This problem-solving by brute-force data acquisition might be the new direction / perspective science is waiting to be ready for. From what I’ve witnessed here on Less Wrong (this, for example), despite intelligent discussion; reasoning on complex issues rarely gets one closer to correct; either one knew and knows or they didn’t and don’t—presumably this knowledge is based on having or not having a set of experiences and the right data (evidence).
On the other hand … I’m still an advocate of reasoning to, just as you said, bridge that last gap between what we know and what we need to know. Regarding the necessary use of reasoning, I recall this post about using reasoning when necessary, to some extent minimally and optimally.
Later edit: Here, I am using the term ‘reasoning’ in a narrower way as ‘making up theories’ as sort of the traditional/idealistic scientific approach to making hypotheses around the data, instead of just letting the data speak for itself. I inferred this use from the original post.
This problem-solving by brute-force data acquisition might be the new direction / perspective science is waiting to be ready for. From what I’ve witnessed here on Less Wrong (this, for example), despite intelligent discussion; reasoning on complex issues rarely gets one closer to correct; either one knew and knows or they didn’t and don’t—presumably this knowledge is based on having or not having a set of experiences and the right data (evidence).
On the other hand … I’m still an advocate of reasoning to, just as you said, bridge that last gap between what we know and what we need to know. Regarding the necessary use of reasoning, I recall this post about using reasoning when necessary, to some extent minimally and optimally.
Later edit: Here, I am using the term ‘reasoning’ in a narrower way as ‘making up theories’ as sort of the traditional/idealistic scientific approach to making hypotheses around the data, instead of just letting the data speak for itself. I inferred this use from the original post.