"I do think this has happened to some extent with M&E, where it has been conflated with existing EA concepts like cost-effectiveness projections." - this is an interesting observation and something that has come up in some of my own recent work, where estimating and tracking impact in expectation is perhaps mistaken as M&E as typically understood by experts in M&E. Can you share some concrete aspects of/tools from M&E you think others may be overlooking?
I also generally agree with your overall thoughs, and feel that people in EA are sometimes unwittingly unaware of entire fields that address the specific problem they believe is completely neglected.
Hi Vasco, it's an interesting though not simple question, as we're currently in the process of looking into how to understand possible impacts of research projects in general (or rather, specific projects/pieces of research, but not currently specifically/just for Pulse).
Each time we've ran Pulse, we've had a handful of specific requests from impact-focused funders or charities for items to include and received positive feedback about the value of the information for them when we've done so. To some degree when we do that, we are trusting their judgment as to the value of what they wanted to know about, not explicitly modelling it.
I've also seen some Pulse findings in wider discussions in some more and some less formal outlets over time, which suggests some interest and traction - this has perhaps been more the case with some of the AI-related findings. I think providing such information so that people are better informed in what they're discussing is valuable.
The general awareness findings were, I believe, something of an update for people/orgs in understanding how much reach EA actually has so far (including at RP), and I believe such information - naturally amongst many other pieces - has been at least discussed when talking about field building for EA or for different particular causes, and possible communication strategies. It could be that the continued polling there is less of an update each time, but for a lot of the information I think that the value can increase as we track opinions and awareness over time, such that some of the knowledge and possibly action relevant information we gain will be realised by understanding trends and how certain events or developments do - or surprisingly do not - affect public perceptions and concerns over different causes.
A less tangible impact that I think could arise over time is a generally better sense amongst decisions makers of what and how people outside of the 'EA community' actually think about the things people closer to the community care about. Whilst EA isn't for everyone, I still think it is important to have a good mental model and ideally an empirically informed understanding of where the general public is on various issues, and contributing to that understanding and awareness is also important.
A slight issue here might be something of what I see as a category error - a 'treatment resistant' mental illness is usually not considered a distinct mental illness. For example, treatment resistant depression is depression, against which multiple treatments have been tried and have failed. There is a lot of traditional mental health research funding on severe mental illness, and a lot of funding is also geared towards trying to understand why some treatments don't work for some people (i.e., some people's mental illnesses resist treatment). So in this sense, I just don't think it is neglected.
I just think this example is misapplying the Shapley values/approach - in a case in which a payment is locked in, there is nothing in the Shapley approach saying you would treat it as if it is not locked in. As a matter of principle the Shapley values are order invariant, but that is not to say that when computing Shapley values you should imagine an alternative reality in which everything is order invariant when in fact it is not. As described I think the Shapley values in this case naturally argue for the second actor to favor getting the 15 units by completing the payment for P.
Here is how I would think this situation would be computed using Shapley values:
Whereas if player 2 were to aim for just going for their single better option, it would be:
So if player 2 seeks to maximise their Shapley value, they do in fact choose the option you think that they should.
So I think it is correct that one should consider if commitments are locked in etc., but I don't think this is a critique of the Shapley approach, but rather that what is described as a 'simple application of the Shapley values' is just an incorrect application.
The cleaned data set was very nice to have access to and clear - the only thing that wasn't clear to me was whether any exclusions were actually applied on the basis of the attention checks, and what the correct answers to the attention question were, but this may be in your documentation already, I just had a fairly quick look and downloaded the csv and got going.
Thanks for the thorough response -
Thanks for sharing the data for the paper. Based on a fairly quick re-analysis, it appears that a decline in selection of chicken can be detected - but as you note, choice of alternative red meats tends to increase slightly, and some of the increase in selecting the new plant-based meat is driven by fewer people selecting the other veg-based options.
A few considerations as a result:
Finally, what are your thoughts on the ecological validity of the experiment? Naturally, people can't see or smell the options, as you note in the paper, but the experiment also takes place in the absence of repeat visits, advertising, and hearsay about how X or Y tastes really good, has to be tried etc. I'm not totally surprised that just adding an option to the end of a virtual menu doesn't greatly shift behavior, but that also seems a slightly reductionistic model of what plant-based advocates might expect would happen in such a situation, which might be more to do with norm shifting, decreasing difficulty enabling people to switch over time etc. I hope that does not come across as overly critical, because I'm also really pleased to see a rigorous attempt to put ideas to the test and challenge assumptions. [edit: I haven't thoroughly read you paper, so apologies if you already discuss this]
I can't access to look at the specific studies but unfortunately most exercise science is like nutrition science generally (very hard to control, considerable participant variability) but with even smaller samples/statistical power, and insufficiently long periods to observe effects. They also rarely target vegetarian or vegans, so this combination is even less known about. The 1.6-2g/kg/day target is reasonable and supported, but there is an interesting body of research about BCAAs and in particular mechanistic work on the 'leucine threshold' for stimulating muscle protein synthesis, with suggestions to bump up leucine when taking plant-based proteins for maximal triggering of MPS. I'm not 100% convinced such work is correct, but enough to implement elements of it. Whether it is completely proven or not my concern raised above was that many plant-based advocates might not be aware that there is even something to consider beyond just protein or macros.
Happy to discuss further but cognizant of hijacking the discussion with something not actually related to the interesting report the authors provided!
Hi Joel - in this case the positive sentiment towards mental health is indeed probably driven quite a bit by domestic mental health concerns. We actually provide an example or two for each cause and the mental health one notes improving or increasing access to mental health in the U.S.. Given it is the only mental health thing we have done so far in Pulse I think it would be hard to tease out with current data as you suggest.
But yes there could be opportunities to add something in upcoming rounds - feel free to DM or reach out by email to discuss more exactly what you would be looking for insights into. At face value it would probably be quite easy to compare how much people support e.g., mental health access/improvements at home, vs. as something they would support being done in lower income countries.
I can imagine support for government or charitable efforts at improving mental health in lower income settings being similar to support for general efforts to improve welfare/health in lower income settings, but it also seems possible that the current vogue for mental health (with therapy apps, ads all over etc. about its importance) could make people think it is an especially valuable way of helping abroad. That might just be cannibalizing broader GHD support even then though.