lapsedacademic

Joined 4 years ago

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Comment · 4 years ago
Is that true anymore? Everyone I know is always on the job market, even folks who haven't jumped employers in 10+ years are regularly in idle conversation with the job market.

But, the honest answer to your boss's question: what bothers me is trading my time for money. My comp doubled. I can now afford to stop working in 3-5 years instead of 10+ years. I think this attitude has become much more common in the last 5-10 years.

Comment · 4 years ago
The observation isn't that opposition to big tech is always irrational or partisan.

The observation is that Big Tech plays the role of Powerful Boogeyman for both the left and the right in polarizing narrative construction.

Ofc non-partisans can also dislike big tech, and partisans can dislike big tech for rational reasons. Neither of those is inconsistent with the above observation.

Comment · 4 years ago
> If you want to subpoena information, you need to be specific and targeted

On one hand, a congressional subpoena for "non-public moderation discussions and policies" is broad. On the other hand, there is certainly some version of that request that is within reasonable scope for a subpoena. In the hypothetical world where passing legislation in the US were still possible and Congress was capable of regulating Big Tech (e.g. changing Section 230 or so on), this is exactly the sort of thing a Congressional Subpoena would make sense for, since there would be a germane policy making interest in obtaining this information.

> I just don't see what warrants this round of grandstanding.

The paradox of Big Tech: everyone hates Big Tech because they think their political adversaries control Big Tech.

The Left views Big Tech as monopolies controlled by techno-libertarian ultra-billionaires. The Right views Big Tech as Democrat companies controlled by radical leftist censors.

(As an aside: in a sense, both views have a kernel of truth. Big Tech employees skew left, especially on social issues, although not nearly as homogeneously as the right seems to think and individual FAANG employees have far less power than people seem to imagine. On the other hand, the leadership of these companies are definitely not natural allies of progressives, but are also not -- AFAICT -- nearly as villainous as the left seems to think.)

But the real thing that both have in common is conspiratorial brain candy with Big Tech as the modern stand-in for Illuminati or whatever.

Comment · 4 years ago
Comment · 4 years ago
I'm in an awkward situation because I'm in R&D, so every job I've had uses DS/A style stuff intensely every day. The engineers I hire are mostly there to help me with my work, so they need the DS/A style stuff. I don't really care about someone having a college degree, but they do need a level of maturity equivalent to an upper-division algorithms course to be productive/useful.

It is odd that jobs which don't require this knowledge test for it.

Comment · 4 years ago
Thanks for your research. That makes a lot more sense.
Comment · 4 years ago
So don't merge their forks?
Comment · 4 years ago
-1M for a religion degree from Talmudical Seminary of Bobov... where tuition after aid is $7,549.

...how do you even spend $1M on a religion degree that costs less than $10k/yr?!

Surely this is just actual straight-up white-and-black fraud, or some sort of weird data entry error, right?

Comment · 4 years ago
Honestly, sounds amazing.

If I have code where that isn't literally free labor for my business/project, I'll keep it closed source. If I have code where that's free labor but also competes with or commodifies my business/project, I'll keep it closed source or use GPL.

This sort of boils down to "only use MIT if you really mean it", right?

Comment · 4 years ago
> Yes, but you chose a specific article to post to refute a specific claim.

Yes it does! I think you're misreading OP's post.

What was OP's claim?

>> The most accurate predictor of a person's lifetime income is the income of their parents. Children of wealthy parents are more likely to go to college. It's like saying "People who drive expensive cars in high school make more money over their lifetime, period".

OP's assertion about "best predictor" is true but irrelevant. The interesting question is why?

OP asserts that the answer to that question is literally "for the same reason that rich kids drive BMWs".

OP is asserting that college has the same causal effect as a parent purchasing a BMW for a child. I.e., none at all, it's just a proxy for parental wealth.

That strikes me as an unlikely causal hypothesis.

Could there perhaps be a reason other than parent income that the child of an MD drives a BMW to school? Probably not.

But could there perhaps be a reason other than parent income that the child of an MD does well in their premed program? Seems likely.

And indeed, the above article establishes a causal link that's directly relevant to falsifying that assertion, that college == bmw in terms of causal effect.

Elsewhere, OP asks if the college wage premium persists across family backgrounds. I think perhaps something related to that question is what you perhaps read into their post. But that's not actually the claim they are actually making in that post.

(BTW: CWP and PEP are positive for students from low income backgrounds... these are just numbers you can look up... why am I the thread secretary for basic statistics?)

Comment · 4 years ago
> What you want is a study that shows that people from lower income quintiles that go to college have a higher lifetime earning than people from the same quintile that didn't go to college. Maybe that exists? if it did, I'd imagine the pro college people would be waving it around everywhere.

Yes, there is a large college wage premium for students in lower income quintiles. The most that can be said is that it's smaller, but still quite large.

I assumed the point of contention was a more nuanced question about causation, since the above is just a simple factual question that can be checked without any sort of analysis.

Comment · 4 years ago
I see. Makes sense. I was thinking more about "general social status", rather than job-specific stuff, because that's how I interpreted OP.

> We also continue to interview in ways that are more accommodating for college graduates and attendees, regardless of whether it's needed or not.

Wouldn't Leetcode-style interviewing be more egalitarian? Assuming self-taught people know their stuff, I guess? The alternative in other engineering disciplines is to just check the degree and do some soft interviews, right?

Or do you mean something else?

Comment · 4 years ago
Thanks. In any case, I'm not sure why we're discussing cherry picked datapoints when someone already posted national averages...
Comment · 4 years ago
> best predictor

But why? What are the CAUSAL relationships between parental earnings, educational attainment, and child earnings? The children of doctors are more likely to become doctors, but saying that educational attainment is therefore less related to doctoring than parental occupation is obviously a bit absurd. Just because a parent paves the path doesn't mean that educational attainment is irrelevant to walking that path. And anyone who makes it through med school and residency has the option to enjoy high earnings, regardless of parental income.

The MD example, for the curious and humble reader interested in Truth rather than Winning, makes it abundantly clear why section 3.6 of the linked paper asks a question that's directly relevant to untangling these causal links.

> Do you have another study?

There's an entire literature base on exactly this question. "lifetime earnings parental earnings education" returns 130K results on Google Scholar. But, to be blunt, I don't think you're interested in learning anything. I think you're interested in Winning the thread. So I'm not posting for your benefit; that would be futile. I'm posting for the benefit of intellectually curious readers.

Comment · 4 years ago
> Stop this.... I question the statistical literacy...

Ugh. Why?

You asked for a statistically grounded conversation, so let's do that.

Let's start, for example, with pdf page 25 (and surrounding context) of https://davidcard.berkeley.edu/papers/causal_educ_earnings.p...

The analysis done in that paper is a good starting point for a productive conversation. We could discuss the bounds on various coefficients and decide whether the conditional statements about those coefficients made in the paper have clear answers in either direction. Or we could critique the various modeling assumptions. Etc.

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