The conclusion of this data presentation is that so of these people are our collective responsibility, and I just wasn't convinced. I wish they had shown percentages with the visualization. They choose not to. I was underwhelmed by some points that seemed like they should have been more shocking. Look at the huge number of people in the many adverse experiences category who made it to college, and make a high salary.…
The argument of the data seems to say we should put resources towards those with more adverse experiences in childhood. But I wonder, if you were optimizing for improving more people's lives in a more meaningful way with limited funds, would you come to the conclusion that you could do so by focusing on improving the lives of those in the no adverse experiences group because you might be able to get more "life improv…
I believe there is behavioral game theory research that shows we are hard-wired for "fairness", even at the expense of a more optimal solution. E.g., Two subjects are given $100 to split and one was allowed to determine the split and the other the choice to accept it or both would go with nothing. A "$90/$10" split would often be rejected, even though the decider is giving up $10 and instead choosing nothing because of a sense of being slighted.