In the business people with expertise, experience and evidence will make more profitable decisions than people with instinct, intuition and imagination.
Reports that say that something hasn't happened are always interesting to me, because as we know, there are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are some things we do not know. But there are also unknown unknowns- the ones we don't know we don't know.
How easy it is for so many of us today to be undoubtedly full of information yet fully deprived of accurate information.
The obvious cure for the tragic shortcomings of human intuition in a high-tech world is education. And this offers priorities for educational policy: to provide students with the cognitive tools that are most important for grasping the modern world and that are most unlike the cognitive tools they are born with. The perilous fallacies we have seen in this chapter, for example, would give high priority to economics, evolutionary biology, and probability and statistics in any high school or college curriculum. Unfortunately, most curricula have barely changed since medieval times, and are barely changeable because no one wants to be the philistine who seems to be saying that it is unimportant to learn a foreign language, or English literature, or trigonometry, or the classics. But no matter how valuable a subject may be, there are only twenty-four hours in a day, and a decision to teach one subject is also a decision not to teach another one. The question is not whether trigonometry is important, but whether it is more important than statistics; not whether an educated person should know the classics, but whether it is more important for an educated person to know the classics than to know elementary economics. In a world whose complexities are constantly challenging our intuitions, these trade-offs cannot responsibly be avoided.
Also, even if technocrats provide reasonable estimates of a risk, which itself is an iffy enterprise, they cannot dictate what level of risk people ought to accept. People might object to a nuclear power plant that has a minuscule risk of a meltdown not because they overestimate the risk, but because they feel that the cost of a catastrophe, no matter how remote, are too dreadful. And of course any of these trade-offs may be unacceptable if people perceive that the benefits would go to the wealthy and powerful while they themselves absorb the risks. Nonetheless, understanding the difference between our best science and our ancient ways of thinking can only make our individual and collective decisions better informed. It can help scientists and journalists explain a new technology in the face of the most common misunderstandings. And it can help all of us understand the technology so that we can accept or reject it on grounds that we can justify to ourselves and to others.
We usually learn from debates that we seldom learn from debates.
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.
The logic behind patriotism is a mystery. At least a man who believes that his own family or clan is superior to all others is familiar with more than 0.000003% of the people involved.
Scientists and inventors of the USA (especially in the so-called "blue state" that voted overwhelmingly against Trump) have to think long and hard whether they want to continue research that will help their government remain the world's superpower. All the scientists who worked in and for Germany in the 1930s lived to regret that they directly helped a sociopath like Hitler harm millions of people. Let us not repeat the same mistakes over and over again.
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.
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.
While it might have surprised onlookers, undergraduates in the 2000s were in fact having less sex than their predecessors in the 1980s and '90s - if you accepted their definition of sex as vaginal intercourse. (Those of us who grew up during the Clinton years learned from our president that activities other than intercourse do not constitute "sexual relations," however intimate they may be.)
My biggest hope for this work is that it will help others to remember the sacrifices made for our freedom, and even more so to remember that the men, women, and children all involved in and affected by this era were not just statistics: they were people just like we are, with the same hopes, dreams, and very imminent fears.
If I want to understand an individual human being, I must lay aside all scientific knowledge of the average man and discard all theories in order to adopt a completely new and unprejudiced attitude. I can only approach the task of understanding with a free and open mind, whereas knowledge of man, or insight into human character, presupposes all sorts of knowledge about mankind in general.
J. E. Littlewood, a mathematician at Cambridge University, wrote about the law of truly large numbers in his 1986 book, "Littlewood's Miscellany." He said the average person is alert for about eight hours every day, and something happens to the average person about once a second. At this rate, you will experience 1 million events every thirty-five days. This means when you say the chances of something happening are one in a million, it also means about once a month. The monthly miracle is called Littlewood's Law.
Statistics show that the nature of English crime is reverting to its oldest habits. In a country where so many desire status and wealth, petty annoyances can spark disproportionately violent behaviour. We become frustrated because we feel powerless, invisible, unheard. We crave celebrity, but that’s not easy to come by, so we settle for notoriety. Envy and bitterness drive a new breed of lawbreakers, replacing the old motives of poverty and the need for escape. But how do you solve crimes which no longer have traditional motives?
The Christian writer will feel that in the greatest depth of vision, moral judgment will be implicit, and that when we are invited to represent the country according to survey, what we are asked to do is to separate mystery from manners and judgment from vision, in order to produce something a little more palatable to the modern temper. We are asked to form our consciences in the light of statistics, which is to establish the relative as absolute. For many this may be a convenience, since we don't live in an age of settled belief; but it cannot be a convenience, it cannot even be possible, for the writer who is a Catholic. He will feel that any long-continued service to it will produce a soggy, formless, and sentimental literature, one that will provide a sense of spiritual purpose for those who connect the spirit with romanticism and a sense of joy for those who confuse that virtue with satisfaction. The storyteller is concerned with what is; but if what is is what can be determined by survey, then the disciples of Dr. Kinsey and Dr. Gallup are sufficient for the day thereof.
