Increasingly difficult to break through to many patients skeptical of recommendations seen coming from the medical establishment or through the mainstream media 🧵
Why is there a growing segment of the population that doesn’t believe experts/media ? Let’s start with a tragic non-med story of the last week.

Here’s the @AP account on a drone attack & what comes to light after someone actually investigates.

Everyone now knows about the fake ivermectin overdoses flooding ER story.

Journalists clearly know the headlines their audience will lap up — almost anything that will paint the half of the country that didn’t vote with them in a bad light will do
Imagine the fact checking that would take place if someone reported vaccine adverse events were flooding phone lines / ERs.

Yet the @AP rushes out an alarming
Amazing thread here on the massive # of outlets and truth warriors that ran with the ivermectin story
Sturgis, anti-lockdown protestors, college football crowds are super spreaders, but riots for social justice, lollapalooza never are

(Read about the ‘data’ on Sturgis here : thehealthcareblog.com/blog/2020/10/2… )
‘Experts’ almost canceled college football for Fall 2020 mostly driven by hyperventilating media outlets. Thanks to @MJAckermanMDPhD & other ‘contrarians’ CFB went on. There was no tsunami of COVID myocarditis and it was always incredibly unlikely : medscape.com/viewarticle/93…
In 2020, you couldn’t trust the federal govt. If they rolled out a vaccine.

A who’s who of medical elite wrote a letter to Pfizer demanding a delay Of the vaccine until after the election..
In March 2020, the theory a virus may have leaked from a Chinese lab funded by the United States was called a conspiracy.. a lancet letter attested to it.. and if you mentioned the possibility At the time.. you were probably a bigot..

There is precious little trust in the ‘accomplished’ class or the politically aligned journalist class that regurgitates whatever confirms their biases.

The intellectual class has only themselves to blame for their growing irrelevance.

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More from @anish_koka

19 Jun
Great 🧵 on recent neuro-COVID paper making the rounds.

1. Nothing in the paper speaks to the veracity of CSF/grey matter volumes derived by T1/T2. (This is most definitely not like measuring the size of the aorta over time)
2. Whatever measure they do derive overlaps w controls a lot when looking at the box/scatter plot. While we use criteria with this type of poor discrimination not infrequently, we would seldom make a therapeutic decision with a diagnostic test with this much overlap with normal
3. These findings are derived based on defining regions of interest (ROI) in the brain. Anyone that’s done this in the heart to define EF, or in MUGA studies knows how fraught that is.. so would want a core lab, multiple interpreters b4 calling a real difference ..
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