Misuse of statistics
A misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the st...
Blind spots: Challenge assumptions
Learn more at PwC.com - http://www.pwc.com/us/en/index.jhtml Our brains are wired to make assumptions, which can sometimes be off base. We think it's an honest mistake; science calls it a blind spot.
'Fraud': Mainstream polls use 29% more Democrats than Republicans
Mainstream polls oversample Democrats by 29 percent, according to a new analysis.
Why are people so often wrong about their own countries?
People in 33 nations polled by the latest Ipsos Mori survey often seem clueless on wealth, immigration and other factors. Our new international survey across 33 countries shows just how wrong the worl...
Coca-Cola Is Funding Obesity Research With A Biased Message, Nutrition Experts Say
Coca-Cola came under fire Monday for donating millions of dollars to a nonprofit that has been spreading the message in medical journals and through social media that the blame for America's obesity e...
DOJ: Ferguson PD engaged in racially biased policing
A Justice Department review found that the troubled Ferguson Police Department engaged in a pattern of racially biased enforcement during suspect stops and used unreasonable force against a
Biased sample
In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population are less likely to be included than others. It results in a biased samp...
Biased sample - Wikipedia
Opinion poll
An opinion poll, sometimes simply referred to as a poll, is a survey of public opinion from a particular sample. Opinion polls are usually designed to represent the opinions of a population by conduct...
Opinion poll - Wikipedia
Correlation does not imply causation
Correlation does not imply causation is a phrase used in science and statistics to emphasize that a correlation between two variables does not necessarily imply that one causes the other. Many statis...
Data dredging
Data dredging (data fishing, data snooping, equation fitting) is the use of data mining to uncover relationships in data.The process of data mining involves automatically testing huge numbers of hypot...
Bias
Bias is an inclination of temperament or outlook to present or hold a partial perspective, often accompanied by a refusal to consider the possible merits of alternative points of view. People may be ...
Bias - Wikipedia
Testing hypotheses suggested by the data
In statistics, hypotheses suggested by the data, if tested using the data set that suggested them, are likely to be accepted even when they are not true. This is because circular reasoning (double di...
Vested interest
Vested interest or Vested interests may refer to:
Circular analysis
In statistics, circular analysis is the selection of the details of a data analysis using the data that is being analysed. It is often referred to as double dipping, as one uses the same data twice. C...
Kitchen sink regression
Pejoratively, a kitchen sink regression is a statistical regression which uses a long list of possible independent variables to attempt to explain variance in a dependent variable. In economics, psyc...
Double counting (fallacy)
Double counting is a fallacy in which, when counting events or occurrences in probability or in other areas, a solution counts events two or more times, resulting in an erroneous number of events or o...
Misleading graph
In statistics, a misleading graph, also known as a distorted graph, is a graph that misrepresents data, constituting a misuse of statistics and with the result that an incorrect conclusion may be deri...
Misleading graph - Wikipedia
Lies, damned lies, and statistics
"Lies, damned lies, and statistics" is a phrase describing the persuasive power of numbers, particularly the use of statistics to bolster weak arguments. It is also sometimes colloquially used to dou...
Anscombe's quartet
Anscombe's quartet comprises four datasets that have nearly identical simple statistical properties, yet appear very different when graphed. Each dataset consists of eleven (x,y) points. They were con...
Self-selection bias
In statistics, self-selection bias arises in any situation in which individuals select themselves into a group, causing a biased sample with nonprobability sampling. It is commonly used to describe s...
Prosecutor's fallacy
The prosecutor's fallacy is a fallacy of statistical reasoning, typically used by the prosecution to argue for the guilt of a defendant during a criminal trial. Although it is named after prosecutors ...
Statistical Assessment Service
Statistical Assessment Service (STATS) is a non-profit educational organization, based in Washington, DC, which analyzes and critiques the presentation of scientific findings and statistical evidence ...
Sampling bias
In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population are less likely to be included than others. It results in a biased samp...
Sampling bias - Wikipedia
Healthy user bias
The healthy user bias is a bias that can damage the validity of epidemiologic studies testing the efficacy of particular therapies or interventions. Specifically, it is a sampling bias: the kind of su...
Prospect theory
Prospect theory is a behavioral economic theory that describes the way people choose between probabilistic alternatives that involve risk, where the probabilities of outcomes are known. The theory sta...
Spectrum bias
In biostatistics, spectrum bias refers to the phenomenon that the performance of a diagnostic test may vary in different clinical settings because each setting has a different mix of patients. Becaus...
Regression fallacy
The regression (or regressive) fallacy is an informal fallacy. It ascribes cause where none exists. The flaw is failing to account for natural fluctuations. It is frequently a special kind of the post...
Ecological fallacy
An ecological fallacy (or ecological inference fallacy) is a logical fallacy in the interpretation of statistical data where inferences about the nature of individuals are deduced from inference for t...