often hear claims to the effect that relational attributes can only be of very simple types (numbers, strings, and so forth). The truth is, however, that there is absolutely nothing in the relational model to support such claims. ...in fact, types can be as simple or as complex as we like, and so we can have attributes whose values are numbers, or strings, or dates, or times, or audio recordings, or maps, or video recordings, or geometric points (etc.). The foregoing message is so important‒and so widely misunderstood‒that we state it again in different terms: The question of what data types are supported is orthogonal to the question of support for the relational model.

Another universal male mate preference is youth (Buss, 1989). Buss has found that males on average prefer females who are 2.5 years younger than themselves, with ranges between two and seven years, depending on the culture. This finding is supported by recent U.S. Census data that shows that the largest proportion of heterosexual married and cohabitating couples include men who are 2-5 years older than their partners (36.3% and 28.6%, respectively) (Fields and Casper, 2001). Notably, preferred age differences increase as men get older, with men preferring women who are increasingly younger relative to their own age (Kenrick & Keefe, 1992). Other studies have reported that women at the age of peak fertility, roughly 19-25 years of age, are typically rated as most attractive by men. It is probable that men are not responding to youth itself; rather, men may be responding to the fertility benefits that young age implies. Youthful physical features such as facial neotony, clear skin, and strong hair-growth and behavioral traits such as novelty-seeking and playfulness signal fertility through the combined effects of estrogen. Because women have a narrow reproductive window compared to men, over evolutionary history men who impregnated young women would have had the greatest reproductive success. This is especially true of men who selected young long-term mates; these men would have reaped the benefits of his mate’s peak fertility in the short-term and also would have enjoyed a longer period in which to produce more children by the same mate.

After reading Hooked, the founders of the Fitbod App targeted a very specific user habit. Unlike competitors who went after vague behaviors like “build a healthy lifestyle,” Fitbod sought to own the internal trigger related to the uncomfortable feeling of uncertainty of not knowing what to do in the gym. Fitbod’s action phase quickly solves the user’s psychological discomfort by providing very specific instructions with a single tap of the app. In Fitbod’s variable rewards phase, discover which exercise to do, how much weight to lift, and how many repetitions to complete to beat their personal best. Finally, the data users enter when they complete an exercise improves the service and loads the next external trigger, thus perpetuating the habit of using the app.

The third phase of the work plan is to draft the introduction. The draft should consist of an analytical commentary related to the table of contents: “With this work we propose to demonstrate this thesis. The previous research has left many questions unanswered, and the data gathered is still insufficient. In the first chapter, we will attempt to establish this point; in the second chapter we will tackle this other point. In conclusion, we will attempt to demonstrate a, b, and c. We have set these specific limits for the work. Within these limits, we will use the following method.

In The Better Angels of Our Nature, Pinker calculates the average homicide rate among eight primitive societies, arriving at an alarming 14 per cent. This figure appeared in respected journals like Science and was endlessly regurgitated by newspapers and on TV. When other scientists took a look at his source material, however, they discovered that Pinker mixed up some things. This may get a little technical, but we need to understand where he went wrong. The question we want to answer is: which peoples still hunting and gathering today are representative of how humans lived 50,000 years ago? After all, we were nomads for 95 per cent of human history, roving the world in small, relatively egalitarian groups. Pinker chose to focus almost exclusively on hybrid cultures. These are people who hunt and gather, but who also ride horses or live together in settlements or engage in farming on the side. Now these activities are all relatively recent. Humans didn’t start farming until 10,000 years ago and horses weren’t domesticated until 5,000 years ago. If you want to figure out how our distant ancestors lived 50,000 years ago, it doesn’t make sense to extrapolate from people who keep horses and tend vegetable plots. But even if we get on board with Pinker’s methods, the data is problematic. According to the psychologist, 30 per cent of deaths among the Aché in Paraguay (tribe 1 on his list) and 21 per cent of deaths among the Hiwi in Venezuela and Colombia (tribe 3) are attributable to warfare. These people are out for blood, it would seem. The anthropologist Douglas Fry was sceptical, however. Reviewing the original sources, he discovered that all forty-six cases of what Pinker categorised as Aché ‘war mortality’ actually concerned a tribe member listed as ‘shot by Paraguayan’. The Aché were in fact not killing each other, but being ‘relentlessly pursued by slave traders and attacked by Paraguayan frontiersmen’, reads the original source, whereas they themselves ‘desire a peaceful relationship with their more powerful neighbors’. It was the same with the Hiwi. All the men, women and children enumerated by Pinker as war deaths were murdered in 1968 by local cattle ranchers.40 There go the iron-clad homicide rates. Far from habitually slaughtering one another, these nomadic foragers were the victims of ‘civilised’ farmers wielding advanced weaponry. ‘Bar charts and numeric tables depicting percentages […] convey an air of scientific objectivity,’ Fry writes. ‘But in this case it is all an illusion.

Research tends to indicate that American Indians on average fare relatively poorly across a number of outcomes, such as educational achievement and income. American Indians have been, and continue to be, marginalized in a number of ways, such as spatially and economically, that contribute to their disadvantaged position. A challenge when examining American Indian outcomes is that, because of the group’s relatively small population, less data are available about them in nationally representative surveys than for most other groups. Moreover, it is difficult to gauge the change in outcomes over time among American Indians because of changing patterns of self-identification among people with some American Indian ancestry.

Let’s start with the assumption that all members of a household enjoy an equal standard of living. Measuring poverty by household means that we lack individual level data, but in the late 1970s, the UK government inadvertently created a handy natural experiment that allowed researchers to test the assumption using a proxy measure.16 Until 1977, child benefit in Britain was mainly credited to the father in the form of a tax reduction on his salary. After 1977 this tax deduction was replaced by a cash payment to the mother, representing a substantial redistribution of income from men to women. If money were shared equally within households, this transfer of income ‘from wallet to purse’ should have had no impact on how the money was spent. But it did. Using the proxy measure of how much Britain was spending on clothes, the researchers found that following the policy change the country saw ‘a substantial increase in spending on women’s and children’s clothing, relative to men’s clothing’.

What is happening is that we are in a cycle of increased solar activity, and this is the real reason behind global warming trends and climate change in general, which really is happening. The global warming alarmists at the UN have intentionally ignored and clouded the facts surrounding the massive amount of scientific data that clearly shows that warming and cooling of the Earth’s climate is directly related to solar activity.

A toxic coworker can insert significant stress into your work life, and we know that workplace stress is a form of stress that takes a significant toll on your health. Management and organizational researchers Joel Goh, Jeffrey Pfeffer, and Stefanos Zenios examined the impacts of poor management on health and on the basis of their data concluded that over 120,000 deaths per year and between 5-8 percent of health care costs may be related to workplace management.

But the change in tone also reflects a change in the zeitgeist between 2013 and 2016. In 2013, the relatively few people who were paying attention to big data often imagined themselves to be the carpenters; by 2016, many of us had realized that we were nails.

This is because the consequences of having emotion and attention are entirely related to the fundamental business of managing life within the organism. It is not possible to manage life and maintain homeostatic balance without data on the current state of the organism’s body.”9

Driver Behavior & Safety Proper driving behavior is vital for the safety of drivers, passengers, pedestrians and is a means to achieve fewer road accidents, injuries and damage to vehicles. It plays a role in the cost of managing a fleet as it impacts fuel consumption, insurance rates, car maintenance and fines. It is also important for protecting a firm’s brand and reputation as most company- owned vehicles carry the company’s logo. Ituran’s solution for driver behavior and safety improves organizational driving culture and standards by encouraging safer and more responsible driving. The system which tracks and monitors driver behavior using an innovative multidimensional accelerometer sensor, produces (for each driver) an individual score based on their performance – sudden braking and acceleration, sharp turns, high-speed driving over speed bumps, erratic overtaking, speeding and more. The score allows fleet managers to compare driver performance, set safety benchmarks and hold each driver accountable for their action. Real-time monitoring identifies abnormal behavior mode—aggressive or dangerous—and alerts the driver using buzzer or human voice indication, and detects accidents in real time. When incidents or accidents occurs, a notification sent to a predefined recipient alerts management, and data collected both before and after accidents is automatically saved for future analysis. • Monitoring is provided through a dedicated application which is available to both fleet manager and driver (with different permission levels), allowing both to learn and improve • Improves organizational driving culture and standards and increases safety of drivers and passengers • Web-based reporting gives a birds-eye view of real-time driver data, especially in case of an accident • Detailed reports per individual driver include map references to where incidents have occurred • Comparative evaluation ranks driving according to several factors; the system automatically generates scores and a periodic assessment certificate for each driver and/or department Highlights 1. Measures and scores driver performance and allows to give personal motivational incentives 2. Improves driving culture by encouraging safer and more responsible driving throughout the organization 3. Minimizes the occurrence of accidents and protects the fleet from unnecessary wear & tear 4. Reduces expenses related to unsafe and unlawful driving: insurance, traffic tickets and fines See how it works:

Legal opposition and social protest have surfaced in relation to the digitalization of books,24 the collection of personal information through Street View’s Wi-Fi and camera capabilities,25 the capture of voice communications,26 the bypassing of privacy settings,27 the manipulation of search results,28 the extensive retention of search data,29 the tracking of smartphone location data,30 wearable technologies and facial-recognition capabilities,31 the secret collection of student data for commercial purposes,32 and the consolidation of user profiles across all Google’s services and devices,33 just to name several instances. Expect to see drones, body sensors, neurotransmitters, “digital assistants,” and other sensored devices on this list in the years to come.

Trademark Trademark is fundamentally exceptional of a licensed innovation comprising plans, logos, and imprints. Organizations utilize different plans, logos, or words to recognize their items and administrations from others. Those imprints which help in distinctive the item or administrations from others and help the clients in distinguishing their image, quality, and even source of the item is known as Trademark. In contrast to licenses, a brand name is enlisted for a very long time, and from that point, it tends to be recharged for an additional 10 years after an additional installment of reestablishment expenses. Trademark Objection After the enrollment of the brand name, an Examiner/Registrar or outsider can set a trademark objection. As per Section(s) 9 (Absolute Grounds of Refusal) and 11 (Relative Grounds of Refusal) of the Act, these two can be the ground of a complaint:- The application contains wrong data, or Comparable or indistinguishable brand names exist. At whatever point a Trademark enlistment center mentions a criticism, a candidate has an occasion to send a composed answer alongside the strong proof, realities, and reasons why the imprint ought to be assigned to him within 30 days of the protest. On the off chance that the analyst/enlistment center discovers the answer to be adequate and addresses the entirety of his interests in the assessment report and there is no contention, at that point he may give authorization to the candidate to distribute the application in the Trademark diary before enrollment. How to respond to an objection A Trademark assessment report is set up on the Trademark office site alongside the subtleties of the brand name application and a candidate or a specialist has the occasion to send a composed answer which ought to be known as a trademark objection reply. The answer can be submitted as "Answer to the assessment report" either on the web or it tends to be submitted through a post or individual alongside supporting archives or a sworn statement. When the application gets recorded a candidate ought to be given a notification about the protest and ground of the complaint. Different grounds are:- There ought to be a counter assertion of the application, It ought to be recorded within 2 months of the application, On the off chance that the analyst neglects to record a complaint inside the time, at that point the status of the application will be deserted. After recording the counter of a complaint, the enlistment center will call a candidate for the meeting. On the off chance that it rules in the courtesy, at that point, the candidate will get it enrolled, and on the off chance that the answer isn't agreeable, at that point, the application for the enlistment will get dismissed. Trademark Objection Reply Fees Although I have gone through various sites, finding a perfect formal reply is quite difficult. But Professional Utilities provides a perfect reply through experts, also the trademark objection reply fees are really affordable. They provide services for just 1,499/- only.

Ethereum’s blockchain is a list of transactions involving the cryptocurrency Ether, a multitude of other tokens (including those representing CryptoKitties) and other related data, all of which is recorded on Ethereum.

More damningly, several studies of performance-related bonuses or salary increases have found that white men are rewarded at a higher rate than equally performing women and ethnic minorities, with one study of a financial corporation uncovering a 25% difference in performance-based bonuses between women and men in the same job.

The question of the baptism of infants cannot be settled on the basis of exegetical data in Acts but only on theological grounds.20 The promise in Acts 2:39 need not mean that children are to be baptized; the promise may mean no more than that the gospel is a blessing not only for the present generation but to their descendants as well — not only to people in Jerusalem but also to those of distant lands — and is analogous to “your sons and daughters” in 2:17.21 The “children” are limited by the following phrase, “every one whom the Lord our God calls to him.” The references to the baptism of households (11:14; 16:15, 31; 18:8) may refer to the “wife, children, servants and relatives living in the house,”22 but they may equally well designate only those of mature age who confessed their faith in Christ.23 It is not certain that such passages mean that the faith of the head of the household sufficed for his children any more than it did for his relatives and slaves.

Although these techniques require that the fieldworker approach his people with the sympathy of a friend, the intuition of an artist, and the objectivity of a scientist, the data gathered may be as reliable and as directly related to the central problem of inquiry as in the laboratory sciences.

In recent years, Continuous Glucose Monitoring (CGM) devices have emerged as a game-changer in diabetes management, offering patients a real-time view of their glucose levels and revolutionizing the way they monitor their condition. Among the pioneers in providing these life-changing devices, Med Supply US stands out as a reliable source, offering CGMs from various renowned brands like Abbott, Dexcom, and more. This article explores the significance of CGM devices and highlights the contribution of Med Supply US in making them accessible to those in need. Understanding CGM Devices: For individuals living with diabetes, maintaining optimal blood glucose levels is crucial to prevent serious health complications. Traditionally, this involved frequent finger-prick tests, which could be inconvenient and sometimes inaccurate. CGM devices, however, have transformed this process by providing continuous and real-time glucose level readings. These devices consist of a small sensor inserted under the skin that measures glucose levels in the interstitial fluid. The data collected is then transmitted to a receiver or a smartphone app, allowing users to track their glucose levels throughout the day and night. Benefits of CGM Devices: The introduction of CGM devices has brought about a paradigm shift in diabetes management due to their numerous benefits: Real-time Monitoring: CGM devices offer a real-time insight into glucose trends, enabling users to make informed decisions about their diet, exercise, and insulin dosages. This real-time feedback empowers individuals to take timely action to maintain their glucose levels within a healthy range. Reduced Hypoglycemia and Hyperglycemia: By providing alerts for both low and high glucose levels, CGMs help users avoid dangerous hypoglycemic episodes and hyperglycemic spikes. This is particularly beneficial during sleep when such episodes might otherwise go unnoticed. Data-Driven Insights: CGM devices generate a wealth of data, including glucose trends, patterns, and even predictive alerts for potential issues. This information can be shared with healthcare providers to tailor treatment plans for optimal diabetes management. Enhanced Quality of Life: The convenience of CGM devices reduces the need for frequent finger pricks, leading to an improved quality of life for individuals managing diabetes. The constant insights also alleviate anxiety related to unpredictable glucose fluctuations. Med Supply US: Bringing Hope to Diabetes Management: Med Supply US has emerged as a prominent supplier of CGM devices, offering a range of options from reputable brands such as Abbott and Dexcom. The availability of CGMs through Med Supply US has made these cutting-edge devices accessible to a wider demographic, bridging the gap between technology and healthcare. Med Supply US not only provides access to CGM devices but also plays a crucial role in educating individuals about their benefits. Through informative resources, they empower users to make informed choices based on their specific needs and preferences. Furthermore, their commitment to customer support ensures that users can seamlessly integrate CGM devices into their daily routines.

