Science is an air reduction method, that's basically what it's about. We like to think we kind of buill toward some a kind of abasian confidence that the hypothesis is probably true or 90 % truer. What i'm talking about here are the main source of noises. It's individual differences in how we see the world. Andd it's very difficult to pring them down well. I mean, how do we know what's true? The fact that you and i can be looking at the same thing and seeing something different, that's kind of disturbing. So we need to have, well, this is the whole point of science, write the the community of scientists
Imagine that two doctors in the same city give different diagnoses to identical patients. Now imagine that the same doctor making a different decision depending on whether it is morning or afternoon, or Monday rather than Wednesday. This is an example of noise: variability in judgments that should be identical.
Shermer speaks with Nobel Prize winning psychologist and economist Daniel Kahneman about the detrimental effects of noise and what we can do to reduce both noise and bias, and make better decisions in: medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection.