Hat tip to homasse:
Experimental evidence for precognitive ability
The paper, due to appear in the Journal of Personality and Social Psychology before the end of the year, is the culmination of eight years' work by Daryl Bem of Cornell University in Ithaca, New York. "I purposely waited until I thought there was a critical mass that wasn't a statistical fluke," he says.
It describes a series of experiments involving more than 1000 student volunteers. In most of the tests, Bem took well-studied psychological phenomena and simply reversed the sequence, so that the event generally interpreted as the cause happened after the tested behaviour rather than before it.
The alternative interpretation of this work is that the interpretation of previous studies as causation (e.g., typing a random selection of words causes improved recall of those words in a second task) is flawed. Technically all that has been found is that there's a typing-then-remembering correlation (in previous studies) and a remembering-then-typing correlation (in this study). Correlation does not imply causation; so even though the causative story is extremely plausible in the old studies and no non-precognitive causative story seems plausible in the current study, that doesn't necessarily mean that either causative story is correct.
For all the hard scientifical review the preprint is receiving, I'm surprised that this point hasn't been mentioned anywhere. IMO, refuting the standard causative story would be just as fascinating as supporting the precognitive story. It would imply that there are macro-scale quantum effects (e.g., where remembering words from a list and typing random words from that list are coupled), whereas it has long been believed that quantum effects only arise at scales too small to be detected by unaided human perception. If there really are macro-scale quantum effects, it seriously fucks with both physics and philosophy (to say nothing of psychology). Whichever way it turns out, it's still awesome.
Edit (2011.06.29): Here is an excellent examination of a lot of the debate this article caused.
no subject
Date: 2010-11-13 01:09 am (UTC)From:"Are Self-identified Bisexuals Just Lying to Us—or to Themselves?"
0_o
(The contents of the link are just as 0_o as the title would imply.)
Also, I haven't read this carefully, but it looks like some people have already called shenanigans:
http://dl.dropbox.com/u/1018886/Bem6.pdf
no subject
Date: 2010-11-13 04:22 am (UTC)From:Unfortunately, reading the abstract of Bem's paper, it's clear that he's actually trying to show evidence for parapsychology, as opposed to making the parapsychology-or-standard-methods-are-broken argument. Unless my subtlety-dar is broken.
From this dude's home page: "Are Self-identified Bisexuals Just Lying to Us—or to Themselves?"
O_o indeed.
no subject
Date: 2010-11-13 04:32 am (UTC)From:To be fair, if you read the posting it seems rather reasonable and its thesis doesn't match the title. Indeed, Bem is arguing against both sides of the disjunction. From the tone of the writing and the comment that it was posted online to Sexnet, I'd guess that the title comes from the discussion thread rather than from Bem himself.
no subject
Date: 2010-11-13 05:15 pm (UTC)From:no subject
Date: 2010-11-14 12:04 am (UTC)From:I should like to offer an alternative perspective on a subset of those men and women who describe themselves as bisexual, an alternative to the unflattering view that they are all lying, deceiving themselves, or “transitioning” to homosexuality.
That sounds a lot like he's disagreeing with the view that bis are lying etc, not that he's agreeing with the "unflattering view". Granted, he does go on to state that he believes many self-described bisexuals are predominantly gay/straight. But, the reasoning he presents ---however suspect it may be--- does match many of the stories I've heard from friends over the years about their own lives and trying to understand whatever their sexuality is. It's certainly not the lived experience of all bisexuals, but it does capture something about many people who identify thus.
It's well documented (to the extent that any research on sexuality can be trusted) that there is a discrepancy between those who identify as bisexual and their self-reports of how attracted they are to each sex and what sorts of relationships they've been in. The conventional analysis of this discrepancy is the "unflattering view", which I think is completely wrong as well as grossly insulting. However, the discrepancy remains. The idea that romantic and sexual drives are essentially distinct matches my own experience as well as those of many of my friends, and it does offer a non-insulting explanation for the discrepancy. Thus, the blurb seems fairly reasonable to me. I don't see him assuming that only gay and straight orientations exist, so much as assuming that self-reports of attraction and behavior come out as mostly heterosexual or homosexual.
Granted, toward the end where Bem starts hypothesizing about differences in men vs women re these drives, that part is hokum trying to justify the cis-patriarchal ideology of men vs women. But still the whole thing still reads to me like he's arguing against the "unflattering view" and positing a framework which seems to match the lived experiences I've been privy to.
Yeah, linking to it from his homepage is a bit peculiar.
no subject
Date: 2010-11-13 01:46 am (UTC)From:"I purposely waited until I thought there was a critical mass that wasn't a statistical fluke," he says.
That bit there is a red flag to me. The decision about when to stop an experiment should NOT be based on the significance figures for results to date, otherwise you're at great risk of cherry-picking.
If I run a random number generator and keep rerunning the p-value, I will see that drift all over the place. Every so often, it'll drift into 'significant' territory; as the trial goes on that drift will slow, but wait long enough and you can meet any significance threshold you like.
If you have a few hundred colleagues running similar experiments, all holding off on publishing until they get a strong finding, you can get some *really* impressive-looking results.
no subject
Date: 2010-11-13 02:13 am (UTC)From:no subject
Date: 2010-11-13 02:28 am (UTC)From: