Earlier quoted context omitted.
I can second this. Working in industry, the bar is quite high for rigor. The general attitude of industrial researchers is to be very very skeptical of academia, since a lot of things just don't reproduce (cherry-picked data, p-hacking, only work in a narrow domain, etc., etc.). These researchers are almost all people with PhDs in various science fields, so not exactly skeptics.
The bar is different, but so are the aims. Industry works solely on stuff that's reproducible because it wants to put these things into practice. That makes for an admirable level of rigor, but constrains their freedom to look at unprofitable and unlikely ideas. That inevitably results in inadvertent p-hacking. The first attempt to look at something unexpected is always "This might be nothing, but..." They call in ot…
I think what I mean to say is that the skills required in industrial research (which can be quite speculative in well-funded companies, by which I mean a 5% chance of success or so) are somewhat different from those required in academia.