“In the tech world, particularly after PayPal was sold to eBay, the dogma for many years was ‘Don't ever do payments, it's too hard and fraud will blow up and destroy you.’ And during the first internet wave, that was true. It was a challenge to get the type of data and information you needed to really deal with fraud at scale,” he says. “But fast forward to today and take a look at companies such as Stripe and Affirm. It seems that the fraud problems weren’t as bad as we thought and we’ve since developed systems, processes and data science tools that just didn’t exist back then. So if you’d applied first principles thinking five or 10 years ago, asking if those assumptions were still true and digging into whether it was still too hard, then maybe you would have come to a very different conclusion about starting a payments company and gotten ahead of the curve.”
http://firstround.com/review/future-founders-heres-how-to-sp...
At some point in the 1930s a paper was written arguing from first principles that a jet engine could not work to propel a plane. Axial flow compressors were to inefficient and radial-flow compressors generated too much drag.
What the author didn't know is that another already written paper had come up with significant improvements to axial-flow compressors by using airfoil-shaped blades, which combined with improved metallurgy was more than sufficient for a working turbojet.
So it was a perfectly sound argument for why something was impossible, but it was still wrong because the assumptions were changing.
The tech industry looks like this all the time; in many of pg's essays he mentions that a lot of successful ideas look like toys, and part of the reason for that is this core concept; as the underlying assumptions change something can morph from a toy to big business overnight.