Absolutely NOT! - it is the crux of the issue. Let me explain...So you would agree it is misleading to state the "the results are from a news release" and that this was a "study" requiring peer reviews?
I consider the following news releases by the CFIA/DFO to be irresponsible, intentionally misleading, and "impossible to defend using a science-based argument":
http://www.salmonfarmers.org/no-isa-virus-found-farmed-or-wild-salmon-cfia-investigation-shows
"...Further follow up testing by the Canadian Food Inspection Agency continues to confirm that there is no Infectious Salmon Anemia (ISA) in British Columbia...."
http://blogs.vancouversun.com/2014/11/13/cfia-cant-find-salmon-virus-should-we-still-be-worried/
"...the Canadian Food Inspection Agency this week released a terse statement to the press, declaring that B.C. is entirely free of ISAv..."
The reason?: "... the restricted and problematic cell culture methodology used for "confirming" that the disease exists..."
In ADDITION - statistically and scientifically - you can't actually prove a negative. You can say you FAILED TO FIND evidence of a positive, but NOT that you "found" a negative - i.e. no ISAv in BC. CFIA has NEVER provided statistical qualifications (i.e. there is a 90% probability that the unconfirmed positives reported were actually FALSE positives). That is because they can't. They simply don't know, and hope that most of the readership misses the subtle nuances that really mean quite a difference in the science world - i.e. that there is ISAv in BC.
If you BN - or anyone else reading this post has a science background - they will recognize this as basic stats and basic science failure.
If the standard response from CFIA is that unconfirmed PCR positives are "false positives" - how do you deal with Types I and II statistical errors??: (http://en.wikipedia.org/wiki/Type_I_and_type_II_errors). Claiming that the results are a “false positive” (without any proof), and then rejecting the alternative hypothesis that there is a statistically-significant weak or unconfirmed positive – is failing to observe a difference when in truth there is one - is a classic Type II Error. Anyone familiar with the rigours of peer-reviewed science and statistics would have serious concerns over the unproven assertions in this approach – particularly when the Precautionary Approach is supposed to be used (http://en.wikipedia.org/wiki/Precautionary_approach).
That is why I stated that these press releases from CFIA are: "impossible to defend using a science-based argument"
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