Wrong. The p-value threshold is not the probability that your result is not valid. This is something learned in first year of Statistics course for any student in mathematics (I am a statistician so...I know). In these courses it's exactly presented by the professors as the fundamental fallacy in statistics.
That's the reason blind studies analyzed by real statisticians are critical to neutralize biases as much as possible, and the reason eIND studies are just storytelling by cult doctors and their patients. At some points the medical "science" has to be confirmed or rejected by unquestionable hard statistics. That's another "science", different skills, different rigor, and it often rejects the medical theories. Like it already did for the first Leronlimab COVID trial (a failure, the Leronlimab MOA didn't work as expected!).
This entire company and its drug are just a stock market fraud, as I have pored through every paper they have published, every statistic presented there and the number and depth of their defects are astounding. But that's another discussion.
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