At our company, we are working with "mechanistic" or mathmatical models rather than stastical approches. I have observed : 1. It is hard than it should be to e

At our company, we are working with "mechanistic" or mathmatical models rather than stastical approches. I have observed : 1. It is hard than it should be to explain the concept to people (particularly VCs) 2 . people struggle to understand that a mechanistic model could have more utlity than a machine learning black box 3. people think you are doing something wrong if you are not using a neural network 4. The less people understand about neural networks, the more they seem to believe they are appropriate for all predictive / modelling problems 5. There is generally quite a low understanding of scientific method in the startup / VC space (speaking as someone who has worked in and around academia for years) vs how "scientific" people believe they are because it sounds good to be data driven and scientific about running startups and funding them.