| I think you're romanticizing a past era and idea of science. Approaches aren't old fashioned for arbitrary reasons! They're old fashioned because they don't work. Science is pretty cutthroat. No one wants to leave anything on the table. If those methods worked to discover big ideas people would be pushing them. There are plenty of people out there who are what I'd call crash and burn scientists. The kinds of people who bet their entire careers on doing one big splashy thing. If it works out, great! If it doesn't, they're out of a job. If the old timey methods worked for finding such ideas people would be pumping them hard. But don't. And there's a reason why we hardly made any progress until about 100 years ago when we stopped doing science this way. Splitting subgroups isn't inherently bad! Heck, something like stratifying autism is one of those big problems people burn their entire careers on. But after trying to do this based on case studies for decades, we've learned it basically doesn't work as a method. Splits come out from mechanistic hypotheses and/or in the data at scale when you have controls. I do agree that the old-timey way of doing this is much more pleasant. But it's just not effective or what we would call science today. Even if you look at the case of Omegaven. It was the animal studies that saved them. Boring science with controls, etc. The main problem they had is that funding agencies are too conservative. Which is true! The vast majority of scientists would agree with that statement. We need to take more risks and funding agencies need to be ok with more failures. Sadly, funding agencies don't agree. I'm not writing this to be mean! I'm writing it because I see the impulse to follow this approach to science all the time in new grad students. I think you could be far more effective if you took a different much more scientific approach. Citizen science has a real chance of completely revolutionizing nutritional science because our studies are so incredibly bad. But the solution isn't to throw the science part out, it's to fix the part that we know is bad: small studies with bad controls and really poor reporting. We're a good app + a large community that's willing to play ball away from changing the world. Happy to chat more :) |
1. Science has become so abstract that it's very easy to cheat with statistics and methodology. This is both due to the enormous complexity which makes it hard to verify, but also because there are few low-hanging fruits, and people are pressured to show a result. I even had that pressure in high school in some classes to show results from nothing!
2. There are many areas which are so advanced that the overwhelming majority of us, and even experts barely comprehend any of it, but simultaneously there's many things which we barely know anything about. Sadly or not sadly, many of these areas are simply neglected because universities and companies aren't interested in them. That doesn't mean that these areas are useless or impossible to research, they are just either niche or non-existent. Now, people in those areas obviously won't use the "new" scientific methods since they don't even know themselves what will happen or how it works, so it's not possible to theoretise it in a similar way, unless if they randomly make them up.
Also, many (I would even say most) publications can safely be cut down by 50% without losing anything of value. I am saying this because you mentioned science is cutthroat - but it isn't cutthroat in coming up with new experiments, tools and making observations, it's mostly cutthroat in academia politics, falsifying/p-hacking data and writing eloquent bullshit in the form of shibboleths designed to be read by other peers in academia.