@duolingo you won’t let me leave the screen I did not ask you to present me until I commit to a streak with a friend. I am a paying customer. Stop bullying me.
@EE I am in Switzerland, I can't log on because the passcodes you claim you have sent me aren't getting through and the number you have given me to call you doesn't work. What do you suggest?
@AdanBecerraPhD @RWJE_BA@5_utr@f2harrell It’s kind of difficult to explain to a community that a) is only interested in point estimates because b) what only matters is what happens when “n” goes to infinity but c) can’t explain what “n” is.
@AvantiWestCoast any chance you could nudge your ticket inspector on the train that was due to arrive at Edinburgh at 22:21 but was delayed at Wolverhampton to give the passengers an update? Just a thought.
@yudapearl@f2harrell My opinion is that a fusion of causal inference and statistics would be very powerful. DAGs as currently used don’t seem to tell us how to analyse complex experiments. Some of the causal work on observational data is very interesting.
@soboleffspaces@yudapearl I like de Finetti “ The mathematician abstracts from reality, falls in love with the abstraction and then blamed reality for not conforming to it” (From memory.)
@yudapearl@RWJE_BA “The reason is that the individual effects... are suspect of contamination by selection bias and placebo effects”
How do you deal with this problem in your observational studies?
@soboleffspaces@yudapearl Of course, I also expect that potato farmers understand about clusters so I wonder when you are going to accept my challenge to explain them to your causal guru.
@yudapearl@RWJE_BA Explain to me where you did take into account the study effect for your observational data.
Please clarify where the self-designated precise answer as regards this may be found.
All I see is that you implicitly assume it is zero.
@yudapearl@RWJE_BA A Mueller and Pearl note, "the individual effects, P(yt) and P(yc), are suspect of contamination by selection bias and placebo effects." What they don't explain is how, if this is a problem that RCTs have to face, observational studies somehow escape.
@yudapearl@RWJE_BA 2/2) Modern work on using historical data has not ignored study effects but tried to find ways of estimating them. See, for example, https://t.co/z457vMSrlg
@soboleffspaces@yudapearl Indeed. But this reminds me of De Finetti's advice to petroleum exploration CEOs who did not like probabilistic forecasts: "don't drill dry wells".
"Only grow big potatoes," is very useful advice but for one snag.