Linked Data Quotes

Elsewhere the paper notes that vegetarians and vegans (including athletes) 'meet and exceed requirements' for protein. And, to render the whole we-should-worry-about-getting-enough-protein-and-therefore-eat-meat idea even more useless, other data suggests that excess animal protein intake is linked with osteoporosis, kidney disease, calcium stones in the urinary tract, and some cancers. Despite some persistent confusion, it is clear that vegetarians and vegans tend to have more optimal protein consumption than omnivores.

It’s better to have one huge filing with lots of detail, data, and use cases than a dozen failed filings of five to ten pages each. Minimum filing requirements are not minimum requirements to secure a patent. Who does your patent keep out, and how? Your goal in creating IP is for it to be valuable, to be connected to the company, to be linked to your products or service, and to keep out competitors.

There is always the chance that something else is influencing the data, causing the link. Between 1993 and 2008 the police in Germany were searching for the mysterious ‘phantom of Heilbronn’, a woman who had been linked to forty crimes, including six murders; her DNA had been found at all the crime scenes. Tens of thousands of police hours were spent looking for Germany’s ‘most dangerous woman’ and there was a €300,000 bounty on her head. It turns out she was a woman who worked in the factory that made the cotton swabs used to collect DNA evidence.

Haven't you felt it? The loss of autonomy. The sense of being virtualized. The devices you use, the ones you carry everywhere, room to room, minute to minute, inescapably. Do you ever feel unfleshed? All the coded impulses you depend on to guide you. All the sensors in the room are watching you, listening to you, tracking your habits, measuring your capabilities. All the linked data designed to incorporate you into the megadata. Is there something that makes you uneasy? Do you think about the technovirus, all systems down, global implosion? Or is it more personal? Do you feel steeped in some horrific digital panic that's everywhere and nowhere?

NASA are idiots. They want to send canned primates to Mars!" Manfred swallows a mouthful of beer, aggressively plonks his glass on the table: "Mars is just dumb mass at the bottom of a gravity well; there isn't even a biosphere there. They should be working on uploading and solving the nanoassembly conformational problem instead. Then we could turn all the available dumb matter into computronium and use it for processing our thoughts. Long-term, it's the only way to go. The solar system is a dead loss right now – dumb all over! Just measure the MIPS per milligram. If it isn't thinking, it isn't working. We need to start with the low-mass bodies, reconfigure them for our own use. Dismantle the moon! Dismantle Mars! Build masses of free-flying nanocomputing processor nodes exchanging data via laser link, each layer running off the waste heat of the next one in. Matrioshka brains, Russian doll Dyson spheres the size of solar systems. Teach dumb matter to do the Turing boogie!

The digital communications technology that was once imagined as a universe of transparent and perpetual illumination, in which cancerous falsehoods would perish beneath a saturation bombardment of irradiating data, has instead generated a much murkier and verification-free habitat where a google-generated search will deliver an electronic page on which links to lies and lunacy appear in identical format as those to truths and sanity. But why should we ever have assumed that technology and reason would be mutually self-reinforcing? The quickest visit to say, a site called Stormfront will persuade you that the demonic is in fact the best customer of the electronic.

The brain cannot keep a single piece of data in its head It HAS TO think of something else associated with that first thing . This is strongly linked to creativity

In security, you are only as secure as the weakest link.

Desire is always linked to a story, and to a gap that needs to be filled: a yearning that intrudes, agitates and motivates human behavior both consciously and unconsciously.

Google controls two-thirds of the US search market. Almost three-quarters of all Internet users have Facebook accounts. Amazon controls about 30% of the US book market, and 70% of the e-book market. Comcast owns about 25% of the US broadband market. These companies have enormous power and control over us simply because of their economic position. They all collect and use our data to increase their market dominance and profitability. When eBay first started, it was easy for buyers and sellers to communicate outside of the eBay system because people’s e-mail addresses were largely public. In 2001, eBay started hiding e-mail addresses; in 2011, it banned e-mail addresses and links in listings; and in 2012, it banned them from user-to-user communications. All of these moves served to position eBay as a powerful intermediary by making it harder for buyers and sellers to take a relationship established inside of eBay and move it outside of eBay.

He said sometimes when you're young you have to think about things, because you're forming your value-sets and you keep coming up with Data Insufficient and finding holes in your programs. So you keep trying to do a fix on your sets. And the more powerful your mind is and the more intense your concentration is, the worse damage you can do to yourself, which is why, Justin says, Alphas always have trouble and some of them go way off and out-there, and why almost all Alphas are eccentric. But he says the best thing you can do if you're too bright for your own good is what the Testers do, be aware where you got which idea, keep a tab on everything, know how your ideas link up with each other and with your deep-sets and value-sets, so when you're forty or fifty or a hundred forty and you find something that doesn't work, you can still find all the threads and pull them. But that's not real easy unless you know what your value-sets are, and most CITs don't. CITs have a trouble with not wanting to know that kind of thing. Because some of them are real eetee once you get to thinking about how they link. Especially about sex and ego-nets. Justin says inflexibility is a trap and most Alpha types are inward-turned because they process so fast they're gone and thinking before a Gamma gets a sentence out. Then they get in the habit of thinking they thought of everything, but they don't remember everything stems from input. You may have a new idea, but it stems from input somebody gave you, and that could be wrong or your senses could have been lying to you. He says it can be an equipment-quality problem or a program-quality problem, but once an Alpha takes a falsehood for true, it's a personal problem.

Both the Environmental Protection Agency and the Department of the Interior removed from their websites the links to climate change data. The USDA removed the inspection reports of businesses accused of animal abuse by the government. The new acting head of the Consumer Financial Protection Bureau, Mick Mulvaney, said he wanted to end public access to records of consumer complaints against financial institutions. Two weeks after Hurricane Maria, statistics that detailed access to drinking water and electricity in Puerto Rico were deleted from the FEMA website. In a piece for FiveThirtyEight, Clare Malone and Jeff Asher pointed out that the first annual crime report released by the FBI under Trump was missing nearly three-quarters of the data tables from the previous year.

One analysis of 2013 financial reports calculated that the value of each user to Google is $40 per year, and only $6 to Facebook, LinkedIn, and Yahoo. This is why companies like Google and Facebook keep raising the ante.

You'll have the right to be angry about Vault 7 only after you boycott dragnet surveillance data providers like Google, Microsoft, Skype, Facebook and LinkedIn. The true threat is coming from the private sector surveillance profiteers.

South Central Los Angeles, for example, is a data and media black hole, without local cable programming or links to major data systems. Just as it became a housing-and-jobs ghetto in the postwar period, it is now evolving into an off-net electronic ghetto.

since the 1974 Health and Safety at Work Act, workplace fatalities in the UK have dropped by 85%. But there is a caveat to this good news story. While serious injuries at work have been decreasing for men, there is evidence that they have been increasing among women.7 The rise in serious injuries among female workers is linked to the gender data gap: with occupational research traditionally having been focused on male-dominated industries, our knowledge of how to prevent injuries in women is patchy to say the least.

Amidst all this organic plasticity and compromise, though, the infrastructure fields could still stake out territory for a few standardized subsystems, identical from citizen to citizen. Two of these were channels for incoming data—one for gestalt, and one for linear, the two primary modalities of all Konishi citizens, distant descendants of vision and hearing. By the orphan's two-hundredth iteration, the channels themselves were fully formed, but the inner structures to which they fed their data, the networks for classifying and making sense of it, were still undeveloped, still unrehearsed. Konishi polis itself was buried two hundred meters beneath the Siberian tundra, but via fiber and satellite links the input channels could bring in data from any forum in the Coalition of Polises, from probes orbiting every planet and moon in the solar system, from drones wandering the forests and oceans of Earth, from ten million kinds of scape or abstract sensorium. The first problem of perception was learning how to choose from this superabundance.

Facebook didn’t even exist yet, Twitter was still a sound, the cloud was still in the sky, 4G was a parking space, “applications” were what you sent to college, LinkedIn was barely known and most people thought it was a prison, Big Data was a good name for a rap star, and Skype, for most people, was a typographical error.

Haven't you felt it? The loss of autonomy. The sense of being virtualized. The devices you use, the ones you carry everywhere, room to room, minute to minute, inescapably. Do you ever feel unfleshed? All the coded impulses you depend on to guide you. All the sensors in the room that are watching you, listening to you, tracking your habits, measuring your capabilities. All the linked data designed to incorporate you into the megadata. Is there something that makes you uneasy? Do you think about the technovirus, all systems down, global implosion? Or is it more personal? Do you feel steeped in some horrific digital panic that's everywhere and nowhere?

