Picture a mind that has much cloudier memory of what happened beyond 5..10 minutes ago, starting at the age of 20. This wouldn't impact the IQ score much, will impact intelligence on tasks that you have to think about for more than 5..10 minutes. Plenty of things are not measured by IQ tests, things that are necessary for all sorts of problem solving. From what I gather, Stanovich is quite open to there being a wide array of intelligence traits not measured by IQ tests; it's the people who sell a rationality enhancement that doesn't affect IQ test score, who need the rationality to reside entirely within the non measured traits (rather than only partially).
Consider those 'pick a correct picture to continue the sequence' tests. They're essentially testing your ability to assess complexity (and assign priors based on complexity), a traditionally 'rational' thing. As well, they're impacted by your tendency to think hard even when encountering an informal problem. Of course, the correlation is not going to be perfect, but there's going to be a correlation.
Or to ask the question another way, is there such a thing as a theory of bounded rationality, and if so, is it the same thing as a theory of general intelligence?
The LW Wiki defines general intelligence as "ability to efficiently achieve goals in a wide range of domains", while instrumental rationality is defined as "the art of choosing and implementing actions that steer the future toward outcomes ranked higher in one's preferences". These definitions seem to suggest that rationality and intelligence are fundamentally the same concept.
However, rationality and AI have separate research communities. This seems to be mainly for historical reasons, because people studying rationality started with theories of unbounded rationality (i.e., with logical omniscience or access to unlimited computing resources), whereas AI researchers started off trying to achieve modest goals in narrow domains with very limited computing resources. However rationality researchers are trying to find theories of bounded rationality, while people working on AI are trying to achieve more general goals with access to greater amounts of computing power, so the distinction may disappear if the two sides end up meeting in the middle.
We also distinguish between rationality and intelligence when talking about humans. I understand the former as the ability of someone to overcome various biases, which seems to consist of a set of skills that can be learned, while the latter is a kind of mental firepower measured by IQ tests. This seems to suggest another possibility. Maybe (as Robin Hanson recently argued on his blog) there is no such thing as a simple theory of how to optimally achieve arbitrary goals using limited computing power. In this view, general intelligence requires cooperation between many specialized modules containing domain specific knowledge, so "rationality" would just be one module amongst many, which tries to find and correct systematic deviations from ideal (unbounded) rationality caused by the other modules.
I was more confused when I started writing this post, but now I seem to have largely answered my own question (modulo the uncertainty about the nature of intelligence mentioned above). However I'm still interested to know how others would answer it. Do we have the same understanding of what "rationality" and "intelligence" mean, and know what distinction someone is trying to draw when they use one of these words instead of the other?
ETA: To clarify, I'm asking about the difference between general intelligence and rationality as theoretical concepts that apply to all agents. Human rationality vs intelligence may give us a clue to that answer, but isn't the main thing that I'm interested here.