i_phish_cats

then ban me

But, is it effective? It seems many of the the 'gig' companies are simply floating on Saudi (aka venture capital) money and have yet to turn a profit. And it's not like gig-workers are much better off than minimum-wage workers.

Selfish gene is a popular science book, not a text book. You want to learn something? Get a dense, highly-regarded text book with lots of problems and work through the problems. Supplement it with lectures, or more importantly, office hours at a prof or grad student who knows the subject cold. Maybe even get a mentor to give you a real problem and struggle through it for several years (aka go to graduate school). That's how its been done for centuries because it works. Why else do you think there are so few self-taught (real) engineers and (real) scientists out in the wild making an impact.

I wrote a PDF parser in golang a few years ago and it was an extremely unpleasant experience. No polymorphism means I essentially have to cast everything to void* aka interface{}. Rewrote it in C (the rewrite was quite easy actually) which at least made the lib accessible to other languages.

I predict nothing will change. Flaws in p-values and confidence intervals have been apparent since almost their inception. Jaynes spoke out against it strongly from the 60's on (see, for example, his 1976 paper "Confidence Intervals vs Bayesian Intervals"). Although I can't find it right now, there was a similar statement about p-values from a medical research association in the late 90's. It's not just a problem of misunderstanding the exact meaning of p-values either. There are deep rooted problems like optional stopping which render it further useless.

The problem is that with all its problems, statistical significance provides one major advantage over more meaningful methods: it provides pre-canned tests and a number (.05, .01, etc) that you need to 'beat'. The pre-canned-ness/standardization provides benchmarks for publication.

I once worked in a computational genomics lab. We got a paper into PNAS by running fisher-exact test on huge (N=100000+) dataset, ranked the p-values, got the lowest p-values, and reported those as findings. There's so much wrong with that procedure its not even funny.

"First they laugh at you, then they fight, then you win" -- Elizabeth Holmes.

Yes, I can see it now. So, we have a bunch of millennials that have no idea how to manage a pantry because they only eat at their company cafeterias or dine at restaurants. Instead of thinking "gee I'm almost out of coffee I'll go buy some", they get a bunch of wifi scales. And then a better one with more features comes out, and the old ones get shipped to SE asia so a 5 year old can try to recover some recyclables from it. Then the company that makes it goes bankrupt and every scale becomes useless. And more electronic waste gets shipped to the 3rd world.

If only there were trailer parks or other cheaper housing options around here. Fuck NIMBY's.

So, where's data?

Sounds like he was just trying to hit on you.

what kind of MBA brain washing are managers receiving that make them think most people wouldn't prefer working from home, if given the chance?