Comparative Analysis​ Quotes

You must begin to live your life by doing a comparative analysis between any two events in your life and making sure you are only investing your time into that event which adds more value to your life.

No philosophy, no analysis, no aphorism, be it ever so profound, can compare in intensity and richness of meaning with a properly narrated story.

It is not the universal and the regular that characterize the individual, but rather the unique. He is not to be understood as a recurrent unit but as something unique and singular which in the last analysis can be neither known nor compared with anything else.

So, there’s this hornet’s nest. And there’s this long stick. And then there’s me. How I walk away from all of this will depend on whether I realize that some things go together and some things don’t no matter how hard you try.

Luther, again, always compared the sexual to the excretory impulse, and said that marriage was just as necessary as the emission of urine.

If language arose approximately when sapiens did, then a combination of the fossil record and modern comparative genetic analysis can point us to language’s time of origin.

Therefore, Orientalism is not a mere political subject matter or field that is reflected passively by culture, scholarship, or institutions; nor is it a large and diffuse collection of texts about the Orient; nor is it representative and expressive of some nefarious “Western” imperialist plot to hold down the “Oriental” world. It is rather a distribution of geopolitical awareness into aesthetic, scholarly, economic, sociological, historical, and philological texts; it is an elaboration not only of a basic geographical distinction (the world is made up of two unequal halves, Orient and Occident) but also of a whole series of “interests” which, by such means as scholarly discovery, philological reconstruction, psychological analysis, landscape and sociological description, it not only creates but also maintains; it is, rather than expresses, a certain will or intention to understand, in some cases to control, manipulate, even to incorporate, what is a manifestly different (or alternative and novel) world; it is, above all, a discourse that is by no means in direct, corresponding relationship with political power in the raw, but rather is produced and exists in an uneven exchange with various kinds of power, shaped to a degree by the exchange with power political (as with a colonial or imperial establishment), power intellectual (as with reigning sciences like comparative linguistics or anatomy, or any of the modern policy sciences), power cultural (as with orthodoxies and canons of taste, texts, values), power moral (as with ideas about what “we” do and what “they” cannot do or understand as “we” do). Indeed, my real argument is that Orientalism is—and does not simply represent—a considerable dimension of modern political-intellectual culture, and as such has less to do with the Orient than it does with “our” world.

Everything points to the same conclusion: that Twitter hasn’t so much altered our writing as just gotten it to fit into a smaller place. Looking through the data, instead of a wasteland of cut stumps, we find a forest of bonsai. This kind of in-depth analysis (lexical density, word frequency) hints at the real nature of the transformation under way. The change Twitter has wrought on language itself is nothing compared with the change it is bringing to the study of language. Twitter gives us a sense of words not only as the building blocks of thought but as a social connector, which indeed has been the purpose of language since humanity hunched its way across the Serengeti.

When the researchers compared whether process or analysis was more important in producing good decisions—those that increased revenues, profits, and market share—they found that “process mattered more than analysis—by a factor of six.” Often a good process led to better analysis—for instance, by ferreting out faulty logic.

DURING the whole of a dull, dark, and soundless day in the autumn of the year, when the clouds hung oppressively low in the heavens, I had been passing alone, on horseback, through a singularly dreary tract of country; and at length found myself, as the shades of the evening drew on, within view of the melancholy House of Usher. I know not how it was; but, with the first glimpse of the building, a sense of insufferable gloom pervaded my spirit. I say insufferable; for the feeling was unrelieved by any of that half-pleasurable, because poetic, sentiment, with which the mind usually receives even the sternest natural images of the desolate or terrible. I looked upon the scene before me—upon the mere house, and the simple landscape features of the domain—upon the bleak walls—upon the vacant eye-like windows—upon a few rank sedges—and upon a few white trunks of decayed trees—with an utter depression of soul which I can compare to no earthly sensation more properly than to the after-dream of the reveler upon opium—the bitter lapse into every-day life—the hideous dropping off of the veil. There was an iciness, a sinking, a sickening of the heart—an unredeemed dreariness of thought which no goading of the imagination could torture into aught of the sublime. What was it—I paused to think—what was it that so unnerved me in the contemplation of the House of Usher? It was a mystery all insoluble; nor could I grapple with the shadowy fancies that crowded upon me as I pondered. I was forced to fall back upon the unsatisfactory conclusion that while, beyond doubt, there are combinations of very simple natural objects which have the power of thus affecting us, still the analysis of this power lies among considerations beyond our depth. It was possible, I reflected, that a mere different arrangement of the particulars of the scene, of the details of the picture, would be sufficient to modify, or perhaps to annihilate its capacity for sorrowful impression; and, acting upon this idea, I reined my horse to the precipitous brink of a black and lurid tarn that lay in unruffled luster by the dwelling, and gazed down—but with a shudder even more thrilling than before—upon the remodeled and inverted images of the gray sedge, and the ghastly tree stems, and the vacant and eye-like windows.

Cruelty is especially near the childish character, since the inhibition which restrains the impulse to mastery before it causes pain to others—that is, the capacity for sympathy—develops comparatively late. As we know, a thorough psychological analysis of this impulse has not as yet been successfully accomplished; we may assume that the cruel feelings emanate from the impulse to mastery and appear at a period in the sexual life before the genitals have taken on their later rôle. It then dominates a phase of the sexual life, which we shall later describe as the pregenital organization. Children who are distinguished for evincing especial cruelty to animals and playmates may be justly suspected of intensive and premature sexual activity in the erogenous zones; and in a simultaneous prematurity of all sexual impulses, the erogenous sexual activity surely seems to be primary. The absence of the barrier of sympathy carries with it the danger that the connections between cruelty and the erogenous impulses formed in childhood cannot be broken in later life.

How good a predictor of job productivity is a cognitive test score compared to a job interview? Reference checks? College transcript? The answer, probably surprising to many, is that the test score is a better predictor of job performance than any other single measure. This is the conclusion to be drawn from a meta-analysis on the different predictors of job performance, as shown in the table below.

In my opinion the other affects are also reproductions of very early, perhaps even pre-individual, experiences of vital importance; and I should be inclined to regard them as universal, typical and innate hysterical attacks, as compared to the recently and individually acquired attacks which occur in hysterical neuroses and whose origin and significance as mnemic symbols have been revealed by analysis.

In the first case it emerges that the evidence that might refute a theory can often be unearthed only with the help of an incompatible alternative: the advice (which goes back to Newton and which is still popular today) to use alternatives only when refutations have already discredited the orthodox theory puts the cart before the horse. Also, some of the most important formal properties of a theory are found by contrast, and not by analysis. A scientist who wishes to maximize the empirical content of the views he holds and who wants to understand them as clearly as he possibly can must therefore introduce other views; that is, he must adopt a pluralistic methodology. He must compare ideas with other ideas rather than with 'experience' and he must try to improve rather than discard the views that have failed in the competition. Proceeding in this way he will retain the theories of man and cosmos that are found in Genesis, or in the Pimander, he will elaborate them and use them to measure the success of evolution and other 'modern' views. He may then discover that the theory of evolution is not as good as is generally assumed and that it must be supplemented, or entirely replaced, by an improved version of Genesis. Knowledge so conceived is not a series of self-consistent theories that converges towards an ideal view; it is not a gradual approach to truth. It is rather an ever increasing ocean of mutually incompatible alternatives, each single theory, each fairy-tale, each myth that is part of the collection forcing the others in greater articulation and all of them contributing, via this process of competition, to the development of our consciousness. Nothing is ever settled, no view can ever be omitted from a comprehensive account. Plutarch or Diogenes Laertius, and not Dirac or von Neumann, are the models for presenting a knowledge of this kind in which the history of a science becomes an inseparable part of the science itself - it is essential for its further development as well as for giving content to the theories it contains at any particular moment. Experts and laymen, professionals and dilettani, truth-freaks and liars - they all are invited to participate in the contest and to make their contribution to the enrichment of our culture. The task of the scientist, however, is no longer 'to search for the truth', or 'to praise god', or 'to synthesize observations', or 'to improve predictions'. These are but side effects of an activity to which his attention is now mainly directed and which is 'to make the weaker case the stronger' as the sophists said, and thereby to sustain the motion of the whole.

The faculty of re-solution is possibly much invigorated by mathematical study, and especially by that highest branch of it which, unjustly, and merely on account of its retrograde operations, has been called, as if par excellence, analysis. Yet to calculate is not in itself to analyse. A chess-player, for example, does the one without effort at the other. It follows that the game of chess, in its effects upon mental character, is greatly misunderstood. I am not now writing a treatise, but simply prefacing a somewhat peculiar narrative by observations very much at random; I will, therefore, take occasion to assert that the higher powers of the reflective intellect are more decidedly and more usefully tasked by the unostentatious game of draughts than by a the elaborate frivolity of chess. In this latter, where the pieces have different and bizarre motions, with various and variable values, what is only complex is mistaken (a not unusual error) for what is profound. The attention is here called powerfully into play. If it flag for an instant, an oversight is committed resulting in injury or defeat. The possible moves being not only manifold but involute, the chances of such oversights are multiplied; and in nine cases out of ten it is the more concentrative rather than the more acute player who conquers. In draughts, on the contrary, where the moves are unique and have but little variation, the probabilities of inadvertence are diminished, and the mere attention being left comparatively unemployed, what advantages are obtained by either party are obtained by superior acumen. To be less abstract, let us suppose a game of draughts where the pieces are reduced to four kings, and where, of course, no oversight is to be expected. It is obvious that here the victory can be decided (the players being at all equal) only by some recherché movement, the result of some strong exertion of the intellect. Deprived of ordinary resources, the analyst throws himself into the spirit of his opponent, identifies himself therewith, and not unfrequently sees thus, at a glance, the sole methods (sometime indeed absurdly simple ones) by which he may seduce into error or hurry into miscalculation.

However, rather than blindly following the computer’s recommendations, I would have the computer work in parallel with my own analysis and then compare the two. When the computer’s decision was different from mine, I would examine why. Most of the time, it was because I had overlooked something. In those cases, the computer taught me. But sometimes I would think about some new criteria my system would’ve missed, so I would then teach the computer. We helped each other.

... I was flipping through a National Geographic magazine and I came across an article with this headline: "Women Created Most of the Oldest Known Cave Art Paintings, Suggests a New Analysis of Ancient Handprints. Most Scholars Had Assumed These Ancient Artists Were Predominantly Men, So the Finding Overturns Decades of Archaeological Dogma."... According to the article, Snow "analyzed hand stencils found in eight cave sites in France and Spain. By comparing the relative lengths of certain fingers, Snow determined that three-quarters of the handprints were female. 'There has been a male bias in the literature for a long time,' said Snow... 'People have made a lot of unwarranted assumptions about who made these things, and why."' But Snow suggested that women were involved in every aspect of prehistoric life-from the hunt to the hearth to religious ritual. "It wasn't just a bunch of guys out there chasing bison around," he said." Leaving the Cave - pg. 93

A 2018 meta-analysis of sixty-four earlier studies involving more than five thousand subjects confirms that students learn more effectively if they are asked to explain a concept to themselves than if it is presented to them in other ways. The included studies compared learning outcomes from prompted self-explanation to those produced by a variety of other instructional approaches, including lectures by instructors, solving problems, studying worked problems, and studying text.17

Of the sciences today, quantum physics alone seems to have found its way back to an equitable relationship with metaphors, those fundamental tools of the imagination. The other sciences are occasionally so bound by rational analysis, or so wary of metaphor, that they recognize and denounce anthropomorphism as a kind of intellectual cancer, instead of employing it as a tool of comparative inquiry, which is perhaps the only way the mind works, that parallelism we finally call narrative.

