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How Measurability/Mathematical Bias Limits the Scope of Scientific Inquiry and Human Discovery
Transcript:
Speaker 1
So there's this old paper from the, I think, 1960s by Eugene Vigner, the Nobel Prize physicist. It's called something like, on the unreasonable effectiveness of mathematics. The fun paper, and he's like, there's no good reason why mathematics should work as well as it does. And there's no good reason why there should be a tool that allows humans to predict things as well as math does. There's no good reason. It's kind of nuts. And we should all just be grateful. And he says some other things, but he's basically just kind of being all about how great mathematics is and how there's no good reason why it should be. And it's pretty cool that it does work so well. I think that there's a counter to that, which is that not everything is that easily described that mathematics. And there's lots of things for which mathematics is not that effective at describing. And it's actually just the things that were well described or easily described by mathematics are the things that were discovered using mathematical tools. They're the things that lend themselves that were amenable to mathematical inquiry. And a lot of the things that we're interested in terms of social science and cognitive science and the related philosophical inquiry are things that are much less tangible in terms Of this kind of specification. And you can see it like in a physics equation, right, a physical theory, whether it's about mass or electricity or something else, right, you have a theory about how things work. And then you can write out equations. And all the terms in the equations have units. And they are all directly related to the things that are measurable. The theories are directly about relationships between things that are measured. And in social theories and cognitive theories, so often our theories are about relating constructs. And then we have proxy measurements, but the theory isn't about the relationship between the proxy measures. The theory is about the constructs and the relationships between the constructs that are social in nature, that are cognitive in nature, but aren't the things that are being measured. And so there's this gap. And I don't know the extent to which that gap can be overcome.
Paul Smaldino & C. Thi Nguyen on Problems With Value Metrics & Governance at Scale
COMPLEXITY: Physics of Life
Most people love the idea of collaboration . . . as long as it promises to do exactly what they want it to do. But that is not how collaboration works. Collaboration (as we talk about it) is not forced or coerced. It requires you to give up control. And because it’s not predetermined, it requires you to give up certainty.
Impact Networks
David Ehrlichman
Psychologist Richard Wiseman created a study using waiters to identify what was the more effective method of creating a connection with strangers: mirroring or positive reinforcement. One group of waiters, using positive reinforcement, lavished praise and encouragement on patrons using words such as “great,” “no problem,” and “sure” in response to each order. The other group of waiters mirrored their customers simply by repeating their orders back to them. The results were stunning: the average tip of the waiters who mirrored was 70 percent more than of those who used positive reinforcement.
Never Split the Difference
Chris Voss and Tahl Raz
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