All of geoffrey's Comments + Replies

Not knowing anything else about your friend, CEA intro resources + saying you’d be excited to discuss it sometime sounds like the best bet.

Cruxes here include:

  • How deeply does your friend want to learn about EA? They might only want to engage with it for a week or sporadically. Or they may want to know that longtermism is a thing but not go through any (or much) of the moral calculus
  • How does their disability manifest? The little bit I know about intellectual disabilities suggests that it’s hard to know in advance how it affects your learning, even for th
... (read more)

Project-based learning seems to be a underappreciated bottleneck for building career capital in public policy and non-profits. By projects, I mean subjective problems like writing policy briefs, delivering research insights, lobbying for political change, or running community events. These have subtle domain-specific tradeoffs without a clean answer. (See the Project Work section in On-Ramps Into Biosecurity)

Thus the lessons can't be easily generalized or made legible the way a math problem can be. With projects, even the very first step of identifying a g... (read more)

I always read therapeutic alliance as advice for the patient, where one should try many therapists before finding one that fits. I imagine therapists are already putting a lot of effort on the alliance front

Perhaps an intervention could be an information campaign to tell patients more about this? I feel it’s not well known or to obvious that you can (1) tell your therapist their approach isn’t working and (2) switch around a ton before potentially finding a fit

I haven’t looked much into it though

2
Sanjay
4mo
My intuition says that people are probably already following the heuristic "if you don't like your therapist, try to get another one". I also haven't given much thought to the patient's/client's perspective on the therapeutic alliance.

Love this and excited to see more of it. (3) is the biggest surprise for me and I think I’m more positive on education now.

Interested to hear your thoughts on growth diagnostics if you ever get around to it

2
Karthik Tadepalli
5mo
I don't know enough about growth diagnostics to give any authoritative take. it seems like a pretty useful way to structure thinking/field observations, but with sweeping/high-level conclusions that don't feel quite so useful.

P.S. I imagine you’re too busy to respond, but I’d be curious to hear if these findings surprised you / what updates you made as a result

2
zdgroff
6mo
I didn't write down a prior. I think if I had, it would have been less persistence. I think I would have guessed five years was an underestimate. (I think probably many people making that assumption would also have guessed it was an underestimate but were airing on the side of conservatism.)

EA organizations often have to make assumptions about how long a policy intervention matters in calculating cost-effectiveness. Typically people assume that passing a policy is equivalent to having it in place for around five years more or moving the start date of the policy forward by around five years.

I am really really surprised 5 years is the typical assumption. My conservative guess would have been ~30 years persistence on average for a “referendum-sized” policy change.

Related, I’m surprised this paper is a big update for some people. I suppose that attests to the power of empirical work, however uncertain, for illuminating the discussion on big picture questions.

1
geoffrey
6mo
P.S. I imagine you’re too busy to respond, but I’d be curious to hear if these findings surprised you / what updates you made as a result

How Much Does Performance Differ Between People by Max Daniel and Benjamin Todd goes into this

Also there’s a post on “vetting-constrained” I can’t recall off the top of my head. The gist is that funders are risk-adverse (not in the moral sense, but in the relying on elite signals sense) because Program Officers don’t have enough time / knowledge as they’d like for evaluating grant opportunities. So they rely more on credentials than ideal

1
Stan Pinsent
6mo
Thanks, this is the kind of source I'm excited about!

I liked this a lot. For context, I work as a RA on an impact evaluation project. I have light interests / familiarity with meta-analysis + machine learning, but I did not know what surrogate indices were going into the paper. Some comments below, roughly in order of importance:

