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“The abduction and murder of a child by a stranger is among the most horrific crimes one can imagine. It is also, thankfully, among the rarest. According to the FBI, almost 90% of children who go missing have either miscommunicated their plans, misunderstood directions, or runaway from home or foster care, and 99.8% of the time, missing children come home. The vast majority of those who are abducted are taken by a biological parent who does not have custody; the number abducted by a stranger is a tiny fraction of 1% of children reported missing- roughly one hundred children per year in a nation with more than 70 million minors. And since the 1990s, the rates of all crimes against children have gone down, while the chances of a kidnapped child surviving the ordeal have gone up.”

“Lilah did little more than sleep and eat and cry, which to me was the most fascinating thing in the entire universe. Why did she cry? When did she sleep? What made her eat a lot one day and little the next? Was she changing with time? I did what any obsessed person would do in such a case: I recorded data, plotted it, calculated statistical correlations. First I just wrote on scraps of paper and made charts on graph paper, but I very quickly became more sophisticated. I wrote computer software to make a beautifully colored plot showing times when Diane fed Lilah, in black; when I fed her, in blue (expressed mother's milk, if you must know); Lilah's fussy times, in angry red; her happy times, in green. I calculated patterns in sleeping times, eating times, length of sleep, amounts eaten. Then, I did what any obsessed person would do these days; I put it all on the Web.”

“In the midst of World War II, Quincy Wright, a leader in the quantitative study of war, noted that people view war from contrasting perspectives: “To some it is a plague to be eliminated; to others, a crime which ought to be punished; to still others, it is an anachronism which no longer serves any purpose. On the other hand, there are some who take a more receptive attitude toward war, and regard it as an adventure which may be interesting, an instrument which may be legitimate and appropriate, or a condition of existence for which one must be prepared” Despite the millions of people who died in that most deadly war, and despite widespread avowals for peace, war remains as a mechanism of conflict resolution. Given the prevalence of war, the importance of war, and the enormous costs it entails, one would assume that substantial efforts would have been made to comprehensively study war. However, the systematic study of war is a relatively recent phenomenon. Generally, wars have been studied as historically unique events, which are generally utilized only as analogies or examples of failed or successful policies. There has been resistance to conceptualizing wars as events that can be studied in the aggregate in ways that might reveal patterns in war or its causes. For instance, in the United States there is no governmental department of peace with funding to scientifically study ways to prevent war, unlike the millions of dollars that the government allocates to the scientific study of disease prevention. This reluctance has even been common within the peace community, where it is more common to deplore war than to systematically figure out what to do to prevent it. Consequently, many government officials and citizens have supported decisions to go to war without having done their due diligence in studying war, without fully understanding its causes and consequences. The COW Project has produced a number of interesting observations about wars. For instance, an important early finding concerned the process of starting wars. A country’s goal in going to war is usually to win. Conventional wisdom was that the probability of success could be increased by striking first. However, a study found that the rate of victory for initiators of inter-state wars (or wars between two countries) was declining: “Until 1910 about 80 percent of all interstate wars were won by the states that had initiated them. . . . In the wars from 1911 through 1965, however, only about 40 percent of the war initiators won.” A recent update of this analysis found that “pre-1900, war initiators won 73% of wars. Since 1945 the win rate is 33%.”. In civil war the probability of success for the initiators is even lower. Most rebel groups, which are generally the initiators in these wars, lose. The government wins 57 percent of the civil wars that last less than a year and 78 percent of the civil wars lasting one to five years. So, it would seem that those initiating civil and inter-state wars were not able to consistently anticipate victory. Instead, the decision to go to war frequently appears less than rational. Leaders have brought on great carnage with no guarantee of success, frequently with no clear goals, and often with no real appreciation of the war’s ultimate costs. This conclusion is not new. Studying the outbreak of the first carefully documented war, which occurred some 2,500 years ago in Greece, historian Donald Kagan concluded: “The Peloponnesian War was not caused by impersonal forces, unless anger, fear, undue optimism, stubbornness, jealousy, bad judgment and lack of foresight are impersonal forces. It was caused by men who made bad decisions in difficult circumstances.” Of course, wars may also serve leaders’ individual goals, such as gaining or retaining power. Nonetheless, the very government officials who start a war are sometimes not even sure how or why a war started.”

“To a statistician, these numbers cannot be used to confirm anything, and so are valueless, because they are chance dispersions. But on psychological grounds I have discarded the idea that we are dealing with mere chance numbers. In a total picture of natural events, it is just as important to consider the exceptions to the rule as the averages. This is the fallacy of the statistical picture: it is one sided, inasmuch as is represents only the average aspect of reality and excludes the total picture. The statistical view of the world is a mere abstraction and their food incomplete and even fallacious, particularly so when it deals with man's psychology.”

“A more serious consequence of the illusion of control is revealed in our preference for driving over flying. At least part of this irrational—from a survival point of view—habit is due to the fact that we “feel in control” when driving, but not when flying. The probability of dying in a cross-country flight is approximately equal to the probability of dying in a 12-mile drive— in many cases, the most dangerous part of the trip is over when you reach the airport (Sivak & Flannagan, 2003). Gerd Gigerenzer (2006) estimates that the post-9/11 shift from flying to driving in the United States resulted in an additional 1,500 deaths, beyond the original 3,000 immediate victims of the terrorist attacks.”

“Another situation in which we attend to base rates occurs if people ascribe some causal significance to discrepant rates. When they can see the causal relevance of the base rates, they often incorporate them into their reasoning. For example, the belief that one bus company has more accidents than another because its drivers are more poorly selected and trained will influence mock jurors to take this difference in accident rates into account in evaluating eyewitness testimony; but belief that a bus company has more accidents simply because it is larger will not. Study after study has shown that when these rates are merely statistical as opposed to causal, they tend to be ignored. Exactly the same effect seems to occur in real courtrooms; naked statistical evidence is notoriously unpersuasive.”

“The USA utility power generation industry subcontracts out their dangerous jobs so that the bad statisitics will not be associated with them. Smart people avoid working for the subcontractors. I have worked directly for a number of subcontractors and overseen subcontractors and their staff were clearly sick, showing behavioral problems and overworked. In some cases they were blatantly breaking OSHA laws. OSHA covers it all up! Unfortunately, the problems can be traced back to OSHA and their wilful lack of enforcement of the law.”

“Out of all those hundreds of billions, don't you think there'll be people who are just like you?' 'What are you talking about now? Reincarnation?' 'No. Statistics. There can be no 'reincarnation' - there are no souls to be reborn. But eventually - by pure chance - someone will come along who'll embody everything that defines you.”

“Conventional wisdom nor scientific, mathematical prove of randomness in life could do nothing to deter human's curiosity for the unknown, however small the chance of a positive outcome maybe.”

“In my opinion, defining intelligence is much like defining beauty, and I don’t mean that it’s in the eye of the beholder. To illustrate, let’s say that you are the only beholder, and your word is final. Would you be able to choose the 1000 most beautiful women in the country? And if that sounds impossible, consider this: Say you’re now looking at your picks. Could you compare them to each other and say which one is more beautiful? For example, who is more beautiful— Katie Holmes or Angelina Jolie? How about Angelina Jolie or Catherine Zeta-Jones? I think intelligence is like this. So many factors are involved that attempts to measure it are useless. Not that IQ tests are useless. Far from it. Good tests work: They measure a variety of mental abilities, and the best tests do it well. But they don’t measure intelligence itself.”

