The proliferation of libraries that make it trivial to do machine learning. I know plenty of professional data scientists with liberal arts/business degrees who never completed calculus.
I'd say the bulk of the data scientists I work with now are non-cs/math people. I work with some math/stats PhDs too, but they are outnumbered like 3 to 1.
You could ask the same question about any security. Yes, traders in general are incentivized to bid/ask near the actual value of the underlying security.
The difference between securities in the abstract and a trustworthy, 100% reserve stablecoin is that the value of the latter is both known ($1) and stable (at least in USD terms).
Yeah, stablecoins really are as simple as naming it a stable coin and pledging 100% real currency backing, so long as you can convince traders you are trustworthy. E.g., I have some confidence Coinbase is trustworthy; I have zero confidence Bitfinex is trustworthy.
Well, you can obtain these results with Google, but not really in most scenarios. For example, if you search "cities in Palestine with more than 1000 inhabitants" you will get lists of cities in Palestine and things like that, but not that New York Times article talking about Hebron (and not even a complete list of cities that match your criteria). This happens with lots of queries, where in the best case scenario Google will just return you a list of items (and not actual content talking about those items) and in the worst case scenario you will just get random results because it failed to parse the query.
