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  • Over the last few episodes, we saw that our intuitions about how we perceive and remember

  • the world are often mistaken. In fact, we have no real privileged access into the basis

  • of our decisions, how it is that we do what we do. In the last episode, we introduced

  • a more realistic account of how the mind works. We spoke about system one and system two and

  • chatted to Danny Kahneman about some the heuristics and biases that we rely on, that we have to

  • rely on, in order to deal with the complexity and ambiguity of the world.

  • One of the things I think is important that people take away from the last episode is

  • that it's not really a matter of just slowing down. That's not really a solution. As Danny

  • Kahneman said during our interview, when we asked him how to improve everyday thinking,

  • he suggested that we pick only a couple of areas and try to improve those, or recruit

  • the help of a friend, someone who's looking at the circumstance from the outside.

  • The reason he made this suggestion, I think, is thatyou know, he's been doing this a

  • long time—50 years, I think, he's been in this areaand he's won a Nobel Prize. If

  • anyone is going to improve their everyday thinking by generally improving their problem-solving

  • skills, it's going to be Danny Kahneman, and he mentioned that his everyday thinking

  • hasn't improved over the last 50 years or so.

  • So where does that leave us? Well, just being more careful or being more deliberate really

  • isn't going to help necessarily. That's only half the story. Of course, learning the names

  • of these heuristics and biases are important so people can recognize them when they're

  • actually happening, but that's only half the story.

  • The other half of the story is what we're going to talk about today, which is learning

  • to learn. We talked to Geoff Norman, who essentially teaches this stuff to doctors about this very

  • topic, and here's what he had to say.

  • How do they improve as an expert? You mentioned that wegoing slow doesn't necessarily help,

  • being deliberative, and there's this compounded issue of self-assessment that we often don't

  • know how good we're actually doing at any given case. I mean, what does that mean for

  • improving practice? How do we get better? How dothe goal of this course that we're

  • taking is called The Science of Everyday Thinking. So given your experience in the field of expertise

  • and in medicine, how do we improve everyday thinking?

  • You improve by knowing more.

  • So just the accumulation of experiences.

  • Yes. It seems so tantalizing. It would really nice if I could be very prescriptive and say,

  • "Well, if you do this, that, and the other thing, then you'll be much better." At some

  • level, I guess there's got to be a bit of a germ of truth in that. This course wouldn't

  • exist if we didn't think that there are somethat being explicit about everyday thinking and

  • the traps in everyday thinking wouldn't help people think better. At some level that's

  • true, but that's generally locked in to what's been called general problem-solving strategies,

  • which are not very powerful. Sure, that's going to help a bit. I suppose reflection

  • is going to help a little bit, but it seems that all of these strategies, to sort of generalize

  • horrendously, are good for about a 10-percent improvement. It's not zero, but it's not

  • night-and-day or black-and-white either.

  • Very clearly, the single best predictor of how good you are is how much you know about

  • the domain, not what problem-solving skills you bring to bear on it. We began there. That

  • was wrong. Question is: are there strategies we can do to optimize the acquisition of knowledge?

  • Again, we're talking about two kinds of knowledge: formal knowledge and experiential

  • knowledge. We're now beginning to discoverand I can't take any personal credit for this

  • one; this isn't my domainbut people like Mayer, Bjork, Roediger had been working hard

  • on taking models of the nature of the mindshort-term working memory, long-term memory, associativeand

  • turning that into very prescriptive and powerful strategies to enhance the efficiency of learning.

  • Things likean obvious thing like mixing up examples from across multiple chapters

  • so that you have to try and figure out which is whichit turns out to be an extremely

  • powerful strategy for learning.

  • The idea of transfer, which is being able to take knowledge that you've learned in one

  • context and apply it to another: one, it doesn't happen at all as easily as we think it does;

  • but, two, psychologists would devise strategies to make that happen better.

  • I think this is moving much more into the instructional educational psychology end of

  • things. There are things we can do to very much enhance the efficiency with which you

  • acquire the knowledge you need to get the job done as a diagnostician or as a human.

  • My name is Geoff. I think about reasoning.

  • I think it's really clear now that just telling people to slow down, to be more careful,

  • is not going to help people improve their everyday thinking. Yes, it's really important

  • that we have the vocabulary for this stuff. You need to be able to know what the heuristics

  • and biases are and point to them and see where they're operating.

  • But as Geoff said, the key to improving thinking, to thinking better, is to know more. So if

  • you want to be a better singer, you have to spend time singing. If you want to become

  • a better cricket player, you have to practice.

  • That's part of the story, I think, but the other half is, as Geoff said, yes, practice

  • is important. You need to spend the time and the effort actually doing the thing that it

  • is that you want to improve on, but the other is actually taking the advice or learning

  • from experts, so reading, right? You need to spend time looking at the things that experts

  • say are important within that field in order to improve a lot more.

  • So when it comes to sports, knowing where to put your fingers or your feet is critical.

  • In academics, learning from experts or academics tell you what area or what things to read

  • within that area so you're not going down blind alleys all the time. They can tell you

  • exactly where you need to focus your attention. That's really important. That's what reading does.

  • But this idea of general knowledge or general problem-solving, as Geoff Norman called it,

  • is a little bit tricky, isn't it? I mean, he said that, yes, that's not going to help.

  • Having this sort of generic problem-solving capability hasn't done very well in the past.

  • Danny Kahneman mentioned that in his interview as well. So just having this sort of blunt-force

  • thing that you can apply to each of these different areas isn't going to terribly successful,

  • and the reason it's not is that it's so far removed. You have this general purpose

  • tool that you're applying to all of these different very specific things, and by that

  • very nature, it's going to be unsuccessful because it's so far removed from each of these

  • different areas. What is going to be successful is exactly as you mentioned: in order to improve

  • everyday thinking, you need to know more. You need to expand your experiences with that particular domain.

  • That's what we're going to talk about today specifically: learning how to learn. If your

  • goal is to try to improve, is to try to know as much as you can about a particular domain,

  • we can help. We know a lot. We can help you get there more efficiently. We can help with

  • learning the information faster and hanging on to it for a longer period of time.

  • So we talked to John Dunlosky who's done an enormous amount of work in this area. He's

  • done a massive analysis of all of the techniques that seem to be effective and those that don't,

  • and here's what he had to say.

Over the last few episodes, we saw that our intuitions about how we perceive and remember

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