Suspicious data pattern in recent Venezuelan election
Here’s a little “fake stats in the wild” gem that I think you and your followers will find at the least somewhat amusing.
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Here’s a little “fake stats in the wild” gem that I think you and your followers will find at the least somewhat amusing.
In a post entitled, “How Institutional Failures Undermine Trust in Science: The Case of a Landmark Study on Sustainability and Stock Returns,” Andy King (my collaborator on the project on scheduled post-publication review ) tells a disturbing story of the failure of the scholarly publication process :
Geoffrey Hinton is a legendary computer scientist . . . Naturally, people paid attention when Hinton declared in 2016, “We should stop training radiologists now, it’s just completely obvious within five years deep learning is going to do better than radiologists.” The US Food and Drug Administration (FDA) approved the…
1. Statistics / numerical analysis / data science is a lot harder than you, the reader of this blog, might think.
A couple months ago we had a post, This paper in Management Science has been cited more than 6,000 times. Wall Street executives, top government officials, and even a former U.S. Vice President have all referenced it. It’s fatally flawed, and the scholarly community refuses to do anything about it. which was about…
Shane Frederick points us to this article from 1999 , “Stereotype susceptibility: Identity salience and shifts in quantitative performance,” about which he writes:
Dorothy Bishop has the story about “a chemistry lab in CNRS-Université Sorbonne Paris Nord”:
I’ve been following your blog for a while and checked in today to see if there was a thread on last week’s big-splash Stanford antibody study (the one with the shocking headline that they got 50 positive results in a “random” sample of 3330 antibody tests, suggesting that nearly 2% of the population has been infected…
About 80 people pointed me to this post by Uri Simonsohn, Joe Simmons, and Leif Nelson about a 2012 article, “Signing at the beginning makes ethics salient and decreases dishonest self-reports in comparison to signing at the end.” Apparently some of the data in that paper were faked; see for example here:
Zoe Ziani, a psychology researcher who had the misfortune several years ago as a Ph.D. student be tasked with following up on some unrelicable published psychology research, tells the story of how her department pulled the chair out from under her:
In 1970, Marvin Minsky, recipient of the Turing Award (“the Nobel Prize of Computing”), predicted that within “three to eight years we will have a machine with the general intelligence of an average human being.”
The other day someone pointed me to this article by James Kaufman and Vlad Glǎveanu in a psychology journal which begins:
To continue our post-voting, pre-vote-counting assessment (see also here and here ), I want to separate two issues which can get conflated: 1. Problems with poll-based election forecasts.
In our previous installment of this podcast, we learned from independent researcher Alexey Guzey that famed sleep researcher Matthew Walker seems to have committed research misconduct in his bestselling book, Why We Sleep. Walker is a University of California professor, Google researcher, and Ted talk star, and his…
I knew the Association for Psychological Science, the American Psychological Association, the American Political Science Association, the American Statistical Association, and the National Academy of Sciences had problems. It turns out the American Sociological Association does some bad things too.
In light of our recent discussion of the unwillingness of authors of published papers to acknowledge their mistakes, I thought I’d post the four correction notices that I’ve felt the need to issue.
tl;dr. In 2024, pre-election polls were off by about 2 percentage points. Election forecasters were aware of this and incorporated this into their uncertainties. But if you were not following the forecasts carefully, you might’ve not realized this. You might have mistakenly thought that, when predictions happened to…
“As we look to sleep and neuroscience for answers we can study flies specifically the Drosophila melanogaster we highlight in our research.”
– Basketball Stats: Don’t model the probability of win, model the expected score differential.
The European Commission just released their Proposal for a Regulation on a European approach for Artificial Intelligence . They finally get around to a definition of “AI” on page 60 of the report (link above):
We synthesized the vast, contradictory scholarly literature on gender bias in academic science from 2000 to 2020. . . . Claims and counterclaims regarding the presence or absence of sexism span a range of evaluation contexts. Our approach relied on a combination of meta-analysis and analytic dissection. We evaluated…
As you might remember from a few months ago , there was a story going around that some economists just looooved to tell. The story had all sorts of attributes that you might expect would make economists happy , including a paradox in which apparently bad behavior (whipping people to get them to work harder) was…