  1. Unclear contribution. I feel there's 3 contributions here: (1) an application of surrogate method to long-term development RCTs, (2) a graduate-level intro to the surrogate method, and (3) a new M-Lasso method which I mostly ignored. I read the paper mostly for the first 2 contributi
... (read more)
2
David Rhys Bernard
6mo
Hi Geoffrey, thanks for these comments, they are really helpful as we move to submitting this to journals. Some miscellaneous responses: 1. I'd definitely be interested in seeing a project where the surrogate index approach is applied to even longer-run settings, especially in econ history as you suggest. You could see this article as testing whether the surrogate index approach works in the medium-run, so thinking about how well it works in the longer-run is a very natural extension. I spent some time thinking about how to do this during my PhD and datasets you might do it with, but didn't end up having capacity. So if you or anyone else is interested in doing this, please get in touch! That said, I don't think it makes sense to combine these two projects (econ history and RCTs) into one paper, given the norms of economics articles and subdiscipline boundaries. 4a. The negative bias is purely an empirical result, but one that we expect to rise in many applications. We can't say for sure whether it's always negative or attenuation bias, but the hypothesis we suggest to explain it is compatible with attenuation bias of the treatment effects to 0 and treatment effects generally being positive. However, when we talk about attenuation in the paper, we're typically talking about attenuation in the prediction of long-run outcomes, not attenuation in the treatment effects. 4b. The surrogate index is unbiased and consistent if the assumptions behind it are satisfied. This is the case for most econometric estimators. What we do in the paper is show that the key surrogacy assumption is empirically not perfectly satisfied in a variety of contexts. Since this assumption is not satisfied, then the estimator is empirically biased and inconsistent in our applications. However, this is not what people typically mean when they say an estimator is theoretically biased and inconsistent. Personally, I think econometrics focuses too heavily on unbiasedness and am sympathetic to the

I’ve read conflicting things about how individual contributor skills (writing the code) and people management skills relate to one another in programming.

Hacker News and the cscareerquestions subreddit give me the impression that they’re very separate, with many complaining about how advancement dries up on a non-management track.

But I’ve also read a few blog posts (which I can’t recall) arguing the most successful tech managers / coders switch between the two, so that they keep their technical skills fresh and know how their work fits in a greater whole.

What’s your take in this? Has it changed since starting your new job?

3
Jeff Kaufman
7mo
I'm a fan of the going back and forth approach, though I don't think I've worked with anyone else whose done it. I've gone IC -> Manager -> IC -> Manager -> IC, based on organizational needs. On the other hand some people are just a really great fit for management and should specialize in it. How strong you need to keep your technical skills depends a lot on your style of management, your specific strengths, and whether your org uses a "tech lead" system. While advancement does dry up in many places if you're not willing to move into management, that wasn't my experience at Google. I knew some very influential (and well-compensated) non-managers. Though even if you stay on the technical track more of your impact still comes via other people: designing things, giving feedback on other people's designs, reviewing code, teaching other people how to do things, etc.

Flagging quickly that ProbablyGood seems to have moved into this niche. Unsure exactly how their strategy differs from 80k hours but their career profiles do seem more animals and global health focused

I think they’re funded by similar sources to 80k https://probablygood.org/career-profiles/

8
NickLaing
7mo
Thanks Geoffry, yes I agree that ProbablyGood have now basically taken over the niche of high EV near-termist career advice and are a great resource. As a doctor, I think their content on medicine as a career is outstanding A couple of reasons though (from above) why 80,000 hours might still be better having 20-30% near-termist content despite there being a great alternative. 1. Perhaps the argument I'm most interested in is whether 80,000 hours might produce more long-termist workers in the long term by having more of a short term focus. 2. ProbablyGood will probably never be.a "front page" of EA. As in I would imagine that 80,00 hours has 100=1000x the traffic of ProbablyGood, and I doubt many people first contact EA through ProbablyGood (happy to be corrected here though).  

This looks like a really cool framework! Hoping to experiment with the inputs sometime to inform my future career decisions / my thoughts on funding desk research versus original research / value of replications.

Moving some funders from an overall lower cost effectiveness to a still relatively low or middling level of cost effectiveness can be highly competitive with, and, in some cases, more effective than working with highly cost-effective funders.

I’ve suspected this but never had the framework to formalize it. Or what parameters my claim was sensit... (read more)

Do you think your area is more talent-constrained or cash-constrained? How about your particular role? Read this in whatever way makes sense

3
christian.r
7mo
I would say cash-constrained. There are plenty of good opportunities out there, and a field of smart scholars, advocates, and practitioners with transferable skills. Just need a lot more money

Thanks so much for this! I don't know why I ever thought about decomposing the idea of corruption but it seems like a really obvious framework now that you've mentioned it. Hoping to give that a read sometime.

4
ryancbriggs
7mo
Happy to recommend her work highly.

Hi Khai, this depends on what you want to do in the future. The short answer is no. Both statistics and maths are broad fields with solid generalizability and respectability. They also tend to vary a bit in difficulty, rigor and focus across schools.

Math is prob better for keeping the option of various fields of academia open. Stats is prob better for industry. But it’ll depend on the classes you take too.

The most generalizable classes will be:

  • Calculus Sequence
  • Linear Algebra
  • intro to probability and statistics

These are used in a very wide range of fie... (read more)

Quick thought on the tangent, which I’d also love to hear more thoughts on from other people.

I’m skeptical that corruption is a big obstacle to growth and development. Measurement and historical comparisons are tricky here, but corruption seems to be a pervasive feature across many societies.

Even the United States had its local political machines and share of bribery before the Progressive Movement in the 1920s tried to filter it out. And conventional wisdom credits the Industrial Revolution (of the 19th century before the US reduced its corruption) with o... (read more)

8
HStencil
7mo
The political scientist Yuen Yuen Ang has some great work addressing this neighborhood of intuitions. Her view is basically that “corruption” is decomposable into a several distinct types of phenomena, and some of these can be growth-promoting (as in China during the period between, approximately, Deng and Hu), whereas others can be fairly extreme impediments to growth.
3
NickLaing
7mo
Thanks Geoffrey it's and interesting discussion. I have mixed thoughts about this. There's a great section in the book " bad Samaritan's" by the awesome economist Ha Joon Chang which makes this argument very well.

My 2 cents:

Good advice but I’ll add that many of these things (solo projects, getting internships, writing, etc.) benefit substantially from attending a school with good training (which correlates somewhat with prestige and cost-of-attending).

Feedback, mentorship, and direction are bottlenecks for executing impressive projects and sometimes the best way (or only way) for someone to access these is through the conventional schooling route.

Conventional education and independent projects complement each other

Hi Ozzie, what’s the ask and intended audience here?

The problems here seem interesting and maybe even approachable to a dedicated newbie. So I was wondering if my background was any use. I used to work in software engineering with JavaScript and now work in data cleaning research assistance with R.

But I can’t tell if this is an open call to submit pull requests to an open source library on GitHub, a request for advice, or a request for someone to work part-time / full-time

3
Ozzie Gooen
8mo
Good questions!  I'm imagining hobbyists or people interested in taking on side projects. People interested in getting more involved in this area. If someone is an unusually great fit, for a fairly small project, we might be able to provide funding. Almost all of this could be done outside our codebase. Just make an NPM package, or even just get something working in ObservableJS or similar. Post to the EA Forum, or just tell us.  I think of these as similar to other open EA-related lists of problems. In our case, we can use many of these solutions in Squiggle, but I think even if we don't, they might well be useful for other EA-related JS/probability projects in the future.  I think the main constraints, for people with some analytical background, is enthusiasm and time. Many of these could be attacked by someone clever and sufficiently motivated - but it would take some time (especially for polish and testing, if you can do that part).  Again, if you might seriously be interested, I'd be happy to chat. We have a related Slack that could be a good fit, or we could do a video chat - let me know which might interest you.

I wish I could strong-upvote this three times over. It’s that good of a piece.

This reads very clearly to me today, and I think younger less-knowledgeable-with-research-world me would follow it too.

It’s a legible example of

  • how research is increasingly a team effort with many behind-the-scenes people (with Principal Investigators arguably deserving little of the credit in some cases)
  • what work there is to be done adjacent to research
  • a theory of change (make it possible -> … -> make it required)
  • how movement building and grant making rely more on heu
... (read more)
2
Stuart Buck
8mo
Much thanks! Also, the best way to find a typo is to hit "send" or "publish". :) 

This was a good nudge for me to lower the frequency on all my notifications (especially the karma one to weekly, which I’ve been checking more than I’d like lately)

Hi Nick,

Ah I missed only a third of Ugandans cooking with charcoal (I’m guessing a third of Ugandan households since that’s usually how these surveys work). That does suggest we can bump up the estimate by 3x.

I don’t think we can 5x the savings because of family size. Household savings go up (compared to my individual model) but so do household expenses. So the percent income gain from charcoal savings stays the same if both scale the same.

(Technical detail: I’m not following how you got back to 1000-1500 USD from my 0.6 USD per-adopter estimate. That’s ab... (read more)

8
Rory Fenton
9mo
Love the clarity of the post but I agree with Geoffrey that the $ impact/household seems extremely low and I also don't follow how you get to $1k+/HH (which would be like doubling household income). Back calculating to estimate benefits/household: * $1.5m national savings over 5 years = $300k/year * Number of adopters: * 50m people in Uganda * 5 people/household means 10m households * 1/3 of households use charcoal: 10m/3 = ~3m households use charcoal * 1% adopt: 3m * 1% = 30k adopting households * Benefits/household: $300k/year over 30k adopting households = $10/household/ year (or just $1/person/year), which seems super low to me I'd guess that's at least part of why you don't see more bean soaking already, the savings are just so modest, unless I've missed something in my calculation. As you note, behaviour change around cooking practices is also super hard. When I worked at One Acre Fund Tanzania, our 2 biggest failures were introducing clean cookstoves and high-iron beans, both of which people just didn't want to use because of how they conflicted existing norms, e.g. color of the new bean variety "bled" into ugali, making it look dirty. So the $ benefits would make me skeptical of this as promising but I'm hoping I missed something big in my calculation!

