Beware of posts with false deadlines or expectatio
Post# of 72447
(Total Views: 270)
Posted On: 03/25/2018 12:11:49 PM
Beware of posts with false deadlines or expectations. All we know is that the Prurisol results are due in SECOND QUARTER.
Some people will claim that there is a supposed target date, which the company did NOT stipulate. Sometimes this lie is repeated so often that people start believing it. Then, when the company doesn't release data by a date that they did NOT promise, the bashers come in with FUD claiming that the company missed a deadline.
It's one thing to speculate, or fantasize about how fun it would be to see the shorts scramble with unexpected news. BUT --
the Prurisol data analysis is going to be extremely complex. Lots of patients, lots of sites, and there is a certain subjective factor in the analysis. What is that score -- is it X percent better, or Y percent?
I'm sure that some of the ill-intentioned would love to see the company rush to put out data. This has happened to other companies -- they put out data that the COMPANY (being intimately familiar with the clinical trial protocols) thought clearly showed efficacy. BUT, because they didn't explain it well, it was seized upon as an excuse to hammer the stock.
So as far as I'm concerned, I hope the company takes as much time as they need and puts data out in a way that brooks no other interpretation.
Some people will claim that there is a supposed target date, which the company did NOT stipulate. Sometimes this lie is repeated so often that people start believing it. Then, when the company doesn't release data by a date that they did NOT promise, the bashers come in with FUD claiming that the company missed a deadline.
It's one thing to speculate, or fantasize about how fun it would be to see the shorts scramble with unexpected news. BUT --
the Prurisol data analysis is going to be extremely complex. Lots of patients, lots of sites, and there is a certain subjective factor in the analysis. What is that score -- is it X percent better, or Y percent?
I'm sure that some of the ill-intentioned would love to see the company rush to put out data. This has happened to other companies -- they put out data that the COMPANY (being intimately familiar with the clinical trial protocols) thought clearly showed efficacy. BUT, because they didn't explain it well, it was seized upon as an excuse to hammer the stock.
So as far as I'm concerned, I hope the company takes as much time as they need and puts data out in a way that brooks no other interpretation.
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