why P&C actuarial

Insurance exists because people don’t just think in expected values. The average outcome is probably fine, but it’s the left tail that keeps us up at night. So we pay premiums to shave off variance, to make the unbearable merely unlikely. It’s a rational trade.

Picking a career is the same problem flipped. Students sit in the highest-variance position imaginable – no data, no loss history, just priors – and most of us cope by optimizing for expected value. Take the safe path to pay the bills. Clip the right tail. It’s a rational trade too.

There’s always a tradeoff. Expected value or the right tail. Pick one.

I wanted both. Yeah, maybe a little greedy, but P&C is where the math actually works out. In my mind, it is the rare field where the expected value is strong and the right tail is genuinely interesting. This is where someone had to price a self-driving car before the loss data existed. Where flood models need rebuilding because climate risk won’t hold still. Where, eventually, someone will need to underwrite AI agents operating in the real world. There’s always cool stuff to do.

I haven’t picked my exact problem yet, but I’ve picked my field. The rest, I’ll figure out. That’s not variance I want to shave off.