Surprised no one’s done the per-capita income comparison, since extra income from less charcoal usage would be a big selling point in an information campaign.

I did a very rough back-of-the-envelope calculation and estimated only 0.006% extra income via charcoal savings per year per adopter from soaking beans. I suspect that means lower tractability

If 1% of 50 million Ugandans adopt, we have 0.5 million adopters.

If 5-year savings for less charcoal used are 1.5 million USD, then annual savings are 0.3 million USD

So per-adopter savings (annually) is 0.6 USD.

A... (read more)

3
NickLaing
9mo
Thanks Geoffrey those are all good points. This is a very preliminary analysis so there are many directions I could have gone that I missed, including this one. 2 notes on your nice botec. * first only a third of Ugandans use charcoal in my calculations, so I think you should multiply your pet person calculation by 3. * second you are calculating for every person, many of whom will be children. Savings per family will therefore be much higher. One person might be buying charcoal for 5-10 people, making their apparent saving much higher and increasing their likelihood of continuing the behavior. I'm not sure the best way to account for this This makes the apparent savings more in the ballpark of 1000 - 1500 USD a year. But I could easily have made a mistake here. I'm not sure also it would really be "more convenient" to go back from soaking to no soaking. It's probably a 45 minutes plus time saving. The real difficulty will bringing about be the behavior change in the first place, which is why I went for something like a 20 percent chance of convincing 1 percent of people. I feel like if people change to soaking, they will stay soaking. I have calculated these savings on the conservative end as well.
6
Linch
9mo
Interesting! 3 potential cruxes for me: 1) How much does charcoal use contribute to indoor air pollution? And how large are the negative effects in expectation? 2) How much active time/labor/attention does typical Ugandan bean cooking take? If it takes ~2.5h to cook beans and soaking them reduces it by ~30%, the time savings would be ~45minutes/day or 273 hours. If you conservatively value cooking time at $.10/h, this is worth $27/year, which is considerable. But this assumes active maintenance, which might not be a realistic model. 3) How large are typical households/ how many people cook for a household? If households are ~5 people, and only one person cooks beans for the entire household, then the time (and possibly indoor air pollution) savings are amortized by a factor of 5.  But this is all very first-principles-y, I'm sure people on the ground would have a much better sense!

Like this a lot, especially the plot designs.

Surprised there’s not much in demographic differences even with all the caveats that go with interpreting disparities there. Not sure what to make of that yet but will be chewing on that for a while.

Lastly, got a question. Do you have any sense of what a good baseline for the mental health section might be? The question of “has your mental health increased / decreased/ stayed the same since getting involved with X” is new to me

3
David_Moss
9mo
Thanks Geoffrey!  I think the mental health increase/decrease question (which was an external request) is not best interpreted with reference to the idea of a 'good baseline', since (as you are perhaps suggesting), I don't think it's clear what a good reference class would be for this (e.g. movements vary a lot in their composition and other potentially relevant characteristics).  I think it's better interpreted by comparison to what your expectations would be for the absolute pattern of outcomes within the EA community (e.g. some people seem to believe that EA often has a negative impact on the mental health of those involved), and is also potentially informative in terms of group differences and, in the future, could be informative in terms of changes within the EA community over time.

I think this falls into a broader class of behaviors I'd call aspirational inclusiveness.

I do think shifting the relative weight from welcoming to clear is good. But I'd frame it as a "yes and" kind of shift. The encouragement message should be followed up with a dose of hard numbers.

Something I've appreciated from a few applications is the hiring manager's initial guess for how the process will turn out. Something like "Stage 1 has X people and our very tentative guess is future stages will go like this". 