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.
The shock which the Nazi horrors produced was so great, because they came after two hundred years of Roussellian propaganda about the goodness of human nature and also because the Germans were literate, clean, technologically progressive, hard working, “modern,” sober, “orderly,” and so forth. Yet about human nature we get more concrete and more pertinent information from the Bible than from statistics dealing with secondary education, the frequency of bathtubs or the mileage of superhighways.
You end up with a machine which knows that by its mildest estimate it must have terrible enemies all around and within it, but it can't find them. It therefore deduces that they are well-concealed and expert, likely professional agitators and terrorists. Thus, more stringent and probing methods are called for. Those who transgress in the slightest, or of whom even small suspicions are harboured, must be treated as terrible foes. A lot of rather ordinary people will get repeatedly investigated with increasing severity until the Government Machine either finds enemies or someone very high up indeed personally turns the tide... And these people under the microscope are in fact just taking up space in the machine's numerical model. In short, innocent people are treated as hellish fiends of ingenuity and bile because there's a gap in the numbers.
Trying to analyze a situation without enough data was like looking at a photograph of a ball in flight and trying to gauge its direction. Is it going up, down, sideways? Is it about to collide with a baseball bat? Is it moving at all, or is something on the blind side holding it in place? A single frame didn't mean a thing. Patterns were based on data. With enough datapoints, you could predict just about anything.
Police not enforcing laws results in a high crime rate that is formally reported as a low crime rate in police statistics.
This book is an essay in what is derogatorily called "literary economics," as opposed to mathematical economics, econometrics, or (embracing them both) the "new economic history." A man does what he can, and in the more elegant - one is tempted to say "fancier" - techniques I am, as one who received his formation in the 1930s, untutored. A colleague has offered to provide a mathematical model to decorate the work. It might be useful to some readers, but not to me. Catastrophe mathematics, dealing with such events as falling off a height, is a new branch of the discipline, I am told, which has yet to demonstrate its rigor or usefulness. I had better wait. Econometricians among my friends tell me that rare events such as panics cannot be dealt with by the normal techniques of regression, but have to be introduced exogenously as "dummy variables." The real choice open to me was whether to follow relatively simple statistical procedures, with an abundance of charts and tables, or not. In the event, I decided against it. For those who yearn for numbers, standard series on bank reserves, foreign trade, commodity prices, money supply, security prices, rate of interest, and the like are fairly readily available in the historical statistics.
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 disordered1. 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.
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 unneces
Voting, we might even say, is the next to last refuge of the politically impotent. The last refuge is, of course, giving your opinion to a pollster, who will get a version of it through a desiccated question, and then will submerge it in a Niagara of similar opinions, and convert them into--what else?--another piece of news. Thus we have here a great loop of impotence: The news elicits from you a variety of opinions about which you can do nothing except to offer them as more news, about which you can do nothing.
Another mistaken notion connected with the law of large numbers is the idea that an event is more or less likely to occur because it has or has not happened recently. The idea that the odds of an event with a fixed probability increase or decrease depending on recent occurrences of the event is called the gambler's fallacy. For example, if Kerrich landed, say, 44 heads in the first 100 tosses, the coin would not develop a bias towards the tails in order to catch up! That's what is at the root of such ideas as "her luck has run out" and "He is due." That does not happen. For what it's worth, a good streak doesn't jinx you, and a bad one, unfortunately , does not mean better luck is in store.
While most of us are comfortable acknowledging that luck plays a role in what we do, we have difficulty assessing its role after the fact. Once something has occurred and we can put together a story to explain it, it starts to seem like the outcome was predestined. Statistics don't appeal to our need to understand cause and effect, which is why they are so frequently ignored or misinterpreted. Stories, on the other hand, are a rich means to communicate precisely because they emphasize cause and effect.
Dawes observed that the complex statistical algorithm adds little or no value. One can do just as well by selecting a set of scores that have some validity for predicting the outcome and adjusting the values to make them comparable (by using standard scores or ranks). A formula that combines these predictors with equal weights is likely to be just as accurate in predicting new cases as the multiple-regression formula that was optimal in the original sample. More recent research went further: formulas that assign equal weights to all the predictors are often superior, because they are not affected by accidents of sampling.
Flo especially took me in hand. When I felt I had to prove the existence of discrimination with statistics, for instance, she pulled me aside. 'If you're lying in the ditch with a truck on your ankle,' she said patiently, 'you don't send someone to the library to find out how much the truck weighs. You get it off!