Proud of the work we did here exploring the effects of a quasi-random increase in gun availability on different varieties of gun violence, and thrilled to get a byline! Write-up in Times Ideas based on our study published BMJ:

Our latest out today in @bmj.com finds increases in firearm incidents during the beginning of deer hunting season in the U.S.--both hunting realted AND non-hunting related firearm incidents--using data from the Gun Violence Archive.

www.bmj.com/content/389/...

The US WW2 medical research and development effort catalyzed postwar science, modernized drug discovery, and fueled the postwar National Institutes of Health — reshaping biomedical innovation for decades, from Daniel P. Gross and Bhaven N. Sampat https://www.nber.org/papers/w33457

Check out our new piece (with video!) in @time-magazine.bsky.social, about how science is often used to justify someone’s values, rather than inform tradeoffs based on those values, in debate on health issues (More to come with @time-magazine.bsky.social Ideas, too!)

time.com/7198764/scie...

ADHD diagnoses among children increase on Halloween, consistent with changes in behavior and highlighting subjectivity in the medical diagnosis, from Christopher Worsham, Charles Bray, and Anupam Jena https://www.nber.org/papers/w33232

Beep beep! Which occupations are associated with the lowest risk of death from Alzheimer's disease? Check out our analysis in @bmj.com Christmas Issue with some interactive graphics to explore links between Alzheimer's and navigational jobs 🚕🚑✈️🚢🚌 www.bmj.com/content/387/...

Check out this great writeup in @planetmoney.bsky.social by @elliswonk.bsky.social about our working paper and the types of cognitive biases that might be affecting medical care surrounding various holidays--or really any day
www.npr.org/sections/pla...

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Decades ago, Kris Hansen showed 3M that its PFAS chemicals were in people’s bodies. Her bosses halted her work.

As the EPA now forces the removal of the chemicals from drinking water, she wrestles with the secrets that 3M kept from her and the world.

www.propublica.org/article/3m-f...

It turns out that the major pharmacies in the U.S. routinely provide patient medical records to law enforcement without a warrant. The potential ramifications of this for anyone on birth control, ordering abortion pills, or medication for mental illness and other personal conditions are staggering.

Right, they were. That’s not what I’m talking about. When are most births happening, in any generation, has been a fairly fixed window (25-34), but there has been a lot of movement by generation within that window. I’m not deliberating over how long women can give birth

No, the same ages are not being compared. Mortality within age range, where the makeup of births by age is unknown within that range, is reported. One gen could have 90% of births at age 25, but another gen could have 90% at age 34 (extreme example), but it would be the “same” group

It’s a huge range given the context it’s in. It would be reasonable to splice it finer, or at least tell the audience it’s age-adjusted, because outcomes differ significantly across that range and the report may just be presenting a compositional effect

Yes, I’ve seen that too, but if the report’s authors are in fact using the age-adjusted rather than raw statistics, they certainly don’t say so. Not sure how reporting criteria not changing over 10 years is relevant to the cross-generation comparisons—report even says the comparisons may be bunk.

Agree, but my point is that the report tries to define a problem—that it’s more dangerous to be pregnant at the *same age* than it was in the past—but does not in fact compare people at the same age to each other. It’s already known that mothers are older now and pregnancy more dangerous as a result

That being said, maternal mortality spiked--across all ages--during the pandemic. Clearly not a non-issue! But any problem, if it really is a problem, needs to be captured with apples-to-apples comparisons.

Should really be age-adjusted. 25-34 is a huge range (it's much of the fertility window) and we know that a higher % of Millennial women give birth at the high end than past gens. So is it an age--or some other--effect? Along w/changing reporting standards, can we appropriately draw any conclusions?

Should really be age-adjusted. 25-34 is a huge range (it's most of the fertility window), and we know that a much higher % of Millennial women give birth at the high end than past gens. So is it an age or healthcare effect? Along w/changing reporting standards, it's difficult to draw any conclusions