What is Outsourcing? "Outsourcing" is the short form of the English word Outside Resourcing. The term outsourcing was first coined around 1989 and was first seen as a business strategy. Later in the 1990s, this subject was included as an important component of business economics. Since then people started to have various interests in outsourcing. Out means 'Outside' and source means 'Source'. In other words, the whole meaning of Outsourcing is "to bring work from an external source". Here are the key aspects of outsourcing: 1. Opportunities: It can encompass a wide range of functions including customer support, information technology services, human resources functions, manufacturing, accounting, marketing, and more. 2. Benefits: Outsourcing offers several benefits including cost savings, access to specialized skills and technology, increased efficiency, scalability, and ability to focus on core competencies. 3. Global Reach: Outsourcing is not restricted by geographical boundaries. That's why companies can engage service providers from around the world to access global talent pools and cost advantages. 4. Types of Outsourcing: Outsourcing can be divided into several categories. Such as Business Process Outsourcing (BPO), Information Technology Outsourcing (ITO), Knowledge Process Outsourcing (KPO), and many more depending on the nature of the service being outsourced. 5. Challenges: Although outsourcing can offer many benefits. It also presents challenges related to data security, communication, cultural differences, and the need for effective management of outsourcing relationships. 6. Outsourcing model: Companies can choose from several outsourcing models, including offshoring (outsourcing to a service provider in another country), nearshoring (outsourcing to a service provider in a nearby country), and onshoring (outsourcing to a service provider within the same country). Outsourcing means the process of taking the work of an organization or company from an external source. For example – “You Can't find any qualified person within the company to do a job in your company. So you offer some money to an outside freelancer to do the job and he agrees to do the job. Well, that's called outsourcing”. Simply put, outsourcing is basically the payment you pay a freelancer to do the work they are good at.

Per your mission instructions, you can reject the null hypothesis that this bus contains a random sample of 60 Changing Lives study participants at the .05 significance level. This means (1) the mean weight on the bus falls into a range that we would expect to observe only 5 times in 100 if the null hypothesis were true and this were really a bus full of Changing Lives passengers; (2) you can reject the null hypothesis at the .05 significance level; and (3) on average, 95 times out of 100 you will have correctly rejected the null hypothesis, and 5 times out of 100 you will be wrong, meaning that you have concluded that this is not a bus of Changing Lives participants, when in fact it is. This sample of Changing Lives folks just happens to have a mean weight that is particularly high or low relative to the mean for the study participants overall.

I will remind you of what the central limit theorem tells us: (1) the sample means for any population will be distributed roughly as a normal distribution around the true population mean; (2) we would expect the sample mean and the sample standard deviation to be roughly equal to the mean and standard deviation for the population from which it is drawn; and (3) roughly 68 percent of sample means will lie within one standard error of the population mean, roughly 95 percent will lie within two standard errors of the population mean, and so on. In less technical language, this all means that any sample should look a lot like the population from which it is drawn; while every sample will be different, it would be relatively rare for the mean of a properly drawn sample to deviate by a huge amount from the mean for the relevant underlying population. Similarly, we would also expect two samples drawn from the same population to look a lot like each other. Or, to think about the situation somewhat differently, if we have two samples that have extremely dissimilar means, the most likely explanation is that they came from different populations.

Because the chances of finding a coincidental one in a million match are relatively high if you run the sample through a database with samples from a million people.

Biological systems are a chemical inevitability in the right circumstances. There is, of course, something special about life—I won’t take that away from it—but it is a chemical process, a dynamic, kinetic stability that exists, as your scientists have said, “far from thermodynamic equilibrium.” You don’t have to understand this or believe me, but life is fairly common in both time and space. It is not special, nor is it particularly fragile. The best measure I have of the size and complexity of a biosphere is calories of energy captured per square meter per year. Higher is more impressive, and always more beautiful, but this measures nothing of the creation of a system like humanity. For that, my awakened mind categorizes systems by bytes of information transmitted. This will sound to you like it’s a relatively new phenomenon on your planet, but it’s not. Even pelagibacter transmit information, if only to daughter cells. Ants spray pheromones, bees dance, birds sing—all of these are comparatively low-bandwidth systems for communication. But your system caused an inflection point. The graph of data flow switched from linear to exponential growth. Maybe you would call this system “humanity,” but I wouldn’t. It is not just a collection of individuals; it is also a collection of ideas stored inside of individuals and objects and even ideas inside ideas. If that seems like a trivial difference to you, well, I guess I can forgive you since you do not know what the rest of the universe looks like. Collections of individuals are beautiful, but they are as common as pelagibacter. Collections of ideas are veins of gold in our universe. They must be cherished and protected. My parents, whoever and whatever they were, gave me knowledge of many systems—it was locked in my code before I was sent here to self-assemble—and the only thing I can tell you about systems like yours is that they are rare because they are unstable. Dynamite flows through their veins. A single solid jolt and they’re gone. If my data sets are accurate, you are rare, fragile, and precious.

What is Outsourcing? "Outsourcing" is the short form of the English word Outside Resourcing. The term outsourcing was first coined around 1989 and was first seen as a business strategy. Later in the 1990s, this subject was included as an important component of business economics. Since then people started to have various interests in outsourcing. Out means 'Outside' and source means 'Source'. In other words, the whole meaning of Outsourcing is "to bring work from an external source". Here are the key aspects of outsourcing: 1. Opportunities: It can encompass a wide range of functions including customer support, information technology services, human resources functions, manufacturing, accounting, marketing, and more. 2. Benefits: Outsourcing offers several benefits including cost savings, access to specialized skills and technology, increased efficiency, scalability, and ability to focus on core competencies. 3. Global Reach: Outsourcing is not restricted by geographical boundaries. That's why companies can engage service providers from around the world to access global talent pools and cost advantages. 4. Types of Outsourcing: Outsourcing can be divided into several categories. Such as Business Process Outsourcing (BPO), Information Technology Outsourcing (ITO), Knowledge Process Outsourcing (KPO), and many more depending on the nature of the service being outsourced. 5. Challenges: Although outsourcing can offer many benefits. It also presents challenges related to data security, communication, cultural differences, and the need for effective management of outsourcing relationships. 6. Outsourcing model: Companies can choose from several outsourcing models, including offshoring (outsourcing to a service provider in another country), nearshoring (outsourcing to a service provider in a nearby country), and onshoring (outsourcing to a service provider within the same country). Outsourcing means the process of taking the work of an organization or company from an external source. For example – “You Can't find any qualified person within the company to do a job in your company. So you offer some money to an outside freelancer to do the job and he agrees to do the job. Well, that's called outsourcing”. Simply put, Outsourcing is basically the payment you pay a freelancer to do the work they are good at. Please Visit Our Blogging Website to read more Articles related to Freelancing and Outsourcing, Thank You.

What kinds of Work will You do in Freelancing? What kind of work will you do in Freelancing? And to understand the type of work in freelancing, You need to have a clear idea of what freelancing is. There is no specific type of freelancing, it can be of many types, such as - Freelance Photography, Freelance Journalism, Freelance Writer, Freelance Data Entry, Freelance Logo Designer, Freelance Graphics Designer etc. There's no end to the amount of work you can do with freelancing. The most interesting thing is that you are everything in this process. There is no one to twirl over your head, you are the boss here. Even here there is no obligation to work from 9-5. Today I discuss some freelancing tasks that are popular in the freelancing sector or are done by many freelancers. For example: Data Entry: It wouldn't be too much of a mistake to say that data entry is the easiest job. Rather, it can be said without a doubt that data entry is more difficult than any other job. Data entry work basically means typing. This work is usually provided as a PDF file and is described as a 'Word type work'. Any employee can take a data entry job as a part-time job for extra income at the end of his work. Graphics Design: One of the most popular jobs in the freelancing world is graphic design. The main reasons for the popularity of this work are its attractiveness and simplicity. Everything we see online is contributed by graphics. For example, Cover pages, Newspaper, Book cover pages, advertisements and Photographs, Editing or changing the background of a picture or photo, Creating banners for advertising, Creating visiting cards, Business cards or leaflets, Designed for webpages known as (PhD), T-shirt designing, Logo designing, Making cartoons and many more. Web Design and Development: 'Web design' or 'Site design' are used interchangeably. The most important job of freelancing is web design. From the simplest to the most difficult aspects of this work, almost all types of work are done by freelancers. There are many other themes like WordPress, Elementor, Joomla, and DV that can be used to create entire sites. Sometimes coding is required to create some sites. If the web designer has coding experience or skills then there is no problem, and if not then the site creation should be done by programmers. Programming: Programming means writing some signals, codes, or symbols into a specific system. And its job is to give different types of commands or orders to the computer. If you give some command to the computer in Bengali or English, the computer will not understand it. For that want binary code or number. Just as any book is written in English, Hindi, Japanese Bengali, etc. every program is written in some particular programming language like C++, Java, etc. The written form of the program is called source code. A person who writes source code is called a programmer, coder, or developer. While writing the program, the programmer has to follow the syntax or grammar of that particular programming language. Other work: Apart from the above jobs, there are various other types of jobs that are in high demand in the freelancing sector or market. The tasks are: Writing, Article or blog post writing SEO Marketing, Digital marketing, Photo, Audio, Video Editing, Admin jobs, Software development, Translation, Affiliate marketing, IT and Networking etc. Please Visit Our Blogging Website to read more Articles related to Freelancing and Outsourcing, Thank You.

