When the get-Al-Capone tactic (catching a hyper-criminal on minor charges) is used against a former President, who is also a front-runner in the forthcoming primaries, will re-legitimise Trump's nastiness in the eyes of 50% of Americans and blow up what is left of US democracy.
@Mr080guy @SentientPotato6 ❌ Uni: 47m
✅ Clinic: 13m
❌ School: 20m
❌ Supermarket: 37m
✅ Pharmacy: 13m
❌ Library: 59m
❌ Park: 17m
✅ Bar: 11m
✅ Corner Store: 13m
❌ Gym: 38m
❌ Cinema: 50m
all of these are <20m by bike. 15 by ebike. bikes are the way
Yep. This really nailed it. "Suck on this" was the whole reason we invaded a country that didn't threaten us in any way, resulting in the deaths of 100,000s of innocent people.
My team at Meta, Core Data Science, is looking for a Ph.D. intern for next summer (London/Tel Aviv).
https://t.co/McEl0pAMuw
Feel free to reach out to me if you are interested or have any questions.
@maya_sen@pkphlam@poliscibitches@profTLe i don't think social science phds are considered luxury goods. a) nobody cares what you got a phd in after you are hired and b) some of roles we are in are measurably impactful and have that going for us
@zeitzoff @Scott_E_Page it did for a while and then died out. it was a hot thing when i took a class with him in like 2015. i think the fundamental problem is we don't have good enough measurement for most really complex phenomena. it is more of a thing in econ i think.
A fantastic perspective, which resonates with me. I have played the guitar, piano, baritone sax, and bassoon, and performed in musical theater. I didn't do any of these well enough to lead me anywhere in particular. But that doesn't really matter!
@Noahpinion the problem with this is adversarial adaptation. most of the policies/enforcement systems can be circumvented and telling users how/why they are being enforced on will just allow them to figure out how to beat the system.
@rudabagle @CaleyFretz i can't think of a single "classic" ml method that was statistically motivated. most of them still have weak statistical theory. trees, rf, boosting, svm, etc.
@rudabagle @CaleyFretz those are totally different problems. not everything is about causal inference. there are loads of purely detection problems. having good features is important, a/b tests useful for measuring improvement, but they are compliments not substitutes
@rudabagle @CaleyFretz much of modern ml is not motivated by statistical theory. statistical theory comes much later and generally describes a very simplified version of the method
@rudabagle @CaleyFretz that is nonsense. yes where the data comes from is important as is the framing of the problem. but all of ml/ai is *not* stats. nor is ds just the practice of stats. thought this debate was over in like 2015