4,612 karma · joined May 24, 2020
I worked in the "Innovation Lab", which had been designed to look like an ad agency's idea of Innovation -- brushed metal, Edison lightbulbs, that kind of thing. They'd bring clients through on tours to show off how much Innovation was going on. Meanwhile, I didn't really have that much to do, and no one seemed very concerned about that. Soon I realized I was also part of the decoration - a genuine Data Scientist, hard at work Innovating.
Our group produced approximately nothing. Our boss's boss was evaluated mostly based on how much he was able to sell people's medical data for.
On average, the S&P500 has returned about 7% annually. If I had a strategy that returned 5% on average but was totally uncorrelated with the S&P, then you'd get the best overall long-term returns (maximize the geometric average of annual returns) by investing in a combination of my strategy and the S&P.
As another comment noted, perhaps he should have opened a laundromat or video arcade to launder the stolen money.
Really, fMRI studies are their own form of neurotargeting, though aimed at ad buyers rather than ad consumers. Pretty colorful pictures of the brain convey the idea "Gosh, we're so smart and advanced and differentiated from those other ad agencies", even if those pretty pictures provided basically no new insights into how to sell anything.
Lagged returns is exactly the explanation here. They publish the table of investments and returns by year. Obviously you don't get your money back the same year you invest it. It's more often a ~7 year investment. But let's round down to 5 years.
Look at the chart and compare the investment in PE to the return 5 years later. It's a gain of 80-100% in that time.
This is simply how the math works when the investments into a strategy are growing exponentially, with a delayed return. It can continue indefinitely to produce 100% returns for investors, while a snapshot at any given time will make it look like the strategy has lost money overall.
And it makes sense to do that. If we ever have a shooting war against Russia or China, the nukes will start flying and a) many people will die, but also b) our existing weapons supplies and industry will be destroyed.
We're building weapons that are well suited for the environment they are meant to be used in.
BUT: her cancer had a druggable mutation. She took Tarceva, then Tagrisso. She lived 7 years, before an aggressive lymphoma finally ended things.
The side effects were not pleasant. Her hair and skin got weird, and she had extensive digestive problems. But I am immensely grateful to the researchers who developed these drugs and allowed her to live long enough to see her first grandchild make it to kindergarten.
How would you distinguish between a clique and a group of people who cite each other because they work on the same topic?