A book is open in front of me and this is what it has to say about the symptoms of morphine withdrawal: '... morbid anxiety, a nervous depressed condition, irritability, weakening of the memory, occasional hallucinations and a mild impairment of consciousness ...' I have not experienced any hallucinations, but I can only say that the rest of this description is dull, pedestrian and totally inadequate. 'Depressed condition' indeed! Having suffered from this appalling malady, I hereby enjoin all doctors to be more compassionate toward their patients. What overtakes the addict deprived of morphine for a mere hour or two is not a 'depressed condition': it is slow death. Air is insubstantial, gulping it down is useless ... there is not a cell in one's body that does not crave ... but crave what? This is something which defies analysis and explanation. In short, the individual ceases to exist: he is eliminated. The body which moves, agonises and suffers is a corpse. It wants nothing, can think of nothing but morphine. To die of thirst is a heavenly, blissful death compared with the craving for morphine. The feeling must be something like that of a man buried alive, clawing at the skin on his chest in the effort to catch the last tiny bubbles of air in his coffin, or of a heretic at the stake, groaning and writhing as the first tongues of flame lick at his feet. Death. A dry, slow death. That is what lurks behind that clinical, academic phrase 'a depressed condition'.

In Darwin's time no serious attempt had been made to examine the manifestations of variability. A vast assemblage of miscellaneous facts could formerly be adduced as seemingly comparable illustrations of the phenomenon "Variation." Time has shown this mass of evidence to be capable of analysis. When first promulgated it produced the impression that variability was a phenomenon generally distributed amongst living things in such a way that the specific divisions must be arbitrary. When this variability is sorted out, and is seen to be in part a result of hybridisation, in part a consequence of the persistence of hybrids by parthenogenetic reproduction, a polymorphism due to the continued presence of individuals representing various combinations of Mendelian allelomorphs, partly also the transient effect of alteration in external circumstances, we see how cautious we must be in drawing inferences as to the indefiniteness of specific limits from a bare knowledge that intermediates exist.

The World Bank provides data on broad money growth for 167 countries for the period between 1960 and 2015. The data for the annual average for all countries is plotted in Figure 6. While the data is not complete for all countries and all years, the average growth of money supply is 32.16% per year per country. The 32.16% figure does not include several hyperinflationary years during which a currency is completely destroyed and replaced by a new one, and so the results of this analysis cannot definitively tell us which currencies fared worst, as some of the most significant data cannot be compared.

I looked upon the scene before me—upon the mere house, and the simple landscape features of the domain—upon the bleak walls—upon the vacant eye-like windows—upon a few rank sedges—and upon a few white trunks of decayed trees—with an utter desperation of soul which I can compare to no earthly sensation more properly than to the afterdream of the reveller upon opium—the bitter lapse into everyday life—the hideous dropping off of the veil. There was an iciness, a sinking, a sickening of the heart—an unredeemed dreariness of thought which no goading of the imagination could torture into aught of the sublime. What was it—I paused to think—what was it that so unnerved me in the contemplation of the House of Usher? It was a mystery all insoluble; nor could I grapple with the shadowy fancies that crowded upon me as I pondered. I was forced to fall back upon the unsatisfactory conclusion, that while, beyond doubt, there are combinations of very simple natural objects which have the power of thus affecting us, still the analysis of this power lies among considerations beyond our depth. It was possible, I reflected, that a mere different arrangement of the particulars of the scene, of the details of the picture, would be sufficient to modify, or perhaps to annihilate its capacity for sorrowful impression; and, acting upon this idea, I reined my horse to the precipitous brink of a black and lurid tarn that lay in unruffled lustre by the dwelling, and gazed down—but with a shudder even more thrilling than before—upon the remodelled and inverted images of the grey sedge, and the ghastly tree-stems, and the vacant and eye-like windows.

Among the most virulent of all such cultural parasite-equivalents is the religion-based denial of organic evolution. About one-half of Americans (46 percent in 2013, up from 44 percent in 1980), most of whom are evangelical Christians, together with a comparable fraction of Muslims worldwide, believe that no such process has ever occurred. As Creationists, they insist that God created humankind and the rest of life in one to several magical mega-strokes. Their minds are closed to the overwhelming mass of factual demonstrations of evolution, which is increasingly interlocked across every level of biological organization from molecules to ecosystem and the geography of biodiversity. They ignore, or more precisely they call it virtue to remain ignorant of, ongoing evolution observed in the field and even traced to the genes involved. Also looked past are new species created in the laboratory. To Creationists, evolution is at best just an unproven theory. To a few, it is an idea invented by Satan and transmitted through Darwin and later scientists in order to mislead humanity. When I was a small boy attending an evangelical church in Florida, I was taught that the secular agents of Satan are extremely bright and determined, but liars all, man and woman, and so no matter what I heard I must stick my fingers in my ears and hold fast to the true faith. We are all free in a democracy to believe whatever we wish, so why call any opinion such as Creationism a virulent cultural parasite-equivalent? Because it represents a triumph of blind religious faith over carefully tested fact. It is not a conception of reality forged by evidence and logical judgment. Instead, it is part of the price of admission to a religious tribe. Faith is the evidence given of a person’s submission to a particular god, and even then not to the deity directly but to other humans who claim to represent the god. The cost to society as a whole of the bowed head has been enormous. Evolution is a fundamental process of the Universe, not just in living organisms but everywhere, at every level. Its analysis is vital to biology, including medicine, microbiology, and agronomy. Furthermore psychology, anthropology, and even the history of religion itself make no sense without evolution as the key component followed through the passage of time. The explicit denial of evolution presented as a part of a “creation science” is an outright falsehood, the adult equivalent of plugging one’s ears, and a deficit to any society that chooses to acquiesce in this manner to a fundamentalist faith.

As was foreshadowed in Paragraphs 1 and 4, Cantor, and Dedekind's near-simultaneous appearance in math is more or less the Newton + Leibniz thing all over again, a sure sign that the Time Was Right for (Infinity)-type sets. Just as striking is the Escherian way the two men's work dovetails. Cantor is able to define and ground the concepts of 'infinite set' and 'transfinite number,' and to establish rigorous techniques for combining and comparing different types of (Infinity)s, which is just where Dedekind's def. of irrationals needs shoring up. Pro quo, the schnitt technique demonstrates that actually-infinite sets can have real utility in analysis. That, in other words, as sensuously and cognitively abstract as they must remain, (Infinity)s can nevertheless function in math as practical abstractions rather than as just weird paradoxical flights of fancy.

Clearly there are limits to the uses of skepticism. There is some cost-benefit analysis which must be applied, and if the comfort, consolation and hope delivered by mysticism and superstition is high, and the dangers of belief comparatively low, should we not keep our misgivings to ourselves? But the issue is tricky. Imagine that you enter a big-city taxicab and the moment you get settled in, the driver begins a harangue about the supposed iniquities and inferiorities of another ethnic group. Is your best course to keep quiet, bearing in mind that silence conveys assent? Or is it your moral responsibility to argue with him, to express outrage, even to leave the cab —because you know that every silent assent will encourage him next time, and every vigorous dissent will cause him next time to think twice? Likewise, if we offer too much silent assent about mysticism and superstition —even when it seems to be doing a little good — we abet a general climate in which skepticism is considered impolite, science tiresome, and rigorous thinking somehow stuffy and inappropriate. Figuring out a prudent balance takes wisdom.

Say what you will of religion, but draw applicable conclusions and comparisons to reach a consensus. Religion = Reli = Prefix to Relic, or an ancient item. In days of old, items were novel, and they inspired devotion to the divine, and in the divine. Now, items are hypnotizing the masses into submission. Take Christ for example. When he broke bread in the Bible, people actually ate, it was useful to their bodies. Compare that to the politics, governments and corrupt, bumbling bureacrats and lobbyists in the economic recession of today. When they "broke bread", the economy nearly collapsed, and the benefactors thereof were only a select, decadent few. There was no bread to be had, so they asked the people for more! Breaking bread went from meaning sharing food and knowledge and wealth of mind and character, to meaning break the system, being libelous, being unaccountable, and robbing the earth. So they married people's paychecks to the land for high ransoms, rents and mortgages, effectively making any renter or landowner either a slave or a slave master once more. We have higher class toys to play with, and believe we are free. The difference is, the love of profit has the potential, and has nearly already enslaved all, it isn't restriced by culture anymore. Truth is not religion. Governments are religions. Truth does not encourage you to worship things. Governments are for profit. Truth is for progress. Governments are about process. When profit goes before progress, the latter suffers. The truest measurement of the quality of progress, will be its immediate and effective results without the aid of material profit. Quality is meticulous, it leaves no stone unturned, it is thorough and detail oriented. It takes its time, but the results are always worth the investment. Profit is quick, it is ruthless, it is unforgiving, it seeks to be first, but confuses being first with being the best, it is long scale suicidal, it is illusory, it is temporary, it is vastly unfulfilling. It breaks families, and it turns friends. It is single track minded, and small minded as well. Quality, would never do that, my friends. Ironic how dealing and concerning with money, some of those who make the most money, and break other's monies are the most unaccountable. People open bank accounts, over spend, and then expect to be held "unaccountable" for their actions. They even act innocent and unaccountable. But I tell you, everything can and will be counted, and accounted for. Peace can be had, but people must first annhilate the love of items, over their own kind.

Believing in race can be compared to believing in astrology. People who have faith in astrology find constant confirmation that horoscope predictions are reliable and that astrological signs determine personality types. For the faithful, the twelve divisions of the zodiac are as accurate as Blumenbach’s five divisions of human beings. The funny thing is, biostatisticians can find significant medical differences according to astrological signs. In the 1990s, a major randomized clinical trial compared the effectiveness of an intravenous drug, an oral aspirin, and a placebo to treat 17,000 patients who were hospitalized with signs of a heart attack. The study found a huge overall statistical benefit for patients who got the aspirin over the placebo. To test the strength of the outcome, the researchers divided the patients into twelve subgroups by their astrological signs. They found that the zodiac made a difference: their statistical analysis showed that patients born under Gemini or Libra suffered an adverse effect from aspirin.72 Unsurprisingly, physicians laughed off this finding because it was more scientifically plausible to interpret the results as an insignificant coincidence. But an astrology enthusiast would take it as proof that zodiac signs determine people’s health and drug response.

Headed, appropriately enough, by the succinct title “BREVITY,” the minute began: “To do our work, we all have to read a mass of papers. Nearly all of them are far too long. This wastes time, while energy has to be spent in looking for the essential points.” He set out four ways for his ministers and their staffs to improve their reports. First, he wrote, reports should “set out the main points in a series of short, crisp paragraphs.” If the report involved discussion of complicated matters or statistical analysis, this should be placed in an appendix. Often, he observed, a full report could be dispensed with entirely, in favor of an aide-mémoire “consisting of headings only, which can be expanded orally if needed.” Finally, he attacked the cumbersome prose that so often marked official reports. “Let us have an end to phrases such as these,” he wrote, and quoted two offenders: “It is also of importance to bear in mind the following considerations…” “Consideration should be given to the possibility of carrying into effect…” He wrote: “Most of these woolly phrases are mere padding, which can be left out altogether, or replaced by a single word. Let us not shrink from using the short expressive phrase, even if it is conversational.” The resulting prose, he wrote, “may at first seem rough as compared with the flat surface of officialese jargon. But the saving of time will be great, while the discipline of setting out the real points concisely will prove an aid to clear thinking.

All analysis is thus a translation, a development into symbols, a representation taken from successive points of view from which are noted a corresponding number of contacts between the new object under consideration and others believed to be already known. In its eternally unsatisfied desire to embrace the object around which it is condemned to turn, analysis multiplies endlessly the points of view in order to complete the ever incomplete representation, varies interminably the symbols with the hope of perfecting the always imperfect translation. It is analysis ad infinitum. But intuition, if it is possible, is a simple act. This being granted, it would be easy to see that for positive science analysis is its habitual function. It works above all with symbols. Even the most concrete of the sciences of nature, the sciences of life, confine themselves to the visible form of living beings, their organs, their anatomical elements. They compare these forms with one another, reduce the more complex to the more simple, in fact they study the functioning of life in what is, so to speak, its visual symbol. If there exists a means of possessing a reality absolutely, instead of knowing it relatively, of placing oneself within it instead of adopting points of view toward it, of having the intuition of it instead of making the analysis of it, in short, of grasping it over and above all expression, translation or symbolical representation, metaphysics is that very means. Metaphysics is therefore the science which claims to dispense with symbols.

I looked upon the scene before me—upon the mere house, and the simple landscape features of the domain—upon the bleak walls—upon the vacant eye-like windows—upon a few rank sedges—and upon a few white trunks of decayed trees—with an utter desperation of soul which I can compare to no earthly sensation more properly than to the afterdream of the reveller upon opium—the bitter lapse into everyday life—the hideous dropping off of the veil. There was an iciness, a sinking, a sickening of the heart—an unredeemed dreariness of thought which no goading of the imagination could torture into aught of the sublime. What was it—I paused to think—what was it that so unnerved me in the contemplation of the House of Usher? It was a mystery all insoluble; nor could I grapple with the shadowy fancies that crowded upon me as I pondered. I was forced to fall back upon the unsatisfactory conclusion, that while, beyond doubt, there are combinations of very simple natural objects which have the power of thus affecting us, still the analysis of this power lies among considerations beyond our depth. It was possible, I reflected, that a mere different arrangement of the particulars of the scene, of the details of the picture, would be sufficient to modify, or perhaps to annihilate its capacity for sorrowful impression; and, acting upon this idea, I reined my horse to the precipitous brink of a black and lurid tarn that lay in unruffled lustre by the dwelling, and gazed down—but with a shudder even more thrilling than before—upon the remodelled and inverted images of the grey sedge, and the ghastly tree-stems, and the vacant and eye-like windows.

1. Set Your Goals Set seven to ten goals you want to achieve for the year. Make them SMARTER: ​‣ ​Specific ​‣ ​Measurable ​‣ ​Actionable ​‣ ​Risky ​‣ ​Time-keyed ​‣ ​Exciting ​‣ ​Relevant Make sure you focus on the Life Domains where you need to see improvement. List just a few per quarter; that way you can concentrate your attention and keep a steady pace throughout the year. 2. Decide on the Right Mix of Achievements and Habits Achievement goals represent one-time accomplishments. Habit goals represent new regular, ongoing activity. Both are helpful for designing your best year ever, but you need to decide on the right balance for your individual needs. The only right answer is the one that works for you. 3. Set Goals in the Discomfort Zone The best things in life usually happen when we stretch ourselves and grow. That’s definitely true for our designing our best year ever. But it runs counter to our instincts, doesn’t it? Follow these four steps to overcome the resistance: Acknowledge the value of getting outside your Comfort Zone. It all starts with a shift in your thinking. Once you accept the value of discomfort, it’s a lot easier going forward. Lean into the experience. Most of the resistance is in our minds, but we need more than a shift in thinking. By leaning in, we’re also shifting our wills. Notice your fear. Negative emotions are sure to well up. Don’t ignore them. Instead, objectify them and compare the feelings to what you want to accomplish. Is the reward greater than the fear? Don’t overthink it. Analysis paralysis is real. But you don’t need to see the end from the beginning or know exactly how a goal will play out. All you need is clarity on your next step.

On Friday, August 9, for example, amid a rising tide of urgent war matters, he found time to address a minute to the members of his War Cabinet on a subject dear to him: the length and writing style of the reports that arrived in his black box each day. Headed, appropriately enough, by the succinct title “BREVITY,” the minute began: “To do our work, we all have to read a mass of papers. Nearly all of them are far too long. This wastes time, while energy has to be spent in looking for the essential points.” He set out four ways for his ministers and their staffs to improve their reports. First, he wrote, reports should “set out the main points in a series of short, crisp paragraphs.” If the report involved discussion of complicated matters or statistical analysis, this should be placed in an appendix. Often, he observed, a full report could be dispensed with entirely, in favor of an aide-mémoire “consisting of headings only, which can be expanded orally if needed.” Finally, he attacked the cumbersome prose that so often marked official reports. “Let us have an end to phrases such as these,” he wrote, and quoted two offenders: “It is also of importance to bear in mind the following considerations…” “Consideration should be given to the possibility of carrying into effect…” He wrote: “Most of these woolly phrases are mere padding, which can be left out altogether, or replaced by a single word. Let us not shrink from using the short expressive phrase, even if it is conversational.” The resulting prose, he wrote, “may at first seem rough as compared with the flat surface of officialese jargon. But the saving of time will be great, while the discipline of setting out the real points concisely will prove an aid to clear thinking.” That evening, as he had done almost every weekend thus far, he set off for the country.

The psychological impact of trauma in both the military and civilian arenas has been documented for well over 100 years [1], but the validity of the traumatic neuroses and their key symptoms have been continuously questioned. This is particularly true for posttraumatic amnesia and therapeutically recovered traumatic memories. Freud’s [2] abandonment of his seduction theory was followed by decades of denial of sexual trauma in the psychoanalytic and broader sociocultural realms [3]. Concomitant negation of posttraumatic symptomatology was noted in regard to the war neuroses, emanating equally from military, medical and social spheres [4]. Thus, Karon and Widener [5] drew attention to professional abandonment of the literature on posttraumatic amnesia in World War II combatants. They considered this to be due to a collective forgetting, comparable to the repression of soldiers, but instead occurring on account of social prejudices. He further noted that the validity of memories was never challenged at the time since there was ample corroborating evidence. Recent research confirms the findings of earlier investigators such as Janet [6], validating posttraumatic amnesia of both civilian and military origin. Van der Hart and Nijenhuis [7] cited clinical studies reporting total amnesia for combat trauma, experiences in Nazi concentration camps, torture and robbery. There is also increasing evidence for the existence of amnesia for child sexual abuse. Thus, Scheflen and Brown [8] concluded from their analysis of 25 empirical studies that such amnesia is a robust finding. Since then, new studies, for example those of Elliott [9], have appeared supporting their conclusion. This paper examines posttraumatic amnesia in World War I (WWI) combatants. The findings are offered as an historical cross-validation of posttraumatic amnesia in all populations, including those subjected to childhood sexual abuse.

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.

In a campaign comparable to modern-day corporate denial of climate change, big business and the legislators in its pocket brushed Powell’s analysis aside. Railroads were not about to capitulate to the geologist’s limited vision, and his plans as director of the U.S. Geological Survey to limit western settlement would be undermined by intense political attacks.21 James B. Power, land agent for the Northern Pacific—who had earlier admitted that Dakota was a “barren desert”—dismissed Powell as an elite intellectual, lacking the experience of “practical men.” “No reliance can be placed upon any of his statements as to the agricultural value of any country,” Power said.22 For good measure, he called the geologist “an ass.

My analysis work proved that there are thirty major reasons for failure, and thirteen major principles through which people accumulate fortunes. In this chapter, a description of the thirty major causes of failure will be given. As you go over the list, check yourself by it, point by point, for the purpose of discovering how many of these causes-of-failure stand between you and success. 1. UNFAVORABLE HEREDITARY BACKGROUND. There is but little, if anything, which can be done for people who are born with a deficiency in brain power. This philosophy offers but one method of bridging this weakness-through the aid of the Master Mind. Observe with profit, however, that this is the ONLY one of the thirty causes of failure which may not be easily corrected by any individual. 2. LACK OF A WELL-DEFINED PURPOSE IN LIFE. There is no hope of success for the person who does not have a central purpose, or definite goal at which to aim. Ninety-eight out of every hundred of those whom I have analyzed, had no such aim. Perhaps this was the 3. LACK OF AMBITION TO AIM ABOVE MEDIOCRITY. We offer no hope for the person who is so indifferent as not to want to get ahead in life, and who is not willing to pay the price. 4. INSUFFICIENT EDUCATION. This is a handicap which maybe overcome with comparative ease. Experience has proven that the best-educated people are often those who are known as "self-made," or self-educated. It takes more than a college degree to make one a person of education. Any person who is educated is one who has learned to get whatever he wants in life without violating the rights of others. Education consists, not so much of knowledge, but of knowledge effectively and persistently APPLIED. Men are paid, not merely for what they know, but more particularly for WHAT THEY DO WITH THAT WHICH THEY KNOW. 5.LACK OF SELF-DISCIPLINE. Discipline comes through self-control. This means that one must control all negative qualities. Before you can control conditions, you must first control yourself. Self-mastery is the hardest job you will ever tackle. If you do not conquer self, you will be conquered by self. You may see at one and the same time both your best friend and your greatest enemy, by stepping in front of a mirror. 6. ILL HEALTH. No person may enjoy outstanding success without good health. Many of the causes of ill health are subject to mastery and control. These, in the main are: a. Overeating of foods not conducive to health b. Wrong habits of thought; giving expression to negatives. c. Wrong use of, and over indulgence in sex. d. Lack of proper physical exercise e. An inadequate supply of fresh air, due to improper breathing.

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.

There are four key steps in a data science study. First, the data must be processed and prepared for analysis. Next, suitable algorithms are shortlisted based on our study’s requirements. Following which, parameters of the algorithms have to be tuned to optimize results. These finally culminate in the building of models that are then compared to select the best one.