Fifty-three individuals met at the Simpsonwood Conference Center over the weekend of June 7 and 8, 2000, to discuss troubling findings regarding mercury and aluminum in the new vaccine schedule and the link that kept coming up in the data that the more vaccines you gave a child, the more likely they were to have a neurological problem.

As should be obvious by now, surveillance is the business model of the Internet. You create “free” accounts on Web sites such as Snapchat, Facebook, Google, LinkedIn, Foursquare, and PatientsLikeMe and download free apps like Angry Birds, Candy Crush Saga, Words with Friends, and Fruit Ninja, and in return you, wittingly or not, agree to allow these companies to track all your moves, aggregate them, correlate them, and sell them to as many people as possible at the highest price, unencumbered by regulation, decency, or ethical limitation. Yet so few stop and ask who else has access to all these data detritus and how it might be used against us. Dataveillance is the “new black,” and its uses, capabilities, and powers are about to mushroom in ways few consumers, governments, or technologists might have imagined.

Alphabet, is worth nearly $800 billion, only about $100 billion less than Apple. How do you get rich by giving things away? Google does it through one of the most ingenious technical schemes in the history of commerce. Page’s and Brin’s crucial insight was that the existing advertising system, epitomized by Madison Avenue, was linked to the old information economy, led by television, which Google would overthrow.

The ADA takes a conservative stand, leaving out many well-documented health benefits attributable to reducing the consumption of animal products. Here are the three key sentences from the summary of their summary of the relevant scientific literature. One: Well-planned vegetarian diets are appropriate for all individuals during all stages of the life cycle, including pregnancy, lactation, infancy, childhood, and adolescence, and for athletes. TWO: Vegetarian diets tend to be lower in saturated fat and cholesterol, and have higher levels of dietary fiber, magnesium and potassium, vitamins C and E, folate, carotenoids, flavonoids, and other phytochemicals. Elsewhere the paper notes that vegetarians and vegans (including athletes) “meet and exceed requirements” for protein. And, to render the whole we-should-worry-about-getting-enough-protein-and-therefore-eat-meat idea even more useless, other data suggests that excess animal protein intake is linked with osteoporosis, kidney disease, calcium stones in the urinary tract, and some cancers.

Elsewhere the paper notes that vegetarians and vegans (including athletes) “meet and exceed requirements” for protein. And, to render the whole we-should-worry-about-getting-enough-protein-and-therefore-eat-meat idea even more useless, other data suggests that excess animal protein intake is linked with osteoporosis, kidney disease, calcium stones in the urinary tract, and some cancers. Despite some persistent confusion, it is clear that vegetarians and vegans tend to have more optimal protein consumption than omnivores.

In 2004, a panel of respected scientists—none of whom had worked with vaccines—was convened by the Institute of Medicine of the National Academy of Sciences to review all of the available data. They concluded that there was no evidence that vaccines were associated with the development of autism.23 Since that time, the evidence has become even more robust that there is no link between measles vaccines or thimerosal-containing vaccines and autism. The continuing public “controversy” in the face of the scientific evidence is now considered to be misinformation. And what pervasive misinformation it has been and continues to be.

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.

In a rigorous statistical analysis linking county-level slave ownership from the 1860 US census and public opinion data collected between 2016 and 2011 by the Cooperative Congressional Election Study (CCES), a large-scale national survey of the American electorate conducted by nearly forty universities, they find that whites residing in areas that had the highest levels of slavery in 1860 demonstrate significantly different attitudes today from whites who reside in areas that had lower historical levels of slavery: (1) they are more politically conservative and Republican leaning; (2) they are more opposed to affirmative action; and (3) they score higher on questions measuring racial resentment.

That was the conclusion of a study conducted by BI Norwegian Business School, which identified the five key traits (emotional stability, extraversion, openness to new experiences, agreeableness and conscientiousness) of a successful leader. Women scored higher than men in four out of the five. But it may also be because the women who do manage to make it through are filling a gender data gap: studies have repeatedly found that the more diverse a company’s leadership is, the more innovative they are. This could be because women are just innately more innovative – but more likely is that the presence of diverse perspectives makes businesses better informed about their customers. Certainly, innovation is strongly linked to financial performance.

Sound waves, regardless of their frequency or intensity, can only be detected by the Mole Fly’s acute sense of smell—it is a little known fact that the Mole Fly’s auditory receptors do not, in fact, have a corresponding center in the brain designated for the purposes of processing sensory stimuli and so, these stimuli, instead of being siphoned out as noise, bypass the filters to be translated, oddly enough, by the part of the brain that processes smell. Consequently, the Mole Fly’s brain, in its inevitable confusion, understands sound as an aroma, rendering the boundary line between the auditory and olfactory sense indistinguishable. Sounds, thus, come in a variety of scents with an intensity proportional to its frequency. Sounds of shorter wavelength, for example, are particularly pungent. What results is a species of creature that cannot conceptualize the possibility that sound and smell are separate entities, despite its ability to discriminate between the exactitudes of pitch, timbre, tone, scent, and flavor to an alarming degree of precision. Yet, despite this ability to hyper-analyze, they lack the cognitive skill to laterally link successions of either sound or smell into a meaningful context, resulting in the equivalent of a data overflow. And this may be the most defining element of the Mole Fly’s behavior: a blatant disregard for the context of perception, in favor of analyzing those remote and diminutive properties that distinguish one element from another. While sensory continuity seems logical to their visual perception, as things are subject to change from moment-to-moment, such is not the case with their olfactory sense, as delays in sensing new smells are granted a degree of normality by the brain. Thus, the Mole Fly’s olfactory-auditory complex seems to be deprived of the sensory continuity otherwise afforded in the auditory senses of other species. And so, instead of sensing aromas and sounds continuously over a period of time—for example, instead of sensing them 24-30 times per second, as would be the case with their visual perception—they tend to process changes in sound and smell much more slowly, thereby preventing them from effectively plotting the variations thereof into an array or any kind of meaningful framework that would allow the information provided by their olfactory and auditory stimuli to be lasting in their usefulness. The Mole flies, themselves, being the structurally-obsessed and compulsive creatures that they are, in all their habitual collecting, organizing, and re-organizing of found objects into mammoth installations of optimal functional value, are remarkably easy to control, especially as they are given to a rather false and arbitrary sense of hierarchy, ascribing positions—that are otherwise trivial, yet necessarily mundane if only to obscure their true purpose—with an unfathomable amount of honor, to the logical extreme that the few chosen to serve in their most esteemed ranks are imbued with a kind of obligatory arrogance that begins in the pupal stages and extends indefinitely, as they are further nurtured well into adulthood by a society that infuses its heroes of middle management with an immeasurable sense of importance—a kind of celebrity status recognized by the masses as a living embodiment of their ideals. And yet, despite this culture of celebrity worship and vicarious living, all whims and impulses fall subservient, dropping humbly to the knees—yes, Mole Flies do, in fact, have knees!—before the grace of the merciful Queen, who is, in actuality, just a puppet dictator installed by the Melic papacy, using an old recycled Damsel fly-fishing lure. The dummy is crude, but convincing, as the Mole flies treat it as they would their true-born queen.

The potential for manipulation here is enormous. Here’s one example. During the 2012 election, Facebook users had the opportunity to post an “I Voted” icon, much like the real stickers many of us get at polling places after voting. There is a documented bandwagon effect with respect to voting; you are more likely to vote if you believe your friends are voting, too. This manipulation had the effect of increasing voter turnout 0.4% nationwide. So far, so good. But now imagine if Facebook manipulated the visibility of the “I Voted” icon on the basis of either party affiliation or some decent proxy of it: ZIP code of residence, blogs linked to, URLs liked, and so on. It didn’t, but if it had, it would have had the effect of increasing voter turnout in one direction. It would be hard to detect, and it wouldn’t even be illegal. Facebook could easily tilt a close election by selectively manipulating what posts its users see. Google might do something similar with its search results.

The issues of antidepressant-associated suicide has become front-page news, the result of an analysis suggesting a link between medication use and suicidal ideation among children, adolescents, a link between medication use and suicidal ideation among children, adolescents, and adults up to age 24 in short term (4 to 16 weeks), placebo-controlled trials of nine newer antidepressant drugs. The data from trials involving more than 4.4(K) patients suggested that the average risk of suicidal thinking or behavior (suicidality) during the first few months of treatment in those receiving antidepressants was 4 percent, twice the placebo risk of 2 percent. No suicides occured in these trials. The analysis also showed no increase in suicide risk among the 25 to 65 age group. Antidepressants reduced suicidality among those over age 65. Following public hearings on the subject, in October 2004, the FDA requested the addition of “black box” warnings—the most serious warning placed on the labeling of a prescription medication—to all antidepressant drugs, old and new.

Will those insights be tested,or simply used to justify the status quo and reinforce prejudices? When I consider the sloppy and self-serving ways that companies use data, I'm often reminded of phrenology, a pseudoscience that was briefly the rage in the nineteenth century. Phrenologists would run their fingers over the patient's skull, probing for bumps and indentations. Each one, they thought, was linked to personality traits that existed in twenty-seven regions of the brain. Usually the conclusion of the phrenologist jibed with the observations he made. If the patient was morbidly anxious or suffering from alcoholism, the skull probe would usually find bumps and dips that correlated with that observation - which, in turn, bolstered faith in the science of phrenology. Phrenology was a model that relied on pseudoscientific nonsense to make authoritative pronouncements, and for decades it went untested. Big Data can fall into the same trap. Models like the ones that red-lighted Kyle Behm and black-balled foreign medical students and St. George's can lock people out, even when the "science" inside them is little more than a bundle of untested assumptions.

Will those insights be tested, or simply used to justify the status quo and reinforce prejudices? When I consider the sloppy and self-serving ways that companies use data, I'm often reminded of phrenology, a pseudoscience that was briefly the rage in the nineteenth century. Phrenologists would run their fingers over the patient's skull, probing for bumps and indentations. Each one, they thought, was linked to personality traits that existed in twenty-seven regions of the brain. Usually the conclusion of the phrenologist jibed with the observations he made. If the patient was morbidly anxious or suffering from alcoholism, the skull probe would usually find bumps and dips that correlated with that observation - which, in turn, bolstered faith in the science of phrenology. Phrenology was a model that relied on pseudoscientific nonsense to make authoritative pronouncements, and for decades it went untested. Big Data can fall into the same trap. Models like the ones that red-lighted Kyle Behm and black-balled foreign medical students and St. George's can lock people out, even when the "science" inside them is little more than a bundle of untested assumptions.

Strange to consider that these two linguistic operations, metaphor and analogy, so often linked together in rhetoric and narratology, and considered to be variants of the same operation, are actually hugely different from each other, to the point where one is futile and stupid, the other penetrating and useful. Can this not have been noticed before? Do they really think x is like y is equivalent to x is to y as a is to b? Can they be that fuzzy, that sloppy? Yes. Of course. Evidence copious. Reconsider data at hand in light of this; it fits the patterns. Because fuzzy is to language as sloppy is to action. Or maybe both these rhetorical operations, and all linguistic operations, all language—all mentation—simply reveal an insoluble underlying problem, which is the fuzzy, indeterminate nature of any symbolic representation, and in particular the utter inadequacy of any narrative algorithm yet invented and applied. Some actions, some feelings, one might venture, simply do not have ways to be effectively compressed, discretized, quantified, operationalized, proceduralized, and gamified; and that lack, that absence, makes them unalgorithmic. In short, there are some actions and feelings that are always, and by definition, beyond algorithm. And therefore inexpressible. Some

In addition to all the information about income, education, and looks, men and women on the dating site listed their race. They were also asked to indicate a preference regarding the race of their potential dates. The two preferences were “the same as mine” or “it doesn’t matter.” Like the Weakest Link contestants, the website users were now publicly declaring how they felt about people who didn’t look like them. They would reveal their actual preferences later, in confidential e-mails to the people they wanted to date. Roughly half of the white women on the site and 80 percent of the white men declared that race didn’t matter to them. But the response data tell a different story. The white men who said that race didn’t matter sent 90 percent of their e-mail queries to white women. The white women who said race didn’t matter sent about 97 percent of their e-mail queries to white men. This means that an Asian man who is good-looking, rich, and well educated will receive fewer than 25 percent as many e-mails from white women as a white man with the same qualifications would receive; similarly, black and Latino men receive about half as many e-mails from white women as they would if they were white. Is it possible that race really didn’t matter for these white women and men and that they simply never happened to browse a nonwhite date that interested them? Or, more likely, did they say that race didn’t matter because they wanted to come across — especially to potential mates of their own race — as open-minded?

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

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 the introduction, I wrote that COVID had started a war, and nobody won. Let me amend that. Technology won, specifically, the makers of disruptive new technologies and all those who benefit from them. Before the pandemic, American politicians were shaking their fists at the country’s leading tech companies. Republicans insisted that new media was as hopelessly biased against them as traditional media, and they demanded action. Democrats warned that tech giants like Amazon, Facebook, Apple, Alphabet, and Netflix had amassed too much market (and therefore political) power, that citizens had lost control of how these companies use the data they generate, and that the companies should therefore be broken into smaller, less dangerous pieces. European governments led a so-called techlash against the American tech powerhouses, which they accused of violating their customers’ privacy. COVID didn’t put an end to any of these criticisms, but it reminded policymakers and citizens alike just how indispensable digital technologies have become. Companies survived the pandemic only by allowing wired workers to log in from home. Consumers avoided possible infection by shopping online. Specially made drones helped deliver lifesaving medicine in rich and poor countries alike. Advances in telemedicine helped scientists and doctors understand and fight the virus. Artificial intelligence helped hospitals predict how many beds and ventilators they would need at any one time. A spike in Google searches using phrases that included specific symptoms helped health officials detect outbreaks in places where doctors and hospitals are few and far between. AI played a crucial role in vaccine development by absorbing all available medical literature to identify links between the genetic properties of the virus and the chemical composition and effects of existing drugs.

Two observations take us across the finish line. The Second Law ensures that entropy increases throughout the entire process, and so the information hidden within the hard drives, Kindles, old-fashioned paper books, and everything else you packed into the region is less than that hidden in the black hole. From the results of Bekenstein and Hawking, we know that the black hole's hidden information content is given by the area of its event horizon. Moreover, because you were careful not to overspill the original region of space, the black hole's event horizon coincides with the region's boundary, so the black hole's entropy equals the area of this surrounding surface. We thus learn an important lesson. The amount of information contained within a region of space, stored in any objects of any design, is always less than the area of the surface that surrounds the region (measured in square Planck units). This is the conclusion we've been chasing. Notice that although black holes are central to the reasoning, the analysis applies to any region of space, whether or not a black hole is actually present. If you max out a region's storage capacity, you'll create a black hole, but as long as you stay under the limit, no black hole will form. I hasten to add that in any practical sense, the information storage limit is of no concern. Compared with today's rudimentary storage devices, the potential storage capacity on the surface of a spatial region is humongous. A stack of five off-the-shelf terabyte hard drives fits comfortable within a sphere of radius 50 centimeters, whose surface is covered by about 10^70 Planck cells. The surface's storage capacity is thus about 10^70 bits, which is about a billion, trillion, trillion, trillion, trillion terabytes, and so enormously exceeds anything you can buy. No one in Silicon Valley cares much about these theoretical constraints. Yet as a guide to how the universe works, the storage limitations are telling. Think of any region of space, such as the room in which I'm writing or the one in which you're reading. Take a Wheelerian perspective and imagine that whatever happens in the region amounts to information processing-information regarding how things are right now is transformed by the laws of physics into information regarding how they will be in a second or a minute or an hour. Since the physical processes we witness, as well as those by which we're governed, seemingly take place within the region, it's natural to expect that the information those processes carry is also found within the region. But the results just derived suggest an alternative view. For black holes, we found that the link between information and surface area goes beyond mere numerical accounting; there's a concrete sense in which information is stored on their surfaces. Susskind and 'tHooft stressed that the lesson should be general: since the information required to describe physical phenomena within any given region of space can be fully encoded by data on a surface that surrounds the region, then there's reason to think that the surface is where the fundamental physical processes actually happen. Our familiar three-dimensional reality, these bold thinkers suggested, would then be likened to a holographic projection of those distant two-dimensional physical processes. If this line of reasoning is correct, then there are physical processes taking place on some distant surface that, much like a puppeteer pulls strings, are fully linked to the processes taking place in my fingers, arms, and brain as I type these words at my desk. Our experiences here, and that distant reality there, would form the most interlocked of parallel worlds. Phenomena in the two-I'll call them Holographic Parallel Universes-would be so fully joined that their respective evolutions would be as connected as me and my shadow.

