276 karma · joined November 15, 2022
You're right about the copycat behavior. This goes all the way to top of funnel: these small, even trivial-scale web application startups just don't have hard engineering problems. Many imagine they do, or imagine they will once they take off, but the work they're offering these high powered candidates they claim to want to hire is like, wiring up CRUD apps and making javascript buttons. It's not technically deep work, it's product work. A little humility about whether or not your tech startup is truly doing "tech" problems would, I think, fix some of the expectation/reality mismatch people are having when they complain about how hard it is to hire engineers.
And sure, lots of people join Google to work on world-scale problems and end up wiring CRUD stuff anyway. But they can at least plausibly offer some technical depth (or could anyway, perhaps Google's reputation as a great place to develop an engineering career has been fading).
(this is not to knock on "CRUD" but to highlight that a technical problem solver is an overlapping but not identical skillset to someone who can work with a fast moving team to quickly and reliably develop product changes)
Also, stop giving take home projects. Bad candidates will cheat them and good candidates will not even do them. If one of the random startup names listed on the author's site sent me a 12 hour take home project I would delete the email. Do you think they pay twice as much as the bigger company that only makes you waste 6 hours doing a whiteboard? I doubt it.
If you wanna read em:
Paquay, François S., et al. “Absence of Geochemical Evidence for an Impact Event at the Bølling-Allerød/Younger Dryas Transition.” Proceedings of the National Academy of Sciences of the United States of America, vol. 106, no. 51, 2009, pp. 21505–10
Surovell, Todd A., et al. “An Independent Evaluation of the Younger Dryas Extraterrestrial Impact Hypothesis.” Proceedings of the National Academy of Sciences of the United States of America, vol. 106, no. 43, 2009, pp. 18155–58.
Update: Found (some?) ice core evidence, it is indeed more recent, but I'm hopelessly out of my wheelhouse at this point so I'll just cite it for anyone also interested and suggest that these more recent publications do seem pretty confident in their conclusion that the impact did happen. So it seems user moloch-hai is correct:
Petaev, Michail I., et al. “Large Pt Anomaly in the Greenland Ice Core Points to a Cataclysm at the Onset of Younger Dryas.” Proceedings of the National Academy of Sciences of the United States of America, vol. 110, no. 32, 2013, pp. 12917–20.
Pretty cool stuff, thanks for sharing and prompting me to learn more about it.
My guess is in most cases you'd still end up with an avenue for merit based layoffs, they just wouldn't start until new hiring had been completely stopped, and perhaps include an option for everyone to take a pay cut instead (which might be bad! but it's an idea I've heard floated by engineers way more than seniority based protections).
I think you're both right, the 1807 version published by Tabart added the moral justification for the killing of the giant which is still common today. But the story may originate in pre-history oral tradition, where it's anyone's guess whether or not Jack is a remorseless violent thief.
I think the main problem is actually that Aella herself is not a faceless researcher but a somewhat controversial online personality who used her own brand to find participants. So for example anyone who blocked her on twitter probably didn't have a chance at taking this, even if they are also likely to be closer to kink communities than the average twitter user who wouldn't even know of her existence.
I'm not sure this is representative of anything other than "people who follow Aella and are interested enough in the topic to fill out a self-report survey".
The Boston housing prices dataset has an ethical problem: as
investigated in [1], the authors of this dataset engineered a
non-invertible variable "B" assuming that racial self-segregation had a
positive impact on house prices [2]. Furthermore the goal of the
research that led to the creation of this dataset was to study the
impact of air quality but it did not give adequate demonstration of the
validity of this assumption.
The scikit-learn maintainers therefore strongly discourage the use of
this dataset unless the purpose of the code is to study and educate
about ethical issues in data science and machine learning.I agree it's suspicious though! I hope it's thoroughly investigated and his bail revoked if he is in violation.
They've found some tables of similar estimations, which apparently match the results you get when you apply the author's algorithm, suggesting that's what the Babylonians used as well. I don't think the method itself is actually attested anywhere in known texts.
I don't think this is right, isn't the etiology of Alzheimers still pretty much completely unknown?
I have a feeling we're going to have to stick this kind of thing in every piece of input processing middleware over the next couple years.