Many heuristics are sloppy, which only matters in edge cases, but much cheaper in standard use cases. Using them instead of thinking through things fully saves time and energy, though it’s sometimes wrong.
I don’t know if that’s usefully described as a “bias”, though, provided that the person understands the tradeoffs of what they’re doing. Properly used, heuristics (and other forms of estimation) lose precision, but not accuracy.
Can you provide some specific real examples of this?
Many heuristics are sloppy, which only matters in edge cases, but much cheaper in standard use cases. Using them instead of thinking through things fully saves time and energy, though it’s sometimes wrong.
I don’t know if that’s usefully described as a “bias”, though, provided that the person understands the tradeoffs of what they’re doing. Properly used, heuristics (and other forms of estimation) lose precision, but not accuracy.