L
LittleSoldier
Guest
Actually, in science it is impossible to prove anything. I’m not sure that I accept that any marijuana use would reduce driving performance. That’s only because I still don’t know exactly how much marijuana would cause problems. In the research several subjects were removed because there was no measurable THC in their serum; I’m assuming they did smoke the marijuana given to them. That confuses me and I don’t know if it’s the testing methods, sloppiness, or what. I do find it hard to believe that any subject in the study would have refused free, government-supplied marijuana.I agree with much of what you have written. Proof in these types of sciences is very hard to come by. From the rest of your post, it would appear that you reasonably accept a cause/effect relationship between any marijuana use and reduced driving performance (short term effect).
Increased sample sizes tend to reduce confounding variables. For example, if I have an n of 20, the chance of an unrecognized factor being in some of them is much greater than if I have an *n *of 2000. Taking subjects randomly, if n=20, then there is a higher probability that 14 of them are male compared to a project where n=2000. If 14 subjects in my study are male how do I know if my obtained results are from whatever I am studying or from my subjects being male? It leads to more confounding factors, which is a headache for researchers. At least that is what was pounded into my brain when I was learning this stuff.Increased samples sizes only serve to further reduce uncertainty. Uncertainty is never eliminated. If you are a student of statistics, then you know that sample sizes alone do not determine uncertainty. The amount of variation in the observed results have a significant influence as well. This study was not so complete as to provide statistical uncertainties. Given all that, a reasonable person would likely conclude that; proof? no. Strong indication? yes.
I agree that uncertainty is never eliminated (I’m fighting with someone on another thread on that very issue). Never. And you are right that sample size is not the only factor. The two posts I wrote took me about two hours to write. They’re simplified because I didn’t want to spend a week or so really teasing apart all the variables. I just can’t do that anymore.
If you’re saying there’s a strong indication that ingestion of marijuana increases impairment based solely on this study, I would have to say “no.” Taking the studies I’ve read as a whole (and I’ve barely made a dent) I would say “yes.” I wouldn’t want to take the chance anyway. If no THC was found in the serum of some subjects in these studies, it’s an indication that people vary in their ability to metabolize it. I might be extra-sensitive. I would never use MM and drive. Never.
My point is that by using healthy subjects it lessens the applicability of the obtained results to those who will most likely use MM. I agree with you - patients in chronic pain are probably not driving as well as healthy individuals anyway. So it may be that the combination of their pain and ingestion of marijuana would be correlated with significantly more impairment in their driving. I haven’t read any research on this.I’m still missing your point of the health of the subjects. In most substance effect studies, poor health tends to exacerbate the substance induced effect. If you suggest that marijuana induced driving impairment would have been even more pronounced in unhealthy subjects (supposed relationship to medical marijuana use), then I would agree. But it would seem a far reach to suggest that unhealthy subjects would respond less significantly to substance effects than healthy subjects.
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