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> So research is not allowed to be respected by scientists if done with underlying business interests? Not quite. It's more in the line of identifying potentia
by nuerow 5y ago
> So research is not allowed to be respected by scientists if done with underlying business interests?
Not quite. It's more in the line of identifying potential bad actors to not grant them oportunities to poison the well, waste resources, and outright sabotage progress.
> So you should intentionally bias your results if they don't fit the narrative you wanted?
Not quite. It's more in the line of exercise critical thinking when analysing said work, and there are doubts or extraordinary claims or editorialized nuances (i.e., claims that glasses are half full to undermine and attack findings supporting the emptying glasses theory).
> This gets to the core of the problem. It assumes scientists know the truth and the 'correct' studies.
The job of a scientist consists of gathering data, analising results, and help explain and model phenomena so that we learn more about a subject and understand it better.
As part of this job, experiments are made and reproduced, and observations are reported in studies.
Non-"correct" studies are those that include claims and data that are not credible, reliable, and are outright unbelievable. With enough work, some of those are recanted, but they still cause problems as supporters of fringe theories, conspiracies, and outright lunacy have been known to continue using them to support their wild claims.
- pdonis 5y ago> The job of a scientist consists of gathering data, analising results, and help explain and model phenomena so that we learn more about a subject and understand it better. As part of this job, experiments are made and reproduced, and observations are reported in studies. As part of this job in areas where experiments can be done, yes. But in many areas of science, experiments cannot be done. Models can be constructed, but there is no way to validate them with controlled experiments the way you can in, say, particle physics. That means our level of confidence in models in such areas should be reduced; we should not even be saying that such models are "correct", because that level of confidence is simply not justified.