Humans are bad at processing large sets of similar data occurring repeatedly. It comes up everywhere: - On-Call alerts received by my engineering team for our

Humans are bad at processing large sets of similar data occurring repeatedly. It comes up everywhere: - On-Call alerts received by my engineering team for our microservices that usually self-resolve result in the first action being taken by the engineers to be "just wait and see if it's a false alarm." We work to reduce the number alerts overall to reduce the noise. - I'm reminded of "Cigna saves millions by having its doctors reject claims without reading them" https://news.ycombinator.com/item?id=35304017 https://news.ycombinator.com/item?id=35304017 In order to keep up with the claims, they just auto-rejected them to see if they were appealed in a way to filter out the "noise." - We hear so much about Tesla's "FSD (Supervised)" and it's request that drivers "don't become complacent" but it happens anyway. After enough time behind the wheel with FSD enabled, we are swayed by the string of successes to become overly trusting of the tech.