How long does it take to Learn Freelancing? How long it takes to learn freelancing depends on what you're learning, how you start freelancing, and how hard you try to learn it. Learning something requires more willpower and concentration than any effort. The sooner you continue to learn to work with focus, the sooner you will succeed. And the slower you go, the longer it will take you to learn the task. So if you want to build a career online as a professional freelancer then you must spend extra time on it. Freelancing for Beginners: If you are new to the freelancing sector, there are a few things you need to know. For example: What is data entry? What is outsourcing? Web design key etc. Having a basic understanding of these things will make it much easier for you to learn freelancing. Although freelancing has complex tasks as well as some simple ones. But it is very few and low incomes. There are many new freelancers who want to earn freelancing with mobile. Their statement is, "I don't need so much money, only 4-5 thousand taka will do". In their case, I would say that you learn data entry work. You can earn that amount of money in this work. But if you choose freelancing just to do this job then I would say you are doing it wrong. Because this data entry work is very long, you need to work for 7-8 hours. And if you dream of only 4-5 thousand rupees by working 7-8 hours, then my suggestion for you is that you should not do this work but get tutoring. At least it will be best for you. Freelancing requires you to have big dreams and the passion to make them come true. Misconceptions about Freelancing: There is no substitute for a good quality computer or a good quality laptop to learn and master freelancing professionally. This way you can practice and learn very quickly without any hassle. Many people think that by looking at the monitor and pressing the keyboard, they become freelancing and can earn lakhs of rupees a month. In fact, those who think so cannot be entirely blamed. Many of us get lured by such mouthwatering advertisements as "opportunity to earn lakhs per month with just one month course" and waste both our precious time and money by joining bad unprofessional coaching centers. Why is it not possible to learn freelancing in just one month even in one year? It is clear proof that glittering does not make gold. There are thousands of jobs in freelancing, each job is different, and each job takes a different amount of time to learn. So it is very difficult to comment on how long it takes to learn freelancing. Be aware in choosing the right Freelancing Training Center: But whatever you do, don't go for an online course of Rs 400-600-1200. Because it will also lose the willpower you have to learn to freelance. If you have to do this type of bad course today, then do a government freelancing course or you can take practical training from an organization called "Bhairab ​​IT Zone" for a nominal fee. Here hands-on training is provided by professional freelancers using tools in free, premium, and upgraded versions. Although there are many ways or mediums to learn freelancing or outsourcing. E.g. Outsourcing Learning Books, Youtube Video Tutorials, Seminars etc. Either way, some learn to swim in a day and some in a week. To become a good swimmer one must continue swimming for a long time. Not everyone has the same brain capacity or stamina. Humans are naturally different from one another. The same goes for freelancing. You might learn the ins and outs of freelancing within 6-7 months, it might take another 1-2 years. No matter how long it takes to learn, you need to work twice as long to become proficient at it. But with hard work, willpower, and determination you can make any impossible possible. Please visit Our Blogging Website to Read More Articles related to Freelancing and Outsourcing.

In marketing terms, a spiderweb is a real-time snapshot or map of all the searches a target market conducts; the questions it asks; and how it’s all related in terms of connectivity, frequency, and how far away each connectivity point is from the main topic.

For many geologists, the most important consequence of the recognition of plate tectonics was that it brought confirmation of continental drift. As important, plate tectonics allowed continental drift to be determined with considerable precision. This became immediately clear to Clark Burchfiel, now at Massachusetts Institute of Technology (MIT), who in 1968 had carried out fieldwork in Yugoslavia, and returned home to discover Le Pichon’s paper. By knowing the relative motions between Africa and North America and between Europe and North America, Le Pichon had predicted the motion between Africa and Europe for the previous 80 million years, a history that included not only the present-day convergence between Africa and Europe, but also periods when these two regions moved in different directions relative to one another, including a period when they diverged from one another. This history of relative plate motion wrote a complex history on the rock record of the region affected by the relative movement of Africa and Europe. Nevertheless, Burchfiel had inferred from the geologic history of this rock the times of major changes and had inferred what tectonic processes (convergence, divergence, and directions of relative movement) might be occurring at these times. Le Pichon’s calculated plate motions, from data solely in the Atlantic Ocean, predicted many of Burchfiel’s observations and inferences. A new idea becomes believable when it predicts something that has not yet been measured or explained, especially when the idea is really trying to explain other facts.

The beauty of randomization is that it will generally distribute the non-treatment-related variables more or less evenly between the two groups—both the characteristics that are obvious, such as sex, race, age, and education and the nonobservable characteristics that might otherwise mess up the results.

Nonequivalent control. Sometimes the best available option for studying a treatment effect is to create nonrandomized treatment and control groups. Our hope/expectation is that the two groups are broadly similar even though circumstances have not allowed us the statistical luxury of randomizing. The good news is that we have a treatment and a control group. The bad news is that any nonrandom assignment creates at least the potential for bias. There may be unobserved differences between the treatment and control groups related to how participants are assigned to one group or the other. Hence the name “nonequivalent control.

What is Outsourcing? "Outsourcing" is the short form of the English word Outside Resourcing. The term outsourcing was first coined around 1989 and was first seen as a business strategy. Later in the 1990s, this subject was included as an important component of business economics. Since then people started to have various interests in outsourcing. Out means 'Outside' and source means 'Source'. In other words, the whole meaning of Outsourcing is "to bring work from an external source". Here are the key aspects of outsourcing: 1. Opportunities: It can encompass a wide range of functions including customer support, information technology services, human resources functions, manufacturing, accounting, marketing, and more. 2. Benefits: Outsourcing offers several benefits including cost savings, access to specialized skills and technology, increased efficiency, scalability, and ability to focus on core competencies. 3. Global Reach: Outsourcing is not restricted by geographical boundaries. That's why companies can engage service providers from around the world to access global talent pools and cost advantages. 4. Types of Outsourcing: Outsourcing can be divided into several categories. Such as Business Process Outsourcing (BPO), Information Technology Outsourcing (ITO), Knowledge Process Outsourcing (KPO), and many more depending on the nature of the service being outsourced. 5. Challenges: Although outsourcing can offer many benefits. It also presents challenges related to data security, communication, cultural differences, and the need for effective management of outsourcing relationships. 6. Outsourcing model: Companies can choose from several outsourcing models, including offshoring (outsourcing to a service provider in another country), nearshoring (outsourcing to a service provider in a nearby country), and onshoring (outsourcing to a service provider within the same country). Outsourcing means the process of taking the work of an organization or company from an external source. For example – “You Can't find any qualified person within the company to do a job in your company. So you offer some money to an outside freelancer to do the job and he agrees to do the job. Well, that's called outsourcing”. Simply put, Outsourcing is basically the payment you pay a freelancer to do the work they are good at. Please Visit Our Blogging Website named (Bhairab IT Zone) to read more Articles related to Freelancing and Outsourcing, Thank You.

A 2016 study, comparing white nationalist versus ISIS-related social media networks, revealed that during the data collection period on Twitter, three white nationalist accounts and four Nazi accounts were suspended, compared with around 1,100 ISIS accounts.12 This despite the fact that the same study revealed American white nationalist movements “outperform ISIS in nearly every social metric, from follower counts to tweets per day.

Nearly ubiquitous data connectivity, at relatively high speeds, is around the corner. Wi-Fi is available almost everywhere in the materially comfortable world, and it will become significantly faster. When a hurricane devastated Puerto Rico in late 2017, Google was able to provide direct connectivity to smartphones through its project Loon, which used high-altitude balloons to replace the damaged cell towers. Technologies such as this could provide both Wi-Fi coverage and overlays to cell networks through globe-girdling constellations of balloons plying the jet stream. These technologies promise to bridge the connectivity gap for the billions of people, many of them in Africa and Latin America and Asia, who still don’t have broadband.

