a reply to:
infolurker
Yeah they're junk.
I've been reviewing a fair number of studies since they started ramping up and there are several things that are present to shocking degrees in many
that have conclusions very favorable toward any of the government and pharma narratives. Not surprisingly it's prominent in virtually all the studies
that make claims that seem to contradict what many of us have already seen firsthand in data.
They are funded by sources affiliated with officials that have openly lied, like the CDC or NIH. The WHO or Gates Foundation, or the
beneficiaries of their funds, have also shown to have a keen interest in specific results rather than objective reality. In one case between the start
of the study an publication an author became employed by Moderna and several other has biotech company affiliations. Ten years ago this may not have
been something to immediately cause a red flag. Now that leaders of these agencies have made sweeping generalizations and supported the silencing of
valid questions and all criticism, it's an immediate red flag. When the government boards start threatening licenses and highly qualified experts are
called domestic threats the writing is on the wall that science can't contradict those who pay for it or sign the paychecks.
They have junk methodology. They use either restrictive criteria excluding known factors that would be likely to run counter to their desired
result or use small sample sizes that don't support any degree of certainty. They use aggregate data that includes large populations without any
reasonable expectation of the studies outcome or unreason let high expectations above baselines.
They do not explain how dramatically their case criteria might impact the certainty. This is quite prevalent in excluding vaccination under 14
or sometimes under 28 days. This without any study to determine the validity that vaccination may result in positive tests and actually trigger COVID
related deaths or adverse events. Dying of COVID 10 days after vaccination shouldn't be blindly counted as an unvaccinated death with more than either
including a side sr analysis or much more justification than "that's how it's always done". This is oarticutimpoetsnt because mRNA specifically
doesn't have decades of underlying justification for methodologies. To use old standards after fundamentally changing the definition of vaccine is
unscrupulous.
They use underlying demographic dynamics that skew results, but that evade detection from a casual reader. In one particular study on efficacy
the numbers of participants in the target groups under 30 and over 50 were disproportionate versus the control in a way favorable to the outcome they
wanted. When you have a large sample size of those at low risk due to known demographic disparity it should be stated transparently that it reduces
the validity, or whatever the case is. They also use demographic clustering to show results that support the fits their desired conclusion. When
citing deaths they may cluster a huge number of typically stratified demographics to inflate the the totals or conversely break down demographics
nonsensically to make prevalence seem less severe. When they do these kinds of things and fail to mention it as a confounding factor is shows either
incompetence or a willful attempt to deceive.
They cite other work for discussion that show only low certainty or marginal effect. That get around this by using words like "suggest" or "may
indicate" and only by reviewing the studies that their discussion is based on can you start to see the leaning tower of tripe they've built. Imagine
this extended our over two years of rushed studies each building on the others with bias toward desired outcomes. Many of the CDC studies, when
followed back through the studies they're based on, start to look like a twisted game of telephone where the message is radically different as
interpreted three studies down the line.
They make claims in their conclusions that are far outside the scope of their study. I see it constantly that a study on a single well defined
thing, like incidence of myocarditis, has a conclusion that makes broad statements about how it impacts things like risk/benefit. In the case of
myocarditis they make claims that it still out weights the risk of serious illness from COVID. While incorporating the full suite of COVID risks
irrespective of incidence or based on equally biased studies, they do not account for the full suite of reported adverse vaccine effects. There are
many adverse events flagged at a much higher rate than myocarditis, it just happens to be the one causing dramatic incidents of public collapse. This
kind of dissimilar comparison and the addition of conclusions not even within the scope of the study show a bias and is a red flag. My college
professors would have rejected this kind of science voodoo and forced you to edit it to fit within the scope, but it appears to be acceptable at
doctoral levels in academia and meet national government standards.
That's a little of what I've observed in my perusal of numberous studies across a number of COVID topics. There is also the selective criteria for
when a preprint is acceptable to "The Science" and isn't, which is entirely dependent on if it supports the paid narrative versus if it shows they may
be wrong. This also has impacts for the media presentation. By using quotes from conclusions outside the scope of the study they give the impression
that these claims are "settled science". Any author providing these convenient and ethically dubious comments for media to parrot should be viewed
with extra skepticism.
Anybody that trusts a study without looking at it has no certainty. If anybody trusts that some person at one of the 6 companies that script all the
many hundreds of media sources, that are paid to promote certain narratives, will give you objective science is even less certain. Those that base
their entire belief system entirely on these things cannot it be taken seriously and they are seriously misinformed.
Edited, serious error in post display.
edit on 1/5/23 by Ksihkehe because: wtf happened
edit on 1/5/23 by Ksihkehe because: Ah,
the "less than" symbol truncates the post, fixed it.
edit on 1/5/23 by Ksihkehe because: (no reason given)
edit on
1/5/23 by Ksihkehe because: Added bold for emphasis of key irregularities.