Slightly off topic here… I have a common cold today… and yet another negative test in my now long history of getting tested….
but the reason i have this cold is because a moron with a cold felt the need to come to work and pronounce that it isn’t covid so it in his mind was fine…
look I don’t care if you took all the vaccines and have twenty negative tests… if you are ******* sick stay the **** home… I don’t care if its covid, the flu, a cold, or Ebola…unless it’s going to get medical treatment, dont go out when you are sick… period…
i was hoping that would be one positive from all this… that people learn that lesson, but nope… still idiots…
if i owned a company that offered sick days and someone still came to work sick, id send them home and warn them the next time they are fired…
sorry, pet peeve.., I hate being annoyingly ill…
The CDC - not you, not me, the CDC - concluded, "“The 21% lower incidence in schools that required mask use among students
was not statistically significant compared with schools where mask use was optional,” the CDC
said. The term "not statistically significant" means the difference cannot be attributed to masks, as opposed to seating in the schools, or exposure at home, or any other of a dozen variables that could completely change the outcome.
ok so again with the statistics lesson for everyone…
every single damn time I submit data to the EPA it has to come woth a calculated error percentage and relative accuracy… depending on the methos, standards, and biases, meaningful accuracy of data can vary greatly
thats why regulations always have a plus minus criteria data has to fall under…
so for instance if tge standards you are calibrating against have a plus minus criteria of 2% of the certified value and the quality control tests have a 2% criteria your data could be 4% off and totally acceptable… throw in how big the data pull is and how sensitive the testing methods are and what biases exist and sometimes the best you can hope for is to be within 20% … like seriously go read some regularity code… lots of pass fail criteria is at 20% because of those reasons… meaningful deviation has to be substantial
with the positive biased testing we perform for covid, and the vast amount of people not tested, the plus minus on meaningful data is probably pretty vast.. they don’t publish it as often as they should… the accuracy should be a staple lead in to everything to keep it in perspective….
straight Percentages can be very misleading if taken out of context