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by CrazyStat 33 days ago
The goal of a PhD is to become a world expert in a specific topic, whether or not you’re planning on staying in academia.

This may or may not be in alignment with the student’s goals, and many students don’t really understand it going in.
1 comments
caminante 33 days ago
Yes, they don't realize it or lie to themselves because ~50% dropout.

Given the attrition, I really question if PhD programs are honest with incoming prospects. Law schools and business schools are similarly "guilty" of pimping outcomes.

ITT: it's people complaining about being overworked and mislead in their PhD programs.

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mrlongroots 33 days ago
> Yes, they don't realize it or lie to themselves because ~50% dropout.

I think there's some misinterpretation here. Not staying on in academia after PhD (common/modal) is not the same as not getting to complete a PhD (rare).

In CS/tech, those who exit academia after PhDs get paid $300K-$500K in the industry. I don't think there's any misleading going on.

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caminante 32 days ago
>is not the same as not getting to complete a PhD (rare)

BTW, your perspective is bizarre.

Not sure where you're getting the idea that PhD candidate attrition is rare. Maybe at MIT where only 20% don't finish (within 10 years -- which is generous), but these are already pre-screened superstars. Most other places converge around 50%.

As for salaries, the median salary for CS PhDs outside academia is $180k. That means a lot are lower and probably aren't working at big tech with full comp pushing them above $300k. [0]

[0] https://ncses.nsf.gov/pubs/nsf26312

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fc417fc802 33 days ago
PhD programs have remarkably high attrition rates prior to graduation (ie dropout). I don't know that it's 50% and obviously it varies by institution and field but it's quite large.
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caminante 33 days ago
>In CS/tech, those who exit academia after PhDs get paid $300K-$500K

Yes, I'd like to see data on what percentile gets this and breaks even for lost wages from their PhD years. IMHO, it's not fair to generalize this outcome. I could be wrong.

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