BUSTER You may have heard the myth that higher-protein diets lead to kidney dysfunction. The data tell us otherwise. A meta-analysis conducted by prominent protein researcher Stu Philips looked at higher-protein (HP) diets (≥ 1.5 g/kg body weight or ≥ 20% energy intake or ≥ 100 g/day) and their effects on kidney function. The indicator known as glomerular filtration rate (GFR) reflects any change in the efficiency of kidney function. When compared with normal- or lower-protein (≥ 5% less energy intake from protein/day) diets, HP diet interventions did not significantly elevate GFR relative to diets containing lower amounts of protein. Researchers concluded that HP intake does not negatively influence renal function in healthy adults.2 A systematic review of randomized controlled trials and epidemiologic studies conducted by Van Elswyk et al. found that HP intake (≥ 20% but < 35% of energy or ≥ 10% higher than a comparison intake) had little to no effect on blood markers of kidney function (e.g., blood pressure) when compared with groups following US RDA recommendations (0.8 g/kg or 10–15% of energy).

Thursday morning, Xu attends a biweekly “Police Cloud” meeting. The goal of this much-ballyhooed big data system is to take information the government routinely collects on its citizens—birthplace, address, occupation, family relations, religious affiliation—and integrate it with hotel and travel records, CCTV footage, biometrics, consumer information, medical history, and even one’s shopping habits, to predict and stop crime before it happens.

with everything you need to know about the ins and outs of data mining. This book has been laid out in straightforward and clear chapters with each chapter focusing on a particular part of data science for business to be able to ensure that you gain the maximum amount to knowledge without having to weed through unnecessary information. I hope this book answers any question you have and leaves you feeling confident on the subject of data science, data analytics and business intelligence. Chapter 1 Wholeness of Data Analytics There is a lot of data that comes rushing towards an organization of any type and sometimes it can be hard to decipher just what it means to the team and how they can use it to benefit them. This is where data analytics is the more helpful. The data is analyzed through a process of inspecting, cleaning, transforming and modeling that makes the information easier to look at and read. By narrowing down the amount of information, an organization is looking at they are going to be better able to utilize the relevant information and use the conclusions the data suggests to make decisions that are most likely to bring rewards. Although data analytics are most frequently used in business to consumer applications, there are many different facets of the data analysis. Some of the most common places data analytics are utilized in the worlds of business, science, and social science, in a variety of ways. Regardless of the type of organization, you are involved with, and even in your personal life, there are ways to make data analysis work for you. An example of where data analytics would be used in regards to a social networking site. A social networking website collects the information which relates to user preferences as well as the community interested and can segment according to the criteria that have been specified

The shortcomings of the system are best understood as the result of taking this ocean of data, and the decision points produced by our algorithms, as a near enough substitute for perfect certainty. My own best results are often due to pretending I know relatively little, and acting accordingly, though it’s easier said than done. Far easier.

In existing writings about federally recognized tribes and their engagement with tribal acknowledgment politics, a palpable theme is clear: presently recognized nations are not acting the ‘Indian way’ when they refuse to acknowledge their less fortunate Indian relatives and share with them. To many writers, federally recognized tribal leaders are so ensconced in the hegemonic colonial order that they are no even aware that they are replicated and reinforcing it inequities. According to this line, because the Five Tribes and related groups like the Mississippi Band of Choctaws and the Eastern Band of Cherokees have embraced nonindigenous notions of ‘being Indian’ and tribal citizenship using federal censuses such as the Dawes Rolls and blood quantum they are not being authentic. Some critics charge that modern tribes like the Choctaw Nation have rejected aboriginal notions and conceptions of Indian social organization and nationhood. This thinking, however, seems to me to once again reinforce stereotypes about Indians as largely unchanging, primordial societies. The fact that the Creek and Cherokee Nations have evolved and adopted European notions of citizenship and nationhood is somehow held against them in tribal acknowledgment debates. We hear echoes of the ‘Noble Savage’ idea once again. In other context when tribes have demanded a assay in controlling their cultural property and identities – by protesting Indian sports mascots or the marketing of cars and clothing with their tribal names, or by arguing that studios should hire real Indians as actors – these actions are applauded. However, when these occur in tribal recognition contexts, the tribes are viewed as greedy or racists. The unspoken theme is that tribes are not actin gin the ‘traditional’ Indian way…With their cultures seen as frozen in time, the more tribes deviate from popular representation, the more they are seen as inauthentic. To the degree that they are seen as assimilated (or colonized and enveloped in the hegemonic order), they are also seen as inauthentic, corrupted, and polluted. The supreme irony is that when recognized tribes demand empirical data to prove tribal authenticity, critics charge that they are not being authentically ingenious by doing so.

Crime was increasing. Statewide, homicides were at the highest level in nearly 20 years. Rapes were at the highest level ever, according to data going back to 1990. And there were 2,872 drug-related arrests in the state, up 64 percent since 2002. In 2012, the NorthWest Narcotics Task Force, which covered the oil patch area, confiscated more than $85,000 in methamphetamine. And alcohol was a factor in more than half of the deadly traffic accidents in the state that year. Headlines on the front page of the Williston Herald in 2012 included “Man Robbed at Gunpoint,” “4 Arrested on Kidnapping Charges,” “Man Shot in Williston,” “Two Arrested on Burglary, Drug Charges,” “Man Jailed for Indecent Exposure.

One study, for example, published in 2000 by the National Institute on Drug Abuse reported that white students use cocaine at seven times the rate of black students, use crack cocaine at eight times the rate of black students, and use heroin at seven times the rate of black students.12 That same survey revealed that nearly identical percentages of white and black high school seniors use marijuana. The National Household Survey on Drug Abuse reported in 2000 that white youth aged 12–17 are more than a third more likely to have sold illegal drugs than African American youth.13 Thus the very same year Human Rights Watch was reporting that African Americans were being arrested and imprisoned at unprecedented rates, government data revealed that blacks were no more likely to be guilty of drug crimes than whites and that white youth were actually the most likely of any racial or ethnic group to be guilty of illegal drug possession and sales. Any notion that drug use among blacks is more severe or dangerous is belied by the data; white youth have about three times the number of drug-related emergency room visits as their African American counterparts.14

SQL database is self-describing because it tells us everything we need to know regarding the relations between the data items inside and what they’re made of. We can find the metadata in a data dictionary. The data dictionary is used to describe all elements that make up the database.

The conclusion is inescapable: Crick in Cambridge and Brenner in Johannesburg were thinking well ahead of the biochemical pack. But then, about fifteen minutes later in that same discussion, Walter Sampson Vincent, an instructor in anatomy from the State University of New York at Syracuse, got up to report some experiments with the RNA of unfertilized egg cells of starfish. “Both Dr. Borsook and Dr. Zamecnik have suggested that there should be two RNA fractions in the cell, with differing characteristics,” Vincent said. He had found the same thing himself, and proceeded to tell how, at length. His biological specimens—starfish eggs—were unfamiliar; his methods were the well-known ones of Torbjörn Caspersson and Jean Brachet (he had spent a year with Brachet as a postdoc); and worse than that, late in such a meeting, when scientist after scientist has risen to talk about his experiments, however tenuously related to the chief topic, the audience gets numb and drifts away. Vincent’s data suggested, he said in conclusion, that the nucleus contained two classes of RNA, “one a soluble, metabolically very active, fraction, representing only a small portion of the total.” His last words were about that fraction: “One exciting implication of the active, or labile, form would be that it is involved in the transfer of nuclear ‘information’ to the synthetic centers of the cytoplasm.” This astonishing suggestion went unnoticed.

as well, the chaotic jangle of microscopic particles was christened Brownian motion in his honor. Much effort throughout the nineteenth century went into explaining it, and by the 1860s at least three natural philosophers independently suggested that Brownian motion was caused by the collision of the suspended particles with invisible molecules.* This would turn out to be the correct explanation, but at the time it was speculation, which met fierce objections. A legitimate calculation of Brownian motion, not dissimilar in spirit to the one Einstein would perform in 1905, was attempted in 1900 by one Felix Exner. Unfortunately for Exner, he got the wrong answer. As the story goes, Einstein wrote his paper “blissfully unaware of the detailed history of Brownian motion,” a claim that he himself also made to Conrad Habicht. According to this version, he not only predicted the phenomenon but explained it as well. Maybe. To be sure, Einstein omits any mention of Brownian motion in the title of his paper, remarking only in the first paragraph, “It is possible that the motions to be discussed here are identical with the so-called Brownian molecular motion; however, the data available to me on the latter are so imprecise that I could not form a judgement on the question.” On the other hand: From Maurice Solovine we do know that a few years earlier the Olympians had pounced on and devoured the great

