Incidentally, it appears to me that in respect to T(lag) times, some people are having a very hard time understanding the meaning of the term "average". They seem not to understand that there is a deviation on either side of the average, which can either be expressed in terms of standard deviations away from the mean or percentiles away from the mean (in both cases, this defines the slope of the deviation either side of the average).
I think it's worth bringing up the height analogy again, since most people can find this intuitively easier to understand. Suppose that the average adult male height in a given population is 5ft10, that the 75th percentile is at 6ft1, the 95th percentile is at 6ft4 and the 99.5th percentile is at 6ft8.
Supposing that the police knew (somehow) that a crime had been committed by an adult male who was at least 6ft5 tall. This is analogous to knowing that Meredith was still alive some 150 minutes after starting her pizza meal.
Now, knowing the probability distribution curve for adult male height, we can say with a high degree of confidence that if the criminal was over 6ft5 tall, then he was very likely to be something between 6ft5 and 6ft8 tall (and, in fact, most likely to be either 6ft6 or 6ft7). There is a very, very small possibility that he was over 6ft8 tall, and a virtual certainty that he was not over 7ft2 tall (since there are only a handful of people in the entire world who are that height).
This is all analogous to the situation with Meredith's stomach contents and her time of death. Just as there are plenty of adult males above the average of 5ft10, and there are quite a few above 6ft5, so there are plenty of people with T(lag) times above 82 minutes, and quite a few above 150 minutes. But, similarly, just as there are only a tiny, tiny number of adult males over the height of 7ft2, so there are a tiny, tiny number of people with T(lag) of over 240 minutes.
I don't understand how it can be so hard to understand how things like height and T(lag) time differ either side of the average in a bell curve fashion, such that a small deviation from the mean is very likely, but a large deviation from the mean is virtually impossible. When I see things written such as "well, if the average T(lag) is 82 minutes, then if people say that 150-170 minutes is possible, why not 180 minutes. And if 180 minutes, why not 200 minutes, or 300 minutes, or 400 minutes", I am astonished and saddened. This - to me - shows a complete lack of understanding of basic statistical analysis.
And, i repeat, if anyone can find a credible scientific or medical source which has found a moderate-sized mixed-ingredient meal to be still completely present in a healthy adult stomach over five hours after ingestion, then I will be amazed and impressed. I can't help thinking that some people have been spending quite a lot of time and effort trying to find such evidence, but I think they will be looking for a very, very long time......