[Creative Writing Contest] Swimming Lessons 2021-10-29T04:38:39.805Z


Comment by drwahl on Effective [Re]location · 2022-05-14T04:57:08.820Z · EA · GW

I've been thinking about relocation recently too, though mostly through the lens of finding a better wintering location in the US. This post inspired me to at least upload (if not exactly document) my analysis to date. See here:

And the current top 10:

                                         biking   housing     vegan    winter  summer     total
City             State                                                                         
Berkeley         California            2.142016 -2.166879  2.770248  3.772590     0.0  1.303595
Gainesville      Florida               1.117079  0.854543  0.780399  3.384664    -0.0  1.227337
Tempe            Arizona               1.329176 -0.184675  1.161235  3.508773    -0.0  1.162902
Portland         Oregon                1.999723 -0.720326  2.868659  1.473931     0.0  1.124397
New Orleans      Louisiana             0.739080  0.053609  1.451345  3.197368    -0.0  1.088280
Hollywood        Florida              -0.717470 -0.222100  2.601399  3.434937    -0.0  1.019353
Boulder          Colorado              2.702441 -1.017822  0.899562  2.222392    -0.0  0.961315
Cambridge        Massachusetts         2.433792 -1.559463  1.255650  2.648835    -0.0  0.955763
Orlando          Florida              -1.171810  0.527952  1.594634  3.601198    -0.0  0.910395
St. Petersburg   Florida              -0.573223  0.002294  1.410371  3.478732    -0.0  0.863635

(Scores are log2 where 0 is Chicago, and total is the average of each row.)

Of the factors mentioned above, this focuses almost entirely on (my) "Personal fit" via considering things like weather, bike-ability, vegan-friendliness, etc. But I'm also keen to explore the "Coordination with other EAs working on shared cause areas and projects" and "Opportunities for movement-building in non-saturated EA hubs" points via new community Schelling points (hence the name).

Comment by drwahl on Listen to more EA content with The Nonlinear Library · 2022-01-31T17:59:44.848Z · EA · GW

Originally I made a digital SSC podcast (feed) so that I could listen through the back catalog of posts (the human reader version didn't start until ~2017). I ended up getting used to the robot narrator, so I just kept it running on ACX. One small upside is that the digital versions get created within minutes of new posts.

Comment by drwahl on Listen to more EA content with The Nonlinear Library · 2021-10-29T01:40:06.940Z · EA · GW

This is awesome! I did something similar for Astral Codex Ten (feed, post) a while back. The human version is also good, if you like that kind of thing.

Comment by drwahl on What novels, poetry, comics have EA themes, plots or characters? · 2021-07-25T21:04:18.271Z · EA · GW

Here are a few other forum posts on the general topic of fiction and EA.

Comment by drwahl on Technology Non-Profits I could volunteer for? · 2020-10-21T03:00:47.914Z · EA · GW

Here's a sheet with a bunch of EA(-adjacent) tech initiatives:

Comment by drwahl on Cause X Guide · 2019-09-02T05:22:03.528Z · EA · GW

Along these lines, preventing childhood lead poisoning is another potential candidate.

Comment by drwahl on Uncertainty and sensitivity analyses of GiveWell's cost-effectiveness analyses · 2019-09-01T17:17:10.861Z · EA · GW

Thanks for this (somewhat overwhelming!) analysis. I tried to do something similar a few years back, and am pretty enthusiastic about the idea of incorporating more uncertainty analysis into cost effectiveness estimates, generally.

One thing (that I don't think you mentioned, though I'm still working through the whole post) this allows you to do is use techniques from Modern Portfolio Theory to create giving portfolios with similar altruistic returns and lower downside risk. I'd be curious to see if your analysis could be used in a similar way.

Comment by drwahl on How do EA Orgs Account for Uncertainty in their Analysis? · 2017-04-05T17:24:40.432Z · EA · GW

I've done a little work on this, using techniques from modern portfolio theory, and uncertainty estimates from GiveWell and ACE to generate optimal charity portfolios. See here for a background post, and here for my 2016 update.