tomq's comments

This new paper finds 10% higher likelihood to acquit per hour of fasting. That’s huge. Imagine you’re in the criminal’s shoes. The original also found a marked impact of hunger on acquittal rates.

They real story here is that a just system would have no relationship between judge hunger and acquittal rate, and both studies show human judges fall far short of that mark.

The authors make a classic mistake: the brain is not comparable to a Turing Machine, it is a finite state machine. There’s no infinite tape in a brain.

A detailed follow-on study found a 4,000-mile radius sphere centered on the earth’s core contains ~100% of earth’s population. Scientists stunned.

One of the unfortunate things about the GM foods debate is how rarely the details of a particular crop are considered. What method was used to engineer it? What gene was added in or modified? What is the IP approach used by the inventor? What are the results of field trials? For all the strong opinions I’ve seen, nobody mentions these specifics. It’s like deciding someone is guilty or innocent of a crime when all you know is that they’ve been charged.

Barely significant results like this are suspect. See https://www.vox.com/science-and-health/2017/7/31/16021654/p-... for a good overview. TLDR: the smart money is on this result failing to reproduce.

Thanks, your points make sense. It’s definitely a worrisome coincidence given the multiple tests they ran but didn’t correct for. I hope to see that knockout experiment you describe!

It's a good point. Why would the length effect you describe be be associated with age, across many organs, cell types, datasets, and species? The technical effect would be a good explanation for this finding in one dataset, but it seems unlikely that many datasets would have a technical length effect that correlates with age by chance.

It’s important to note: the study only had 20 participants, so it wouldn’t have enough statistical power to detect a moderately large effect. Failure to find an effect is different from evidence there is no effect.

This is an interesting article, but the core argument that aging is an inevitable result of physics and not biology has a counterexample. It’s the biologically immortal hydra: https://en.m.wikipedia.org/wiki/Hydra_(genus)

There are many good examples in history of oppression making a movement stronger. Think of the Boston massacre, Rosa Parks, or British treatment of Ghandi. That said, the plural of anecdote is not evidence.

In the similar domain of terrorism, the following highly cited study finds that military occupation is the leading cause of suicide bombing: http://www.ir.rochelleterman.com/sites/default/files/pape%20...

So that's good evidence for a blowback effect.

That said, the above arguments are against government oppression of a movement. Actions by localities to remove statues or by private companies to not provide a platform for hate speech are a different ballgame. It's not obvious they lead to blowback.

This study is completely disconnected from biological reality. Exercise is the only general-purpose life-extending intervention we know of with certainty. See for yourself: https://en.m.wikipedia.org/wiki/Physical_exercise

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Evidation Health | SF Bay Area | https://www.evidation.com | Full Time | ONSITE

We are a team of mission-driven experts in precision medicine, machine learning, behavioral economics, health outcomes research, and design. We generate economic and clinical evidence for digital health technologies and enable regular people to participate in finding the best tools to help make managing health just a little easier for everyone.

We are Series A funded by GE Ventures and Rock Health with fast-growing revenue.

Positions Available:

Senior Software Engineer: http://www.evidation.com/careers/engineering/sr-software-eng...

Software Engineer: http://www.evidation.com/careers/engineering/software-engine...

Evidation Health | SF Bay Area | https://www.evidation.com | Full Time | ONSITE

We are a team of mission-driven experts in precision medicine, machine learning, behavioral economics, health outcomes research, and design. We generate economic and clinical evidence for digital health technologies and enable regular people to participate in finding the best tools to help make managing health just a little easier for everyone.

We are Series A funded by GE Ventures and Rock Health with fast-growing revenue.

Positions Available:

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Evidation Health - San Francisco or Santa Barbara, CA

We're hiring data scientists, data engineers, and software engineers to optimize healthcare. Work with a small, uniquely capable team including the ex-COO of Sense Networks, ex-CTO of OkCupid, and ex-CCO of CardioDx.

http://www.evidation.com/careers/