Quotes & Sayings About Data And Statistics

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. — Mike Brown

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. — Marcus Sakey

I had been hearing on-the-ground buzz that white folks were moving to places like Bend, Oregon, and Coeur d'Alene, Idaho, and St. George, Utah. That led me to discover through census data that these towns were already extremely white and they were becoming, in most cases, even whiter. Statistics could only tell me so much; in order to get to the spirit and essence of it, I had to immerse myself. — Richard Benjamin

The cloud is driven by statistics, and even in the worst individual cases of personal ignorance, dullness, idleness, or irrelevance, every person is constantly feeding data into the cloud these days. The value of such information could be treated as genuine, but it is not. Instead, the blindness of our standards of accounting to all that value is gradually breaking capitalism. — Jaron Lanier

The world is producing more and more data, ever faster and faster. Yet, as the New York Times has noted, "Data is merely the raw material of knowledge."3* Statistics is the most powerful tool we have for using information to some meaningful end, — Charles Wheelan

A lot of data, whether it's imagery or other kinds of things, work really well when it's geographically laid out. I'm talking about imagery, statistics, incidents and other things that happen around the globe. — Jefferson Han

The average American household's income declined for a second year in a row, the data from the Bureau of Labor Statistics show, down 0.9 percent to $64,432. The wealthiest fifth of Americans were an exception: Their incomes increased by 0.9 percent. Among the poorest fifth, incomes fell 3.5 percent. Taking taxes into account, — Anonymous

More data means more information, but it also means more false information. — Nassim Nicholas Taleb

! want to leverage the creativity of researchers across mathematics, statistics, data mining, computer science, biology, medicine, and the public at large. — Tan Le

The viewer of television, the listener to radio, the reader of magazines, is presented with a whole complex of elements - all the way from ingenious rhetoric to carefully selected data and statistics - to make it easy for him to "make up his own mind" with the minimum of difficulty and effort. But the packaging is often done so effectively that the viewer, listener, or reader does not make up his own mind at all. Instead, he inserts a packaged opinion into his mind, somewhat like inserting a cassette into a cassette player. He then pushes a button and "plays back" the opinion whenever it seems appropriate to do so. He has performed acceptably without having had to think. — Mortimer J. Adler

The investigation of causal relations between economic phenomena presents many problems of peculiar difficulty, and offers many opportunities for fallacious conclusions. Since the statistician can seldom or never make experiments for himself, he has to accept the data of daily experience, and discuss as best he can the relations of a whole group of changes; he cannot, like the physicist, narrow down the issue to the effect of one variation at a time. The problems of statistics are in this sense far more complex than the problems of physics. — Udny Yule

Years ago a statistician might have claimed that statistics deals with the processing of data ... to-days statistician will be more likely to say that statistics is concerned with decision making in the face of uncertainty. — Herman Chernoff

Unlike earlier thinkers, who had sought to improve their accuracy by getting rid of error, Laplace realized that you should try to get more error: aggregate enough flawed data, and you get a glimpse of the truth. "The genius of statistics, as Laplace defined it, was that it did not ignore errors; it quantified them," the writer Louis Menand observed. " ... The right answer is, in a sense, a function of the mistakes. — Kathryn Schulz

What makes him successful is the way that he analyzes information. He is not just hunting for patterns. Instead, Bob combines his knowledge of statistics with his knowledge of basketball in order to identify meaningful relationships in the data. — Nate Silver

We lisp in numbers, in the U.S. We are deluged by ample, often mysterious statistics ... Like many in this country, I have come to regard statistics with doubt and merely as a hint of the probable shape of fact. — Martha Gellhorn

The exaggerated faith in small samples is only one example of a more general illusion - we pay more attention to the content of messages than to information about their reliability, and as a result end up with a view of the world around us that is simpler and more coherent than the data justify. Jumping to conclusions is a safer sport in the world of our imagination than it is in reality. Statistics produce many observations that appear to beg for causal explanations but do not lend themselves to such explanations. Many facts of the world are due to chance, including accidents of sampling. Causal explanations of chance events are inevitably wrong. — Daniel Kahneman

Statistics is the branch of scientific method which deals with the data obtained by counting or measuring the properties of populations of natural phenomena. — Maurice Kendall

One of the very first things students in intro psychology, statistics, or economics courses learn is how to "clean up the data. — Shawn Achor

Data scientist (noun): Person who is better at statistics than any software engineer and better at software engineering than any statistician. - Josh Wills — Rachel Schutt

The official report was a collection of cold, hard data, an objective "after-action report" that would allow future generations to study the events of that apocalyptic decade without being influenced by the "human factor." But isn't the human factor what connects us so deeply to our past? Will future generations care as much for chronologies and casualty statistics as they would for the personal accounts of individuals not so different from themeslves? By excluding the human factor, aren't we risking the kind of personal detachment from a history that may, heaven forbid, lead us one day to repeat it? — Max Brooks