Thucydides reflected that human beings are subject to certain behavioral patterns. Again and again they repeat the same actions, unable to stop themselves. Society is slowly built up, then wars come and put all to ruin. Those who promise a solution to this are charlatans, only adding to the destruction, because the only solution to man is the eradication of man. In the final analysis the philanthropist and the misanthrope are two sides of the same coin. While man exists he follows his nature. Thucydides taught this truth, and went to his grave. His history was written, as he said, "for all time." And it is a kind of law of history that the generations most like his own are bound to ignore the significance of what he wrote; for otherwise they would not re-enact the history of Thucydides. But as they become ignorant of his teaching, they fall into disaster spontaneously and without thinking. It is no use arguing with the fools who cannot see the game. Whatever the faults of the United States, the tragic decadence of American liberty is not to be compared with the genocidal machinery of the Eastern Bloc. Dip your sorry head, as you may, in the acid bath of anti-American half-truth and note (if you can) the sorry pips and squeaks of derangement that invariable bubble upward and outward. Major wars are between major powers. This preoccupation with the small, insignificant dictators, terrorists and mullahs will prove fatal. J.R.Nyquist

When the researchers compared whether process or analysis was more important in producing good decisions—those that increased revenues, profits, and market share—they found that “process mattered more than analysis—by a factor of six.” Often a good process led to better analysis—for instance, by ferreting out faulty logic. But the reverse was not true: “Superb analysis is useless unless the decision process gives it a fair hearing.

The initiation undergone by St. John of the Cross was a very high one, and one which Crowley fancied himself to have taken. He makes much of ‘The Wastelands’ and ‘Babe of the Abyss’ and one of his groups was called the Order of the Silver Star after the title of the Tarot Trump of this Path. But initiation is not merely a question of knowing the externals of symbolism, it is a state of being, and anyone can judge for themselves the extent of Crowley’s real condition by comparing his writings with those of St. John of the Cross, who achieved without any advanced knowledge of symbols, secret or otherwise, but purely by faith and spiritual will. An even more revealing and damning analysis would be to compare their lives. It seems necessary to emphasise this, not so much for the doubtful pleasure of kicking a man who is already down, but in order to act as a warning to the many who tend to injure themselves by trying to follow the Crowley system without sufficient knowledge of its pitfalls — some of which, sad to say, seem deliberately placed, either through malice or a misplaced sense of humour.

There are several types of comparative analysis for garnering evidence for an evolutionary adaptation: structural or behavioral resemblance in different phyletic lines owing to ecologically driven functional convergence (analogy), functional transformations from the same ancestral character (homology), functional tradeoffs between traits in the same phyletic line, intrageneric or intrafamilial species comparisons, and ontogenetic development. Analogy (homoplasy) reveals adaptation in similar traits that solve similar environmental problems in phylogenetically unrelated species, for example, the wings of bats and birds and flying insects, the eyes of humans and the octopus, and bipedality in therapods (carnivorous dinosaurs such as Tyrannosaurus) and humans. Homologies

This is, in fact, exactly how electrical engineers go about understanding and debugging circuits such as computer boards (to reverse engineer a competitor’s product, for example), using logic analyzers that visualize computer signals. Neuroscience has not yet had access to sensor technology that would achieve this type of analysis, but that situation is about to change. Our tools for peering into our brains are improving at an exponential pace. The resolution of noninvasive brain-scanning devices is doubling about every twelve months (per unit volume).31 We see comparable improvements in the speed of brain scanning image reconstruction:

Four articles containing 6 comparisons with reporting data on a total of 213 722 participants were included in the meta‐analysis of total meat consumption and stroke incidence.15, 24, 25, 26 The estimated RRs and 95% CIs of total meat intake and stroke incidence comparing the highest versus the lowest category is shown in Figure 2. The results suggest that consumption of total meat is significantly associated with a 9% to 28% increased risk of stroke.

It is worth pondering how much of our struggle with avarice is linked to a tendency to value things solely in terms of their usefulness. When the older generation laments that they are only a burden to society, since they are no longer capable of useful work or productive labor, and their medical care is a constant drain on others’ resources, have they internalized a system of value that measures people’s true worth in terms of a cost–benefit analysis? Time spent with children also becomes “unprofitable” in more than one sense, for we have precious little in the way of tangible payoff to show for such investments. The very use of metaphors of financial transactions to describe personal care for other human beings points to a conceptual framework tilted toward the distortions of avarice. The salary charts for the helping professions, especially compared to the salaries of those who work in financial fields managing investments, also point not so subtly to implicit assumptions of what is truly of value and worth. We are measured by our usefulness, and our usefulness is measured by the production of things and the possession of money. Greed now invades human life and its value in this subtler way as well.

Entering college students show the same trend: in 2016, only 37% said that “becoming successful in a business of my own” was important, down from 50% in 1984 (adjusted for relative centrality). So, compared to GenX college students, iGen’ers are less likely to be drawn to entrepreneurship. These beliefs are affecting actual behavior. A Wall Street Journal analysis of Federal Reserve data found that only 3.6% of households headed by adults younger than 30 owned at least part of a private company in 2013, down from 10.6% in 1989. All the talk about the young generation being attracted to entrepreneurship turns out to be just that—talk.

In Dasent's words I would say: “We must be satisfied with the soup that is set before us, and not desire to see the bones of the ox out of which it has been boiled.” Though, oddly enough, Dasent by “the soup” meant a mishmash of bogus pre-history founded on the early surmises of Comparative Philology; and by “desire to see the bones” he meant a demand to see the workings and the proofs that led to these theories. By “the soup” I mean the story as it is served up by its author or teller, and by “the bones” its sources or material—even when (by rare luck) those can be with certainty discovered. But I do not, of course, forbid criticism of the soup as soup.

Read the notes.Never buy a stock without reading the footnotes to the financial statements in the annual report. Usually labeled “summary of significant accounting policies,” one key note describes how the company recognizes revenue, records inventories, treats installment or contract sales, expenses its marketing costs, and accounts for the other major aspects of its business.7 In the other footnotes, watch for disclosures about debt, stock options, loans to customers, reserves against losses, and other “risk factors” that can take a big chomp out of earnings. Among the things that should make your antennae twitch are technical terms like “capitalized,” “deferred,” and “restructuring”—and plain-English words signaling that the company has altered its accounting practices, like “began,” “change,” and “however.” None of those words mean you should not buy the stock, but all mean that you need to investigate further. Be sure to compare the footnotes with those in the financial statements of at least one firm that’s a close competitor, to see how aggressive your company’s accountants are. Read more. If you are an enterprising investor willing to put plenty of time and energy into your portfolio, then you owe it to yourself to learn more about financial reporting. That’s the only way to minimize your odds of being misled by a shifty earnings statement. Three solid books full of timely and specific examples are Martin Fridson and Fernando Alvarez’s Financial Statement Analysis, Charles Mulford and Eugene Comiskey’s The Financial Numbers Game, and Howard Schilit’s Financial Shenanigans. 8

Why should you hate me, who you do not know? First learn who I am, and then if you have reason, let hate come to the fore. This phrase appeared in my brain after waking from very clear dream in which I was asked in a very nasty manner if I hated the Jewish people, replied to with a straight out “No, I do not.” (See: “Living with ‘the other’” in my blog.)

In answer to: What is rational? (Think Ukraine.) At best you might get a reason (logically (?) expounded to the speaker’s advantage). At worst, almost certainly, a (worse than lame) excuse.

Once I reach my home, I will start reading basic sciences, Texts available right now and hidden somewhere for comparative analysis. Then only I will choose the place to go, But I would like to go to Nalanda somehow but before That I need to assimilate completely, and all necesssary back ground and basic readings and works are needed, Why I again focus on Nalanda means, My previous life ancestary with Rajputs, I love them and hate them . But if I enter Nalanda, That should not affect other people at all. That is why basic readings and comparative analysis is required. I can not read them in Bangalore as it it completely artificial and money minded, so unique and richness of true nature is not here. Real star gazing is required, I e night stars and Morning stars with exteme temperature to withstand, then only whatever I read will show the real meaning and how to manage it without harming others. Whatever I know and ought to know are completely personal. Sancrit if I touch completely it is against my context i e Tamil, But if I do not touch completely it is against my souls journey hereafter. So I have to do comparative analysis before starting Sanskrit again that was forgotten long by me. Yes I made Sanskrit to be forgotten because it is sometimes dangerous. Tamil temples turned into Tamil worships. But I have to read them again to remember. Hidden things.

See others and see yourself.” “See yourself and see others.

In order to assess the effectiveness of their mass-vaccination projects, we would need a disciplined accounting that compares health outcomes in vaccinated populations to similarly situated unvaccinated cohorts. This is the kind of accounting that neither of these men has been willing to provide. The facts suggest that it is the absence of such reliable metrics and science-based analysis that allows Gates and Fauci to get away with their dubious claims about the efficacy and safety of their prescriptions. Any even-handed examination of the role of immunizations in Africa must acknowledge that mass-vaccination programs may serve a larger agenda in which the priorities of power, wealth, and control can eclipse quaint preoccupations with public health. And, once again, it was the Rockefeller Foundation that pioneered germ theory as a foreign policy tool.

Many believe that the law enforcement response is what ended the violence that accompanied the crack era. New research suggests the availability of guns was a more salient variable. Economists Geoffrey Williams and W. Alan Bartley compiled handgun price and production data from the late eighties and early nineties from advertisements in Gun Digest. Comparing that data to crime rates revealed a “supply shock” of low-priced pistols, corresponding to higher levels of gun homicide among young Black men. It turns out, just as crack was exploding, the federal government eased its oversight of the gun industry, and manufacturers kicked up production of cheap firearms, dubbed “Saturday night specials” by law enforcement due to the rate at which they showed up at weekend crime scenes. According to the analysis by Williams and Bartley, production of these guns peaked in 1993, the same year the murder rate peaked nationally. It was product-liability lawsuits, more funding for the Bureau of Alcohol, Tobacco, Firearms, and Explosives, and the Brady Bill that forced a decline in the production of cheap guns, and subsequently in the murder rate.

Sheep and Goats One way of independently checking the results suggested by the hypnosis studies is to examine another form of suggestion, one that is in some ways stronger than conventional hypnotic induction. These are the subtle suggestions induced in us by our culture, our personal experiences, and the beliefs we learned from parents and schools. Together, culture, experience, and beliefs are potent shapers of our sense of reality. They are, in effect, hidden persuaders, powerful reinforcers of our sense of what is real. Our deep beliefs determine what we view as logically reasonable and what we consider to be morally and ethically self-evident. As we’ll explore in more detail in chapter 14, the hidden “hypnosis” of belief actually determines to a greater degree than is commonly known what we can consciously perceive. The hypnosis experiments showed that a slight tweaking of these beliefs resulted in a different performance. Thus, we would expect that people who accept the existence of ESP—for reasons of culture, experience, or belief—will score higher, on average, than people who do not. This turns out to be one of the most consistent experimental effects in psi research. It was whimsically dubbed the “sheep-goat” effect by psychologist Gertrude Schmeidler, who in 1943 proposed that one reason that confirmed skeptics do not report psi experiences is because they subconsciously avoid them.37 People who do report such experiences Schmeidler called the “sheep,” and the skeptics she called the “goats.” These studies typically had people fill in a questionnaire asking about their degree of belief in ESP and about any psi experiences they may have had. On the basis of their responses, participants were classified as either sheep or goats. All participants then took a standardized psi test, like an ESP card test, after which the results of the sheep and goats were compared. The idea was that the performance of the sheep would be significantly better than that of the goats. In 1993, psychologist Tony Lawrence from the University of Edinburgh, Scotland, reported a meta-analysis of all sheep-goat forced-choice experiments conducted between 1943 and 1993. Lawrence found seventy-three published reports by thirty-seven different investigators, involving more than 685,000 guesses produced by forty-five hundred participants. The overall results were strongly in favor of the sheep-goat effect, with believers performing better than disbelievers with odds greater than a trillion to one.

an essay called “The Cognitive Style of PowerPoint: Pitching Out Corrupts Within,” by Edward Tufte, a Yale professor who is an authority on the visualization of information.1 Tufte identified in one sentence the problem we’d been experiencing: “As analysis becomes more causal, multivariate, comparative, evidence based, and resolution-intense,” he writes, “the more damaging the bullet list becomes.” That description fit our discussions at the S-Team meetings: complex, interconnected, requiring plenty of information to explore, with greater and greater consequences connected to decisions. Such analysis is not well served by a linear progression of slides that makes it difficult to refer one idea to another, sparsely worded bits of text that don’t fully express an idea, and visual effects that are more distracting than enlightening. Rather than making things clear and simple, PowerPoint can strip the discussion of important nuance. In our meetings, even when a presenter included supporting information in the notes or accompanying audio, the PowerPoint presentation was never enough.

