Nikhil Krishnan on Twitter / X

Acute Effects of Coffee Consumption on Health among Ambulatory Adults

Coffee is one of the most commonly consumed beverages in the world, but the acute health effects of coffee consumption remain uncertain. We conducted a prospective, randomized, case-crossover trial...

Creating Scientific Theories with Online Communities using Gut Instinct

People's lived experiences provide intuitions about their health. Can they transform these personal intuitions into scientific theories that inform both science and their lives? My research introduces social computing architectures and system principles for people to brainstorm and test causal scientific theories. These ideas are instantiated in the Gut Instinct system (gutinstinct.ucsd.edu). 344 voluntary online participants from 27 countries created 399 personally-relevant questions about the human microbiome, 75 (19%) of which microbiome experts found potentially scientifically novel. To test their theories, end users design structurally-sound experiments, improve them via community reviews, and run them with other participants. Controlled experiments show that participants create better hypotheses and experimental designs when they have access to procedural training. My research illustrates a novel way to tackle complex, creative tasks online by building expertise in online volunteer communities.

Statistical Modeling, Causal Inference, and Social Science

I saw in a recent issue of the Times Literary Supplement that you have been critical of the “chambermaid” study which purported to show that people were losing weight without changing their diet or exercise. I agree that this study did not show what it claimed.

Dispatch

An occasional update on the lab’s latest findings, appearances, and happenings.

Meta’s New AI Asked for My Raw Health Data—and Gave Me Terrible Advice

Meta’s Muse Spark model offers to analyze users’ health data, including lab results. Beyond the obvious privacy risks, it’s not a capable stand-in for a real doctor.

The Quest For Caffeine You Can Have At Night

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Annual Reports | CAA

For archived content, please refer to the National Diet Library's Web Archiving Project (WARP).

Science Banana on Twitter / X

I don't even know where to start with this crap (partly because it's hard to tell which of the studies the 17 "jogging" effects came from, partly because it seems obvious from the paper that the more studies the more the "effect" disappears) https://t.co/Gniv5Ht8g3 pic.twitter.com/qbToQ2yOGM— Science Banana (@literalbanana) March 12, 2024

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Can Alzheimer’s really be reversed, as a new documentary claims?

A CNN documentary follows two people with Alzheimer’s who took part in a study to determine if lifestyle changes can reverse symptoms.

Coffee, tea, and caffeine consumption and serum uric acid level: The third national health and nutrition examination survey

AI linked to explosion of low-quality biomedical research papers

Analysis flags hundreds of studies that seem to follow a template, reporting correlations between complex health conditions and single variables based on publicly available data sets.

PubPeer - Efficacy of oral folinic acid supplementation in children wi... | Ioana A. Cristea | 13 comments

Over the last week, I have privately been in contact with several friends and collaborators over the *SINGLE* study that was cited by the FDA in supporting the label extension of leucovorin for autism spectrum disorders. https://lnkd.in/dHpfCt_9 https://lnkd.in/dYWbHXyY Given the enormous importance of this study, and the fact that the results look too good to be true and there are various signals I would have thought would have raised a sleuth eyebrow (for example, Table 1 where all categorical values in each group except for 1 differ by exactly one unit), I am very surprised that until now the only Pubpeer comments are by two MDs and by myself, pointing to some inconsistencies between tables and figures. https://lnkd.in/duFQDccr I have also formally asked the authors for the individual participant data. Perhaps given this is not some random wacky study about how much food can one eat in a fast-food or some obscure paper citing another obscure retracted paper, but the SINGLE study that now underpins the retrospective post-marketing approval of an entire treatment, the very large community of people who want to correct science ASAP particularly when findings have huge policy implications could join me in scrutinizing this study to make sure findings are reliable and that the data are correct and analyzed correctly. | 13 comments on LinkedIn