“Information or allegations reflecting negatively on individuals or groups seen less sympathetically by the intelligentsia pass rapidly into the public domain with little scrutiny and much publicity. Two of the biggest proven hoaxes of our time have involved allegations of white men gang-raping a black woman-- first the Tawana Brawley hoax of 1987 and later the false rape charges against three Duke University students in 2006. In both cases, editorial indignation rang out across the land, without a speck of evidence to substantiate either of these charges. Moreover, the denunciations were not limited to the particular men accused, but were often extended to society at large, of whom these men were deemed to be symptoms or 'the tip of the iceberg.' In both cases, the charges fit a pre-existing vision, and that apparently made mundane facts unnecessary. Another widely publicized hoax-- one to which the President of the United States added his sub-hoax-- was a 1996 story appearing in USA Today under the headline, 'Arson at Black Churches Echoes Bigotry of the Past.' There was, according to USA Today, 'an epidemic of church burning,' targeting black churches. Like the gang-rape hoaxes, this story spread rapidly through the media. The Chicago Tribune referred to 'an epidemic of criminal and cowardly arson' leaving black churches in ruins. As with the gang-rape hoaxes, comments on the church fire stories went beyond those who were supposed to have set these fires to blame forces at work in society at large. Jesse Jackson was quoted was quoted in the New York Times as calling these arsons part of a 'cultural conspiracy' against blacks, which 'reflected the heightened racial tensions in the south that have been exacerbated by the assault on affirmative action and the populist oratory of Republican politicians like Pat Buchanan.' Time magazine writer Jack White likewise blamed 'the coded phrases' of Republican leaders for 'encouraging the arsonists.' Columnist Barbara Reynolds of USA Today said that the fires were 'an attempt to murder the spirit of black America.' New York Times columnist Bob Herbert said, "The fuel for these fires can be traced to a carefully crafted environment of bigotry and hatred that was developed over the last century.' As with the gang-rape hoaxes, the charges publicized were taken as reflecting on the whole society, not just those supposedly involved in what was widely presumed to be arson, rather than fires that break out for a variety of other reasons. Washington Post columnist Dorothy Gilliam said that society in effect was 'giving these arsonists permission to commit these horrible crimes.' The climax of these comments came when President Bill Clinton, in his weekly radio address, said that these church burnings recalled similar burnings of black churches in Arkansas when he was a boy. There were more that 2,000 media stories done on the subject after the President's address. This story began to unravel when factual research showed that (1) no black churches were burned in Arkansas when Bill Clinton was growing up, (2) there had been no increase in fires at black churches, but an actual decrease over the previous 15 years, (3) the incidence of fires at white churches was similar to the incidence of fires at black churches, and (4) where there was arson, one-third of the suspects were black. However, retractions of the original story-- where there were retractions at all-- typically were given far less prominence than the original banner headlines and heated editorial comments.”

“Changing mainstream media will be hard, but you can help create parallel options. More academics should blog, post videos, post audio, post lectures, offer articles, and more. You’ll enjoy it: I’ve had threats and blackmail, abuse, smears and formal complaints with forged documentation. But it’s worth it, for one simple reason: pulling bad science apart is the best teaching gimmick I know for explaining how good science works.”

“Perhaps the fundamental precept of probabilistic analysis is the exhortation to take a bird’s-eye, distributional view of the situation under analysis (e.g., a dice game, the traffic in Boulder, crimes in Pittsburgh, the situation with that troublesome knee) and to define a sample space of all the possible events and their logical, set membership interrelations. This step is exactly where rational analysis and judgments based on availability, similarity, and scenario construction diverge: When we judge intuitively, the mind is drawn to a limited, systematically skewed subset of the possible events. In the case of scenario construction, for example, we are often caught in our detailed scenario—focused on just one preposterously specific outcome path.”

“Do the current keepers of the organization’s data feel threatened by a BI implementation? Those who know the organization’s data best may feel their value depends on their being the sole possessor of that inside information. Getting these information gatekeepers to cooperate in sharing inside information and explaining those calculations is essential. These key individuals must be shown how, with a functioning BI infrastructure, they will be able to move beyond shepherding data to shepherding the organization by concentrating on making the key business decisions they were hired to make.”

“Her statistics were more than a study... For her, Quetelet was the hero as scientist, and the presentation copy of his Physique Sociale is annotated by her on every page. Florence Nightingale believed—and in all the actions of her life acted upon that belief—that the administrator could only be successful if he were guided by statistical knowledge. The legislator—to say nothing of the politician—too often failed for want of this knowledge.”

