I believe the monkey gland is called that because around the time it was invented there was a surgeon (Serge Voronoff) who was promoting a surgery in which he would implant baboon testicles into men (there was a corresponding surgery for women as well). It was supposed to improve the libido. An early, probably ineffective form of hormone replacement therapy.
Which still sounds super fake to me. It takes a host of modern drugs to prevent rejection when doing human-to-human transplants. I have long odds that monkey tissue would result in anything but a painful, septic death.
As a medical benchmark, penicillin was discovered in 1928.
Edit: I was ignoring the obvious - sham surgery! Just leave a bit of a scar, maybe inject them with some cocaine, and everyone comes out smiling.
I think most of the ostensible age discrimination is explained by the tech industry's massive growth over the past 50 years (means more young people are hired than old people because they have the skills).
Algorithmic betting is widespread in horse racing now. I can't remember the exact figures but I think it's estimated to be about 40% of the total handle. There is a company that will allow individuals to connect directly to the betting pools and wager automatically. It's rumored that the biggest two bettors are betting over $1bn a year (of course a lot of that is recycled from prior payouts).
He had a sharpe ratio similar to early Rentech and used much less leverage. Probably would have had similar returns to them if if he used similar amounts of leverage. From interviews with him he seems extremely risk averse. Alumni of his fund now run one of the few firms that could be considered a Rentech peer.
It's a little hard to say for sure because companies can stay private longer and in some cases don't need to go public at all, but it seems that the last wave of huge successes were founded pre-2015 and since then the industry has been looking for the next wave, first with crypto, now with AI, and there are some tentative pushes into manufacturing/defense.
AI actually seems like a great fit for the VC business model, much more so than most SaaS companies are. Successes are likely to make a ton of money and they can't self finance or finance with debt because they need to spend a huge amount of money.