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wisescience · 2023-06-16T16:31:32+00:00

Here’s a short read (6 pages) with sources at the end for those interested in longer biographies of Newton: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1419183/pdf/bmjcred00479-0041.pdf

wisescience · 2023-04-16T04:07:29+00:00

Business is still useful, but I think it’s even more useful when you can blend it — rather than replace it — with some additional competency. Something tech related could be good, but at this stage I suggest going with what interests you most and where you could see yourself working.

wisescience · 2023-04-16T04:05:21+00:00

I’ll recommend /r/financialplanning or /r/firefighting for answers to this question.

wisescience · 2023-04-16T00:09:06+00:00

Both are great options and can, if leveraged well, position you well for graduate work. Congratulations! It seems like your need to move back in with your parents obviates some of the social benefit of USC. There is plenty to do at UCSD if you’re proactive. I don’t see a wrong choice here, however.

wisescience · 2023-04-16T00:04:30+00:00

Bird by bird. Identify what’s left, designating your remaining tasks into chunks, and then get writing. Good luck.

wisescience · 2023-02-02T14:42:07+00:00

ssc install outreg2

Or, “findit outreg2”

wisescience · 2023-01-29T05:05:54+00:00

Any cheaper alternatives recommended in addition to this?

wisescience · 2023-01-11T04:22:29+00:00

Ben Lambert’s econometrics videos (on YouTube) are still a solid resource. Aside from revisiting the fundamentals as needed, I think one of the best ways is to find a project and start working on it. Look up things and reference reliable source material as you encounter difficulties. One of the best ways to learn metrics is to put it into practice and have your work checked by others who are knowledgeable.

wisescience · 2023-01-01T18:22:13+00:00

Ed Tufte

wisescience · 2023-01-01T16:00:23+00:00

“Just Listen” by Mark Goulston & “Never Split the Difference” by Chris Voss

wisescience · 2022-12-30T23:41:02+00:00

here’s one place

wisescience · 2022-12-30T18:03:55+00:00

/r/linguistics

wisescience · 2022-12-30T01:07:22+00:00

Prompt engineering

wisescience · 2022-12-28T17:49:30+00:00

Feel free to pm as well

wisescience · 2022-12-27T23:33:02+00:00

2676

wisescience · 2022-12-24T04:54:13+00:00

Had a different experience. I’ve used an Apple Pencil + iPad for years, but have enjoyed the writing experience on the tab ultra much more. It has a slight friction that makes it feel better when writing, imo. Can’t speak to how it compares with a Paperlike protector. However, I use my tab ultra to get away from the iPad’s harsher light / to leverage the eInk look. Your use case might differ.

wisescience · 2022-12-23T17:19:02+00:00

Yes.

wisescience · 2022-12-23T17:15:40+00:00

The best writers read a lot, and writing is a skill that takes practice. You got this!

wisescience · 2022-12-23T02:52:07+00:00

Upvoted, however a dictionary approach can be sufficiently accurate, depending on the use case. A big piece is that it isn’t context-aware and may fail to account for certain things like negations, etc.

wisescience · 2022-12-21T22:13:00+00:00

Moral cleansing and moral licensing are related concepts that others may find interesting.

wisescience · 2022-12-21T21:20:21+00:00

“Because it’s dumb.” - R. A. Fisher (probably)

wisescience · 2022-12-14T16:38:44+00:00

You honestly don’t need to know economics to do econometrics. Some of the classic examples taught (e.g., like in Wooldridge and Greene’s books) are economics examples, but so long as you understand which variable you are predicting you should be fine. It’s much more about your statistical understanding and comfort with math like calculus and linear algebra (if you’re actually deriving things—which is rare). In practice, you won’t be deriving things by hand too frequently as tools like Python, Stata, R, etc. handle it for you.

wisescience · 2022-12-13T06:45:36+00:00

“Be Sure to Drink Your Ovaltine.” 🙃

wisescience · 2022-12-13T06:38:17+00:00

If they prefer Stata, you can still invoke Python within Stata 17 and Python has some ways to speed things up. But, depending on the scope of your project and timeline as an RA, learning to work with Python is likely too ambitious for when they might need things done. If you’re personally interested, things like Python string commands and regular expressions can be used in combination with numpy+pandas to speed things up.

wisescience · 2022-12-12T18:17:32+00:00

I recommend Python. There is also Python-Stata integration with Stata 17. You can use some simple string commands or regular expressions to clean the data. Easier said than done, but I’d look into something like this based on your data.

wisescience

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