Scenarios can also substitute in areas where ... (read more)

2
Elizabeth
9mo
  Oh I like this phrase a lot

Congrats on passing your first year. Some off-the-cuff thoughts from someone still trying to get to where you are and spent a lot of thing on EconTwitter figuring stuff out:

  •  I read online that 2nd econ phd year is usually the best year. Field courses I hear are a treat. If you're not feeling that year, it's unlikely the rest of the academic path will sustain your interest. 
  • I think year 3 is where you can possibly have your first test bet, since it's the first solo year. I also hear it's the easiest to slack off in. A recurring joke I've seen amon
... (read more)
2
Connacher Murphy
10mo
Thanks for all the helpful thoughts. The distinction between the growth work and treatment spillovers is useful. Growth theory doesn't seem to be a huge field these days, whereas program evaluation is quite large.

I've found a lot of professional overlap between groups focused on global health and groups focused on LMIC growth (low-and-middle-income country growth). Each group tends to be the biggest audience and best critic of the other approach.

I'm not sure if breaking out the topic would incentivize more attention of LMIC growth, but I do worry we'd lose some interesting discussion.


 

Answer by geoffreyApr 28, 202312
2
0

Try "managing up" with a simple text document during meetings.

I'm the main contributor on a project with a light management layer. The autonomy' s nice. But it's given a lot of space for stakeholders to spend check-ins talking about their long term wish list (which is fun for them) while avoiding the prioritization I need them to do. 

Recently, I started bringing a text document into check-ins on my understanding on what the priorities, editing it as the meeting goes, and assigning items as (In progress), (todo), or (nice-to-have). It's Kanban in spirit but without the overhead of actually running Trello / Jira/ Notion.

4
Richie
1y
While I don't think Trello / Jira/ Notion have significant overhead, +1 for this tip because I think it illustrated something we often forget with productivity/ project management/organising : the best system is one that you can feasible use.

Here's some extra (low confidence) info regarding financial aid:

Some programs will have a link on their website where you can talk to a program coordinator or admissions officer. Talking to this person before you apply and forming a good impression may help you secure a much nicer financial aid package when you get accepted. This varies by school and it's luck-of-the-draw whether you hit it off with someone. Generally, you should be genuine and approach the meeting with curiosity over topics like when certain faculty teach. But that person may have info on... (read more)

Hi Caspar, 

Thanks for the response. On second thought, my objection might be different than what I initially suggested. I do think the test of overlap of scales as you mentioned would be an interesting test to run, but it doesn't seem to be capturing the overlap I ultimately care about.

Maybe this comment can captures my complaint better. We don't have any access to what "the most/least satisfied that any human could possibly be". We don't even have access to "the most/least satisfied you personally think you could become". 

As a personal example, ... (read more)

I enjoyed this a lot. I've been meaning to delve into well-being measurement and this was a nice entry-point into the field. 

One thing I'm not clear on is whether vignette anchors (or any of the comparability methods) can correct for non-overlapping well-being scales. You talked about an example like this:

But I'm more interested in examples like this:

Measuring these larger SWB (subjective well-being) differences seems crucial for detecting interpersonal differences across societies and picking up on how intense pain / pleasure can be at the long tails... (read more)

5
CasparKaiser
1y
Hi geoffrey! Yes, you are right.  All of the methods we are currently thinking of require that for all respondents i,j  the top response threshold for person i  must be at least as large as the bottom response threshold for person j. ` However, with the vignettes, I believe that this is in part testable.  Suppose that for a given vignette no person selected the top response category, and no person selected the bottom response category. Additionally suppose that the assumptions in section 4.1.1 of the report hold (i.e. that people perceive vignettes similarly, and use the same scale for their own wellbeing as for the vignettes). In that case all respondents’ scales must have at least some overlap with each other.  We have not checked this though I imagine that it would show overlap of scales. Would this kind of test convince you? As an aside, in section 4.6.1 we show that almost all respondents choose either “The most/least satisfied that any human could possibly be” or “The most/least satisfied that you personally think you could become” as the endpoints of the scale.  Since the latter set of endpoints is contained by the former set of endpoints, this evidence also seems to suggest that scales overlap.

Hi Niki, glad to hear it helped. Here's some more thoughts. Can't promise they're any good.

Yes, I agree the consumption smoothing point is critical. I could have worded my answer a bit better. What I meant to say is that rural households are good at trying to smooth consumption given their situation. That can still be a low overall ability given how sporadic income can be. The crux, I suppose, is whether we trust the households to smooth their own consumption or if  we should make the decision for them. If we think the households are better able to ma... (read more)

(Some quick thoughts hastily written based off some class papers I wrote a while back.)