Princeton University mathematician York Dobyns found that the seven years of new PEAR RNG results closely replicated the preceding three decades of RNG studies reviewed in the meta-analysis.37 That is, our 1989 prediction had been validated. Because the massive PEAR database provides an exceptionally strong confirmation that mind-matter interactions really do exist, we can confidently use it to study some of the factors influencing these effects. Psychologist Roger Nelson and his colleagues found that the main RNG effect for the full PEAR database of 1,262 independent experiments, generated by 108 people, was associated with odds against chance of four thou sand to one.38 He also found that there were no “star” performers—this means that the overall effect reflected an accumulation of small effects from each person rather than a few outstanding results from “special people.” This finding confirms the expectation that mind-matter interaction effects observed in the hundreds of studies collected in the 1989 RNG meta-analysis were part of a widespread ability distributed throughout the population, and were not due to a few psychic “superstars” or a few odd experiments. Further analysis of the PEAR data showed that the results in individual trials were best interpreted as small changes in the probabilities of individual random events rather than as a few instances of wildly large effects. This means that the results cannot be explained by unexpected glitches in the RNG devices, or by strange circumstances in the lab (like a circuit breakdown). Rather, the effects were small but consistent across individual trials, and across different people.39 If we accept that one person can affect the behavior of an RNG, another question naturally arises: would two people together produce a larger effect? The PEAR database included some experiments where cooperating pairs used the same mental intention on the same RNG. Analysis of these data found that, on average, the effects were indeed larger for pairs than for individuals working alone. However, two people didn’t automatically get results that were twice as large as one person’s results. Instead, the composition of the pairs was important in determining the outcome. Same-sex pairs, whether men or women, tended to achieve null or slightly negative outcomes, whereas opposite-sex pairs produced an effect that was approximately twice that of individuals. Moreover, when the pair was a “bonded” couple, such as spouses or close family members, the effect size was more than four times that of individuals. There were also some gender differences. PEAR lab psychologist Brenda Dunne found that women tended to volunteer more time to the experiments, and thus they accumulated about two-thirds of the full database, compared with one-third for men. On the other hand, their effects were smaller on average than those of men, with odds of the difference being due to chance at eight hundred to one.

Doing a break-even analysis: The payoff from different retirement dates A break-even analysis compares what you get in your lifetime if you pick different dates to collect Social Security. It’s a way to estimate your total payoff from retiring at an earlier date (with reduced monthly payments) and retiring at a later date (with higher monthly payments). This approach gets some criticism, because it can lead to a costly decision if you end up living longer than expected. Factors such as your health and other financial resources also should be weighed in deciding when it makes the most sense to claim retirement benefits. But I also know that many people care — understandably! — how much Social Security they may get in a lifetime. In general, if you die before reaching the break-even age, and you started collecting benefits at the earlier date, you come out ahead. If you live beyond your break-even age but started benefits at the later date, you also come out ahead, because those bigger payments add up over time. Where you lose out is if you die before reaching the break-even age (and you started collecting larger benefits at the later date) or if you die after your break-even age (and you started smaller benefits at the earlier date). The break-even approach is a common tool recommended by financial planners, and it can provide perspective. But it’s just one consideration. The more you care about how your benefits add up over a lifetime, the greater weight you may give a break-even calculation. The more you care about ending up with the biggest monthly benefit, the greater weight you may give to delaying your claim for Social Security.

Second, Christian speech verbalizes the apprehended mystery of God by using a distinctive non-representational 'picture-language'. This consists of parables, analogies, metaphors and images piled up in balance with each other, as in the Bible itself (from which this language is first learned), and all pointing to the reality of God's presence and action in order to evoke awareness of it and response to it. Analysis of the functioning of this language is currently in full swing,8 and no doubt much remains to be said. Already, however, the discussion has produced one firm result of major importance — the recognition that the verbal units of Christian speech are 'models', comparable to the thought-models of modern physics.9

Fundamentally, the question was whether national decisions of significant economic import, affecting thousands of citizens, would be governed by Enlightenment science or by huckster fantasy. The outcome was immediately clear to anyone reading the newspapers: fantasy won. In a campaign comparable to modern-day corporate denial of climate change, big business and the legislators in its pocket brushed Powell’s analysis aside. Railroads were not about to capitulate to the geologist’s limited vision, and his plans as director of the U.S. Geological Survey to limit western settlement would be undermined by intense political attacks.21 James B. Power, land agent for the Northern Pacific—who had earlier admitted that Dakota was a “barren desert”—dismissed Powell as an elite intellectual, lacking the experience of “practical men.

Jeff and I often discussed ways to improve the S-Team meetings. Shortly after a particularly difficult presentation in early 2004, we had some downtime on a business flight (no Wi-Fi yet on planes), so we read and discussed an essay called “The Cognitive Style of PowerPoint: Pitching Out Corrupts Within,” by Edward Tufte, a Yale professor who is an authority on the visualization of information.1 Tufte identified in one sentence the problem we’d been experiencing: “As analysis becomes more causal, multivariate, comparative, evidence based, and resolution-intense,” he writes, “the more damaging the bullet list becomes.” That description fit our discussions at the S-Team meetings: complex, interconnected, requiring plenty of information to explore, with greater and greater consequences connected to decisions. Such analysis is not well served by a linear progression of slides that makes it difficult to refer one idea to another, sparsely worded bits of text that don’t fully express an idea, and visual effects that are more distracting than enlightening. Rather than making things clear and simple, PowerPoint can strip the discussion of important nuance. In our meetings, even when a presenter included supporting information in the notes or accompanying audio, the PowerPoint presentation was never enough. Besides, the Amazon audience of tightly scheduled, experienced executives was eager to get to the heart of the matter as quickly as possible. They would pepper the presenter with questions and push to get to the punch line, regardless of the flow of slides. Sometimes the questions did not serve to clarify a point or move the presentation along but would instead lead the entire group away from the main argument. Or some questions might be premature and would be answered in a later slide, thus forcing the presenter to go over the same ground twice.

Fortunately, Marhsall found an eager audience in fellow intellectual Ikle, who recognized at once that ONA's analysis and prescriptions for the Cold War reinforced Reagan's intuitions. Together Ikle and Marshall pressed the military services to build budget plans around 'exploiting opportunities to impose disproportionate costs on the USSE over the long term.' This was Marshall's concept of 'Competitive strategies', which 'depended on identifying areas of comparative US advantage and using them to exploit areas of comparative Soviet weakness or disadvantage.

Greater Observation (Level 1) Effect: User may now detect System creatures up to 50 meters away and is provided an analysis of the subject upon detection. Increased Skill levels may reveal additional System information not normally available. Depending on comparative overall level and Skills in effect, the target of focused Observation may know that the user has gained some level of information. Mana regeneration reduced by 5 Mana per minute permanently.

According to analysis by Noam Wasserman, dean of Yeshiva University’s Business School, co-founder relationships are less stable—that is, more likely to end in breakup—when co-founders are family members or were close friends prior to launching a venture. There are many tempting reasons to start a business with your close friend or family member—for example, you share similar goals and values and already know each other’s strengths, weaknesses, habits, and quirks. However, compared to those who were previously colleagues or strangers, co-founders with close personal bonds find it more difficult to have tough conversations about roles and strategies. They’re afraid that the ensuing conflict might jeopardize their personal relationship.

A subgroup analysis, however, suggests that the preventive benefit is limited to Asian ginseng, which cuts infection risk in half compared to placebo, as opposed to American ginseng, which reduced risk by only 14 percent, not reaching statistical significance.

In 2006 the federal government expended more than $100 million over a five-year period for marriage and fatherhood education. Interestingly, it is not until recently that the United States is doing something that African peoples have been doing for thousands of years through rites of passage programs -- preparing young people for life and the challenges of marriage and family. Because U.S. society generally takes an interventive approach to marriage, where couples seek help after the marriage is in trouble, rather than a preventive proactive approach, where couples are prepared for the challenges of marriage, most people are not prepared for a monogamous marriage, let alone a polygynous one.

In 68 percent of the counties where Tyson operates, per-capita income has grown more slowly than the state average over the last forty years. Tyson counties, in other words, were worse off in terms of income growth than their neighbors, even as Tyson’s profits increased. That analysis excludes the four major metro areas where Tyson has facilities (Chicago, Dallas, Fort Worth, and Houston) because the multitude of other businesses there makes Tyson’s impact harder to detect. But even if those four cities are included, the analysis does not significantly change: In that case, 65 percent of the Tyson counties fared worse that their state’s average. Tyson’s defenders might refute this data by pointing out that the company often operates in impoverished rural areas, which should not be expected to outperform the state average. But the analysis does not compare the overall per-capita income in Tyson counties to the state averages. What this analysis measures is the rate of income growth in Tyson’s counties, compared to the rate of income growth in surrounding counties.

