alt Hacker NewsI was able to run some stats at scale on this and people who make mistakes are more likely to make more mistakes, not less. Essentially sampling from a distribution of a propensity for mistakes and this dominated any sign of learning from mistakes. Someone who repeatedly makes mistakes is not repeatedly learning, they are accident prone.
Replies
lolive • today at 3:13 AM
What if you define a hard rule from this statistics that « you must fire anyone on error one »? Won’t your company be empty in a rather short timeframe? [or will be composed only of doingNothing people?]
➕ show 1 reply
Dibby053 • today at 4:22 AM
Can you elaborate? What scale? What kind of mistakes? This sounds quite interesting.
My impression of mistakes was that they were an indicator of someone who was doing a lot of work. They're not necessarily making mistakes at a higher rate per unit of work, they just do more of both per unit of time.
From that perspective, it makes sense that the people who made the most mistakes in the past will also make the most mistakes in the future, but it's only because the people who did the most work in the past will do the most work in the future.
If you fire everyone who makes mistakes you'll be left only with the people who never make anything at all.