One dataset that pops to mind is the India Human Development Survey. This is a rich household-level dataset that includes total household monthly income (disaggregated by source) and if I recall right, also tells you what month it is. These are time-intensive to work with, but I imagine a few others datasets like this exist in the world. And you can estimate "income" per month with them.

My guess is you'll get obvious insights from this, like income dropping during cold /... (read more)

3
Niki Kotsenko
1y
Thank you for the comment, I learned a lot from it. Would appreciate to hear what you think about my responses. I think the first point about consumption smoothing is critical. My reading of the literature is almost the opposite - that although the poor find ingenious ways to save, their ability to smooth consumption is very limited. I wonder why that is. Maybe it's because Portfolios of the Poor  focuses on Bangladesh, India and South Africa which are much more developer financially than some other countries. But we will need to think about this some more. The point about debt is very important and well taken. We will need to consider not just income but wealth more generally. I've corrected the question.  Regarding idiosyncratic shocks, our thought was that family level income/consumption/wealth data allows us to measure the frequency of idiosyncratic shocks. In addition,  an Organization like GiveDirectly must in any case have direct communication with potential recipients to be able to transfer the money, which implies family illness may be observed.  Regarding systematic shocks, out thought was that it is easier for the donor to convert cash to goods than for the affected people. So if what they need in a drought is grain and not cash, the donor could accommodate this quite easily.

This is great stuff. I appreciate you posting some initial results quickly, being careful about what claims you can make right now, signposting what you'll investigate later, and being explicit about what updates you've made.

I'll also echo Lily's comment about dis-aggregating POC. I'd be interested to see POCs breakdown between countries / regions of the world. For example, being a Chinese-American and being a Chinese national are different things.

 

Noted! Sorry for the misinterpretation.

One concrete idea could be an article centered on "class migrants". Perhaps it could be similar to the format of the anonymous interview series, or it could be like the imposter syndrome article where there's one personal profile and a few mini-profiles attached.

Partly, this is to help people feel less alone. But also, I think the strategy for developing your career differs based on where you're starting. Even between colleges, there's variation.

Beyond that, I'm not sure. I get that 80k's target audience is different ... (read more)

I never felt excluded either.  And 80k does a lot of things right on this front. The messages of ambition and "here's some broken stuff why don't you go fix it" are good and certainly have pushed me to do things I wouldn't have done otherwise. I genuinely feel people from underprivileged backgrounds need to hear more of it and I try to promote them as much as I can.

>I just had to discount or not read any sections that talked about status, top universities, etc., kind of assumed I'd have to write my own theory of change and have a thick skin about n... (read more)

Do you have plans for increasing class diversity via 80k career advice / tailoring advice to those with less resources? If so, what are some strategies you have?

I've loved 80k career advice and have benefited a ton from it. But one frustration I've had (especially earlier in my career) is that it doesn't offer much advice for people starting with less resources. For example, non-profit jobs can be out-of-reach without relevant / outstanding credentials or money to do a Masters degree if moving into policy.

I also suspect there's working-class cultural facto... (read more)

7
Bella
1y
Thanks for your question & feedback about our advice! Just to clarify, my responsibility is for outreach and promotion, and that’s all this post is intended to be about. The content of our advice/website/podcast is written & handled by others at 80k.  I passed along your question, and Arden from the content team asked me to share this:  If you have concrete ideas about how we could do better at these kinds of issues, we’d be really excited to hear it!

Adding some thoughts regarding diversity, privilege, and inclusiveness, as someone who was on the fence about applying and going last year and also about interacting with the global priorities community in general.

Like others said, I attended and loved this course last year. I think the value in this course is higher if you're from an underprivileged background or if you're a "big fish in a small pond" at a solid but non-elite university.

Mainly, it's because you'll get to hang out with other strong students across  a range of contexts. You attend rigo... (read more)

4
trammell
1y
Hey, really glad you liked it so much! And thank you for emphasizing that people should consider applying even if they worry they might not fit in--I think this content should be interesting and useful to lots of people outside the small bubbles we're currently drawing from.

>even if you come from a highly ranked university in Latin America, getting a job outside of it is quite hard, and most people will implicitly or explicitly discriminate against you.

Anecdotally as US-native, I've been surprised with how detailed and impassioned my foreign-born econ professors (already highly accomplished and usually growing up privileged within their home country) could be about the history of US discrimination towards its own citizens. It felt like they were trying to convey the gravity of discrimination but could only do so using the ... (read more)

I'm unfamiliar with the GCSE or unis system, but based on my 3-minute online search, I would also recommend maths + further maths instead of economics.

If I had to guess, unis will require you to take maths for higher-level economics courses anyways. Either the knowledge or credit will transfer when you get to unis.

I live in DC and attended an econ Master's program that places some of its graduates in the International Monetary Fund. I don't think your decision matters too much, and I think you should use teaching quality, and your own interest as a tie-breaker. With the exception of Numerical Analysis, none of these classes sound particularly international-focused or standardized so I would guess they all look about the same to an employer. 

I'd lean towards dropping Economics of Inequality. It sounds way too general and I'm not even sure what someone would lear... (read more)

1
Jeff A
2y
Extremely informative posts. Thanks so much! And I can't wait to read a Paul Krugman textbook. My Social Development Goals textbook is "The Age of Sustainable Development" by Jeffrey Sachs. This class is most likely going to be my favorite.

Has there been a past success story where a drug was developed to mimic the effects of a gene and successfully improved a complicated phenomena (in this case, sleep)?

I'm unfamiliar with drug development, but my limited knowledge of genetics and sleep suggests this would be complicated. A past success story would sway my mind a little bit.

7
JohnBoyle
2y
Presumably, it depends a lot on what the gene does.  If it affects how your bones grow during childhood, and you're now an adult, then you're out of luck.  If it produces a protein that has effects in the present, is easy to synthesize and deliver to the body where it matters, then it's straightforward.  (For example, if you want to digest lactose as an adult and lack the right genes, you can buy lactase pills apparently for 10¢.) I'd also say that the complexity of the phenomenon may be very different from the complexity and difficulty of the cure: e.g. if you had some broken enzyme that caused your body to waste half of some essential vitamin, the consequences to your body might be very complex, but the solution might be to just take a vitamin supplement.  At any rate, Wiki says that there are over 6000 genetic disorders, and that over 600 are treatable.  The citation on the latter describes a database of known treatments for genetic disorders, and has some interesting numbers: Regarding the FNSS genes.  For DEC2 in particular, it's the interaction with orexin that makes the difference (the second DEC2 paper showed that an orexin receptor antagonist turned off the short-sleeper effect), and the orexin producers and receptors are all neurons in the brain.  And ADRB1, NPSR1, and GRM1 all affect some kind of wakefulness-related receptor (it's the R in all their names), which I expect are also in the brain.  Delivering to the brain is more delicate than to the stomach, but it's certainly doable. My impression is that, by trying out different chemicals, you can hope to find one that binds to the receptor and either increases or decreases the activity of it (an "agonist" or "antagonist") and ideally doesn't bind to anything else; Ying-Hui said something along those lines.  That's roughly the extent of my knowledge.

The candidate pool was much stronger than expected

This one can be sent to every applicant and still provides very useful information. It tells me that my expectations of the hiring bar might have been correct in the past. However, the market has changed and I should adjust my expectations. 

For this one, concreteness is essential. One hiring manager phrased it like, "We had to reject many exceptional candidates that would have been instant hires a few years ago.  Everyone did well on our take-home test that we thought impossible to complete within... (read more)

4
Kirsten
2y
These are great concrete examples, thank you so much for adding them!

This post resonated a lot with me. I was actually thinking of the term 'disillusionment' to describe my own life a few days before reading this.

One cautionary tale I'd offer to readers is don't automatically assume your disillusionment is because of EA and consider the possibility that your disillusionment is a personal problem. Helen suggested leaning into feelings of doubt or assuming the movement is making mistakes. That is good if EA is the main cause, but potentially harmful if the person gets disillusioned in general. 

I'm a case study for this. ... (read more)

Helen's post also resonated a lot with me. But this comment even more so. Thank you, geoffrey, for reminding me that I want to lean away from disillusionment à la your footnote :-)

(A similar instance of this a few months back: I was describing these kinds of feelings to an EA-adjacent acquaintance in his forties and he said, "That doesn't sound like a problem with EA. That sounds like growing up." And despite being a 30-year-old woman, that comment didn't feel at all patronising, it felt spot on.)

Appreciate the post! A similar topic came up in a recent DC global health & development discussion

Could another argument for skipping the cash arm be having more resources for other RCTs?

Ideally, we'd study the cash arm and the asset transfer program simultaneously at multiple time periods. But each extra treatment arm and time period costs extra. I imagine one could use the savings for other RCTs instead.

