Short answer first, then the reasoning. The pattern that distinguishes a bad batch from an exit is behaviour rather than product. A bad batch comes with communication, a reshipment offer and a batch number. An exit comes with slower replies, pressure toward less reversible payment methods, sudden discounting, and the same reassurance repeated without any new information. The product tells you less than the correspondence does.
Reading the retatrutide phase 2 data properly rather than the headline, and the 24% figure is doing a lot of work that the confidence interval does not support as firmly as people think.
The bit I cannot resolve on my own is why adding glucagon agonism to an anti-obesity drug is not self-defeating, given that glucagon raises blood glucose.
Numbers rather than impressions, if you have them.
pete_manc_UK said:The pattern that distinguishes a bad batch from an exit is behaviour rather than product.
pete_manc_UK has the substance of this right. The condition it depends on is worth stating. The phase 2 numbers were about 24% mean weight loss at 48 weeks on the top dose, with the curve still descending at the end of the study. A curve that has not flattened is a real finding, but it also means the true plateau is unknown, and phase 2 populations are small and selected.
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Shop Reference StandardsEndoResFellow said:Reading the retatrutide phase 2 data properly rather than the headline, and the 24% figure is doing a lot of work that the confidence interval does…
Agreed, with a caveat about community reputation: it is a lagging indicator. Reports arrive weeks after orders, so a supplier can look excellent for a month after quality has already changed.
From the other side of the consultation, briefly. The distinction that resolves most of these threads is between what is true on average and what is true for one person. Both are real; they answer different questions and get quoted as if they were the same one.