Suraj solar and allied industries, Wework galaxy, 43, Residency Road, Bangalore-560025. Mobile number : +91 808 850 7979 Solar street lights have emerged as a sustainable and efficient lighting solution, harnessing the power of Solar Street Light Price in Bangalore, a city known for its technological advancements and focus on sustainable practices, the adoption of solar street lights has been on the rise. This article delves into the pricing dynamics ofSolar Street Light Price in Bangalore, exploring the factors influencing costs, comparing price ranges, and providing valuable insights for individuals or organizations looking to invest in this eco-friendly lighting option. 1. Introduction to Solar Street Lights Overview of Solar Street Lighting If you've ever walked down a dark street and thought, "Wow, this could really use some more light," then solar street lights are here to save the day. These nifty lights are like your regular street lights but with a green twist – they harness the power of the sun to illuminate your path. Importance of Solar Energy in Street Lighting Solar energy is like that reliable friend who always has your back – it's renewable, sustainable, and abundant. By using solar energy in street lighting, we reduce our dependence on fossil fuels, cut down on electricity bills, and contribute to a cleaner, greener future. Plus, who doesn't love soaking up some vitamin D during the day and then basking in solar-powered light at night? 2. Benefits of Solar Street Lights Energy Efficiency and Cost Savings Picture this: solar street lights gobbling up sunlight during the day, storing it in their metaphorical bellies, and then gleefully lighting up the streets at night without a care in the world. Not only are they energy-efficient, but they also help save on electricity costs in the long run. It's like having your cake and eating it too – or in this case, having your light and saving on bills. Environmental Impact and Sustainability If the planet could talk, it would give a standing ovation to solar street lights. By opting for solar-powered lighting, we reduce carbon emissions, lower our environmental footprint, and take a step towards a more sustainable future. It's basically like hitting the eco-friendly jackpot – brighter streets, happier planet. 3. Factors Affecting Solar Street Light Prices in Bangalore Quality and Brand Reputation Just like choosing between a gourmet burger and a fast-food one, the quality of solar street lights can vary. Brands with a good reputation often come with a higher price tag, but they also offer reliability and performance that's worth the extra dough. Technology and Features From fancy motion sensors to remote-control options, the technology and features packed into solar street lights can influence their prices. It's like picking a smartphone – the more bells and whistles, the higher the cost. But hey, who doesn't love a little extra tech magic in their lighting? 4. Price Range Analysis of Solar Street Light Price in Bangalore bustling city, solar street light prices can vary based on features, quality, and brand. It's like playing a price-matching game where you can find something that still sparkles like a diamond while staying within your budget. Popular Models and Their Prices Bangalore offers a wide range of popular solar street lights at a variety of price points, ranging from sleek, contemporary designs to robust, effective models. There is a solar street light with your name on it, whether you are a tech-savvy enthusiast or a buyer with a tight budget. 5. Tips for Choosing the Right Solar Street Light Considering Your Lighting Needs Prior to entering the solar street light market, consider your lighting requirements.

Knowledge (remember) You know enough to be able to recite knowledge by rote (e.g. you can recite the 15 causes of clubbing) Comprehension (understand) You understand the knowledge, so can explain it to others (e.g. you can explain what clubbing is) Application (apply) You can use the knowledge you have to solve problems (you use your knowledge of clubbing to try and work out why the patient in front of you has clubbed fingers) Analysis (analyse) You can use the knowledge you have to compare and contrast with other knowledge and see how it fits in with other people's assumptions and/or hypotheses (e.g. compare and contrast type 1 and type 2 diabetes; compare and contrast the electron as a particle and the electron as an electromagnetic wave) Synthesis (create) You can use knowledge, integrated with other knowledge, to produce new hypotheses (e.g. you know glucose crosses the placenta and that insulin does not; you know that in diabetes glucose tends to run high, so you hypothesise that the baby of a woman with diabetes will produce high levels of insulin itself and so will be at risk of going ‘hypo’ after birth) Evaluation (evaluate) You use your knowledge to assess, critique or judge others

In Cassandra, however, sorting is by design because you must determine how to compare data for a column family at the time of its creation. The comparator of the column family dictates how the rows are ordered on reads. Additionally, columns are ordered by their column names, also by a comparator.

regression results. Standardized Coefficients The question arises as to which independent variable has the greatest impact on explaining the dependent variable. The slope of the coefficients (b) does not answer this question because each slope is measured in different units (recall from Chapter 14 that b = ∆y/∆x). Comparing different slope coefficients is tantamount to comparing apples and oranges. However, based on the regression coefficient (or slope), it is possible to calculate the standardized coefficient, β (beta). Beta is defined as the change produced in the dependent variable by a unit of change in the independent variable when both variables are measured in terms of standard deviation units. Beta is unit-less and thus allows for comparison of the impact of different independent variables on explaining the dependent variable. Analysts compare the relative values of beta coefficients; beta has no inherent meaning. It is appropriate to compare betas across independent variables in the same regression, not across different regressions. Based on Table 15.1, we conclude that the impact of having adequate authority on explaining productivity is [(0.288 – 0.202)/0.202 =] 42.6 percent greater than teamwork, and about equal to that of knowledge. The impact of having adequate authority is two-and-a-half times greater than that of perceptions of fair rewards and recognition.4 F-Test Table 15.1 also features an analysis of variance (ANOVA) table. The global F-test examines the overall effect of all independent variables jointly on the dependent variable. The null hypothesis is that the overall effect of all independent variables jointly on the dependent variables is statistically insignificant. The alternate hypothesis is that this overall effect is statistically significant. The null hypothesis implies that none of the regression coefficients is statistically significant; the alternate hypothesis implies that at least one of the regression coefficients is statistically significant. The

Note: The median survival time is 5.19. Survival analysis can also examine survival rates for different “treatments” or conditions. Assume that data are available about the number of dependents that each client has. Table 18.3 is readily produced for each subset of this condition. For example, by comparing the survival rates of those with and those without dependents, the probability density figure, which shows the likelihood of an event occurring, can be obtained (Figure 18.5). This figure suggests that having dependents is associated with clients’ finding employment somewhat faster. Beyond Life Tables Life tables require that the interval (time) variable be measured on a discrete scale. When the time variable is continuous, Kaplan-Meier survival analysis is used. This procedure is quite analogous to life tables analysis. Cox regression is similar to Kaplan-Meier but allows for consideration of a larger number of independent variables (called covariates). In all instances, the purpose is to examine the effect of treatment on the survival of observations, that is, the occurrence of a dichotomous event. Figure 18.5 Probability Density FACTOR ANALYSIS A variety of statistical techniques help analysts to explore relationships in their data. These exploratory techniques typically aim to create groups of variables (or observations) that are related to each

regression lines that describe the relationship of the independent variables for each group (called classification functions). The emphasis in discriminant analysis is the ability of the independent variables to correctly predict values of the nominal variable (for example, group membership). Discriminant analysis is one strategy for dealing with dependent variables that are nominal with three or more categories. Multinomial logistic regression and ordinal regression have been developed in recent years to address nominal and ordinal dependent variables in logic regression. Multinomial logistic regression calculates functions that compare the probability of a nominal value occurring relative to a base reference group. The calculation of such probabilities makes this technique an interesting alternative to discriminant analysis. When the nominal dependent variable has three values (say, 1, 2, and 3), one logistic regression predicts the likelihood of 2 versus 1 occurring, and the other logistic regression predicts the likelihood of 3 versus 1 occurring, assuming that “1” is the base reference group.7 When the dependent variable is ordinal, ordinal regression can be used. Like multinomial logistic regression, ordinal regression often is used to predict event probability or group membership. Ordinal regression assumes that the slope coefficients are identical for each value of the dependent variable; when this assumption is not met, multinomial logistic regression should be considered. Both multinomial logistic regression and ordinal regression are relatively recent developments and are not yet widely used. Statistics, like other fields of science, continues to push its frontiers forward and thereby develop new techniques for managers and analysts. Key Point Advanced statistical tools are available. Understanding the proper circumstances under which these tools apply is a prerequisite for using them.

Initially working out of our home in Northern California, with a garage-based lab, I wrote a one page letter introducing myself and what we had and posted it to the CEOs of twenty-two Fortune 500 companies. Within a couple of weeks, we had received seventeen responses, with invitations to meetings and referrals to heads of engineering departments. I met with those CEOs or their deputies and received an enthusiastic response from almost every individual. There was also strong interest from engineers given the task of interfacing with us. However, support from their senior engineering and product development managers was less forthcoming. We learned that many of the big companies we had approached were no longer manufacturers themselves but assemblers of components or were value-added reseller companies, who put their famous names on systems that other original equipment manufacturers (OEMs) had built. That didn't daunt us, though when helpful VPs of engineering at top-of-the-food-chain companies referred us to their suppliers, we found that many had little or no R & D capacity, were unwilling to take a risk on outside ideas, or had no room in their already stripped-down budgets for innovation. Our designs found nowhere to land. It became clear that we needed to build actual products and create an apples-to-apples comparison before we could interest potential manufacturing customers. Where to start? We created a matrix of the product areas that we believed PAX could impact and identified more than five hundred distinct market sectors-with potentially hundreds of thousands of products that we could improve. We had to focus. After analysis that included the size of the addressable market, ease of access, the cost and time it would take to develop working prototypes, the certifications and metrics of the various industries, the need for energy efficiency in the sector, and so on, we prioritized the list to fans, mixers, pumps, and propellers. We began hand-making prototypes as comparisons to existing, leading products. By this time, we were raising working capital from angel investors. It's important to note that this was during the first half of the last decade. The tragedy of September 11, 2001, and ensuing military actions had the world's attention. Clean tech and green tech were just emerging as terms, and energy efficiency was still more of a slogan than a driver for industry. The dot-com boom had busted. We'd researched venture capital firms in the late 1990s and found only seven in the United States investing in mechanical engineering inventions. These tended to be expansion-stage investors that didn't match our phase of development. Still, we were close to the famous Silicon Valley and had a few comical conversations with venture capitalists who said they'd be interested in investing-if we could turn our technology into a website. Instead, every six months or so, we drew up a budget for the following six months. Via a growing network of forward-thinking private investors who could see the looming need for dramatic changes in energy efficiency and the performance results of our prototypes compared to currently marketed products, we funded the next phase of research and business development.

Analysis of Variance (ANOVA)   CHAPTER OBJECTIVES After reading this chapter, you should be able to Use one-way ANOVA when the dependent variable is continuous and the independent variable is nominal or ordinal with two or more categories Understand the assumptions of ANOVA and how to test for them Use post-hoc tests Understand some extensions of one-way ANOVA This chapter provides an essential introduction to analysis of variance (ANOVA). ANOVA is a family of statistical techniques, the most basic of which is the one-way ANOVA, which provides an essential expansion of the t-test discussed in Chapter 12. One-way ANOVA allows analysts to test the effect of a continuous variable on an ordinal or nominal variable with two or more categories, rather than only two categories as is the case with the t-test. Thus, one-way ANOVA enables analysts to deal with problems such as whether the variable “region” (north, south, east, west) or “race” (Caucasian, African American, Hispanic, Asian, etc.) affects policy outcomes or any other matter that is measured on a continuous scale. One-way ANOVA also allows analysts to quickly determine subsets of categories with similar levels of the dependent variable. This chapter also addresses some extensions of one-way ANOVA and a nonparametric alternative. ANALYSIS OF VARIANCE Whereas the t-test is used for testing differences between two groups on a continuous variable (Chapter 12), one-way ANOVA is used for testing the means of a continuous variable across more than two groups. For example, we may wish to test whether income levels differ among three or more ethnic groups, or whether the counts of fish vary across three or more lakes. Applications of ANOVA often arise in medical and agricultural research, in which treatments are given to different groups of patients, animals, or crops. The F-test statistic compares the variances within each group against those that exist between each group and the overall mean: Key Point ANOVA extends the t-test; it is used when the independent variable is

