727 karma · joined June 25, 2015
You could argue that when people say the rich should pay "more", they're talking about effective rates, but a lower marginal income tax rate would be a funny way to raise top earners' effective tax rates.
Did you know the richest 2.7% of all earners pay > 50% of all receipts collected by the government(1)?
Or that -- when asked explicitly whether the rich should pay more -- most (3/4) people, like you, say "yes", but when asked what the tax rate should be for top earners, precisely 3/4 of respondents said it should be 30% or below(2). Again, the top rate is 43% right now.
(1) http://www.pewresearch.org/fact-tank/2016/04/13/high-income-...
Occam's razor. Bayes theorem. Seems incredibly unlikely that there was a second shooter or accidental fluke shot from a secret service agent that just happened to occur right when Oswald was intentionally and purposefully doing it himself.
Modeler by trade, had to learn all the back and frontend stuff myself, been really fun so far.
Seems sort of like an Echo/Home plus, where you could just get crushed if Amazon starts adding the ability to send texts or something.
A cursory reading of the literate suggests at least some evidence that the differences can't be explained by socialization, for example. See:
"In her preface to the first edition, Halpern wrote: “At the time, it seemed clear to me that any between-sex differences in thinking abilities were due to socialization practices, artifacts and mistakes in the research, and bias and prejudice. ... After reviewing a pile of journal articles that stood several feet high and numerous books and book chapters that dwarfed the stack of journal articles … I changed my mind.”
"Why? There was too much data pointing to the biological basis of sex-based cognitive differences to ignore, Halpern says. For one thing, the animal-research findings resonated with sex-based differences ascribed to people. These findings continue to accrue. In a study of 34 rhesus monkeys, for example, males strongly preferred toys with wheels over plush toys, whereas females found plush toys likable. It would be tough to argue that the monkeys’ parents bought them sex-typed toys or that simian society encourages its male offspring to play more with trucks. A much more recent study established that boys and girls 9 to 17 months old — an age when children show few if any signs of recognizing either their own or other children’s sex — nonetheless show marked differences in their preference for stereotypically male versus stereotypically female toys."
https://stanmed.stanford.edu/2017spring/how-mens-and-womens-...
Is this the end all be all? No. Does it mean women can't be good engineers? No. Does this episode lead to more self awareness all around? Hopefully.
The fact many supporters of this guy's firing are treating these principles as technicalities is troubling. The first amendment is a starting point, not a loophole.
It's purely anecdotal, but the two women math majors I personally know are high school math teachers, which would be more "people". Are math teachers enough to account for a 20% (engineering) to 45% (math) difference? Probably not, but I think it is more open ended in terms of what math majors end up doing vs engineering or computer science.
I find Scott's arguments persuasive though, and could easily be fitting my memory/interpretation/facts etc to work within other beliefs. Post hoc rationalizations like this are always tricky.
https://pmc.gov.au/sites/default/files/publications/beta-goi...
"Well actually, the first amendment only protects against government intruding on free speech, it doesn't apply to the rest of us!"
Free speech used to be the thing everyone agreed on. It's like a fundamental tenant of Western, liberal democracy has gone out of vogue.
"As the feminist movement gradually took hold, women conquered one of these fields after another. 51% of law students are now female. So are 49.8% of medical students, 45% of math majors, 60% of linguistics majors, 60% of journalism majors, 75% of psychology majors, and 60% of biology postdocs. Yet for some reason, engineering remains only about 20% female.
"And everyone says “Aha! I bet it’s because of negative stereotypes!”
"This makes no sense. There were negative stereotypes about everything! Somebody has to explain why the equal and greater negative stereotypes against women in law, medicine, etc were completely powerless, yet for some reason the negative stereotypes in engineering were the ones that took hold and prevented women from succeeding there."
One the one hand, I sort of get it, given historically people have used biology/similar arguments to justify a lot of awful things. If Hitler was around now, it'd be sort of disgusting to ask people to engage his argument on its merits (this is where some of the Nazi language re: this manifesto comes in I think).
But, when it's presented like it is here, making clear that individual variation is much greater than differences between groups (e.g., he's not talking about existing female engineers at google or anyone else in particular), stressing that diversity/human dignity/worth etc are all paramount even if there are group level biological differences/trends. Then I think the lynch mob/monoculture/not engaging reaction is in the wrong, and the reaction to this very much proves one of the guy's main points. But that's my two cents.
1. Top down. Where you start with a problem/decision, and use data to inform it. "What phone plan should we offer our customers?" per the article is topdown, and data science can help inform the answer.
2. Bottom up. Where you start with a bunch of data, and try to brainstorm, "OK what cool things can we do with this?". I worked for an IOT company that collected a bunch of sensor data and we'd run into this all the time. We'd take our best shot and report back to clients, who'd say, "Cool, but what do I do with this?". Not saying you can NEVER come up with something useful, but it's a lot harder.