National median home price is $410k[1]. Texas is less than $300k[2]. Only thing that's unrealistic is most people who buy a house for $400k will probably get an FHA loan and put 3% down so will have a higher payment because of (1) mortgage insurance and (2) borrowing more money.
> Getting screwed in industry means you lose your right to an income and might never get it back.
Why is this? It really easy to get hired in industry after you've been fired from one job -- especially if you've been there for awhile. I've seen many postdocs or non-tenure-track professors forced entirely out of academia if their contracts aren't renewed. If they don't have skills valued by industry (not uncommon if you spent 5+ years post-PhD in academia), I've seen former colleagues never get a good job again.
This is a silly argument but I disagree. Seemed like a perfectly neutral statement to me, including "I insist on living in NYC because I think it's the best place to live"
I think this is really neat and I also like the HN tagline "learn computational science by tinkering with code" better than learning how to code and Data Science for Middle/High Schoolers.
I've been wanting to see something like this for a long time & think it's pretty neat!
I am really pleased Epic is conducting this lawsuit. Even if they lose the lawsuit, it seems likely they'll end up with at least a partial victory by shining light on Apple's practices.
Apple has been a great thing for the world but I find their App Store practices extremely distasteful.
It'll be harder for you than it would be for him but I still wouldn't discount it! Considering the alternative is (1) trying to get into a PhD program (might require a year or two of remedial classes with no guarantee of success) and then (2) spending 4-6 years doing a PhD, reaching out to the randos may well be much faster AND lowest risk.
If you're a software engineer, I'd venture a claim and say that the rando route will be easier. You have a valuable skillset researchers need -- you can code at a professional level. Use that to get your foot in the door!
I guess the question I have is "Did any *previous* research done by UMN successfully introduce bugs into the Linux Kernel git commit log?"
There are weasel words in this statement that make it unclear and the researchers have been really dishonest already. But! If it's true that their research has never made it out of email chains then it does seem like the reaction is a bit disproportionate to the damages here.
I've been skeptical of the AZ vaccine for awhile. I don't know much about biology but I do know statistics. And many of their published results smelled of p-hacking[^1] by cherry-picking the best countries and the best (often accidental!) vaccination regime. Well credentialed people don't actively criticize it because despite those statistical issues, the vaccine is likely still 60-70% effective which is a big deal. But! If the stats side of the house is a clown show, it hurts my confidence in the entire house, especially when BioNTech and Moderna have been great in this respect.
[1]: Perhaps not in the typical sense of "getting a statistically significant result" but in the closely related sense of "getting a larger effect size
Yea I agree. It all relies on (2) but they do a very poor job explaining what exactly the simulation is. If there is a paper by McNight, it isn't cited and I can't find it. Can't find it on his webpage[0][1] or google scholar.
This is a non-trivial simulation so the details are really important! Shame they are nowhere to be found.
> Under the new rule, the required wage level for entry-level workers would rise to the 45th percentile of their profession’s distribution, from the current requirement of the 17th percentile. The requirement for the highest-skilled workers would rise to the 95th percentile, from the 67th percentile.
This is pretty abstract and probably the most important detail. How much would a software engineer have to make to qualify? I'd figure it'd have to be at ~200k if it's 95th percentile. A number high enough and it truly would be for only highly skilled, hard to find software talent, rather than just labor cost cutting. Does anyone have concrete numbers?
That's pretty interesting! In my view, the set your own fare part and penalty removal definitely moves them from the "employee" zone to "self-employed" in the everyday definition.
Yea this is probably the best year to introduce unpopular, rent-seeking rules. You'll never be forced to see any of these people in person and the government has enough on its plate to even consider thinking about anti-trust issues.
I'm confused why they don't rip the bandaid off and just charge everyone at the same time though. Charging Tesla 30% probably isn't feasible but this seems like an ideal time to introduce fees for all companies that are currently allowed exemptions (Netflix, Lyft, Airbnb, Uber, Audible, Airlines etc). Yes they could put up a fight but at least some of them would cave.
Until the government gets involved, they are totally allowed to selectively and arbitrarily enforce the rules. Banning Hey but not Netflix just makes them look like hypocrites and makes them less money. Seems like the worst of both worlds.
Yeah I agree this looks like one of those times where the researches aren't interested in doing the stats at all so just mail it in.
Just ignoring the stats though the results seem pretty solid. 3x the number of citations with ~100 observations. If the tweets were truly randomly assigned and there aren't big outliers driving results (big ifs, not gonna go deep enough to find out), their conclusion should be fine.
I think the Buffalo incident yesterday[0] gives us a good indication of just how rare a good cop is. Even though there were dozens of cops that witnessed it, they all lied and claimed that "During that skirmish involving protestors, one person was injured when he tripped & fell".
Then, after the cops who nearly killed the man got suspended, all 57 people on that particular team resigned "in disgust because of the treatment of two of their members, who were simply executing orders,"[2].
Since you want empirical results, that is 0 good cops out of the 57 people on the force. We can employ the rule of 3 to establish an upper bound good cop rate as 5.2% (95% CI).
This isn't to say that the cops are by nature bad. Rather, the institutions and norms that exist in many police departments ensure that nearly all cops become bad cops.
Yeah I suspect Youtube's policies is the main reason to switch rather than any limitations with the audio podcast in RSS. They always have an enormous amount of concern in trying to follow Youtube's policies and not get demonetized/strikes. Given video RSS is not popular, switching to Spotify makes a lot of sense. The RSS feed may have been collateral damage.
It is breathtaking that conferences organized and attended by affluent tech employees are not being canceled when conferences like SXSW and ComicCon are being canceled.
It hurts the people behind SXSW and Comiccon much more to cancel their events but they did it anyways. Is our industry really so much more unethical than average?
I find his COTI quite misleading/confusing. It seems he is counting 100% of health care expenses (100% of premiums) but not counting the ~70-80% of premiums an employer pays the median employee in median weekly earnings.
In the college field, he also uses a semester if college tuition for some reason. Since this is a 1 time cost, it should almost surely be accounted for differently.
The article is also very confusing. He alternates between considering the inflation rate and not considering the inflation rate. I still don't know if he is claiming that BLS is claiming that, for cars, the inflation rate is 0.
I also find his COTI quite misleading. It seems he is counting 100% of health care expenses (100% of premiums) but not counting the ~70-80% of premiums an employer pays in median weekly earnings. In the college field, he also uses a semester if college tuition for some reason. Since this is a 1 time cost, it should almost surely be accounted for differently.
[1]: https://fred.stlouisfed.org/series/MSPUS [2]: https://www.zillow.com/home-values/6915/san-antonio-tx/