Great. Now you have really confused me.
Do we agree that you can implement more or less winning strategies as a member of the species of homo-sapiens, congruent with the utility-concept of 'making the world a better place' , and that there is an absolute ranking criterion on how good said strategies are?
Do we agree that a very common failure mode of homo sapiens is statistical biases in their bayesian cognition, and that these biases have clear causal origin in our evolutionary history?
Do we agree that said biases hamper homo sapiens' ability to implement winning strategies in the general case?
Do we agree that the writings of Eliezer Yudkowsky and the content of this site as a whole describe ways to partially get around these built in flaws of homo sapiens?
I am fairly confident that a close reading of my comments will find the interprentation of 'rational' to be synonymous with 'winning-strategy-implementation', and 'bayesian' to be synonymous with (in the case that it refers to a person) 'lesswrong-site-member/sequence-implementor/bayes-conspiracist' or (in the case that it refers to cognitive architectures) 'bayesian inference' and I am tempted to edit them as such.
I am nonplussed at your attempt to lull readers into agreeing with you by asking a lot of rhetorical questions. It'd have been less wrong to post just the last paragraph:
...I am fairly confident that a close reading of my comments will find the interprentation [sic] of 'rational' to be synonymous with 'winning-strategy-implementation', and 'bayesian' to be synonymous with (in the case that it refers to a person) 'lesswrong-site-member/sequence-implementor/bayes-conspiracist' or (in the case that it refers to cognitive architectures) 'bayesian inference' and
I've been wondering how useful it is for the typical academically strong high schooler to learn math deeply. Here by "learn deeply" I mean "understanding the concepts and their interrelations" as opposed to learning narrow technical procedures exclusively.
My experience learning math deeply
When I started high school, I wasn't interested in math and I wasn't good at my math coursework. I even got a D in high school geometry, and had to repeat a semester of math.
I subsequently became interested in chemistry, and I thought that I might become a chemist, and so figured that I should learn math better. During my junior year of high school, I supplemented the classes that I was taking by studying calculus on my own, and auditing a course on analytic geometry. I also took physics concurrently.
Through my studies, I started seeing the same concepts over and over again in different contexts, and I became versatile with them, capable of fluently applying them in conjunction with one another. This awakened a new sense of awareness in me, of the type that Bill Thurston described in his essay Mathematics Education:
I understood the physical world, the human world, and myself in a way that I had never before. Reality seemed full of limitless possibilities. Those months were the happiest of my life to date.
More prosaically, my academic performance improved a lot, and I found it much easier to understand technical content (physics, economics, statistics etc.) ever after.
So in my own case, learning math deeply had very high returns.
How generalizable is this?
I have an intuition that many other people would benefit a great deal from learning math deeply, but I know that I'm unusual, and I'm aware of the human tendency to implicitly assume that others are similar to us. So I would like to test my beliefs by soliciting feedback from others.
Some ways in which learning math deeply can help are:
Some arguments against learning math deeply being useful are:
I'd be grateful to anyone who's able to expand on these three considerations, or who offers additional considerations against the utility of learning math deeply. I would also be interested in any anecdotal evidence about benefits (or lack thereof) that readers have received from learning math deeply.