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Re:Nootropics Survey Results And Analysis by tokenadult on Sunday February 16, 2014 @05:07PM (#7249566)
Okay, I have read the fine blog post (which took a while to load). The article leads off by defining nootropics as "substances which purportedly improve mental functioning with relatively few side effects when used responsibility."

The blog post author mentions a few small-n, limited duration studies, and then describes his voluntary-response survey methodology:

"I asked people in the two largest online nootropics communities (that I know of), Reddit’s r/nootropics and Longecity’s Brain Health forum, to take a survey describing their use of 31 different substances. I got 162 responses."

"Respondents were asked to rate their subjective experiences of different nootropics on a scale of zero (completely useless, did nothing) to ten (life-changing). Comments on Reddit suggest several people misunderstood the scale, but not much I can do about that at this point."

So all the data here are voluntary-response data, with the known problem of response bias[1] and other defects about which I have an entire FAQ[2] I post on HN from time to time. Worse than that, all the data are self-report data,[3] which also have plenty of problems, even when gathered in a comprehensive survey with a representative sample of the general population, because of the risks of incorrect self-reports unless checked by other data sources that are objective.[4]

The blog post author then gives a lengthy description, with pretty colored charts, of his hand-waving statistical analysis of these dubious voluntary reponse, self-report data. It would not be wise (that is, it would not be a sign of improved mental functioning) to take these conclusions seriously as a description of how nootropics work, or indeed if they work at all. The author would do well to study fundamental principles of statistics by reading the online articles "Advice to Mathematics Teachers on Evaluating Introductory Statistics Textbooks"[5] and "The Introductory Statistics Course: A Ptolemaic Curriculum?"[6] to wrap his mind around how strictly necessary it is to have a valid data-gathering plan before engaging in any statistical manipulation of the data. Garbage in, garbage out. More background on experiment design to think about while evaluating the blog post kindly submitted here can be found in the essay "Warning Signs in Experimental Design and Interpretation"[7] by Peter Norvig, LISP hacker and director of research at Google, on how to interpret scientific research.

What might big-time convince me to try out a nootropic substance would be an objective demonstration that someone with typical abilities (say, someone who goes into online discussion with a known propensity to believe what's on Reddit without checking it) can become a person with thoughtful insight (say, someone like Peter Norvig) at adult age simply by ingesting the nootropic. On my part, I like to improve mental functioning with relatively few side effects as much as anybody here, and one way I attempt to do that in middle age is by reading thoughtful articles by careful scholars and then discussing those among the learned participants on Hacker News. I'd appreciate comments from any of you about how one could know, objectively and verifiably, that a nootropic substance really does people good (even if they don't feel that themselves). I especially invite comments from participants here who have a professional understanding of statistical studies in clinical trials of new medicines.

[1] https://en.wikipedia.org/wiki/Response_bias

[2] https://news.ycombinator.com/item?id=2322237

[3] https://en.wikipedia.org/wiki/Self-report_study

[4] http://www.ncbi.nlm.nih.gov/pubmed/15528061

http://www.wiley.com/legacy/wileychi/barker/supp/excerpt.pdf

[5] http://statland.org/MyPapers/MAAFIXED.PDF

[6] http://escholarship.org/uc/item/6hb3k0nz

[7] http://norvig.com/experiment-design.html

Re:Nootropics Survey Results And Analysis by nl on Sunday February 16, 2014 @05:57PM (#7249728)
I'm sorry, but that's a terrible comment.

Medical progress often starts with observations, and is confirmed by trials. Penicillin is one such example.

To discount the value of observations is to ignore an important part of the discovery process.

There is extremely limited data available around the use of nootropics for mind enhancement (as opposed to in medical use for treating illness). In the absence of of such data a survey like this indicates that there are a few things worth studying in more depth (and some supposed nootropics that seem worthless).

The author appears extremely aware of the problems with their methodology, and makes no attempts to hide these problems. To pull quotes:

The online nootropics community consists of mostly healthy individuals looking to use these substances to gain motivation or clearer thinking. They tend to “outpace” the scientific literature, using some substances that haven’t yet been shown to work, or haven’t been shown to benefit healthy individuals. ... " I would have liked to have some placebo nootropics to use as a comparison, but since I wasn’t running a trial, I didn’t have that option. I did, however, try to assess the placebo effect in a couple of sneaky ways." ... "I have very low confidence that these represent real effects rather than artifacts of the gymnastics I had to do to make the data correlatable at all, and I report them only to encourage other people to do more sober analyses."

I think attempting to do this - knowing that people will criticize the methodology - is admirable.

Re:Nootropics Survey Results And Analysis by Natsu on Sunday February 16, 2014 @09:11PM (#7250269)
Observations are one thing, attempts to do any kind of serious study on the results are another. It is not meaningful to do statistics on data that bad.
Re:Nootropics Survey Results And Analysis by nl on Sunday February 16, 2014 @10:12PM (#7250439)
No at all - you just need to be careful what conclusions we draw.

We can safely report the statistic that "more people self report caffeine having an impact than ginseng."

The author goes as far as noting how many people are reporting an impact where there appears to be no known mechanism that impact could be occurring. That's a defensible statistic too.

Data from self-reported surveys isn't entirely useless, and is in medical research often enough for there to be studies on the kinds of error that arise from them: http://scholar.google.com.au/scholar?q=self+reporting+survey...

Re:Nootropics Survey Results And Analysis by bjterry on Sunday February 16, 2014 @05:36PM (#7249662)
I believe the author of this piece is keenly aware of the issues inherent to study designs such as this, which is why he discusses the methodological issues in this post. He has discussed methodological issues at length in previous posts (he is a psychiatry resident, and one who frequently goes back and addresses the primary literature) and that is taken as context to his regular readers, explaining why he doesn't devote more time to disclaimers.

Your exhortation that he should spend more time on basic understanding of statistics is misplaced, because he understands these issues, but he has different philosophical views than you on how information should be gathered and processed. Specifically, it seems to be your view that information received with noise and bias should be given (literally) zero weight, that information should be ignored unless it comes in the form of peer-reviewed, random controlled clinical trials. His philosophical view is that all information should be given some appropriate weight, and that the costs to acquire information are relevant. Random, controlled clinical trials are costly, and so we will never have them on a variety of topics of interest to us. To account for this finiteness of resources, and to suggest which areas could be more fruitful for future formal trials, it seems wise to acquire that information which can be cheaply had. This is an attempt to gather that information.

Re:Nootropics Survey Results And Analysis by Yvain on Sunday February 16, 2014 @06:21PM (#7249795)
What kind of response bias are you expecting here and how would you fix it?

I mean, obviously there is a bias in favor of people who use more nootropics and find nootropics more effective. But since all I was doing was ranking nootropics relative to one another, that should mostly cancel out. I'm not sure why respondents would, for example, be expected to be a group disproportionately likely to have a stronger response to modafinil relative to bacopa compared to the general population.

More pressingly, I'm not sure how I can avoid it besides gathering hundreds of people together and forcing them to try nootropics one by one in controlled conditions, for which I don't have the resources. Even professional studies that select their subjects ahead of time have atrociously high dropout rates. If you have an implementable idea for avoiding response bias on next year's survey I'm happy to go ahead with it, but "not collect any survey data at all because available methodology isn't perfect" seems strictly inferior.

I feel like I hedged myself pretty appropriately: " we can't get good data without way more effort and resources than anyone is willing to put in, but if we ran a survey we could at least get better anecdata", "This survey does not intend to rectify [the confusion as to whether nootropics work at all]", "a pessimist might say that [this is] extracting patterns from random noise", et cetera. But given the choice between giving up because it wasn't perfect and going ahead with hedges, I figured I might as well go ahead.

Re:Nootropics Survey Results And Analysis by barry-cotter on Sunday February 16, 2014 @06:53PM (#7249898)
Scott is well aware of all those issues. Something is, however, generally better than nothing. This is not a randomised clinical trial, not even close. It's not even a longitudinal correlational study. It's an opt in survey with a small sample. Unless you get huge effect sizes you're going to be have low certainty of anything and all it's really useful for is suggesting things for people to try or treatments to be prioritised for testing in higher powered studies.

I especially invite comments from participants here who have a professional understanding of statistical studies in clinical trials of new medicines.

Scott has an M.D. and is currently doing his residency in psychiatry.

Re:Nootropics Survey Results And Analysis by yummyfajitas on Sunday February 16, 2014 @09:52PM (#7250365)
The author would do well to study fundamental principles of statistics...

If only the author understood this. Then he might have written this in the fifth paragraph: "They tend to “outpace” the scientific literature, using some substances that haven’t yet been shown to work...people combine a bewildering variety of chemicals without being sure which ones work better than others or even whether any of them work at all.

This survey does not intend to rectify this state of affairs"

He might also have written in the conclusion: "Overall I was not too impressed with the results of this survey. No unexpected substances jumped out as promising, there was a very wide distribution from “useless” to “life-changing” in nearly everything except the -afinils, and it was very hard to find much of a dose-response relationship anywhere."

"Other goals for the future are to drag people kicking and screaming into reading directions so I know everyone’s rating off the same scale..."

Not every blog post needs to rise to the level of double blind clinical trial.

Re:Nootropics Survey Results And Analysis by otl1248 on Sunday February 16, 2014 @11:22PM (#7250620)
Sounds to me more like a justification for presenting useless statistics and allowing 'outpacers' to give themselves more confirmation bias (which those communities already provide in spades).
Re:Nootropics Survey Results And Analysis by philh on Sunday February 16, 2014 @06:19PM (#7249792)
> What might big-time convince me to try out a nootropic substance would be an objective demonstration that someone with typical abilities (say, someone who goes into online discussion with a known propensity to believe what's on Reddit without checking it) can become a person with thoughtful insight (say, someone like Peter Norvig) at adult age simply by ingesting the nootropic.

I note that Norvig is a really high bar, and that reading and discussing articles is not going to have that level of effect either. (Though what effect it does have, comes at less risk.)

Many people claim that taking modafinil allows them to lose a night's sleep and feel fine the next day. It seems unlikely that they'd be so completely wrong that modafinil is not doing them any short-term good at all. Like, the typical response to "lose a night's sleep" is "have a really obviously bad day tomorrow". It would be difficult for modafinil to make someone so totally oblivious, to their own performance and the comments of people around them, as to not notice this happening.

If modafinil didn't have any clinical studies backing it up, the anecdotal evidence would be enough to convince me with high probability that modafinil has short-term benefits for many people.

Re:Nootropics Survey Results And Analysis by SerenityNow2 on Sunday February 16, 2014 @05:44PM (#7249689)
I think you're missing some context here. The survey was only supposed to be better than the anecdotes that were accumulating previously. Solicited head to head anecdotes are better than unsolicited anecdotes without comparisons.

http://www.reddit.com/r/Nootropics/comments/1xglcg/a_survey_...

This wasn't meant to convince anyone to take nootropics.

Re:Nootropics Survey Results And Analysis by matznerd on Sunday February 16, 2014 @05:39PM (#7249671)
What would you take as objective and verifiable information?
Re:Nootropics Survey Results And Analysis by nitrogen on Sunday February 16, 2014 @05:58PM (#7249732)
I get the impression that he's looking for information that has a well-defined objective measurement (e.g. performance at some standardized task), and is not subject to the selection and survivorship biases of voluntary response data or the biases inherent in subjective responses to questions about subjective experiences, when that experience can be influenced by the subject's expectations.