Quick clarifying questions about your abstract if you have time.  I'm confused about the term "weakly constrained"

Does "weakly constrained" mean (a) the leader is weak because elite supporters make the leader weak, (b) the elite supporters are weak and can't limit the leader much, (c) a jargon-loaded academic definition that I shouldn't worry too much about because it's too hard to explain, or (d) something else?

Also, does personalist always mean anything about constrained-ness in theory? (Like I get in reality, it may correlate a certain way, but I'm wondering about the definition)

3
Timothy_Liptrot
2y
Good question. Perhaps I should clarify this in the abstract. Weakly constrained means elite supporters cannot limite the leader much. Personalist means weakly constrained by elite supporters. The idea is that one person has lots of power, hence personalist.

This post offered concrete suggestions for increasing representation of women at EA events and in the movement as a whole. Before reading this, I thought of diversity-type issues as largely intractable, and that I had limited influence over them, even at the local level.

Immediately after reading this, I stopped doing pub socials (which was the main low-effort event I ran at the time). Over time, I pivoted towards more ideas-rich and discussion-based events.

Really enjoyed the post. Would like clarification on something

However, I note that when some developmental economists venture out to do something new in climate change, these problems immediately rear up. This to me is moderate evidence for motivated reasoning and selection bias also being rampant in that cause area.

I'm not fully following this point and would like to hear more about it. Is this suggesting that development economists over-estimate the impacts of climate change or something else? And do you have any examples (any  will do, they don't h... (read more)

3
Linch
3y
I didn't mean anything special, just that IDInsight developmental economists started Giving Green and was overly credulous in a bunch of ways, as mentioned in the New causes section.

How would you categorize the schedule flexibility at think tanks?  Do you believe it varies by the three categories you've mentioned or by seniority levels? My well-being and productivity are much higher with a later start time

I can think of one factor that encourages a rigid schedule. Government work starts at 8am or 9am, sometimes by mandate. Think tanks will have their workday earlier to maximize overlap with bureaucrat schedules

But I can also think of another factor that encourages a flexible schedule. "Ideas industry" work have deliverables that may not be time-sensitive. This means less hard deadlines, less need for "putting out fires", and less need for everyone to be on the exact same schedule

3[anonymous]3y
Overall, I would say there's a fair bit of flexibility in the think tank world (certainly more than in government). But it does vary across think tanks, and across teams within think tanks. As far as I know, the variance isn't strongly correlated with the type of think tank. The nature of the work/team may be more predictive — if you're in an external-facing communications role, you may have to be available/monitoring your email at certain times. Research and writing roles tend to be more flexible, but you could still end up on a team with a strong 9-to-5 culture. If this is important to you and you're considering think tank jobs, I'd encourage you to ask around — former or current employees of specific think tanks should at least be able to tell you about the norms at that think tank, even if they can't give blanket answers.

Hi Sonia, this was a path I previously considered. Hopefully someone else with actual experience will chime in. In the meantime, here's some armchair thoughts in no particular order.

If you haven't already, check out Chris Blattman's blog: https://chrisblattman.com/ He's a professor at UChicago who posted a lot on academia, policy, and economics. Highly recommend the articles linked on the sidebar.

If you're targeting a PhD, your school's ranking probably trumps everything else. And rankings tend to be consistent across sub-disciplines. There are some outlie... (read more)

Could the Individual Approach be considered a complement to the Funnel Model?

The Individual Approach explains "Entry/ Transition" as a major life change. To me, that sounds a lot like moving deeper into the funnel

Long-term retention sounds like staying at your current stage. And drop-off sounds like moving back a stage, or leaving the funnel entirely

3
Vaidehi Agarwalla
3y
Hi Geoffrey, and apologies for this abysmally late reply. I think it is definitely  a complementary model.  I think that the transition stage can be a transition to directly contributing to the movement, but it may also be a transition that doesn't appear very direct / may not be perceived as such by the community. So perhaps it partially overlaps in that way. 

I highly recommend Lightning Talks. Participants are allowed to present on any topic they want for 5 minutes. They've worked wonders for Effective Altruism DC.

The main consideration is how to do questions:  You can do these immediately after each talk. Or you can finish all talks, then do a giant free form discussion. Or you can finish all talks, ask who's interested in each speaker, and then split them up into breakout rooms. Or you can let people have ongoing conversations in the chat room. Or you can tell people to message the speaker individually.... (read more)

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