Mind Matters Natural and Artificial Intelligence News and Analysis

TagData Mining

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Data technology background. Big data visualization. Flow of data. Information code. Background in a matrix style. 4k rendering.

Torturing Data Can Destroy a Career: The Case of Brian Wansink

Wansink wasn’t alone. A surprising number of studies published in highly respected peer-reviewed journals are complete nonsense and could not be replicated with fresh data

Until a few years ago, Brian Wansink (pictured in 2007) was a Professor of Marketing at Cornell and the Director of the Cornell Food and Brand Lab. He authored (or co-authored) more than 200 peer-reviewed papers and wrote two popular books, Mindless Eating and Slim by Design, which have been translated into more than 25 languages. In one of his most famous studies, 54 volunteers were served tomato soup. Half were served from normal bowls and half from “bottomless bowls” which had hidden tubes that imperceptibly refilled the bowls. Those with the bottomless bowls ate, on average, 73 percent more soup but they did not report feeling any fuller than the people who ate from normal bowls. Eating is evidently…

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Bitcoin statistics

Artificial Intelligence Gaming the Stock Market

What are some assumptions about artificial intelligence? How does artificial intelligence affect the stock market? George Gilder and Robert J. Marks discuss assumptions about artificial intelligence, the stock market, and George Gilder’s new book Gaming AI: Why AI Can’t Think but Can Transform Jobs (which you can get for free here). Show Notes 00:30 | Introducing George Gilder 01:02 |…

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man riding on self balancing board graffiti

Election Models: Predicting the Past is Easy — and Useless

You can seldom see where you are going by looking in a rear-view mirror
I told my students that I had a model that predicted the popular vote for the the last ten presidential elections (1980–2016) perfectly. Read More ›
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Vitamin D gelcaps.

Vitamin D and COVID-19: Is It Data or Noise?

Because random clusters occur naturally in large numbers, only randomized, controlled trials can tell us

Random data shows geographic clusters. Thus some locations will inevitably have higher COVID-19 rates than others. As my example shows, associating these clusters with personal characteristics after the fact is not convincing scientific evidence. That’s where randomized, controlled trials are needed.

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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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Flying futuristic central processing unit. electronic circuitry within a computer that carries out the instructions of a computer program performing arithmetic, logic, controlling.

Coronavirus: Is Data Mining Failing Its First Really Big Test?

Computers scanning thousands of paper don’t seem to be providing answers for COVID-19

If Alphabet’s Deep Mind or Microsoft had successfully data mined the 29,000 papers and found useful coronavirus information, that would be pretty impressive. But they appear to be giving others a chance to try instead, raising issues once again about the value of data mining in medicine.

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Polygonal art of Bullish vs Bearish

Ransacking Flawed Data For Hidden Treasures Seldom Ends Well

The Internet provides a firehose of data that financial market researchers can use to interpret human behavior—but cherry-picked patterns usually vanish

The explosion of data has vastly increased the number of coincidental patterns that can be discovered by tenacious researchers. If there are a relatively fixed number of useful patterns and the number of coincidental patterns is growing exponentially, then the ratio of useful patterns to useless patterns must necessarily be getting closer to zero every day.

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Roadsign rusted with shotgun holes in it

The Texas Sharpshooter Fallacies

Gary Smith discusses his book, the AI Delusion, and how the pressure to publish or perish corrupts research

Bob Marks and Gary Smith offer a range of startling examples of how the pressure to publish drives a lack of rigor — and sometimes honesty — in analyzing and presenting experimental data. The result is a never ending parade of headlines in health and medicine that are unwarranted and often reversed or impossible to replicate. Shownotes 01:00 | Data…