“The Unknown Citizen by W. H. Auden (To JS/07 M 378 This Marble Monument Is Erected by the State) He was found by the Bureau of Statistics to be One against whom there was no official complaint, And all the reports on his conduct agree That, in the modern sense of an old-fashioned word, he was a saint, For in everything he did he served the Greater Community. Except for the War till the day he retired He worked in a factory and never got fired, But satisfied his employers, Fudge Motors Inc. Yet he wasn't a scab or odd in his views, For his Union reports that he paid his dues, (Our report on his Union shows it was sound) And our Social Psychology workers found That he was popular with his mates and liked a drink. The Press are convinced that he bought a paper every day And that his reactions to advertisements were normal in every way. Policies taken out in his name prove that he was fully insured, And his Health-card shows he was once in hospital but left it cured. Both Producers Research and High-Grade Living declare He was fully sensible to the advantages of the Instalment Plan And had everything necessary to the Modern Man, A phonograph, a radio, a car and a frigidaire. Our researchers into Public Opinion are content That he held the proper opinions for the time of year; When there was peace, he was for peace: when there was war, he went. He was married and added five children to the population, Which our Eugenist says was the right number for a parent of his generation. And our teachers report that he never interfered with their education. Was he free? Was he happy? The question is absurd: Had anything been wrong, we should certainly have heard.”

“Police not enforcing laws results in a high crime rate that is formally reported as a low crime rate in police statistics.”

“When it is a law abiding common person versus the police internal affairs regarding a corrupt or incompetent police officer, the statistics show that it is the common person that most frequently loses.”

“Using this technique, Baum et al constructed a forest that contained 1,000 decision trees and looked at 84 co-variates that may have been influencing patients' response or lack of response to the intensive lifestyle modifications program. These variables included a family history of diabetes, muscle cramps in legs and feet, a history of emphysema, kidney disease, amputation, dry skin, loud snoring, marital status, social functioning, hemoglobin A1c, self-reported health, and numerous other characteristics that researchers rarely if ever consider when doing a subgroup analysis. The random forest analysis also allowed the investigators to look at how numerous variables *interact* in multiple combinations to impact clinical outcomes. The Look AHEAD subgroup analyses looked at only 3 possible variables and only one at a time. In the final analysis, Baum et al. discovered that intensive lifestyle modification averted cardiovascular events for two subgroups, patients with HbA1c 6.8% or higher (poorly managed diabetes) and patients with well-controlled diabetes (Hba1c < 6.8%) and good self-reported health. That finding applied to 85% of the entire patient population studied. On the other hand, the remaining 15% who had controlled diabetes but poor self-reported general health responded negatively to the lifestyle modification regimen. The negative and positive responders cancelled each other out in the initial statistical analysis, falsely concluding that lifestyle modification was useless. The Baum et al. re-analysis lends further support to the belief that a one-size-fits-all approach to medicine is inadequate to address all the individualistic responses that patients have to treatment.”

“According to the United Kingdom Tea Council, 96 percent of tea is consumed in the form of tea bags (an American invention), 98 percent of people take milk, and 45 percent take sugar. Residents of the United Kingdom each consume 2.3 kilos of tea per year to Americans' 0.2 kilos.”

“That so far the material has been dealt with in a rather subjective way provokes the question whether a means can be found of handling it objectively. [...] This chapter considers the applicability of the statistical tests employed by Wilson and the general problem whether the Linear B data are suited to statistical analysis.”

“Statistics say that a range of mental disorders affects more than one in four Americans in any given year. That means millions of Americans are totally batshit. but having perused the various tests available that they use to determine whether you're manic depressive. OCD, schizo-affective, schizophrenic, or whatever, I'm surprised the number is that low. So I have gone through a bunch of the available tests, and I've taken questions from each of them, and assembled my own psychological evaluation screening which I thought I'd share with you. So, here are some of the things that they ask to determine if you're mentally disordered 1. In the last week, have you been feeling irritable? 2. In the last week, have you gained a little weight? 3. In the last week, have you felt like not talking to people? 4. Do you no longer get as much pleasure doing certain things as you used to? 5. In the last week, have you felt fatigued? 6. Do you think about sex a lot? If you don't say yes to any of these questions either you're lying, or you don't speak English, or you're illiterate, in which case, I have the distinct impression that I may have lost you a few chapters ago.”