Originally posted by Trevor Marriott
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We agree! (yes I'm back from quizz - we came 4th, so close until the last round; but I digress). And,to be clear, I fully agree with your concerns about what I presented. I hope everyone has noted that I have been clear in that the data I'm working from is not suitable. Why?
I'm using as a model of "complete rigor" times to decide if Annie Chapman, specifically, fits that model. Well, guess what, there are so many things about Annie Chapman's murder that make her unilke the data I'm using that - those conclusions are as unsafe as Dr. Phillips. I'm comparing apples with oranges.
Look, we know, low temperatures slow rigor mortis progression, and we know Chapman was not kept at the temperatures that the data set I've used would have been, so that alone should make you question the inferences I've suggested (though I warned you; I have been careful to say, a few times, this data is not a good comparison).
If the rate of rigor, and therefore the time that Annie Chapman reaches full rigor, depends upon temperature, slowing the time to full rigor, then the "time to reach full rigor" data I have won't apply, so all bets are off.
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But if murder by cut throat, etc, speeds up rigor onset, then again, the data I've used still isn't a good model for this case.
We do not know when she reached full rigor (so we are missing critical data).
We do not know if temperature (slowing rigor) or other factors (speeding up rigor) has the bigger effect in this case, so we do not know the actual expected progression (so we're also missing more critical information).
I want to restate, to make it very clear, the previous analyses are not "real", they are just "what would need to be done", if we had the information. But we're not going to find research on "death by throat cutting with disembolwed bodies partially exposed to cold temperatures", which is really what we need to do anything that won't have a margin of error so wide as to be not worth the time (unless, like me, it's worth it for the enjoyment of trying to extract something out of real data).
Change, however, one thing (believe that with Annie Chapman rigor progressed faster than in the data set I've presented), and nothing that it may appear I've suggested "works".
But I want to once again emphasize, I'm not saying the previous is "true", I'm trying to demonstrate what sort of analysis would allow us to draw inferences. But without date from cases similar to Chapman's, we can't do that.
Basically, if I came across as suggesting "this is true", shake your head, that's smoke and mirrors. What I presented only works if - all the factors that suggest rigor should progress faster are cancelled exactly by all the factors that suggest it should progress more slowly. And that situation is so unlikely that it makes my analyse nothing more than "playing", as Trevor rightly noted. I am playing, I'm not proselytizing.
However, to explain why I spent time on this, it does tell us that that rigor seems to follow a "log normal" progression over time. That gives us reason to expect that if Annie Chapman's specific case leads to a faster or slower progression of rigor, that it would still follow a log normal type of equation. I just don't know how to adjust the model to fit that, and how the model gets adjusted to fit this specific case is critical with respects of the conclusions one draws. I'm basically using a model that is based upon the idea that the factors that speed up rigor progression (which we know there are some) are pretty much cancelled by the factors that slow it down (which we also know there are some). If one side of that balance scale is greater than the other, then what I've presented is rubbish.
It's a highly qualified analysis, and I don't want anyone, on either side of the debate, to view it as anything other than that.
- Jeff
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