Strange Anomaly: CDC Shows Extremely Low Flu Positive Rates Despite Record Testing

Before I begin, I think we should take what the CDC gives us with a grain of salt. Organizations like this one and the WHO have not exactly been wholly trustworthy in the eyes of many for the past year or so because of their b.s. Chinese coronavirus actions, what with the WHO doing the CCP’s bidding in lying to the world about human-to-human spread of the virus and the CDC being proponents of lockdown measures which scientifically have not proven to be effective measures against the virus.

However, despite all this, we kind of have to take certain facts and figures at face value, to one extent or another, since we do not have competing organizations that can perform similar tasks.
 
Now, every week, the CDC issues a report for a variety of diseases, such as the Swine Flu, Influenza, and most recently, the Chinese coronavirus. And interestingly enough, for some time now, the CDC has recorded fewer Influenza cases than are usually around, even for this time of year.
 
In their report, the CDC splits Influenza testing into two categories: tests performed in Public Health Labs and tests performed in Clinical Labs. The tests performed in clinical labs are often substantially more than in public health labs, and the positive cases often follow suit. However, there is a strange anomaly present throughout this clinical season (which they count similar to how some sports organizations count their seasons: 2020-21). Despite the number of Influenza tests having been the most in the last five years, there are insanely low positive cases.
 
Let’s take the Public Health Labs first, to show you what I mean. The latest CDC report is for Week 51, which ended on December 19th. In Week 51 of 2015, public health labs performed 586 influenza tests with 38 positives, at a positive rate of 6.48%. Week 51 of 2016 saw 796 tests with 256 positive cases, at 32.16% positive rate. 2017, there were 1,684 tests with 831 positive cases, a 49.35% positive rate. In 2018, the number of tests went down to 824, but there were 445 positive cases, a 54.00% positive rate. And finally, in week 51 of 2019, there were 1,848 tests performed with 1,074 positive cases, a positive rate of 58.12%.
 
This means that the five-year average was 1,148 tests, 529 positive cases, and a positive rate of 46.08%.
 
For 2020, however, there were 14,174 tests and only NINE positive cases, a 0.06% positive rate.
 
Let’s now take a look at Clinical Labs tests, which do not depict a much different story.
 
I won’t go over each year for this one, since I don’t want to overload you with information, but the five-year average for tests is 22,154, with 3,750 positives, and a 14.59% positive rate. This year’s tests for Week 51 were at 21,456, which is only a little lower than average, but with 27 positive cases and a 0.13% positive rate.
 
Taking both kinds of testing together, the Week 51 five-year average is 23,302 tests with 4,278 positive cases and a 15.80% positive rate. For this year’s Week 51, however, there were 35,630 tests and only 36 positive cases, a 0.10% positive rate.
 
Here is the spreadsheet for these numbers provided by Phil Kerpen, if you want to look at all the numbers:

And it’s not like this is an anomaly that’s exclusive to Week 51. Taking weeks 40 to 51 for this season in comparison to other seasons, we also see a massive anomaly.
 
For those 12 weeks, the five-year average number of tests for public health labs is 16,614, with 4,967 positive cases and a 29.89% positive rate. For this season’s Weeks 40 to 51, public health labs have performed 196,992 tests and came across only 135 positive cases, for a 0.07% positive rate. Clinical Labs are fairly similar, as their five-year average for those weeks is 250,525 total tests, 15,135 positive cases and a 5.39% positive rate. This year’s clinical labs tests were 319,985, with only 720 positive cases and a 0.23% positive rate.
 
So the total for those two tests, in a five-year average, is 267,140 tests, 20,101 positive cases and a positive rate of 6.77%. But for this season’s weeks, there were a staggering 516,977 tests, but only 855 positive cases, a 0.17% positive rate.
 
Here is Phil’s spreadsheet for Weeks 40 to 51:

​The million-dollar question here is why we are seeing these numbers. It’s easy to say that testing for the Chinese coronavirus is the reason we are seeing “fewer” flu cases, and that very well could be the case, but it’s not like these people aren’t testing for non-COVID things. Like I just said, they are testing at record levels, so the reason we are seeing these numbers isn’t because they aren’t testing for these diseases. So, then, I kind of have to question the tests themselves.
 
You see, as a result of numerous states counting Chinese coronavirus deaths by tallying very clearly non-COVID-related deaths like gunshot wounds or falling off of tall structures, I have had far less trust in the way in which “experts” and “scientists” run their numbers. That a member of the Austrian parliament managed to test a glass of Coca-Cola and find that the popular drink tested POSITIVE for the Chinese coronavirus also leads me to question the accuracy of medical tests.
 
Now, that Austrian MP did that to show how worthless the mass PCR test is, not to generally show that medical tests are sketchy, but that any test can be sketchy should bring questions to people’s minds.
 
Seeing as there were far more positive cases in years prior as opposed to this one, despite the number of tests performed, I can’t help but put into question how trustworthy these tests are. If they are the same tests as previous years, then that leads me to the following question: did these scientists produce fake positives in the previous years, or are they producing fake negatives now? Because if they are the same test, with the same accuracy as years prior, then something has to give.
 
You cannot reasonably have the exact same tests as the ones performed in years prior, perform more tests than ever before, and somehow find far fewer positive cases than ever before. Week 51 saw fewer total positive cases than the Public Health Labs did in Week 51 of 2015, with roughly 60x the amount of tests performed.
 
So either something in the tests changed (they very well could be different tests entirely, but if that’s the case, the CDC should look into that and why they are producing these numbers) or the scientists have some sort of motive for producing these results.
 
Now, that goes more into conspiracy territory, and without evidence of such motive, I cannot say that that’s what is the truth concerning this situation, but I don’t exactly trust these scientists and “experts”. Matter of fact, the only reason I don’t trust the tests is because of the people running them in the first place. Like guns don’t kill people, tests don’t test people – people kill people and people test people. A test is merely the tool through which the doctors and scientists examine subjects. They have the ability to manipulate tests and data, and may do so if provided with a reason.
 
And considering how much the Left has bastardized science and profit off of the Chinese coronavirus, I wouldn’t be surprised if these numbers are a result of that malevolent intent at fear-spreading and power-grabbing. I’m not saying that that’s definitely and absolutely the case, but one cannot realistically rule that possibility out. There are a lot of people out there in places of power and authority who are evil and will do whatever they can to achieve their goals. We have already seen the spread of their influence in even places like the sciences, so this is not as wild of an assumption to make as it may have been in decades prior.
 
I don’t know exactly why the CDC is seeing the numbers that they are reporting (and take into consideration that I have to take what they give me at face value, even while I don’t want to), and it’s possible, even likely, that I never will know, but I can’t help but assume the worst in these people.
 
One thing is for certain: you cannot say that these people (so-called “scientists”, not just the CDC) don’t have an agenda. They have shown this time and time again for years now, and in particular this past year.
 
2 Timothy 3:5
“Having the appearance of godliness, but denying its power. Avoid such people.”