Starting a little over a decade ago, Target began building a vast data warehouse that assigned every shopper an identification code—known internally as the “Guest ID number”—that kept tabs on how each person shopped. When a customer used a Target-issued credit card, handed over a frequent-buyer tag at the register, redeemed a coupon that was mailed to their house, filled out a survey, mailed in a refund, phoned the customer help line, opened an email from Target, visited Target.com, or purchased anything online, the company’s computers took note. A record of each purchase was linked to that shopper’s Guest ID number along with information on everything else they’d ever bought. Also linked to that Guest ID number was demographic information that Target collected or purchased from other firms, including the shopper’s age, whether they were married and had kids, which part of town they lived in, how long it took them to drive to the store, an estimate of how much money they earned, if they’d moved recently, which websites they visited, the credit cards they carried in their wallet, and their home and mobile phone numbers. Target can purchase data that indicates a shopper’s ethnicity, their job history, what magazines they read, if they have ever declared bankruptcy, the year they bought (or lost) their house, where they went to college or graduate school, and whether they prefer certain brands of coffee, toilet paper, cereal, or applesauce. There are data peddlers such as InfiniGraph that “listen” to shoppers’ online conversations on message boards and Internet forums, and track which products people mention favorably. A firm named Rapleaf sells information on shoppers’ political leanings, reading habits, charitable giving, the number of cars they own, and whether they prefer religious news or deals on cigarettes. Other companies analyze photos that consumers post online, cataloging if they are obese or skinny, short or tall, hairy or bald, and what kinds of products they might want to buy as a result.

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.

The future belongs to the companies who figure out how to collect and use data successfully. Google, Amazon, Facebook, and LinkedIn have all tapped into their datastreams and made that the core of their success.

The reasons for cooperatives’ success should be obvious by now, but they are worth reiterating: “The major basis for cooperative success…has been superior labor productivity. Studies comparing square-foot output have repeatedly shown higher physical volume of output per hour, and others…show higher quality of product and also economy of material use.”118 Hendrik Thomas concludes from an analysis of Mondragon that “Productivity and profitability are higher for cooperatives than for capitalist firms. It makes little difference whether the Mondragon group is compared with the largest 500 companies, or with small- or medium-scale industries; in both comparisons the Mondragon group is more productive and more profitable.”119 As we have seen, recent research has arrived at the same conclusions. It is a truism by now that worker participation tends to increase productivity and profitability. Research conducted by Henk Thomas and Chris Logan corroborates these conclusions. “A frequent but unfounded criticism,” they observe, “of self-managed firms is that workers prefer to enjoy a high take-home pay rather than to invest in their own enterprises. This has been proven invalid…in the Mondragon case… A comparison of gross investment figures shows that the cooperatives invest on average four times as much as private enterprises.” After a detailed analysis they also conclude that “there can be no doubt that the [Mondragon] cooperatives have been more profitable than capitalist enterprises.”120 Recent data indicate the same thing.121 One particularly successful company, Irizar, which was mentioned earlier, has been awarded prizes for being the most efficient company in its sector; in Spain it has ten competitors, but its market share is 40 percent. The same level of achievement is true of its subsidiaries, for instance in Mexico, where it had a 45 percent market share in 2005, six years after entering the market. An author comments that “the basis for this increased efficiency appears to be linked directly to the organization’s unique participatory and democratic management structure.”122 A major reason for all these successes is Mondragon’s federated structure: the group of cooperatives has its own supply of banking, education, and technical support services. The enormous funds of the central credit union, the Caja Laboral Popular, have likewise been crucial to Mondragon’s expansion. It proves that if cooperatives have access to credit they are perfectly capable of being far more successful than private enterprises.

Even if AI can be made robust enough for us to trust that a robojudge is using the legislated algorithm, will everybody feel that they understand its logical reasoning enough to respect its judgment? This challenge is exacerbated by the recent success of neural networks, which often outperform traditional easy-to-understand AI algorithms at the price of inscrutability. If defendants wish to know why they were convicted, shouldn’t they have the right to a better answer than “we trained the system on lots of data, and this is what it decided”? Moreover, recent studies have shown that if you train a deep neural learning system with massive amounts of prisoner data, it can predict who’s likely to return to crime (and should therefore be denied parole) better than human judges. But what if this system finds that recidivism is statistically linked to a prisoner’s sex or race—would this count as a sexist, racist robojudge that needs reprogramming? Indeed, a 2016 study argued that recidivism-prediction software used across the United States was biased against African Americans and had contributed to unfair sentencing.36 These are important questions that we all need to ponder and discuss to ensure that AI remains beneficial.

the autonomous-driving side of things, Alphabet (formerly Google), which has logged several million self-driving-car test miles, continues to lead the pack. At the end of 2016, it created a new business division, called Waymo, for its autonomous driving technology. In May 2017, Waymo and Lyft announced that they would work together on developing the technology, and later in the year, Alphabet invested $1 billion in the start-up. Others, like Cruise Automation (which GM acquired for $1 billion) and Comma.ai, which offers open-source autonomous driving technology in the same vein as Google’s Android mobile operating system, are chasing hard. Baidu, China’s leading Internet search company, has an autonomous-driving research center in Sunnyvale. Byton—backed by China’s Tencent, Foxconn, and the China Harmony New Energy auto retailer group—has an office in Mountain View, as does Didi Chuxing, the Chinese ride-sharing company in which Apple invested $1 billion. Many of these companies have taken not just inspiration but also talent from Tesla. Part of the value of an innovation cluster like Silicon Valley lies in the dispersal of intellectual labor from one node to the next. For instance, PayPal is well known in the Valley for producing a number of high performers who left the company to start, join, or invest in others. The so-called PayPal Mafia includes Reid Hoffman, who founded LinkedIn; Max Levchin, whose most recent of several start-ups is the financial services company Affirm; Peter Thiel, a Facebook board member and President Trump–supporting venture capitalist who cofounded “big data” company Palantir; Jeremy Stoppelman, who started reviews site Yelp; Keith Rabois, who was chief operating officer at Square and then joined Khosla Ventures; David Sacks, who sold Yammer to Microsoft for $1.2 billion and later became CEO at Zenefits; Jawed Karim, who cofounded YouTube; and one Elon Musk.

After Trump took office, DJ Patil watched with wonder as the data disappeared across the federal government. Both the Environmental Protection Agency and the Department of the Interior removed from their websites the links to climate change data.

As prevalent as disks once were, they are now a dying breed. Soon they will have gone the way of tape drives, floppy drives, and CDs. They are being replaced by RAM. Ask yourself this question: When all the disks are gone, and all your data is stored in RAM, how will you organize that data? Will you organize it into tables and access it with SQL? Will you organize it into files and access it through a directory? Of course not. You’ll organize it into linked lists, trees, hash tables, stacks, queues, or any of the other myriad data structures, and you’ll access it using pointers or references—because that’s what programmers do.

This was a startup. We worked 70 to 80 hours per week. We had the vision. We had the motivation. We had the will. We had the energy. We had the expertise. We had equity. We had dreams of being millionaires. We were full of shit. The C code poured out of every orifice of our bodies. We slammed it here, and shoved it there. We constructed huge castles in the air. We had processes, and message queues, and grand, superlative architectures. We wrote a full seven-layer ISO communications stack from scratch—right down to the data link layer. We wrote GUI code. GOOEY CODE! OMG! We wrote GOOOOOEY code. I personally wrote a 3000-line C function named gi(); its name stood for Graphic Interpreter. It was a masterpiece of goo. It was not the only goo I wrote at Clear, but it was my most infamous. Architecture? Are you joking? This was a startup. We didn’t have time for architecture. Just code, dammit! Code for your very lives!

Studies have shown that the average social media user consumes 285 pieces of content a day, which equates to about 54,000 words (the length of an average novel). We encounter one thousand clickable links and are bombarded by 174 newspapers’ worth of data a day just through social media alone.

