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army1987 comments on Things I Wish They'd Taught Me When I Was Younger: Why Money Is Awesome - Less Wrong
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Anything that moves someone from level 10 pain to painfree has probably that effect. If I put a 120 IQ person on level 10 pain I doubt they will get over 80 points on an IQ test.
The mnemonsyth data is laying around for years without anyone analysing them to find more effective algorithm for human learning.
Paying some quant who actually knows something about statistical modelling to take on the task is relatively cheap. Probably less than 100,000$ for a result that matters significantly for improvement of general cognition.
That's an example of a very obvious area to invest money if you care about cognitive enhancement. As a result I don't see the world in a way where a lot of people are seriously trying to advance cognitive enhancement who are understanding the landscape well enough to direct funds to obvious areas. I think it's even worse if you look at nonobvious but potentially good ideas that cost a bit of money.
I do approve of CFAR but we don't live in a world where they have billions of dollars.
OTOH Lumosity data has been being studied.
Sort of. The data isn't open. There are studies that they published based on the data but it's hard to know how much they cherry picked the studies they decided to publish.
There a huge commercial incentive to make Lumosity training appear better than it actually is.
Spaced repetition system data has other advantages. I don't really care about whether I get better at the task of completing a random Lumosity game. On the other hand getting better at remembering any fact that can be displayed via Mnemonsyth or Anki is a valuable. I would also think that there the performance at Anki correlates with other learning tasks.
SRS data provides you a variable that tells you how good you are at a given information at saving information to your long term memory and it gives you information about how good you are at accessing information from the long term memory.
To recap what we mean when we say IQ, IQ is about how your g-value is relative to other members in your population. What's that g-value? If you take a bunch of different cognitive tests from different cognitive domains that don't depend on "knowledge" and run them through principal component analysis, the first factor that you get is g.
The problem with a regular IQ test is that it takes an hour to complete and that hour doesn't provide additional benefits. If I spend an hour a day with Anki, I do don't do it to determine my cognitive performance but I do it to learn. That means there a possibility of getting a good cognitive score for free.
Another problem with regular IQ tests is that you can train to get better at a particular IQ test. You score better at the task but the test focuses on specific skills that don't generalize to other skills.
Having the large pill of SRS data should allow us to correct for the training effect if we want to do so. We might also find that we don't even want to correct for the effect and the effect generalizes to other domains. SRS has the advantages that we do always get new cards with new information that we want to learn and that diversity might increase the generalizability of SRS training effects.
At the moment I do have an Anki deck which the point of learning the sounds of the IPA. I have a Anki deck with I use to learn to distinguish colors better. I have a deck for french vocabulary. I have decks for biochemistry.
Should Anki usage provide training effects in all those domains, I think there a good chance that this will also increase g.