Top Hackernews posts from statmodeling.stat.columbia.edu
- “AI promised to revolutionize radiology but so far its failing” (statmodeling.stat.columbia.edu)
- Open AI gets GPT-3 to work by hiring an army of humans to fix GPT’s bad answers (statmodeling.stat.columbia.edu)
- Chief scientist of major corporation can’t handle criticism of the work he hypes (statmodeling.stat.columbia.edu)
- If you think psychological science is bad, imagine how bad it was in 1999 (statmodeling.stat.columbia.edu)
- The claimed effect size is about a zillion times higher than is plausible (statmodeling.stat.columbia.edu)
- ML is not that good at predicting consumers' choices (statmodeling.stat.columbia.edu)
- The immediate victims of a con would rather act as if the con never happened (statmodeling.stat.columbia.edu)
- Bayesians moving from defense to offense (statmodeling.stat.columbia.edu)
- Noted study in psychology fails to replicate, crumbles with evidence of fraud (statmodeling.stat.columbia.edu)
- They say that stocks go down during the day and up at night (statmodeling.stat.columbia.edu)
- I disagree with Geoff Hinton regarding "glorified autocomplete" (statmodeling.stat.columbia.edu)
- Do simpler machine learning models exist and how can we find them? (statmodeling.stat.columbia.edu)
- Every modeler is supposed to be a great Python programmer (statmodeling.stat.columbia.edu)
- “Chatbots: Still Dumb After All These Years” (statmodeling.stat.columbia.edu)
- A baffling scale transform on a chart of university course selection trends (statmodeling.stat.columbia.edu)
- A homework question in someone’s 11th grade statistics class (statmodeling.stat.columbia.edu)
- High-intensity exercise, some new news (statmodeling.stat.columbia.edu)
- Using Benford’s Law to Detect Bitcoin Manipulation (statmodeling.stat.columbia.edu)
- Which one of these will be the biggest “unicorn” failure ever? (statmodeling.stat.columbia.edu)
- I disagree with Turing and Kahneman regarding statistical evidence (2014) (statmodeling.stat.columbia.edu)
- Bad stuff going down at the American Sociological Association (statmodeling.stat.columbia.edu)
- Dean of Engineering at University of Nevada wrote a paper that’s bad (statmodeling.stat.columbia.edu)
- EU proposing to regulate the use of Bayesian estimation (statmodeling.stat.columbia.edu)
- A successful example of "adversarial collaboration" (statmodeling.stat.columbia.edu)
- Bayesian statistics and machine learning: How do they differ? (statmodeling.stat.columbia.edu)
- The examples in the textbooks are not representative of real world problems (statmodeling.stat.columbia.edu)
- Update on the fake story about the river laborers paying people to whip them (statmodeling.stat.columbia.edu)
- “Is there a heuristic we might use to identify and flag questionable papers?” (statmodeling.stat.columbia.edu)
- An accidental experiment that saved 700 lives (statmodeling.stat.columbia.edu)
- Fields where it matters, fields where you can thrive on BS alone, and in between (statmodeling.stat.columbia.edu)
- “A Headline That Will Make Global-Warming Activists Apoplectic” (statmodeling.stat.columbia.edu)
- Not Frequentist Enough (statmodeling.stat.columbia.edu)
- Feeling like a pariah, even when you’re not (statmodeling.stat.columbia.edu)
- Refuted papers continue to be cited more than their failed replications (statmodeling.stat.columbia.edu)
- Only positive reinforcement for researchers in some fields (statmodeling.stat.columbia.edu)
- A sequence that we see all the time in the world of junk science (statmodeling.stat.columbia.edu)
- ChatGPT4 writes Stan code so I don’t have to (statmodeling.stat.columbia.edu)
- Using predictions from arbitrary models to get tighter confidence intervals (statmodeling.stat.columbia.edu)
- Non-Standard Errors [pdf] (statmodeling.stat.columbia.edu)
- The Bayesian Cringe (2021) (statmodeling.stat.columbia.edu)
- Thinking fast, slow, and not at all: System 3 jumps the shark (statmodeling.stat.columbia.edu)
- Why I’m skeptical of “steelmanning” (statmodeling.stat.columbia.edu)
- The piranha problem in social psychology / behavioral economics (2017) (statmodeling.stat.columbia.edu)
- The formation and revision of intuitions (2023) [pdf] (statmodeling.stat.columbia.edu)
- Pinker was right, I was wrong (statmodeling.stat.columbia.edu)
- Analog computing and hybrid computing: The view from 1962 (statmodeling.stat.columbia.edu)
- Relating t-statistics and the relative width of confidence intervals (statmodeling.stat.columbia.edu)