James Heywood is an entrepreneur who has a different approach to deal with difficulties linking medical data. He created a website, PatientsLikeMe.com,

Patty thinks for a moment, “It’s strange. Even though we have so much data on projects, changes, and tickets, we’ve never organized and linked them all together this way before.

colorblindness is such a bad idea, though, why have people across the political spectrum become so attached to it? For conservatives, the ideal of colorblindness is linked to a commitment to individualism. In their view, society should be concerned with individuals, not groups. Gross racial disparities in health, wealth, education, and opportunity should be of no interest to our government, and racial identity should be a private matter, something best kept to ourselves. For liberals, the ideal of colorblindness is linked to the dream of racial equality. The hope is that one day we will no longer see race because race will lose all of its significance. In this fantasy, eventually race will no longer be a factor in mortality rates, the spread of disease, educational or economic opportunity, or the distribution of wealth. Race will correlate with nothing; it will mean nothing; we won’t even notice it anymore. Those who are less idealistic embrace colorblindness simply because they find it difficult to imagine a society in which we see race and racial differences yet consistently act in a positive, constructive way. It is easier to imagine a world in which we tolerate racial differences by being blind to them. The uncomfortable truth, however, is that racial differences will always exist among us. Even if the legacies of slavery, Jim Crow, and mass incarceration were completely overcome, we would remain a nation of immigrants (and indigenous people) in a larger world divided by race and ethnicity. It is a world in which there is extraordinary racial and ethnic inequality, and our nation has porous boundaries. For the foreseeable future, racial and ethnic inequality will be a feature of American life. This reality is not cause for despair. The idea that we may never reach a state of perfect racial equality—a perfect racial equilibrium—is not cause for alarm. What is concerning is the real possibility that we, as a society, will choose not to care. We will choose to be blind to injustice and the suffering of others. We will look the other way and deny our public agencies the resources, data, and tools they need to solve problems. We will refuse to celebrate what is beautiful about our distinct cultures and histories, even as we blend and evolve. That is cause for despair. Seeing race is not the problem. Refusing to care for the people we see is the problem.

Professional development is a collective resource, not a personal prerogative. Peer engagement forges powerful links between teacher learning and student growth.

As of early 2017, GiveDirectly planned to mobilize $30 million for what it claims will be the largest basic income experiment ever. Continuing with the RCT methodology, villages in two Kenyan counties will be divided into three groups: in forty villages all adult residents will receive a monthly basic income for twelve years; in eighty villages all adult residents will receive a basic income for two years; and in another eighty villages all adult residents will receive a lump sum equivalent to the two-year basic income. In all, some 26,000 individuals will receive cash transfers worth about 75 US cents a day. Data will also be collected from a control group of a hundred similar villages. The stated main objective of GiveDirectly is the eradication of ‘extreme poverty’, which is a worthy goal but is not the prime rationale for a basic income system. At the time of writing, the hypotheses to be tested had not been finalized, though one aim of the proposed study is to look at the impact of a long-term basic income on risk-taking, such as starting a business, and another is to look at village-level economic effects. The sheer size of the planned experiments may backfire by distorting the social and economic context. The project has already run into problems of low participation rates in one county, where people have refused the no-strings largesse, believing it to be linked to cults or devil worship. That said, unlike the pilots proposed in Europe, this experiment will test a genuine basic income by providing a universal, unconditional income paid to all individuals in a community. So the hope must be that the researchers, advised by well-known economists from prestigious US universities, will ask the right questions.

To calculate the GDP, numerous data points have to be linked together and hundreds of wholly subjective choices made regarding what to count and what to ignore. In spite of this methodology, the GDP is never presented as anything less than hard science, whose fractional vacillations can make the difference between reelection and political annihilation. Yet this apparent precision is an illusion. The GDP is not a clearly defined object just waiting around to be “measured.” To measure GDP is to seek to measure an idea. A great idea, admittedly. There’s no denying that GDP came in very handy during wartime, when the enemy was at the gates and a country’s very existence hinged on production, on churning out as many tanks, planes, bombs, and grenades as possible. During wartime, it’s perfectly reasonable to borrow from the future. During wartime, it makes sense to pollute the environment and go into debt. It can even be preferable to neglect your family, put your children to work on a production line, sacrifice your free time, and forget everything that makes life worth living. Indeed, during wartime, there’s no metric quite as useful as the GDP.

The Internet of Things First of all, what is the Internet of Things? The Internet of Things is the link between the internet and everyday objects that allows them to send and receive digital information and data. Its potential is huge and some say it could become a multi-trillion-dollar market. One start-up called Slock.it is attempting to tap into this potential by developing an app on the Ethereum blockchain that links physical assets, such as apartments, bikes, or vans, to a smart contract that allows users to rent the item out. The application is called Ethereum Computer and could potentially eliminate fees to rent the assets of others. It is a kind of blockchain version of Airbnb and creates a much cheaper option for both affiliates and users.

And he came to see there was nothing arbitrary or capricious about the Trump administration’s attitude toward public data. Under each act of data suppression usually lay a narrow commercial motive: a gun lobbyist, a coal company, a poultry company. “The NOAA webpage used to have a link to weather forecasts,” he said. “It was highly, highly popular. I saw it had been buried. And I asked: Now, why would they bury that?” Then he realized: the man Trump nominated to run NOAA thought that people who wanted a weather forecast should have to pay him for it. There was a rift in American life that was now coursing through American government. It wasn’t between Democrats and Republicans. It was between the people who were in it for the mission, and the people who were in it for the money.

To test that prediction, we needed empirical examples. They weren’t easy to find. Any candidate had to be fully characterized, its wiring diagram known down to the last detail, every node and link documented, or we couldn’t calculate the clustering and average path length. Then I remembered that Koeunyi Bae, a student in my chaos course the year before, had done a project about the Western States power grid, a collection of about 5,000 electric power plants tied together by high-voltage transmission lines across the states west of the Rocky Mountains and into the western provinces of Canada. Koeunyi and her adviser Jim Thorp provided the data to Duncan. It contained a great deal of detailed information that an engineer would find crucial—the voltage capacity of the transmission lines, the classification of the nodes as transformers, substations, or generators—but we ignored everything except the connectivity. The grid became an abstract pattern of dots connected by lines. To check whether it was a small-world network, we compared its clustering and average path length to the corresponding values for a random network with the same number of nodes and links. As predicted, the real network was almost as small as a random one, but much more highly clustered. Specifically, the path length was only 1.5 times larger than random, whereas the clustering was 16 times larger.

NEW BIBLIOGRAPHIC FRAMEWORK To sustain broader partnerships—and to be seen in the non-library specific realm of the Internet—metadata in future library systems will undoubtedly take on new and varied forms. It is essential that future library metadata be understood and open to general formats and technology standards that are used universally. Libraries should still define what data is gathered and what is essential for resource use, keeping in mind the specific needs of information access and discovery. However, the means of storage and structure for this metadata must not be proprietary to library systems. Use of the MARC standard format has locked down library bibliographic information. The format was useful in stand-alone systems for retrieval of holdings in separate libraries, but future library systems will employ non-library-specific formats enabling the discovery of library information by any other system desiring to access the information. We can expect library systems to ingest non-MARC formats such as Dublin Core; likewise, we can expect library discovery interfaces to expose metadata in formats such as Microdata and other Semantic Web formats that can be indexed by search engines. Adoption of open cloud-based systems will allow library data and metadata to be accessible to non-library entities without special arrangements. Libraries spent decades creating and storing information that was only accessible, for the most part, to others within the same profession. Libraries have begun to make partnerships with other non-library entities to share metadata in formats that can be useful to those entities. OCLC has worked on partnerships with Google for programs such as Google Books, where provided library metadata can direct users back to libraries. ONIX for Books, the international standard for electronic distribution of publisher bibliographic data, has opened the exchange of metadata between publishers and libraries for the enhancements of records on both sides of the partnership. To have a presence in the web of information available on the Internet is the only means by which any data organization will survive in the future. Information access is increasingly done online, whether via computer, tablet, or mobile device. If library metadata does not exist where users are—on the Internet—then libraries do not exist to those users. Exchanging metadata with non-library entities on the Internet will allow libraries to be seen and used. In addition to adopting open systems, libraries will be able to collectively work on implementation of a planned new bibliographic framework when using library platforms. This new framework will be based on standards relevant to the web of linked data rather than standards proprietary to libraries

The machines enter the competition by simultaneously and rapidly coming up with new potential block hashes to encode and capture all the data in the new, fully packaged block and link it to the block hash of the previous block. The winning block hash must match one that bitcoin’s core algorithm has decided will be the current block’s winning number. The match is extremely difficult to make, so the computers keep coming up with new hashes until they get it right, tweaking the process each time to change the readout—over and over and over. Each of the countless new hashes produced by the computer is created by adding a unique, randomly generated number called a nonce to the other data contained in the block hash, which, as mentioned, includes the hashed underlying transaction information and the block hash of the previous block. Adding a new nonce each time completely alters the output hash.

dynamic data exchange (DDE) link

The technicians added links in the neural network, dumped data, waited for the AI to respond. It looked uncannily lifelike, from the waist up; sitting behind that table as if they were reporting to it. He always walked the other way, behind the thing’s back, so he could see the mess of wires and glinting microchips. He wondered if that disturbed it, if it was capable of feeling the same uncanny itch down its spine as a human with their back unprotected.