YouTube also contains a treasure trove of lectures by nearly all of finance’s leading lights, strewn throughout its vast wasteland of misinformation. Tread carefully. A few wrong clicks and you’ll wind up with a QAnon conspiracist or a crypto bro. Of the names I’ve mentioned in this book, I’d search for John Bogle, Eugene Fama, Kenneth French, Jonathan Clements, Zvi Bodie, William Sharpe, Burton Malkiel, Charles Ellis, and Jason Zweig. Worthwhile finance podcasts abound. Start with the Economist’s weekly “Money Talks” and NPR’s Planet Money, although most of the latter’s superb coverage revolves around economics and relatively little around investing. Rick Ferri’s Boglehead podcast interviews cover mainly passive investing. Another financial podcast I highly recommend is Barry Ritholtz’s Masters in Business from Bloomberg. Podcasts are a rapidly evolving area. Lest you wear your ears out, you’ll need discretion to curate the burgeoning amount of high-quality audio. Research mutual funds. All the fund companies discussed in this book have sophisticated websites from which basic fund facts, such as fees and expenses, can be obtained, as well as annual and semiannual reports that list and tabulate holdings. If you’re researching a large number of funds, this gets cumbersome. The best way is to visit Morningstar.com. Use the site’s search function to locate the main page for the fund you’re interested in and click the “Expense” and “Portfolio” tabs to find the fund expense ratio and detailed data on the fund holdings. Click the “Performance” tab to see the fund’s return over periods ranging from a single day up to 15 years, and the “Chart” tab to compare the returns of multiple funds over a given interval. ***

NSA whistle-blower Edward Snowden said that he was shocked by the extent of intelligence sharing between the US and Israel, raw private communications that included content and metadata. Such details would usually be “minimized,” meaning that personally identifiable data was removed, but the NSA was sharing huge amounts of emails and phone calls of Arab and Palestinian Americans whose relatives in Palestine may become targets due to the information gleaned. “I think that’s amazing,” Snowden said. “It’s one of the biggest abuses we’ve seen.”42 The Snowden documents show how the Israelis received quantities of intelligence and data sharing from the US, Canada, and the UK, much of which they use to fight what they call “Palestinian terrorism.” But the UK and the US also view the Jewish state as a threat to regional stability due to its belligerent policies toward Iran and activities across the Middle East. The National Intelligence Estimate has alleged that Israel is “the third most aggressive intelligence service against the US.

Is it enough to live in a universe whose laws spontaneously create life? Or do you prefer ... God?” She paused, looking embarrassed. “Sorry, after all we’ve been through tonight, I know that’s a strange question.” “Well,” Langdon said with a laugh, “I think my answer would benefit from a decent night’s sleep. But no, it’s not strange. People ask me all the time if I believe in God.” “And how do you reply?” “I reply with the truth,” he said. “I tell them that, for me, the question of God lies in understanding the difference between codes and patterns.” Ambra glanced over. “I’m not sure I follow you.” “Codes and patterns are very different from each other,” Langdon said. “And a lot of people confuse the two. In my field, it’s crucial to understand their fundamental difference.” “That being?” Langdon stopped walking and turned to her. “A pattern is any distinctly organized sequence. Patterns occur everywhere in nature—the spiraling seeds of a sunflower, the hexagonal cells of a honeycomb, the circular ripples on a pond when a fish jumps, et cetera.” “Okay. And codes?” “Codes are special,” Langdon said, his tone rising. “Codes, by definition, must carry information. They must do more than simply form a pattern—codes must transmit data and convey meaning. Examples of codes include written language, musical notation, mathematical equations, computer language, and even simple symbols like the crucifix. All of these examples can transmit meaning or information in a way that spiraling sunflowers cannot.” Ambra grasped the concept, but not how it related to God. “The other difference between codes and patterns,” Langdon continued, “is that codes do not occur naturally in the world. Musical notation does not sprout from trees, and symbols do not draw themselves in the sand. Codes are the deliberate inventions of intelligent consciousnesses.” Ambra nodded. “So codes always have an intention or awareness behind them.” “Exactly. Codes don’t appear organically; they must be created.” Ambra studied him a long moment. “What about DNA?” A professorial smile appeared on Langdon’s lips. “Bingo,” he said. “The genetic code. That’s the paradox.” Ambra felt a rush of excitement. The genetic code obviously carried data — specific instructions on how to build organisms. By Langdon’s logic, that could mean only one thing. “You think DNA was created by an intelligence!” Langdon held up a hand in mock self-defense. “Easy, tiger!” he said, laughing. “You’re treading on dangerous ground. Let me just say this. Ever since I was a child, I’ve had the gut sense that there’s a consciousness behind the universe. When I witness the precision of mathematics, the reliability of physics, and the symmetries of the cosmos, I don’t feel like I’m observing cold science; I feel as if I’m seeing a living footprint ... the shadow of some greater force that is just beyond our grasp.

People have lost sight of the original intention of COBOL’s designers. To quote one of them, Jean Sammet: The users for whom COBOL was designed were actually two subclasses of those people concerned with business data processing problems. One is the relatively inexperienced programmer for whom the naturalness of COBOL would be an asset, while the other type of user would be essentially anybody who had not written the program initially. In other words, the readability of COBOL programs would provide documentation to all who might wish to examine the programs, including the supervisory or management personnel. Little attempt was made to cater to professional programmers…

Our mission is to provide you with accurate data, tools and resources for you to make smart decisions about improving your golf game. With accurate data we look to provide complete answers to every golf related question. We make It easy digestible so that every reader leaves our site golf smarter. Golf equipment is a procrastinators dream market place. An array product giving you the same result. At Golf Gifted we simplify the jargon and create detailed golf product reviews that will make your buying decision stress free.

In this group of issues related to fair play, we consider whether we are putting data subjects in a position that undermines their autonomy or authority about how their personal information is used.

Analog data are superior for this job because they can be changed back and forth with relative ease whenever the environment within or outside the cell demands it, and they can store an almost unlimited number of possible values, even in response to conditions that have never been encountered before.25 The unlimited number of possible values is why many audiophiles still prefer the rich sounds of analog storage systems. But even though analog devices have their advantages, they have a major disadvantage. In fact, it’s the reason we’ve moved from analog to digital. Unlike digital, analog information degrades over time—falling victim to the conspiring forces of magnetic fields, gravity, cosmic rays, and oxygen. Worse still, information is lost as it’s copied. No one was more acutely disturbed by the problem of information loss than Claude Shannon, an electrical engineer from the Massachusetts Institute of Technology (MIT) in Boston.

The real connection between drugs and violent crime lies in the profits to be made in the drug trade. The stereotype is that crack typically causes crime by turning people into violent predators. But evidence from research shattered this misconception. A key study examined all the homicides in New York City in 1988, a year when 76 percent of arrestees tested positive for cocaine. Nearly two thousand killings were studied.4 Nearly half of these homicides were not related to drugs at all. Of the rest, only 2 percent involved addicts killing people while seeking to buy crack cocaine and just 1 percent of murders involved people who had recently used the drug. Keep in mind that this study was conducted in a year when the media was filled with stories warning about “crack-crazed” addicts. Thirty-nine percent of New York City’s murders that year did involve the drug trade, however, and most of these were related to crack selling. But these killings were primarily disputes over sales territories or robberies of dealers by other dealers. In other words, they were as “crack-related” as the shoot-outs between gangsters during Prohibition were “alcohol-related.” The idea that crack cocaine turns previously nonviolent users into maniacal murderers is simply not supported by the data. When it comes to drugs, most people have beliefs that have no foundation in evidence.

Mechanical equations can be used to solve practical problems through the introduction of empirically acquired constants and data; but equations of mathematical catallactics cannot in the same way be of service to practical problems in the area of human action where constant relations do not exist.”22

I grew up in a church where we studied one passage or topic in the Sunday sermon, another in Sunday school, still another on Sunday night, and something entirely different on Wednesday night. Frankly, I never had much of a clue as to what we were studying—something related to the Bible, I suppose. The teaching was far too disjointed to create any sense of focus, and for most of us it was more of a data overload than anything else.