For comparison, we use the Mann-Whitney test to compare the two samples of 10th graders discussed earlier in this chapter. The sum of ranks for the “before” group is 69.55, and for the “one year later group,” 86.57. The test statistic is significant at p = .019, yielding the same conclusion as the independent-samples t-test, p = .011. This comparison also shows that nonparametric tests do have higher levels of significance. As mentioned earlier, the Mann-Whitney test (as a nonparametric test) does not calculate the group means; separate, descriptive analysis needs to be undertaken for that information. A nonparametric alternative to the paired-samples t-test is the Wilcoxon signed rank test. This test assigns ranks based on the absolute values of these differences (Table 12.5). The signs of the differences are retained (thus, some values are positive and others are negative). For the data in Table 12.5, there are seven positive ranks (with mean rank = 6.57) and three negative ranks (with mean rank = 3.00). The Wilcoxon signed rank test statistic is normally distributed. The Wilcoxon signed rank test statistic, Z, for a difference between these values is 1.89 (p = .059 > .05). Hence, according to this test, the differences between the before and after scores are not significant. Getting Started Calculate a t-test and a Mann-Whitney test on data of your choice. Again, nonparametric tests result in larger p-values. The paired-samples t-test finds that p = .038 < .05, providing sufficient statistical evidence to conclude that the differences are significant. It might also be noted that a doubling of the data in Table 12.5 results in finding a significant difference between the before and after scores with the Wilcoxon signed rank test, Z = 2.694, p = .007. Table 12.5 Wilcoxon Signed Rank Test The Wilcoxon signed rank test can also be adapted as a nonparametric alternative to the one-sample t-test. In that case, analysts create a second variable that, for each observation, is the test value. For example, if in Table 12.5 we wish to test whether the mean of variable “before” is different from, say, 4.0, we create a second variable with 10 observations for which each value is, say, 4.0. Then using the Wilcoxon signed rank test for the “before” variable and this new,

Without an alternative world against which he can measure, compare and contrast his own, without an example of what natural perfection would actually look like, sound like, smell and taste like, the thinking man—the inquisitive risen ape—is rendered fundamentally incapable of ever faithfully auditing the cell he calls his garden, and with that disability entrenched, his blindness is near complete. The world is as it is. Things are the way they are. You make do with what you have, lust for the things you do not, cut off your arm—if you must—to save your life , and strive for some future you desire, or at the very least believe possible, because in the final analysis, “I don’t want to be here,” means very, very little if there is nowhere else to be.

different from 3.5. However, it is different from larger values, such as 4.0 (t = 2.89, df = 9, p = .019). Another example of this is provided in the Box 12.2. Finally, note that the one-sample t-test is identical to the paired-samples t-test for testing whether the mean D = 0. Indeed, the one-sample t-test for D = 0 produces the same results (t = 2.43, df = 9, p = .038). In Greater Depth … Box 12.2 Use of the T-Test in Performance Management: An Example Performance benchmarking is an increasingly popular tool in performance management. Public and nonprofit officials compare the performance of their agencies with performance benchmarks and draw lessons from the comparison. Let us say that a city government requires its fire and medical response unit to maintain an average response time of 360 seconds (6 minutes) to emergency requests. The city manager has suspected that the growth in population and demands for the services have slowed down the responses recently. He draws a sample of 10 response times in the most recent month: 230, 450, 378, 430, 270, 470, 390, 300, 470, and 530 seconds, for a sample mean of 392 seconds. He performs a one-sample t-test to compare the mean of this sample with the performance benchmark of 360 seconds. The null hypothesis of this test is that the sample mean is equal to 360 seconds, and the alternate hypothesis is that they are different. The result (t = 1.030, df = 9, p = .330) shows a failure to reject the null hypothesis at the 5 percent level, which means that we don’t have sufficient evidence to say that the average response time is different from the benchmark 360 seconds. We cannot say that current performance of 392 seconds is significantly different from the 360-second benchmark. Perhaps more data (samples) are needed to reach such a conclusion, or perhaps too much variability exists for such a conclusion to be reached. NONPARAMETRIC ALTERNATIVES TO T-TESTS The tests described in the preceding sections have nonparametric alternatives. The chief advantage of these tests is that they do not require continuous variables to be normally distributed. The chief disadvantage is that they are less likely to reject the null hypothesis. A further, minor disadvantage is that these tests do not provide descriptive information about variable means; separate analysis is required for that. Nonparametric alternatives to the independent-samples test are the Mann-Whitney and Wilcoxon tests. The Mann-Whitney and Wilcoxon tests are equivalent and are thus discussed jointly. Both are simplifications of the more general Kruskal-Wallis’ H test, discussed in Chapter 11.19 The Mann-Whitney and Wilcoxon tests assign ranks to the testing variable in the exact manner shown in Table 12.4. The sum of the ranks of each group is computed, shown in the table. Then a test is performed to determine the statistical significance of the difference between the sums, 22.5 and 32.5. Although the Mann-Whitney U and Wilcoxon W test statistics are calculated differently, they both have the same level of statistical significance: p = .295. Technically, this is not a test of different means but of different distributions; the lack of significance implies that groups 1 and 2 can be regarded as coming from the same population.20 Table 12.4 Rankings of

My intention is not to define a perfect life and then cause an unhappy analysis of what you are not doing correctly or are incapable of doing.

Like all things organically formed, there does exist a harmony, interrelated patterns, intuitive logic, and purpose, but these are subtle and you can’t find them exclusively by emotional or intellectual analysis. At first glance it’s all too complex and liquid-like, and our minds and emotions look for control and relief. To know water, you have to get wet; you can’t just sit back and analyze its components. So, do try to enjoy the swim, and don’t be afraid to just sit back and drink now and then—the water’s clean.

Oddly, Orkut became a sensation in Brazil. “In Brazil, Orkut is the Internet and Google is search,” wrote one local journalist, who added that using Orkut was “like putting sugar in your coffee, watching Globo telenovelas, or heading to the beach from Christmas to Carnival.” On a trip to Brazil in 2006, Sergey Brin was asked why, and he responded, “We don’t know—what do you think?” When pressed, Googlers would refer to stereotypes of Carioca sociability, but that didn’t sufficiently explain why Orkut became the social networking choice of this country over other competitors—or why Orkut was so badly left behind in the rest of the world. Marissa Mayer’s personal analysis was based on the Google yardstick of speed. Brazilians, she says, were used to lousy Internet service and thus more tolerant of the delays. “They would just keep sitting there and waiting,” she says. Orkut was also dominant in India, where it was the number one Google service—ahead of search and Gmail. “There is no second product in India—Orkut is dominant,” said Manu Rekhi, the Orkut India product manager, in 2007. “I’ve seen beggar kids who use their money to get on Orkut.” Mayer also attributed that success to its quick response compared to other services. “Do you know why Orkut took off in India?” she would ask. “Opposite time zone, and no load on the servers at night. Speed matters.” (Why Orkut ruled in Brazil, however, was a mystery never solved.)

What is ‘beginner’s luck’?  What are the explanations of some of the eternal burning questions presented to the universe by mankind? What is the meaning of life?  Why are we here? As the reader peruses through the pages of ‘The Alchemist’ written by Paulo Coelho, theories of these ancient questions are presented in a manner resembling a parable and comparative in shaping one’s way of thinking to Aesop’s fables.

International labor mobility What’s the problem? Increased levels of migration from poor to rich countries would provide substantial benefits for the poorest people in the world, as well as substantial increases in global economic output. However, almost all developed countries pose heavy restrictions on who can enter the country to work. Scale: Very large. Eighty-five percent of the global variation in earnings is due to location rather than other factors: the extremely poor are poor simply because they don’t live in an environment that enables them to be productive. Economists Michael Clemens, Claudio Montenegro, and Lant Pritchett have estimated what they call the place premium—the wage gain for foreign workers who move to the United States. For an average person in Haiti, relocation to the United States would increase income by about 680 percent; for a Nigerian, it would increase income by 1,000 percent. Some other developing countries have comparatively lower place premiums, but they are still high enough to dramatically benefit migrants. Most migrants would also earn enough to send remittances to family members, thus helping many of those who do not migrate. An estimated six hundred million people worldwide would migrate if they were able to. Several economists have estimated that the total economic gains from free mobility of labor across borders would be greater than a 50 percent increase in world GDP. Even if these estimates were extremely optimistic, the economic gains from substantially increased immigration would be measured in trillions of dollars per year. (I discuss some objections to increased levels of immigration in the endnotes.) Neglectedness: Very neglected. Though a number of organizations work on immigration issues, very few focus on the benefits to future migrants of relaxing migration policy, instead focusing on migrants who are currently living in the United States. Tractability: Not very tractable. Increased levels of immigration are incredibly unpopular in developed countries, with the majority of people in Germany, Italy, the Netherlands, Norway, Sweden, and the United Kingdom favoring reduced immigration. Among developed countries, Canada is most sympathetic to increased levels of immigration; but even there only 20 percent of people favor increasing immigration, while 42 percent favor reducing it. This makes political change on this issue in the near term seem unlikely. What promising organizations are working on it? ImmigrationWorks (accepts donations) organizes, represents, and advocates on behalf of small-business owners who would benefit from being able to hire lower-skill migrant workers more easily, with the aim of “bringing America’s annual legal intake of foreign workers more realistically into line with the country’s labor needs.” The Center for Global Development (accepts donations) conducts policy-relevant research and policy analysis on topics relevant to improving the lives of the global poor, including on immigration reform, then makes recommendations to policy makers.

it is not uncommon for experts in DNA analysis to testify at a criminal trial that a DNA sample taken from a crime scene matches that taken from a suspect. How certain are such matches? When DNA evidence was first introduced, a number of experts testified that false positives are impossible in DNA testing. Today DNA experts regularly testify that the odds of a random person’s matching the crime sample are less than 1 in 1 million or 1 in 1 billion. With those odds one could hardly blame a juror for thinking, throw away the key. But there is another statistic that is often not presented to the jury, one having to do with the fact that labs make errors, for instance, in collecting or handling a sample, by accidentally mixing or swapping samples, or by misinterpreting or incorrectly reporting results. Each of these errors is rare but not nearly as rare as a random match. The Philadelphia City Crime Laboratory, for instance, admitted that it had swapped the reference sample of the defendant and the victim in a rape case, and a testing firm called Cellmark Diagnostics admitted a similar error.20 Unfortunately, the power of statistics relating to DNA presented in court is such that in Oklahoma a court sentenced a man named Timothy Durham to more than 3,100 years in prison even though eleven witnesses had placed him in another state at the time of the crime. It turned out that in the initial analysis the lab had failed to completely separate the DNA of the rapist and that of the victim in the fluid they tested, and the combination of the victim’s and the rapist’s DNA produced a positive result when compared with Durham’s. A later retest turned up the error, and Durham was released after spending nearly four years in prison.21 Estimates of the error rate due to human causes vary, but many experts put it at around 1 percent. However, since the error rate of many labs has never been measured, courts often do not allow testimony on this overall statistic. Even if courts did allow testimony regarding false positives, how would jurors assess it? Most jurors assume that given the two types of error—the 1 in 1 billion accidental match and the 1 in 100 lab-error match—the overall error rate must be somewhere in between, say 1 in 500 million, which is still for most jurors beyond a reasonable doubt. But employing the laws of probability, we find a much different answer. The way to think of it is this: Since both errors are very unlikely, we can ignore the possibility that there is both an accidental match and a lab error. Therefore, we seek the probability that one error or the other occurred. That is given by our sum rule: it is the probability of a lab error (1 in 100) + the probability of an accidental match (1 in 1 billion). Since the latter is 10 million times smaller than the former, to a very good approximation the chance of both errors is the same as the chance of the more probable error—that is, the chances are 1 in 100. Given both possible causes, therefore, we should ignore the fancy expert testimony about the odds of accidental matches and focus instead on the much higher laboratory error rate—the very data courts often do not allow attorneys to present! And so the oft-repeated claims of DNA infallibility are exaggerated.