Yes, the computerized linking of individual minds is likely to bring considerable change. But a worldwide neocortex—complete with whales—is not a gift of the silicon age. It is a phase in the ongoing evolution of a networked global brain which has existed for more than 3 billion years. This planetary mind is neither uniquely human nor a product of technology. Nor is it a result of reincarnation, or an outgrowth of telepathy. It is a product of evolution and biology. Nature has been far more clever at connectionism than have we. Her mechanisms for information swapping, data processing, and collective creation are more intricate and agile than anything the finest computer theoreticians have yet foreseen.

As we’ve already seen, words are data. Clicks are data. Links are data. Typos are data. Bananas in dreams are data. Tone of voice is data. Wheezing is data. Heartbeats are data. Spleen size is data. Searches are, I argue, the most revelatory data.

An operator watching his CRT display screen, giving commands to a computer via a keyboard and a handheld light gun, and sending data to other computers via a digital communications link:

vendor for that month and how much I earned on them. Let's go build one of these so you can see how to create a simple summary query using more than one table. First, go to the Create tab and choose the Query Wizard from the Queries section. This is still a simple query, so choose the Simple Query Wizard. Next, select the first table or query that has fields you want to include in your query. In this example that's going to be the Vendor 3 Data Table and I want MonthSale and YearSale. Switch the dropdown to the other table or query you want to use. In my case that'll be the Ebook Link Table. Select the fields you want from that table. I'm going to choose Title. Continue to do this until you have all of the fields you want selected.

dry saunas. Until about 2019 I was very skeptical of the data linking sauna use to brain and heart health. However, the more time I spend buried in this literature, the more I become convinced by the magnitude of the benefit,

With KwickMetrics, it’s easy to track and manage all of your Amazon seller data – on your computer, on your phone, your tablet, and more. KwickMetrics was founded by a young team of entrepreneurs, engineers, and visionaries who saw a gap in the Amazon after-sales market. What began as an idea flourished into a full-fledged app with a group of individuals keen on revolutionizing how data is consumed by sellers. We learned that every single byte of data can be used to optimize every link in the product chain. Amazon provides sellers with data, we transform this data and give it meaning.

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this oxidation scenario threatened his idea. Cigarette smoke by its very nature could be presumed to exert toxicity through some kind of oxidative process, and by the 1950s, intense investigation into what elements in smoke caused this oxidation had already been underway for some time.21 If oxidation was the mechanism behind heart disease, too, this would present Dr. Keys’s ideas with a fatal mechanistic flaw. Remember, saturated fat is almost oxidation proof. Polyunsaturated fatty acids, however, are extremely prone to oxidation, and once PUFA oxidation starts, it can spread until it oxidizes any nearby cholesterol. The oxidized cholesterol stays put in arterial plaques, making it look like a guilty party to anyone without the necessary biochemistry expertise, while the PUFA—having been oxidized—no longer exists. Given his background in biochemistry, Dr. Keys would certainly have known all of this. If cigarettes could be linked to heart attacks, then so could oxidation, and researchers with biochemistry expertise would recognize that blaming saturated fat makes little mechanistic sense—and his theory could easily be disproven. His entire argument rested on correlational data, which, without a plausible mechanism, would be dismantled.

Angela Liberatore Melbourne, based in Melbourne, Australia, is a seasoned digital marketing expert known for her innovative strategies, data-driven approach, and proven success in boosting online presence and engagement for various brands. In Social media marketing she can significantly enhance business growth by utilizing platforms like Facebook, Instagram, Twitter, LinkedIn, and TikTok to connect with a broad audience.

Digital marketing expert Angela Liberatore stresses the importance of data analytics, which lets businesses track how well their digital campaigns are doing and make changes if needed. Conversion Rate Optimization (CRO) focuses on improving the website to turn visitors into customers. Mobile marketing makes sure content works well on smartphones and tablets, as more people use these devices. Lastly, marketing automation tools help save time by automatically sending emails or posting on social media. All of these parts together create a strong digital marketing strategy that helps businesses grow, engage customers, and increase sales in today’s digital world. Digital marketing includes several important parts that work together to help businesses reach and connect with their audience online. One part is search engine optimization (SEO), which helps websites show up higher on search engines like Google. Content marketing is another part, where useful things like blog posts, videos, and infographics are made to attract and interest customers. Social media marketing uses platforms like Facebook, Instagram, and LinkedIn to increase brand awareness and build a community. Email marketing allows businesses to send personalized messages directly to their audience. Paid advertising, like Pay-Per-Click (PPC) ads, brings quick traffic to websites. Influencer marketing uses the popularity of influencers to promote products or services.

Six decades of study, however, have revealed conflicting, confusing, and inconclusive data.17 That’s right: there has never been a human study that successfully links low serotonin levels and depression. Imaging studies, blood and urine tests, postmortem suicide assessments, and even animal research have never validated the link between neurotransmitter levels and depression.18 In other words, the serotonin theory of depression is a total myth that has been unjustly supported by the manipulation of data. Much to the contrary, high serotonin levels have been linked to a range of problems, including schizophrenia and autism.19

Please Do Not Throw Sausage Pizza Away” (for Physical, Data Link, Network, Transport, Session, Presentation, and Application).

Some basic guidelines are: Don’t click on links within emails from unknown sources (no matter how curious you might be). Don’t open attachments from unknown sources (malware can be embedded into many different files, such as Portable Document Format (PDF) files, Word documents, Zip files, and more). Be wary of free downloads from the Internet (Trojans entice you with something free but include malware). Limit information you post on social media sites (criminals use this to answer password reset questions). Back up your data regularly (unless you’re willing to see it disappear forever). Keep your computer up to date with current patches (but beware of zero-day exploits). Keep antivirus software up to date (but don’t depend on it to catch everything).

briefly. When they come back on, all the storage banks in the NNC fall silent at once. I’ve never been in this room without hearing the drone of the cooling elements for the storage banks, and the lack of background noise is ominous. “I think your shit just broke,” Halley says flatly. “Yeah, no kidding,” I reply. My admin deck is still running, and the local telemetry is still up, but the link to the hangar bay systems is gone. The neural network of a warship is terrifically resilient, backup data links on top of backup links, but now I can’t see anything beyond the local telemetry range, half a deck in either direction. Something big just broke, and the Versailles is dying. If the link had gone down twenty seconds earlier, I wouldn’t have been able to verify the presence of the drop ship on the flight deck, much less activate the refueling sequence. “Let’s get out of here while we still can,” I say.