So, how did Pfizer transform its unimpressive record of eliminating a single COVID fatality among 22,000 vaccinated subjects into a $5 billion/year success story? By gulling the public with a deceptive measure called “relative risk,” instead of the presumptive and far more useful measure of “absolute risk.” The table shows that during the six-month trial, two people in the placebo group numbering approximately 22,000 and only one in the similarly sized vaccine group died from COVID. Believe it or not, this data point is the source of Pfizer’s claim that the vaccine is 100 percent efficacious against death. Since only one person died from COVID in the vaccine group and two died in the placebo group, Pfizer can technically represent that the vaccine is a 100 percent improvement over the placebo. After all, the number “2” is 100 percent greater than the number “1,” right?

Your personal brand and trust relationships are what we're building here. Don't worry about creating DataStax branding; we have people for that. You need to be the brand with your voice. - Patrick McFadin

Odoo Microsoft Office 365 Integration Odoo is an Enterprise Resource Planning(ERP) system which includes CRM, Inventory, Warehouse etc. Microsoft is well known software company who develeops computer Operating System and other related services. One of its best product is Microsoft Office365. Odoo integration with Microsoft Office365 makes it easy to sync the data in Apps i.e Contacts, Outlook, Calendar, OneDrive, Tasks both ways.

Unlocking the Benefits of Continuous Glucose Monitors: A Comprehensive Guide Continuous Glucose Monitors (CGMs) have revolutionized diabetes management, offering real-time insights into blood sugar levels like never before. As the prevalence of diabetes continues to rise globally, understanding the significance of CGMs becomes paramount. Let's delve into the world of CGMs, exploring their benefits, functionality, and impact on diabetes care. What are Continuous Glucose Monitors? Continuous Glucose Monitors are wearable devices that continuously track glucose levels throughout the day and night. Unlike traditional glucose meters, CGMs provide real-time data, offering a comprehensive view of glucose fluctuations and trends. Benefits of Continuous Glucose Monitors Continuous Monitoring CGMs provide a continuous stream of glucose data, empowering individuals to make informed decisions about their diet, exercise, and medication. Early Detection CGMs can detect both hypo- and hyperglycemic episodes before they become severe, enabling prompt intervention. Improved Diabetes Management By providing insights into how different factors affect blood sugar levels, CGMs facilitate personalized diabetes management strategies. Enhanced Quality of Life CGMs reduce the need for frequent fingerstick testing, minimizing discomfort and improving overall quality of life for individuals with diabetes. Remote Monitoring CGMs can be integrated with smartphone apps, allowing caregivers and healthcare providers to remotely monitor glucose levels and provide timely assistance. How do Continuous Glucose Monitors Work? CGMs consist of three main components: a sensor, transmitter, and receiver/display device. Measurement of glucose levels in the interstitial fluid is performed by the sensor, which is commonly inserted beneath the skin. The transmitter sends this data to the receiver/display device, where users can view real-time glucose readings and trends. Conclusion Continuous Glucose Monitors represent a significant advancement in diabetes management, offering unparalleled insights and convenience. With their ability to provide continuous glucose monitoring, early detection of fluctuations, and personalized insights, CGMs are transforming the lives of individuals with diabetes worldwide. Embracing this technology can lead to better diabetes management, improved quality of life, and reduced risk of diabetes-related complications.

The main mistake when dealing with an overwhelming amount of data and stuff is to reduce it, rather than relating to it on a more abstract level. It's always easier to cut away than it is to create, but it's not always the best solution.

It was a strike against the edifice of policy and politics coming to rest upon Keynesian concepts of savings and consumption. Years later, Friedman spelled out the ultimate implications. Dorothy and Rose’s paper fed into a much larger body of research, the permanent income hypothesis, that “removes completely one of the pillars of the ‘secular stagnation’ thesis.” It also had implications for the Keynesian proposition that there was “no automatic force in a monetary economy to assure the existence of a full-employment equilibrium.”9 On the surface, Dorothy and Rose had published a basic research report. Considered in the bigger picture, their conclusions spoke to the politically charged question of consumption. Was the paper deliberately framed as an attack upon Keynes?10 Both women were dedicated empiricists, and the problem in the data was compelling. At the same time, the solution they came up with dovetailed nicely with each woman’s intellectual inclinations. The paper’s emphasis on relative income reflected the traditional approach of consumption research that Dorothy knew well. Dorothy’s long tenure in reformist D.C. agencies suggests that like most consumption economists, she was probably sympathetic to New Deal social spending. By contrast, although Rose has left little trace of her thinking in this period, she was among the most loyal of Frank Knight’s students. His teachings would have primed her to be skeptical of both the New Deal and the Keynesian concepts that were newly popular among economists.

Basically put, the "multiple souls" or the "two souls" model posits that each person is a triad of communicating, relating powers- a body alongside two souls- a breath soul, and a free soul (also called a wandering soul.) These terms have become standard anthropological terms used in studies of primal anthropologies. Several of the above authors mentioned utilize these terms in their own studies. I will commence now in describing the two-souls perspective. It will be important to quote Merkur here, before I begin. "In all, Soul dualism is an ideological system, designed not to describe but to explain psychological phenomenon. It is a system of psychology that is based on phenomenological data of psychic experience and systematized through philosophical speculation.

He raises this inexact principle of relativity to an axiom. In Einstein’s terminology it is also a concept, because it reorganizes hitherto misunderstood data. And so, in one stroke of the pen, Einstein declares all ether-drift experiments foregone failures.

Among the high-ranking spooks drawn to South Florida, who perhaps dined with the foulmouthed founder at Asher’s favorite spot, the Boca Raton Club, or shared a bottle of his favorite Opus One wine at his mansion, was John Brennan. A future director of the CIA, Brennan was at the time director of something else: the newly formed Terrorist Threat Integration Center, a post-9/11, cross-agency clearinghouse then nominally under the umbrella of the CIA. Later known as the National Counterterrorism Center, it was created to take in streams of classified and sensitive data from more than a dozen federal bodies—including the CIA, NSA, FBI, Department of State, and Department of Defense—and continually fuse and make sense of it all. Brennan, who oversaw the center’s rushed genesis, has described it as a “start-up” and “an unprecedented multiagency entity that would need to access, leverage, correlate, and ultimately integrate different sources of terrorism-related intelligence.” It would have needed a computer system capable of doing that.

Exploring the Benefits of Continuous Glucose Monitors (CGMs) In the world of diabetes management, Continuous Glucose Monitors (CGMs) have emerged as a game-changing technology. These small devices are designed to provide real-time data on blood glucose levels, offering numerous advantages for individuals living with diabetes. In this article, we'll delve into the benefits of CGMs and why they are becoming an indispensable tool for managing diabetes. Real-Time Monitoring: Continuous Glucose Monitors provide a continuous stream of data, allowing users to monitor their glucose levels 24/7. This real-time feedback helps individuals make informed decisions about their diet, exercise, and insulin administration. Improved Glycemic Control: With constant glucose tracking, users can spot trends and patterns in their blood sugar levels. This insight enables them to make proactive adjustments to their diabetes management plan, leading to better glycemic control. Reduced Hypoglycemia and Hyperglycemia: CGMs can provide early warnings of impending hypoglycemia (low blood sugar) or hyperglycemia (high blood sugar), reducing the risk of severe blood sugar fluctuations and related complications.

