Viliam comments on Open Thread, May 4 - May 10, 2015 - Less Wrong Discussion
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Interested in what you guys think about this. Jayman(hbd blogger) say's parenting has no effect on how children turn out. Seems empirically incorrect to me and it's just probably difficult to encapsulate the results/hard to see non-linearities to make it easy to reference.
He insists on twin-adoption studies contrary to my views.
Thoughts? This sort of seems like the two cultures divide we agree on. I might make a thread just for this.
Argument: Does parenting have any effect on child outcomes?
His view: Zero effect & Breast milk confers no advantage either
My view: Parenting has some variable effect that is difficult to encapsulate in the studies he references while maintaining the correctness and good taste of genetic arguments.
I cite decision theory, statistical inference, study design, and the related area as being primal over empirical references which have failed to encapsulate the effects he is pointing to in his observables. Statistical inference just doesn't work like that to give such strong conclusions. Any one who reads the literature on study design/inference knows that it's just not possible to give recommendations that are that strong. Sort of in the realm is Isaac Levi's "Gambling with the Truth" if not only the first few chapters although not quite, probably just statistical study design/inference in general.
Thoughts any one? I think scientists or empirical researchers are not used to being told that there is a higher plane of reference. Saying that there is zero influence is equivalent to saying all the relevant variables have been enumerated and assigned exact values for probability & effect and that there is nothing else to be assigned.
I believe my orientation is correct.
edit: I might add that not ONLY would that be saying that the relevant variables have been completely enumerated && assigned cost functions but that we are sure there is nothing else(no uncertainty) and that we are sure they all equal zero/canceled out.
Breast milk "confers no advantage" compared to what?
(baby dying from starvation? water? cow milk? soylent? infant formula -- which one?)
All that stuff that exists in breast milk -- such as immunoglobulin A, lysozyme, blood albumin, creatine -- it's just completely useless, I guess. I wonder why evolution even bothered to design such system, when it provides no advantage. (This is a sarcastic way to say "my priors for this hypothesis are very low".)
Wait did you mean for Jayman's hypothesis is low or breast milk?
(I'm not Viliam, but:) For Jayman's hypothesis, obviously. The argument is: Here's all this complex machinery put in place by evolution; it's terribly unlikely that what it does is actually useless.
(That would argue that breast milk is a good food for babies, which I don't think anyone denies. It's only a strong argument against feeding them infant formula in so far as we have reason to think that formula doesn't have in it those things that evolution helpfully put into human breast milk.)
Yes, low priors for Jayman's hypothesis. Although it wasn't sufficiently specified what exactly his hypothesis was, so I could be arguing against a strawman.
I am not an expert on infant formulas, but I think that if someone could factory-produce a drink that updates your immune system (as breast milk does), that would have huge implications in medicine. Essentially, we could replace vaccination by drinking soylent.
There have been many randomized controlled experiments of breast milk vs formula. Every single one of them has shown no effect.
I just did a little googling and that appears to be untrue. What's the source of your information?
The first hits from a Google search for <<random controlled trial breast formula milk>> were:
And that's the end of the first page. So it looks to me as if
Which seems like pretty much the reverse of what you say. But of course looking briefly at one page of Google results is not a proper scholarly literature review; would you like to tell us more?
http://www.bayesianrisk.com/chapters.html http://www.bayesianrisk.com/sample_chapters/Chapter%201%20There%20is%20more%20to%20assessing%20risk%20than%20statistics.pdf
I agree with Viliam & gym. This just points to the limits of statistical knowledge & that we need to supplement with other logical-experimental knowledge, such as arguments from evolution.
Risk cannot only be based on statistical knowledge, as chapter one of bayesian risk argues.
Always a good questions to ask.