Recommendation 7: Build human capital in government. While Moneyball uses big data and advanced statistics, the endeavor ultimately depends on people. To take one example: rapid-cycle evaluation at a service-delivery agency requires policy experts to identify plausible new approaches; program managers to implement them; technologists to create or modernize data systems to capture effects; social scientists or statisticians to analyze the data on effects; and crosscutting leaders who know how to bring these pieces together with inspiration and precision. — Kelly Ayotte

People, alas, are more impressed by statistics than they are by ideas. — Margaret Millar

So it is with statistics; no amount of fancy analysis can make up for fundamentally flawed data. Hence the expression garbage in, garbage out. — Charles Wheelan

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. — Jennifer K. McArthur

To not look at the data is foolish, but to look at the data as having all the answers is even more foolish. It is a collision of new-school statistics and statisticians against old-school managers, coaches, and instructors. Neither side is right, neither is wrong; there is so much to be gained from listening to both sides. — Tim Kurkjian

I think that having good data, good statistics-and the United States generally has better macroeconomic statistics than most countries-and having good economists to interpret those data and present the policy alternatives, has a substantially beneficial effect on policymaking in the United States. — Ben Bernanke

I have stressed this distinction because it is an important one. It defines the fundamental difference between probability and statistics: the former concerns predictions based on fixed probabilities; the latter concerns the inference of those probabilities based on observed data. — Leonard Mlodinow

The fundamental confusion that makes income bracket data and individual income data seem mutually contradictory is the implicit assumption that people in particular income brackets at a given time are an enduring "class" at that level. If that were true, then trends over time in comparisons between income brackets would be the same as trends over time between individuals. Because that is not the case, the two sets of statistics lead not only to different conclusions but even opposite conclusions. — Thomas Sowell

By the time your perfect information has been gathered, the world has moved on. — Phil Dourado

Above all else show the data. — Edward R. Tufte

The value for which P=0.05, or 1 in 20, is 1.96 or nearly 2; it is convenient to take this point as a limit in judging whether a deviation ought to be considered significant or not. Deviations exceeding twice the standard deviation are thus formally regarded as significant. Using this criterion we should be led to follow up a false indication only once in 22 trials, even if the statistics were the only guide available. Small effects will still escape notice if the data are insufficiently numerous to bring them out, but no lowering of the standard of significance would meet this difficulty. — Ronald A. Fisher

The chief instrument of American statistics is the census, which should accomplish a two-fold object. It should serve the country by making a full and accurate exhibit of the elements of national life and strength, and it should serve the science of statistics by so exhibiting general results that they may be compared with similar data obtained by other nations. — James A. Garfield

To me, the main weakness of EDA is its failure to enquire why the data were collected in the first place and its consequent tendency to apply ingenious methods largely because they are so attractively ingenious. — Michael Healy

A problem of statistical inference or, more simply, a statistics problem is a problem in which data that have been generated in accordance with some unknown probability distribution must be analyzed and some type of inference about the unknown distribution must be made. — Morris H. DeGroot

Data-driven statistics has the danger of isolating statistics from the rest of the scientific and mathematical communities by not allowing valuable cross-pollination of ideas from other fields. — Lawrence Shepp

To clarify, *add* data. — Edward R. Tufte

Robert Kennedy identified with people, not data, or institutions, or theories. Poverty was a specific black face for him, not a manila folder full of statistics. — Jack Newfield

If the statistics are boring, then you've got the wrong numbers. — Edward R. Tufte

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

The secret language of statistics, so appealing in a fact-minded culture, is employed to sensationalize, inflate, confuse, and oversimplify. Statistical terms and statistical methods are necessary in reporting the mass data of social and economic trends, business conditions, 'opinion' polls, the census. But without writers who use the words with honesty and understanding and readers who know what they mean, the result can only be semantic nonsense. — Darrell Huff

The victims I've worked with taught me that individuals want to believe they are entitled to justice. My community taught me that when the choice is clear-cut enough, so do entire counties.

We have become profoundly discouraged about whether we have such choices. My own experience is that we do, if we are willing to pay the price. We need better data to make decisions based on performance, but getting that data is a matter of passing the right laws requiring crunchable statistics and mandatory public reports. The rest is on us. If Tip O'Neil was right, if all politics is local, then our local district attorneys are the place to start. Crime is local. What we do about it is as close as the nearest voting booth. — Alice Vachss

Who needs theory when you have so much information? But this is categorically the wrong attitude to take toward forecasting, especially in a field like economics where the data is so noisy. — Nate Silver

The purpose of models is not to fit the data but to sharpen the question. — Samuel Karlin

Statistics may be defined as the discipline concerned with the treatment of numerical data derived from groups of individuals. — Peter Armitage

So, to return to the title chapter, what is the point of learning statistics? To summarize huge quantities of data. To make better decisions. To answer important social questions. To recognize patterns that can refine how we do everything from selling diapers to catching criminals. To catch cheaters and prosecute criminals. To evaluate the effectiveness of policies, programs, drugs, medical procedures, and other innovations. And to spot the scoundrels who use these very same powerful tools for nefarious ends. — Charles Wheelan