I started, and then realised how complicated is to choose a set of variables and weights to make sense of āhow privileged am Iā or āhow lucky am Iā.
I have an MVP (but ran out of free LLM assistance), and right now the biggest downside is that if I include several variables, the results tend to be far from the top. And I donāt know what to do about this.
For instance, letās say that in āhealthcare accessā, having good public coverage puts you in the top 10% bracket (number made up). Then, if you pick 95% as the reference point for that any weighted average including this will miss on some distance to the top.
So just a weighted average of different questions is not good enough I guess.
+1 on wanting a more model-based version of this.
And +1 to you vibe coding it!
Upon seeing this, I had the same thought about vibe coding a more model-based version ā¦ so, race you to whoever gets around to it?
I started, and then realised how complicated is to choose a set of variables and weights to make sense of āhow privileged am Iā or āhow lucky am Iā.
I have an MVP (but ran out of free LLM assistance), and right now the biggest downside is that if I include several variables, the results tend to be far from the top. And I donāt know what to do about this.
For instance, letās say that in āhealthcare accessā, having good public coverage puts you in the top 10% bracket (number made up). Then, if you pick 95% as the reference point for that any weighted average including this will miss on some distance to the top.
So just a weighted average of different questions is not good enough I guess.
We can discuss and workshop it if you want.
Hereās my attempt at percentile of job preference.