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John Baez Mastodon
A vector looks like an arrow; anyone studying math or physics in college learns about these. Bivectors are important too - though less widely taught. You can create a bivector by taking the 'wedge product' u ∧ v of two vectors u and v, and you can visualize this as the parallelogram shown at left here. But in fact, an ellipse or any other flat surface with the same area lying in the same plane is just as good a picture of this bivector. Further, you can add bivectors, so there are bivectors like u ∧ v + w ∧ z that you can't picture as just a single surface. Thus, you need to be good at the al…
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Their words
and I think most people experience it as like flat triangles and squares in a biology textbook where it's like you know there's an arrow between like this triangle and this triangle is just like doesn't make any conceptual sense and is like confusing and annoying
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korrents.com
Decision-bias research is itself biased, studying only how heuristics fail and never the strength they supply.Their words
Um but nobody has done research on the positive side of these heuristics. And so, I think that's a bias on the part of the decision bias researchers that they're only looking at the down arrow. How do these heuristics get us in trouble? And they're not looking at the strength of these heuristics.
4 January 2017
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