There’s a current trend called bias-free research, which really saddens me, which is as its name suggests, it sounds as though it’s really good, but actually it’s not.1 It suggests that you don’t have a hypothesis in case you get proved wrong, whereas I subscribe to Karl Popper, who said that science had to have a falsifiable hypothesis. You have to have something to be tested. And I think the biggest mistake is to get so bedazzled by the very awesome techniques that we have, thinking that just by producing data, you can actually produce understanding, and I don’t think that’s the case.

  1. Naive Belief
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