1) gather data 2) generalize/​extrapolate (induce) a conclusion from the data 3) the conclusion is probably right, with some exceptions
The problem is step 2 which does not how how to extrapolate a conclusion from a set of data.
Step 1 is problematic also, as I explained in some of my comments to Tim Tyler. What should I gather data about? What kind of data? What measurements are important? How accurate? And so on.
Yes I agree. Another issue I mentioned in one of my comments here is that your data isn’t a random sample of all possible data, so what do you do about bias? (I mean bias in the data, not bias in the person.)
Step 3 is also problematic (as it explicitly acknowledges).
Step 1 is problematic also, as I explained in some of my comments to Tim Tyler. What should I gather data about? What kind of data? What measurements are important? How accurate? And so on.
Yes I agree. Another issue I mentioned in one of my comments here is that your data isn’t a random sample of all possible data, so what do you do about bias? (I mean bias in the data, not bias in the person.)
Step 3 is also problematic (as it explicitly acknowledges).