epidemiology

5 ms·

1.
by epidemiology 8mo ago
Or riding in an uber?
2.
by epidemiology 9mo ago
The world runs on capital until it runs on votes, and sometimes bullets.
3.
by epidemiology 9mo ago
I think you could say it's inevitable because of the size of both the good AND bad opportunities. Agree with you and the original point of the article that there COULD be a better way. We are reaping tons of bad outcomes across social
4.
by epidemiology 1y ago
Not sure what being personable has to do with knowing how to use a computer.
5.
by epidemiology 1y ago
Let me guess. You already own a home?
6.
by epidemiology 1y ago
This is one of those extremely important points that we say every once in a while and then forget to emphasize. Opposing good ideas or supporting bad ideas because they somehow get tagged into weird ideological buckets along with completel
7.
by epidemiology 1y ago
Wow this is an excellent point and really undermines the article conclusions. We should always be looking at unadjusted scores as well as a whole series of adjusted scores with a variety of methods. Just grabbing one highly adjusted score
8.
by epidemiology 1y ago
China burns more coal than the rest of the world combined.
9.
by epidemiology 1y ago
It's not that we haven't thought up the statistical tools. The core theoretical tools you need are there. It's that gathering the data that you need is extremely difficult and time consuming. If you gather EHR or medical cla
10.
by epidemiology 1y ago
>If it's as pivotal as the article suggests Let's be honest, this is a longshot.
11.
by epidemiology 2y ago
You'll get a lot of haters from the petite bourgeoisie tech landlord crowd here but this is a good idea. The more tools to help renters negotiate against the countless predatory landlords the better. Even better would be ways to repo
12.
by epidemiology 2y ago
Me never wanting to live next door to my landlord caring a lot.
13.
by epidemiology 2y ago
The largest problems with most publications (in epi and in my opinion at least) is study design. Unfortunately, faulty study design or things like data cleaning is qualitative, nuanced, and difficult to catch with AI unless it has access t
14.
by epidemiology 2y ago
AI tools are hopefully going to eat lots of manual scientific research. This article looks at error spotting, but you follow the path of getting better and better at error spotting to it's conclusion and you essentially reproduce the w
15.
by epidemiology 2y ago
Crypto is a technology. Pro-crypto vs anti-crypto is just as stupid as pro-computer vs anti-computers. We're seeing a moment now where the "pro-crypto" team is bifurcating (really this has always been true but it's more
16.
by epidemiology 2y ago
This is exactly what the dems need. Currently we have two options. #1 status quo complacency which does things like congressional insider trading, identity politics, is completely ancient, and useless and ineffectual in identifying or imple
17.
by epidemiology 2y ago
In introductory epidemiology courses you'll usually get the Bradford Hill criteria in the first week or two, which gives a good foundation of determining public health causality. After digging deeper, the entire field of causal infere