Want to be a Freelancer? Do You want to be a Freelancer? If so, first of all - You need to be well-versed in the subject you want to freelance on. If you can be good at a few things, you will get more work as a freelancer. Most of the clients on this platform are foreigners. So to communicate with them you have to master the English language very well. How to Start Freelancing? To start working as a freelancer you need to work step by step from the very beginning. Find a specific task or skill that you want to excel at. Must practice speaking or communication in English. Create your own freelancing account. You have to decide how much money you will take in exchange for the work. Choose the Topic that Suits You - There are many types of jobs that can be done on the freelancing marketplace. Both fairly easy and difficult jobs are available on this platform. Easy jobs include data entry, article writing, and jobs for which a large number of bids are received due to which these jobs have to be rushed and competition is high. Difficult jobs include high-quality expensive jobs like web development, web design, graphics design, and software development. Which have higher remuneration. Now you have to decide what kind of work you will do in freelancing. Everything You Need to Train - The first thing you need to train is patience. Without patience, you can never survive on this platform. There are quite a number of freelancing service providers in our country who provide coaching through various courses. You can complete your training through coaching if you want. You will need a good laptop or computer with an internet connection for regular practice. A minimum of basic computer knowledge is essential for learning the job, along with the ability to speak English. You have to focus hard on the subject you want to master and develop a mindset to stick with it. Incorporate what you have learned and done into your portfolio, gain an understanding of the marketplaces, be disciplined, and work on time. Work to Gain Experience - Your path to freelancing may not be smooth. But it should not stop there. Just as in life, there are various problems, pains, and dangers, so it is in the case of freelancing. At first, you may not get job offers or get results as expected. So don't be impatient, you have to strengthen yourself mentally. Because you are in the first step of gaining your experience. Don't just think of yourself as a freelancer, think of yourself as a student who needs experience, not money. So if you make a mistake at work, try to learn from it. You can Reduce the Unemployment rate by Teaching others to Work - Apart from earning income by teaching others to work, you can reduce the unemployment rate by contributing to the economic development of the country. Day by day the country's job market is deteriorating due to which the number of unemployed is increasing every year. Many youths have lost their whole lives, lost precious time of their lives in the pursuit of government jobs. If you are thinking of making your career permanently as a freelancer then you can train those youngsters and form a team of yours. By doing this you can help create employment for millions of youth and increase your income. Please Visit Our Blogging Website to read more Articles related to Freelancing and Outsourcing, Thank You.

His argument for an exact principle of relativity was that it was needed in order to remove “asymmetries that do not appear to be inherent in the phenomena,” as he began the 1905 relativity paper.5 For Einstein, as for Copernicus and Galileo, aesthetics were data.

High Switching Costs Products that require a significant amount of work to migrate away are said to have high switching costs. High switching costs reduce your churn and create a moat that keeps customers from switching to a competitor simply because that competitor is newer, cheaper, or even builds a better product. Most APIs are difficult to leave because to do so requires expensive developer time to integrate with a new product. Companies like Stripe, Twilio, and SendGrid have a pretty hefty switching cost moat. Tools like Slack are difficult to switch from because of the need to obtain buy-in from every manager in an organization. Also, because of the high number of integrations pushing data, Slack requires effort to recreate. Tools with low switching costs are those in which history is mostly irrelevant, and the time it takes to recreate something you’ve built in the tool is low or nonexistent. For example, a social media scheduling tool is easy to switch from because there is no critical history stored or complex workflows that need to be recreated using a new tool. Likewise, one-click SaaS analytics tools that tie into your Stripe account are relatively easy to switch from because they are “one-click easy” to set up.

To take it a step further, they use the relative risk percentage instead of the absolute risk percentage in expressing risk of dis- ease. They claim that for every 50 grams of processed meat being eaten—a few strips of bacon—each day, the risk of cancer in- creases by 18 percent. Now 18 percent sounds like a big deal, but that’s the relative risk. It is important to understand that the ex- isting risk of cancer for adults in the US is 5 percent at baseline. According to the IARC’s “data,” eating 50 grams of processed meat each day increased the risk of cancer to about 6 percent. So, the absolute risk increase is 1 percent. Not significant, is it? Especially not when you consider the way they collected their data and the unaccounted lifestyle variables.

And what about humans? Something similar. Women prefer the smell of moderately related over unrelated men. And in a study of 160 years of data concerning every couple in Iceland (which is a mecca for human geneticists, given its genetic and socioeconomic homogeneity), the highest reproductive success arose from third- and fourth-cousin marriages.24

Speed is the thing.13 We prefer a team that has a relative speed advantage over other virtues.

Phase Activities Action Establish relationships and common agenda between all stakeholders Collaboratively scope issues and information Agree on time-frame Reflection On research design, ethics, power relations, knowledge construction process, representation and accountability Action Build relationships Identify roles, responsibilities and ethics procedures Establish a Memorandum of Understanding Collaboratively design research process and tools Discuss and identify desired action outcomes Reflection On research questions, design, working relationships and information requirements Action Work together to implement research process and undertake data collection Enable participation of others Collaboratively analyse information generated Begin planning action together Reflection On research process Evaluate participation and representation of others Assess need for further research and/or various action options Action Plan research-informed action which may include feedback to participants and influential other Reflection Evaluate action and process as a whole Action Identify options for further participatory research and action with or without academic researchers Figure 2.1 Key stages in a typical PAR process

Not only are the gender overlaps large, but the gender differences are actually inflated at the outset. One danger of studying gaming populations (or any natural community) is that of bringing underlying biases into the data. The gender difference in achievement motivations is a good case in point. It turns out that age influences the achievement motivation more than gender; older players are much less interested in goals and competition in online games compared with younger players. In fact, the relation between age and the achievement motivation dwarfs the gender difference.

Very few companies know how to exploit the data already embedded in their core operating systems. THE SOLUTION Evidence-based, data-driven decision making provides the answer, but it requires a big cultural shift and four changes in how operations are managed. Who Benefits from Big Data? 496 words Big data is big business. The IT research firm Gartner estimates that total software, social media, and IT services spending related to big data and analytics topped $28 billion worldwide in 2012. All estimates predict rapid growth. In addition to vendors, at least three types of organizations are harvesting value from big data.

How can you say one thing when your data shows something else. One doesn't know what was on the authors' minds and maybe they interpreted things differently but the sense is that the literature maintains an attitude somewhat like the approach of lawyers. If the jury buys it, it doesn't matter whether or not it's true. In scientific publishing, the jury are the reviewers and the editors. If they are already convinced of the conclusion, if there is no voir dire, you will surely win the case.

I have never come across a more powerful paper. Every single doctor thought that the quality of life of their patients improved on drugs. All but one of the relatives thought that the quality of life of the patient got worse. In some cases much worse. As for the patients, most of them said quality of life was the same – or better. What

The retailer is interested in the consumers’ behaviour in each of the two or three hundred categories it offers, but owing to a lack of critical mass in each category, the retailer does not have the budget or the personnel to discover the information. However, for a manufacturer, concentrating on a small set of categories, it is worthwhile. The manufacturer can relate in-store data with the information collected from consumer research: how consumers choose in this category, which consumers choose what, which brands compete most closely with each other and which command the greatest brand loyalty. Since

One may first point to the obvious fact that a given social order precedes any individual organismic development. That is, world-openness, while intrinsic to man’s biological make-up, is always pre-empted by social order. One may say that the biologically intrinsic world-openness of human existence is always, and indeed must be, transformed by social order into a relative world-closedness. While this reclosure can never approximate the closedness of animal existence, if only because of its humanly produced and thus “artificial” character, it is nevertheless capable, most of the time, of providing direction and stability for the greater part of human conduct. The question may then be pushed to another level. One may ask in what manner social order itself arises. The most general answer to this question is that social order is a human product, or, more precisely, an ongoing human production. It is produced by man in the course of his ongoing externalization. Social order is not biologically given or derived from any biological data in its empirical manifestations. Social order, needless to add, is also not given in man’s natural environment, though particular features of this may be factors in determining certain features of a social order (for example, its economic or technological arrangements). Social order is not part of the “nature of things,” and it cannot be derived from the “laws of nature.”14 Social order exists only as a product of human activity. No other ontological status may be ascribed to it without hopelessly obfuscating its empirical manifestations. Both in its genesis (social order is the result of past human activity) and its existence in any instant of time (social order exists only and insofar as human activity continues to produce it) it is a human product. While

In 1985, then-General Secretary of the Communist Party of the Soviet Union, Mikhail Gorbachev, cut back on nationwide vodka production and passed a law prohibiting stores from selling liquor before noon. Consumption and overall death rates both dropped. When communism fell, vodka became available again, and rates of consumption and alcohol-related deaths rose accordingly. Russian women aren’t teetotalers by any means, but the average life expectancy for Russian men today is around 64, the lowest of any country in the world outside African nations. Less

What does this mean? It means that there is a statistical link to firm performance through the MCM component capabilities of selection, portfolio view, monitoring, and adaptive learning. That is, firms that have these processes in place have better market performance, brand equity, and customer equity relative to the market average.