Note that the hash function you pass will be compared by identity to that of other RDDs. If you want to partition multiple RDDs with the same partitioner, pass the same function object (e.g., a global function) instead of creating a new lambda for each one!

This is a miracle of coevolution—the bacteria that coexist with us in our bodies enable us to exist. Microbiologist Michael Wilson notes that “each exposed surface of a human being is colonized by microbes exquisitely adapted to that particular environment.”21 Yet the dynamics of these microbial populations, and how they interact with our bodies, are still largely unknown. A 2008 comparative genomics analysis of lactic acid bacteria acknowledges that research is “just now beginning to scratch the surface of the complex relationship between humans and their microbiota.”22 Bacteria are such effective coevolutionary partners because they are highly adaptable and mutable. “Bacteria continually monitor their external and internal environments and compute functional outputs based on information provided by their sensory apparatus,” explains bacterial geneticist James Shapiro, who reports “multiple widespread bacterial systems for mobilizing and engineering DNA molecules.”23 In contrast with our eukaryotic cells, with fixed genetic material, prokaryotic bacteria have free-floating genes, which they frequently exchange. For this reason, some microbiologists consider it inappropriate to view bacteria as distinct species. “There are no species in prokaryotes,” state Sorin Sonea and Léo G. Mathieu.24 “Bacteria are much more of a continuum,” explains Lynn Margulis. “They just pick up genes, they throw away genes, and they are very flexible about that.”25 Mathieu and Sonea describe a bacterial “genetic free market,” in which “each bacterium can be compared to a two-way broadcasting station, using genes as information molecules.” Genes “are carried by a bacterium only when needed . . . as a human may carry sophisticated tools.”26

When the researchers compared whether process or analysis was more important in producing good decisions—those that increased revenues, profits, and market share—they found that “process mattered more than analysis—by a factor of six.” Often a good process led to better analysis—for instance, by ferreting out faulty logic. But the reverse was not true: “Superb analysis is useless unless the decision process gives it a fair hearing.” To

In some circumstances manual testing becomes more efficient than automated testing; it takes much more time to generate automated test scripts compared to running test cases manually. Especially in time-sensitive, fast-track projects, this results in a weird situation of coding around bugs instead of finding and fixing them. Project managers and QA managers should consider this issue as a project risk. They should mitigate this risk by determining the right level of test automation. Shelfware

Conversely, the release of elements or cell lysis associated with the coagulation cascade is responsible for the increase in potassium (±6%), inorganic phosphate (±11%), ammonia (±38%), and lactate (±22%) in serum compared to plasma [9]. Furthermore, anticoagulants, preservatives, and other additives that aid or inhibit coagulation may interfere with the assay, as discussed later. Also, the presence of fibrinogen may interfere with chromatic detection or binding in immunoassays or the appearance of a peak that may simulate a false monoclonal protein in the gamma region during protein electrophoresis [9,10]. Serum Versus Plasma for Clinical Laboratory Tests There are many advantages to using plasma over serum for clinical laboratory analysis. However, for some analytes, serum is preferred over plasma. These issues are addressed in this section.

My next suggestion for breaking from the past is perhaps the strangest: Use a random process to generate and select decision alternatives. Sometimes it is better to ignore the traditional decision-making process, where people spend a great deal of time comparing the pros and cons of each alternative. Writers from Benjamin Franklin to modern decision theorists have shown how, by decomposing a complex problem into simpler elements, the problem as a whole can be better understood, and better decisions can be made. As one team of researchers put it,“the terms decision theory and decision analysis describe a myriad of theoretical formulations; an assumption made by most of these approaches is that decisions are best made deliberately, objectively, and with reflection.”26 But these methods, while effective, have a troubling limitation: No matter how hard people try not to think about their past experiences, irrational prejudices, and personal preferences, much research shows that these and a host of other biases have powerful effects. These biases shape—in often suboptimal ways—which decision alternatives are generated, which decision criteria are applied, and which decisions are ultimately made and implemented.

analysis (Reynolds and Smith 1994), I have composited the SSTA changes following the three equatorial types of WWEs (W, C and E), between 1986 and 1998. These changes were compared

No science and no analysis of the future consequences of various actions taken today can in itself tell us what to do. We need, in addition, to factor in what kind of future we value, and to what extent we care at all about the future compared to more immediate concerns here and now. The later aspect is usually modeled and economics by the so-called discount rate, which has played a prominent role in discussions of climate change on a decadal and centennial time scale, but hardly at all in the context of longer perspectives or the various radical technologies[.] We are less used to thinking about ethical issues on long time scales, so our intuitions trying to fail us and lead to paradoxes. These issues need to be resolved, because dodging the bullet would in my opinion be unacceptably irresponsible.

Based on a new analysis, the health benefits of having a drink a day may be exaggerated, UK researchers say. Only women over age 65, if anyone, might get a protective effect from light drinking, compared to people who never drank, the study found.

If you accept my analysis, it follows that a “good congregational song” is one that is excellent and has integrity in terms of its own genre , in its words, music, and interaction between them. It makes no sense to compare hymns, choruses, rounds and refrains and declare that one genre is superior or inferior to another. It also follows that a single genre can include varying musical styles, as with “Taizé” and “evangelical” choruses.

hemisphere dominates for speech, writing, mathematical ability, logic and analysis. The right hemisphere dominates for perception, spatial ability, musical and artistic abilities, imagery and dreaming. The right hemisphere also seems to be more emotional and negative compared to the positive and rational left hemisphere.

The scientific gauge is quantity: space, size, and strength of forces can all be reckoned numerically. The comparable "yardstick" in the traditional hierarchy was quality. It had, over the millennia, two distinct readings that overlapped. To the popular mind it meant essentially euphoria: better meant happier, worse less happy. Reflective minds, on the other hand, considered happiness to be only an aspect of quality, not its defining feature. The word "significance" points us in the direction of the feature they considered fundamental, but significance too was derivative. It was taken for granted that the higher worlds abounded in meaning, significance, and importance, but this was because they were saturated with Being and were therefore more real. *Sat*, *Chit*, *Ananda*: Being, Awareness, and Bliss. All three pertained, but Being, being basic, came first. In the last analysis, the scale in the traditional hierarchy was ontological." —from_The Forgotten Truth_

One sign of the strength of the connection between mind and body is the finding, in an analysis of more than one hundred studies linking emotions and health, that people who are chronically distressed—whether anxious and worried, depressed and pessimistic, or angry and hostile—have double the average risk of getting a major disease in the ensuing years. Smoking increases the risk of serious disease by 60 percent; chronic emotional distress by 100 percent. This makes distressing emotion almost double the health risk compared with smoking.

[...] These observations will allow us to understand more precisely in what sense one can say, as we did at the beginning, that the limits of the indefinite can never be reached through any analytical procedure, or, in other words, that the indefinite, while not absolutely and in every way inexhaustible, is at least analytically inexhaustible. In this regard, we must naturally consider those procedures analytical which ,in order to reconstitute a whole, consist in taking its elements distinctly and successively; such is the procedure for the formation of an arithmetical sum, and it is precisely in this regard that it differs essentially from integration. This is particularly interesting from our point of view, for one can see in it, as a very clear example, the true relationship between analysis and synthesis: contrary to current opinion, accordng to which analysis is as it were a preparation for synthesis, or again something leading to it, so much so that one must always begin with analysis, even when one does not intend to stop there, the truth is that one can never actually arrive at synthesis through analysis. All synthesis, in the true sense of the word, is something immediate, so to speak, something that is not preceded by any analysis and is entirely indfependent of it, just as integration is an operation carried out in a single stroke, by no means presupposing the consideration of elements comparable to those of an arithmetical sum; and as this arithmetical sum can yield no means of attaining and exhausting the indefinite, this latter must, in every domain, be one of those things that by their very nature resist analysis and can be known only through synthesis.[3] [3]Here, and in what follows, it should be understood that we take the terms 'analysis' and 'synthesis' in their true and original sense, and one must indeed take care to distinguish this sense from the completely different and quite improper sense in which one currently speaks of 'mathematical analysis', according to which integration itself, despite its essentially synthetic character, is regarded as playing a part in what one calls 'infinitesimal analysis'; it is for this reason, moreorever, that we prefer to avoid using this last expression, availing ourselves only of those of 'the infinitesimal calculus' and 'the infinitesimal method', which lead to no such equivocation.

The measure of a man is what he does with power. — Plato Whether in power or not, one’s attitude is one’s measure. — Ehsan Sehgal 30–06–2024 Comparison by ChatGPT “Both quotes explore the theme of evaluating a person’s character, but they focus on different aspects of this evaluation. Plato’s Quote “The measure of a man is what he does with power.” Focus on Actions with Power: Plato emphasizes the importance of how a person acts when they have power. It suggests that true character is revealed when one has the ability to influence and control others. Implication of Responsibility: The quote implies that power comes with responsibility, and how one handles this responsibility is a true test of their moral and ethical values. Situational Test: It implies a situational test of character, suggesting that power can either corrupt or reveal integrity. Ehsan Sehgal’s Quote “Whether in power or not, one’s attitude is one’s measure.” Focus on Attitude: Sehgal highlights the importance of a person’s attitude regardless of their position of power. It suggests that character is consistent and not solely dependent on external circumstances. Consistency in Character: This quote implies that a person’s true measure is their attitude, which should remain steady whether they are in a position of power or not. Internal Test: It focuses on an internal, ongoing test of character, suggesting that one’s measure is constant and inherent. Comparative Analysis Scope of Evaluation: Plato: Evaluates character in specific circumstances (when in power). Sehgal: Evaluates character universally, in all circumstances (in power or not). Key Determinants: Plato: Actions and decisions made with power. Sehgal: Attitude and inherent disposition. Nature of Test: Plato: Situational and external (dependent on having power). Sehgal: Continuous and internal (consistent regardless of power). Conclusion Plato’s quote suggests that the true test of character is how one wields power, indicating a moment of truth when one has authority. Sehgal’s quote, on the other hand, emphasizes a constant measure of character through one’s attitude, suggesting that true character is evident at all times, independent of one’s power status. Both perspectives are valuable, providing insights into different aspects of human character and integrity.” Comparison by Copilot “Both Plato and Ehsan Sehgal offer insightful perspectives on the measure of a person. Plato suggests that a person’s true character is revealed through their actions when they hold power. In contrast, Ehsan Sehgal emphasizes that attitude, regardless of one’s position, serves as a fundamental measure of character. It’s a thought-provoking comparison!