Our latest app, AR Pianist, uses machine learning to superimpose a virtual pianist on your piano. It works with any piano and features a library of songs performed by award winning pianists. #ar #arkit #ai #ios #vr #coreml #app #piano #apple #music #education #augementedreality pic.twitter.com/a7W7KYvoiP
— Fayez Salka (@fayezsalka) December 2, 2019
What links these examples is the phenomenon of continuing to throw good resources (time or money) after bad, hoping for things to improve when there’s no good reason to believe they will.
In other words, people are loath to cut their losses. We are much more likely to continue to senselessly plough time or money into a project that isn’t working out, in the hope that it will get better, than take a hit and walk away. What drives this is optimism (that, against the odds, the situation will improve) and an aversion to failure.
“We are all susceptible to these biases”, says Dr Jim Everett, a social psychologist and researcher at Leiden University. “But often, we can partially offset them by taking a step back and thinking through the alternatives.”