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IlyaShpitser comments on In praise of gullibility? - Less Wrong Discussion

23 Post author: ahbwramc 18 June 2015 04:52AM

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Comment author: IlyaShpitser 19 June 2015 03:12:09PM *  2 points [-]

No? What do you think my position is?

Model bias is not a joke. If your model is severely biased, it is giving you garbage. I am not sure in what sense a model that outputs garbage is better than no model at all. The former just gives you a false sense of confidence, because math was used.

If you think there are [reasons] where the model isn't completely garbage, or we can put bounds on garbage, or something, then that is a useful conversation to have.

If you set up the conversation where it's the garbage model or no science at all, then you are engaged in rhetoric, not science.

Comment author: Lumifer 19 June 2015 04:00:47PM 0 points [-]

If you set up the conversation where it's the garbage model or no science at all

If you don't want to talk in binary black-or-white terms, perhaps you shouldn't lead with a set-up where a model outputs either truth or garbage ;-)

Comment author: TheAncientGeek 19 June 2015 05:19:35PM *  0 points [-]

I don't suppose public policy is based on a single model.

If you read back, nothing has been said about any specific model, so no such claim needs defending.

If you read back, it has been suggested that there is a much better way of doing climate .science than modelling of any kind....but details are lacking.

Comment author: IlyaShpitser 19 June 2015 05:28:18PM *  2 points [-]

If I read back I also read things like this:

Understanding causal structure seems to be something that is kind of shiny and impressive sounding, connotationally, but doesn't mean much

No, it means a whole lot. You need to get the causal structure right, or at least reasonably close, or your model is garbage for policy. See also: "irrational policy of managing the news."

I fight this fight, along with my colleagues, in much simpler settings than weather. And it is still difficult.

Comment author: Lumifer 19 June 2015 05:44:48PM 3 points [-]

You need to get the causal structure right, or at least reasonably close, or your model is garbage for policy.

Related. Sample:

The whole “normative sociology” concept has its origins in a joke that Robert Nozick made, in Anarchy, State and Utopia, where he claimed, in an offhand way, that “Normative sociology, the study of what the causes of problems ought to be, greatly fascinates us all”(247). Despite the casual manner in which he made the remark, the observation is an astute one. Often when we study social problems, there is an almost irresistible temptation to study what we would like the cause of those problems to be (for whatever reason), to the neglect of the actual causes. When this goes uncorrected, you can get the phenomenon of “politically correct” explanations for various social problems – where there’s no hard evidence that A actually causes B, but where people, for one reason or another, think that A ought to be the explanation for B. This can lead to a situation in which denying that A is the cause of B becomes morally stigmatized, and so people affirm the connection primarily because they feel obliged to, not because they’ve been persuaded by any evidence.

Comment author: TheAncientGeek 19 June 2015 05:37:32PM 0 points [-]

Getting causal structure right in that sense is not an alternative to modelling, it is part of getting modelling right.

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