Mind Matters Natural and Artificial Intelligence News and Analysis

TagHARKing

businessman-holding-tablet-and-showing-holographic-graphs-and-stock-market-statistics-gain-profits-concept-of-growth-planning-and-business-strategy-display-of-good-economy-form-digital-screen-stockpack-adobe-stock
Businessman holding tablet and showing holographic graphs and stock market statistics gain profits. Concept of growth planning and business strategy. Display of good economy form digital screen.

Retracted Paper Is a Compelling Case for Reform

The credibility of science is being undermined by misuse of the tools created by scientists. Here's an example from an economics paper I was asked to comment on
In my book Distrust (Oxford 2023), I recommend that journals not publish data-driven research without public access to nonconfidential data and methods used. Read More ›
Groups of people
Groups of people are connected by lines. Interdependence correlation in workflow. Interacting and joining forces with other teams. Interact to complete tasks. Formation of a more complex community.

Step Away From Stepwise Regression (and Other Data Mining)

Stepwise regression, which is making a comeback, is just another form of HARKing — Hypothesizing After the Results are Known

There is a strong correlation between the number of lawyers in Nevada and the number of people who died after tripping over their own two feet. There are similarly impressive correlations between U.S. crude oil imports and the per capita consumption of chicken — and the number of letters in the winning word in the Scripps National Spelling Bee and the number if people killed by venomous spiders. If you find these amusing (as I do), there are many more at the website Spurious Correlations. These silly statistical relationships are intended to demonstrate that correlation is not causation. But no matter how often or how loudly statisticians shout that warning, many people do not hear it. When there is a Read More ›

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cryptocurrency equipment mining

Data Mining: A Plague, Not a Cure

It is tempting to believe that patterns are unusual and their discovery meaningful; in large data sets, patterns are inevitable and generally meaningless

Findings patterns in data is easy. Finding meaningful patterns that have a logical basis and can be used to make accurate predictions is elusive. We can see this from 18th-century attempts to cure scurvy through 21st century claims about the stock market or history.

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