Would it be possible for the source for this simulation to be released? To allow others to play with this. Namely, I'd like to see: * Effect of Microsoft/Netfl

Would it be possible for the source for this simulation to be released? To allow others to play with this. Namely, I'd like to see: * Effect of Microsoft/Netflix policy of periodically laying off the bottom n% of the company * Effect of churn (which tends to hit both the bottom and top more so than the average). * Seeding by initial founding engineers. Founders generally have to be strongly competent engineers (95th-98th percentile), but not very many are actually 99.9th percentile "10x" engineers (e.g., Brad Fitzpatrick of Livejournal, Bill Joy of Sun, Max Levchin of Paypal). * Speaking of "Nx engineers", how about a logarithmic (with log_2) scale of skill rather than a linear? Of course, there is also the question: an interview shows tests aptitude (and an error rate of the interview process implies error rate in determining aptitude), but more factors play a role in actual measured performance. I wonder if this is factored in to the metrics: foreach interview_score in range(1,5): foreach year in range(1,4): foreach performance_score in range(1,5): p ( performance_score | interview_score ) at year A company very likely must (by law) have performance_score data and it should be easy to reconstruct interview score data (unless interviewers are sloppy about writing down their feedback and decisions are made by a hiring manager based on oral input).