Looks to me like the peak of the bell curve falls at about +10%. That's in the same ballpark as what I'd expect from placebo, but nonetheless a little higher; if we're instead looking at a lot of low-impact interventions, the really interesting question is how parallelizable they are. Unfortunately, if the natural variance in lifespan is anything to go by I suspect the answer is "not very".
There's also that really sharp spike at 0%, but I can think we can probably put some of that down to psychology.
That's in the same ballpark as what I'd expect from placebo, but nonetheless a little higher
Or stuff like publication bias (one reason I was interested in whether a funnel plot could be formed from the data).
Previous:
From the excellent Fight Aging! blog comes a pointer to "A Histogram of Results from Life Span Studies", a graph of thousands of animal studies by Kingsley G. Morse Jr. (updated version from mailing list):
(This is not the same as a funnel plot, as the y-axis is # of studies finding that percentage gain and nothing to do with the n of studies.)
On the closed GRG mailing list, the compiler says:
I asked some questions, and Steven B. Harris replied:
The relevance of this summary graph to news like the C60 rodent life extension experiment is obvious. Reading GRG has been interesting and educational about that experiment; a rough summary of points made by various people including myself: