arewenearlythereyet
Senior Member (Voting Rights)
I think it’s worth clarifying my comments on bias. This isn’t about people consciously deliberately making things up. The example I give above is not to call out people not telling the truth...most of those 90% are genuine in their belief. It’s just that facts prove that their belief was wrong and most of this is down to wrongly attributing cause, based on a deep seated unconscious bias.Of course there is bias but if there is any bias regarding drinking beer, here, it's way in favour of it, still, despite the known toxic effects. And you would be hard-pressed to convince me that the three days that I spent in bed after the last time I attempted to be normally social by drinking beer at a party was the result of some sort of perceptual difficulty.
I had the impression that what was being proposed was a proper biochemical study, not just a questionaire. Though the subjects would have to be selected on the basis of self-reporting, I suppose, are there really so many people with so much time on their hands as to make something like that up in order to bias such a study?
Ignoring the attempt to smuggle in a bit of bias of your own with that "highly" possible, I don't see the difficulty. Apart from obtaining ethical approval, and finding willing participants, what's the problem? Apart from knowing what to look for and all the technical considerations, which I am not qualified to opine upon.
My main point is to assume bias is present in the cohort and that it’s well known in studies with Food in particular. This isn’t a reflection or judgement of any of our individual experiences just important when constructing a robust experiment to create an evidence base that has eliminated bias that may skew the results. We are all subject to bias in our everyday life...it doesn’t mean we are in any way lacking in judgement or misguided etc.
No offence meant to anyone’s n=1 experience.
as far as objective measures ...this is challenging unless you know the proposed effect you are trying to measure ...and they could be many and varied which is why it is challenging (but not impossible).
I don’t have any axe to grind on this subject...just commenting on this from a research point of view (as an ex food biochemistry researcher)
My personal view is I suspect that alcoholic beverage intolerance may be present from the patient testimonials but before hypothesising further, I would like to know what percentage of PWME vs a healthy control have this effect (E.g is this common in all people over 40?) and then probably vs other chronic illnesses to see if there are any clues as to why this may be present as a symptom.
I would like to understand if this is a downstream symptom or a hallmark of the illness and whether this is linked to severity and whether there are any symptom clusters that are present before deciding whether this is something meaningful to research further. I don’t think we can answer any of those questions as yet so designing an experiment to test the effects on PWME seems a bit premature?
Probably need some other research first to help create a working hypothesis to test later?