I often think that one of the biggest changes that could come would be the mass adoption of through statistical analysis classes as part of graduate programs.<p>There's far, far too many people I've know who just don't understand it.<p>I also see many forces working against it. For one, it'd show up the ignorance of a lot of the academic world.<p>I've known high level people, like a MD, who simply didn't fully grasp some basic concepts of statistical analysis (like P-value hacking, questioning sample size, comparisons between raw numbers, etc)
I made this as well. Hopefully this helps too: <a href="https://www.youtube.com/watch?v=HSwefZMyjV0&t=14s" rel="nofollow">https://www.youtube.com/watch?v=HSwefZMyjV0&t=14s</a>
While I knew the concepts of log I first truly understood it when I started looking at everything as log2. In hindsight I feel like a moron, obviously it is about doubling and halving risks is what it's about (I'm an MD so everything is a risk ratio in my field).<p>I remember a colegue that was presenting results during their defense of a thesis where one risk ratio 0,45 and the other 2,1. I asked which effect was biggest and they automatically replied 2,1. I'm pretty sure that 80%+ of my colegues would make the same mistake. Everyone understands double/half - we should try to teach people this as the word log is just too intimidating for so many.