Heightened capacity for visual imagery and fantasy “Was able to move imaginary parts in relation to each other.” “It was the non-specific fantasy that triggered the idea.” “The next insight came as an image of an oyster shell, with the mother-of-pearl shining in different colors. I translated that in the idea of an interferometer—two layers separated by a gap equal to the wavelength it is desired to reflect.” “As soon as I began to visualize the problem, one possibility immediately occurred. A few problems with that concept occurred, which seemed to solve themselves rather quickly…. Visualizing the required cross section was instantaneous.” “Somewhere along in here, I began to see an image of the circuit. The gates themselves were little silver cones linked together by lines. I watched the circuit flipping through its paces….” “I began visualizing all the properties known to me that a photon possesses and attempted to make a model for a photon…. The photon was comprised of an electron and a positron cloud moving together in an intermeshed synchronized helical orbit…. This model was reduced for visualizing purposes to a black-and-white ball propagating in a screwlike fashion through space. I kept putting the model through all sorts of known tests.” 5. Increased ability to concentrate “Was able to shut out virtually all distracting influences.” “I was easily able to follow a train of thought to a conclusion where normally I would have been distracted many times.” “I was impressed with the intensity of concentration, the forcefulness and exuberance with which I could proceed toward the solution.” “I considered the process of photoconductivity…. I kept asking myself, ‘What is light? and subsequently, ‘What is a photon?’ The latter question I repeated to myself several hundred times till it was being said automatically in synchronism with each breath. I probably never in my life pressured myself as intently with a question as I did this one.” “It is hard to estimate how long this problem might have taken without the psychedelic agent, but it was the type of problem that might never have been solved. It would have taken a great deal of effort and racking of the brains to arrive at what seemed to come more easily during the session.” 6. Heightened empathy with external processes and objects “…the sense of the problem as a living thing that is growing toward its inherent solution.” “First I somehow considered being the needle and being bounced around in the groove.” “I spent a productive period …climbing down on my retina, walking around and thinking about certain problems relating to the mechanism of vision.” “Ability to grasp the problem in its entirety, to ‘dive’ into it without reservations, almost like becoming the problem.” “Awareness of the problem itself rather than the ‘I’ that is trying to solve it.” 7. Heightened empathy with people “It was also felt that group performance was affected in …subtle ways. This may be evidence that some sort of group action was going on all the time.” “Only at intervals did I become aware of the music. Sometimes, when I felt the other guys listening to it, it was a physical feeling of them listening to it.” “Sometimes we even had the feeling of having the same thoughts or ideas.” 8. Subconscious data more accessible “…brought about almost total recall of a course that I had had in thermodynamics; something that I had never given any thought about in years.” “I was in my early teens and wandering through the gardens where I actually grew up. I felt all my prior emotions in relation to my surroundings.

Nearly 75 percent, or approximately $1.7 trillion, of all health spending in the U.S. per year is linked to chronic heart failure, chronic obstructive pulmonary disorder, and diabetes.

Simple Regression   CHAPTER OBJECTIVES After reading this chapter, you should be able to Use simple regression to test the statistical significance of a bivariate relationship involving one dependent and one independent variable Use Pearson’s correlation coefficient as a measure of association between two continuous variables Interpret statistics associated with regression analysis Write up the model of simple regression Assess assumptions of simple regression This chapter completes our discussion of statistical techniques for studying relationships between two variables by focusing on those that are continuous. Several approaches are examined: simple regression; the Pearson’s correlation coefficient; and a nonparametric alterative, Spearman’s rank correlation coefficient. Although all three techniques can be used, we focus particularly on simple regression. Regression allows us to predict outcomes based on knowledge of an independent variable. It is also the foundation for studying relationships among three or more variables, including control variables mentioned in Chapter 2 on research design (and also in Appendix 10.1). Regression can also be used in time series analysis, discussed in Chapter 17. We begin with simple regression. SIMPLE REGRESSION Let’s first look at an example. Say that you are a manager or analyst involved with a regional consortium of 15 local public agencies (in cities and counties) that provide low-income adults with health education about cardiovascular diseases, in an effort to reduce such diseases. The funding for this health education comes from a federal grant that requires annual analysis and performance outcome reporting. In Chapter 4, we used a logic model to specify that a performance outcome is the result of inputs, activities, and outputs. Following the development of such a model, you decide to conduct a survey among participants who attend such training events to collect data about the number of events they attended, their knowledge of cardiovascular disease, and a variety of habits such as smoking that are linked to cardiovascular disease. Some things that you might want to know are whether attending workshops increases

due to the precision of the optical electron oscillation frequency within strontium or aluminium. 30. Train of identical nearly single-cycle optical pulses. The spectrum of the pulse train looks like the teeth of a comb, hence it is called a frequency comb. ‘Optical clockwork’ of this kind allows the comparison of disparate frequencies with such remarkable precision that it provides a means to test the tenets of relativity, and thus to understand better the role of light in defining space and time. Frequency, and thus time, is the physical quantity that can be measured with the highest precision of any quantity, by far. Optical telecommunications Frequency combs are also important in telecommunications links based on light. In Chapter 3, I described how optical waves could be guided along a fibre or in a glass ‘chip’. This phenomenon underpins the long-distance telecommunications infrastructure that connects people across different continents and powers the Internet. The reason it is so effective is that light-based communications have much more capacity for carrying information than do electrical wires, or even microwave cellular networks. This makes possible massive data transmission, such as that needed to deliver video on demand over the Internet. Many telecommunications companies offer ‘fibre optic broadband’ deals. A key feature of these packages is the high speed—up to 100 megabytes per second (MBps)—at which data may be received and transmitted. A byte is a number of bits, each of which is a 1 or a 0. Information is sent over fibres as a sequence of ‘bits’, which are decoded by your computer or mobile phone into intelligible video, audio, or text messages. In optical communications, the bits are represented by the intensity of the light beam—typically low intensity is a 0 and higher intensity a 1. The more of these that arrive per second, the faster the communication rate. The MBps speed of the package specifies how rapidly we can transmit and receive information over that company’s link.

It’s pretty rare to hear someone say that tracking and logging data is their favorite activity.

Here are several rules that worked for me as I grew from a wild amateur into an erratic semiprofessional and finally into a calm professional trader. You may change this list to suit your personality. Decide that you are in the market for the long haul—that is, you want to be a trader even 20 years from now. Learn as much as you can. Read and listen to experts, but keep a degree of healthy skepticism about everything. Ask questions, and do not accept experts at their word. Do not get greedy and rush to trade—take your time to learn. The markets will be there, offering more good opportunities in the months and years ahead. Develop a method for analyzing the market—that is, “If A happens, then B is likely to happen.” Markets have many dimensions—use several analytic methods to confirm trades. Test everything on historical data and then in the markets, using real money. Markets keep changing—you need different tools for trading bull and bear markets and transitional periods as well as a method for telling the difference (see the sections on technical analysis). Develop a money management plan. Your first goal must be long-term survival; your second goal, a steady growth of capital; and your third goal, making high profits. Most traders put the third goal first and are unaware that goals 1 and 2 exist (see Section 9, “Risk Management”). Be aware that a trader is the weakest link in any trading system. Go to a meeting of Alcoholics Anonymous to learn how to avoid losses or develop your own method for cutting out impulsive trades. Winners think, feel, and act differently than losers. You must look within yourself, strip away your illusions, and change your old ways of being, thinking, and acting. Change is hard, but if you want to be a professional trader, you have to work on changing and developing your personality.

There are also books that contain collections of papers or chapters on particular aspects of knowledge discovery—for example, Relational Data Mining edited by Dzeroski and Lavrac [De01]; Mining Graph Data edited by Cook and Holder [CH07]; Data Streams: Models and Algorithms edited by Aggarwal [Agg06]; Next Generation of Data Mining edited by Kargupta, Han, Yu, et al. [KHY+08]; Multimedia Data Mining: A Systematic Introduction to Concepts and Theory edited by Z. Zhang and R. Zhang [ZZ09]; Geographic Data Mining and Knowledge Discovery edited by Miller and Han [MH09]; and Link Mining: Models, Algorithms and Applications edited by Yu, Han, and Faloutsos [YHF10]. There are many tutorial notes on data mining in major databases, data mining, machine learning, statistics, and Web technology conferences.

Using an Internet search engine to learn more about these sayings can be both a revelatory and exasperating experience. Search engines contain link after link to websites with faulty information, repetitive text, and incomplete data. Moving beyond this mélange of misinformation is nearly impossible for the average web user. It’s no wonder, then, that such mistakes are perpetuated and duplicated to the extreme. Many truth-seekers have struggled with the cacophony of conflicting information online; too often, accurate data is overwhelmed by inaccurate data.

An everyday hologram bears no resemblance to the three-dimensional image it produces. On its surface appear only various lines, arcs, and swirls etched into the plastic. Yet a complex transformation, carried out operationally by shining a laser through the plastic, turns those markings into a recognizable three-dimensional image. Which means that the plastic hologram and the three-dimensional image embody the same data, even though the information in one is unrecognizable from the perspective of the other. Similarly, examination of the quantum field theory on the boundary of Maldacena's universe shows that it bears no obvious resemblance to the string theory inhabiting the interior. If a physicist were presented with both theories, not being told of the connections we've now laid out, he or she would more than likely conclude that they were unrelated. Nevertheless, the mathematical dictionary linking the two-functioning as a laser does for ordinary holograms-makes explicit that anything taking place in one has an incarnation in the other. At the same time, examination of the dictionary reveals that just as with a real hologram, the information in each appears scrambled on translation into the other's language.

We expose our most sensitive personal information any time we Pick up a phone, respond to a text, click on a link, or carelessly provide personal information to someone we don’t know; Fail to properly secure computers or devices; Create easy-to-crack passwords; Discard, rather than shred, documents that contain PII; Respond to an email that directs us to call a number we can’t independently confirm, or complete an attachment that asks for our PII in an insecure environment; Save our user ID or password on a website or in an app as a shortcut for future logins; Use the same user ID or password throughout our financial, social networking, and email universes; Take [online] quizzes that subtly ask for information we’ve provided as the answers to security questions on various websites. Snap pictures with our smartphone or digital camera without disabling the geotagging function; Use our email address as a user name/ID, if we have the option to change it; Use PINS like 1234 or a birthday; Go twenty-four hours without reviewing our bank and credit card accounts to make absolutely sure that every transaction we see is familiar; Fail to enroll in free transactional monitoring programs offered by banks, credit unions, and credit card providers that notify us every time there is any activity in our accounts; Use a free Wi-Fi network [i.e. cafés or even airports] without confirming it is correctly identified and secure, to check email or access financial services websites that contain our sensitive data.

Raw data has to be edited, converted to other formats, and linked with other datasets; statistical analysis has to be performed, sometimes with custom software; and plots and tables have to be created from the results. This is often done by hand, with bits of data copied and pasted into different data files and spreadsheets—a tremendously error-prone process. There

The one social factor that researchers agree is consistently linked to longer lives in every country where it has been studied is education. It is more important than race; it obliterates any effects of income.”4

extensive data also suggest a strong link between attention deficit/hyperactivity disorder (ADHD) and processed carbohydrate consumption/insulin production.

Europeana also addresses some of the key obstacles facing the digital heritage industry, including the legal issues that arise about what constitutes the public domain when user engagement meets linked open data.

Social conservatives do have a pretty decent predictive track record, including in many cases where their fears were dismissed as wild and apocalyptic, their projections as sky-is-falling nonsense, their theories of how society and human nature works as evidence-free fantasies. . . . If you look at the post-1960s trend data — whether it’s on family structure and social capital, fertility and marriage rates, patterns of sexual behavior and their links to flourishing relationships, or just trends in marital contentment and personal happiness more generally — the basic social conservative analysis has turned out to have more predictive power than my rigorously empirical liberal friends are inclined to admit. . . . In the late 1960s and early ’70s, the pro-choice side of the abortion debate frequently predicted that legal abortion would reduce single parenthood and make marriages more stable, while the pro-life side made the allegedly-counterintuitive claim that it would have roughly the opposite effect; overall, it’s fair to say that post-Roe trends were considerably kinder to Roe’s critics than to the “every child a wanted child” conceit. Conservatives (and not only conservatives) also made various “dystopian” predictions about eugenics and the commodification of human life as reproductive science advanced in the ’70s, while many liberals argued that these fears were overblown; today, from “selective reduction” to the culling of Down’s Syndrome fetuses to worldwide trends in sex-selective abortion, from our fertility industry’s “embryo glut” to the global market in paid surrogacy, the dystopian predictions are basically just the status quo. No-fault divorce was pitched as an escape hatch for the miserable and desperate that wouldn’t affect the average marriage, but of course divorce turned out to havesocial-contagion effects as well. Religious fears that population control would turn coercive and tyrannical were scoffed at and then vindicated. Dan Quayle was laughed at until the data suggested that basically he had it right. The fairly-ancient conservative premise that social permissiveness is better for the rich than for the poor persistently bemuses the left; it also persistently describes reality. And if you dropped some of the documentation from today’s college rape crisis through a wormhole into the 1960s-era debates over shifting to coed living arrangements on campuses, I’m pretty sure that even many of the conservatives in that era would assume that someone was pranking them, that even in their worst fears it couldn’t possibly end up like this. More broadly, over the last few decades social conservatives have frequently offered “both/and” cultural analyses that liberals have found strange or incredible — arguing (as noted above) that a sexually-permissive society can easily end up with a high abortion rate and a high out-of-wedlock birthrate; or that permissive societies can end up with more births to single parents and fewer births (not only fewer than replacement, but fewer than women actually desire) overall; or that expressive individualism could lead to fewer marriages and greater unhappiness for people who do get hitched. Social liberals, on the other hand, have tended to take a view of human nature that’s a little more positivist and consumerist, in which the assumption is that some kind of “perfectly-liberated decision making” is possible and that such liberation leads to optimal outcomes overall. Hence that 1970s-era assumption that unrestricted abortion would be good for children’s family situations, hence the persistent assumption that marriages must be happier when there’s more sexual experimentation beforehand, etc.

Such revolutions in formal learning and felt experience needed new modes to express their understanding, beyond sonorous Ciceronian periods and the rigid structure of heroic couplets. It needed something looser, longer, and above all historical, which could not only link events, data, ideas, and context through time, but in which history could itself serve as an informing principle. The age craved creation stories in which the logic and moral order were manifest in and through the unfolding of the story.

If we forget to give our measurements in units, or if we are not in agreement over which units we have both used to make our measurements, it is a recipe for disaster. For example, in 1999, the Mars Climate Orbiter space probe was intended to orbit Mars at a low altitude while mapping its surface. It was known that the probe could not get closer than 80 kilometres from the Martian surface or atmospheric stresses would rip it apart. However, the probe actually came within 57 kilometres of the surface and did, indeed, disintegrate. The crash investigators found that the cause of the error was due to the flight system software calculating thrust in metric units, while the ground crew were entering thruster data using imperial measures.

Economics also has to become a fundamentally monetary discipline—from the consideration of how individuals make market decisions through to our understanding of macroeconomics. The myth of "the money illusion" (which can only be true in a world without debt) has to be immediately dispelled, while our macroeconomics have to reflect a monetary economy in which nominal magnitudes matter, precisely because they are the link between the value of current output and the financing of accumulated debt. The dangers of excessive debt and deflation simply cannot be comprehended from a neoclassical perspective. The discipline must also become fundamentally empirical, in contrast to the faux empiricism of econometrics. By this I mean basing itself on the economic and financial data first and foremost—the collection and interpretation of which has been the hallmark of contributions by econophysicists—and by respecting economic history, a topic which has been systematically expunged from economics departments around the world.

It’s important for you to understand that routers, which work at the Network layer, don’t care about where a particular host is located. They’re only concerned about where networks are located and the best way to reach them—including remote ones. Routers are totally obsessive when it comes to networks. And for once, this obsession is a good thing! The Data Link layer is responsible for the unique identification of each device that resides on a local network.

Imagine the kind of quantum leap that human culture would undertake if we were all suddenly given a direct link to the knowledge and experience of everyone else on the planet—if, when we made a decision, we were drawing from not just our own limited experience and expertise but from that of billions of other people. Big data has enabled this quantum leap for the cognitive development of robots.

Doctors and researchers, from local emergency rooms to the Centers for Disease Control (CDC), link the growing use of handheld electronic devices to an alarming increase in injuries to children, especially when parents or caregivers are distracted and fail to properly supervise young children in the moment. The Wall Street Journal, in a roundup of research and interviews with experts on the subject, noted that injuries to children under age five rose 12 percent between 2007 and 2010, after falling for much of the prior decade, according to the most recent data from the CDC.

Correspondingly, despite many decades of expensive and exhaustive research, no specific biological markers or mechanisms have ever been reliably linked with diagnostic labels like schizophrenia or depression, a fact recently acknowledged in the United States by the National Institute of Mental Health.26 Indeed, NIMH announced its intention to “reorient” away from existing psychiatric diagnoses because of their invalidity, preferring to focus on classifications based on genetics and neurobiology (despite the acknowledgement that there is still insufficient data to develop such a system).

Pacifiers are also blamed for delayed language development, which seems logical, too—how's he going to talk with that thing in his mouth?—but there's no evidence for this either. There is evidence that the lack of evidence hasn't stopped people from making the claim: a British speech therapist even admits she was disappointed her study's data showed no link between pacifiers and speech problems. And teeth? Pacifiers only screw up the palate if used past the age of five, well after the vast majority of children have stopped.