Voice To Skull / Voice Of God
War Tech Goes Mainstream

Futuristic device from Israeli puts music in your head, without headphones

Sound beaming’ 3-D technology from Noveto Systems tracks ear and sends it audio using ultrasonic waves, personal

STUDY FROM 1991 MAY HAVE FOUND ROOT CAUSE OF TRANSGENDER DISORDER

Overbearing Liberal Mothers with psychological disorders

boys who identified as girls, 53% of their mothers had Borderline Personality Disorders
Boys who knew they were boys it was only

THE BIRTH OF THE FAKE NEWS

The event was the First Imperial Press Conference, 1909 in Shepherd’s Bush, Crystal City, London.

Free pdf

Jim Traficant US Bankruptcy FDR sold USA to the UN International Bankers IMF-

FDR was a Traitor who gave our Sovereignty to United Nations Banksters IMF under The Federal Reserve Act

Dissolving American Sovereignty and our Constitutional

Special Report: Manipulating America—The Chinese Communist Playbook

There is an invisible war raging in the world. Not a war fought with bullets and guns, but a war of bribery, manipulation & propaganda, fought against the free world with their full

FALL CABAL PART 1
This is the original series that grew into legend

Part 1 of a 10-parts series about the Fall of the Cabal by Janet Ossebaard https://t.co/Z0ItiE4JKv via @BitChute

🤫

Extremely excited today to reveal the first of two great works (magnus opera?), just posted on bioarxiv, applying regulatory network analysis techniques to PDAC expression data to dissect the underlying biology of the disease. Tweetorial time! 1/

Eight years ago I launched an enduring collaboration with Andrea Califano @ColumbiaCancer to apply his regulatory network analysis techniques to #pancreaticcancer. So many amazing scientists have contributed to this work: @paslaise @hc_maurer @AlvaroCurielGa1 @ElyadaEla 2/

What is “regulatory network analysis”? At it's heart, it's a way of extracting more useful information from expression profiles. A fundamental flaw of differential gene expression (DGE) analysis is the assumption that each gene is independent. Biologist KNOW this is not true! 3/

DGE treats all ~25K detectable genes as SEPARATE variables, performs 25K T-tests, and then slaps on a multiple hypothesis correction to make the statisticians less dyspeptic. There is no consideration of the relationships between genes! 4/

Yet we KNOW genes are co-regulated in SETS by transcription factors and other REGULATORY FACTORS. Biologist: “p21 is a target of p53”. DGE: “Shhhh”. These relationships are completely ignored by expression analysis. THIS IS A TRAVESTY! 5/

When respected Scientists resign over the false narrative... Take notice... and thank them.

Google Translated Letter from

Prof. Dr. Thomas Aigner,
Department of Geosciences,
University of Tuebingen, Sigwartstrasse 10,
D-72076 Tuebingen Germany

Dear colleagues,
It was with the greatest astonishment, deepest concern, and indeed bewilderment, that I took note of the "7th ad hoc statement" from the National Academy of Sciences Leopoldina on December 8th, 2020.
In my opinion, this paper is not worthy of an honest, critical-

weighing science oriented towards the service and well-being of man. I do not have any medical expertise. However, as a scientist committed to nothing but the pure truth, I take the liberty of speaking up. I feel very alarmed by several points:

1. On November 27, 2020, a group of 22 internationally recognized experts presented the following report on the PCR test, the linchpin of the "pandemic", for the Eurosurveillance magazine:

"External peer review of the RTPCR test to detect SARS-CoV-2 reveals 10 major scientific flaws at the molecular and methodological level: consequences for false positive results". Quote: "This highly questions the scientific validity of the test".

Azar just released a delusional, alternative history of Covid testing in the US. I’m mad because our testing failures allowed this outbreak to blow-up. We can’t fix our system if we ignore where it is broken. I suspect @PublicHealth agrees.

My fact-check on remarks @HHSGov 🧵

“It is indisputable that the United States has built the most extensive testing system and strategy of any major country,” says Azar.

False. Several countries have had percent positivity ~1% whereas US has never been below 5% and is >10% today. Refs KCDC & USA @JohnsHopkins

"The federal government got out of the way of test development in safe and sensible ways,” says Azar.

False. In Feb, CDC & FDA blocked labs from testing as the disease spread exponentially. I broke this story👇🏼& wrote more like it as the year wore on.

Azar defends questions about why the CDC refused an early German test vetted & distributed by WHO, by saying it was ‘unapproved’ & beneath us.

False. Top US researchers in my stories vetted several tests as early as Feb,& found that the one recommended by WHO was ideal.

Azar refuses to concede that other countries handled Covid better. He attributes Koreas success to less travel, invasiveness & private sector.

False. Korea's gov't marshaled the private sector & tracing success was largely from hiring tons of tracers.

@engexplain @nntaleb 1/10
Science is assumed to be “evidence-based” but that term alone doesn’t mean much. What constitutes good evidence? How is evidence being used? Is it supporting or refuting a hypothesis? Was the hypothesis and experimental design predetermined or found ex post facto?

@nntaleb 2/10
The reality is you can find “evidence” for almost any narrative. Limit the sample size, cherry-pick studies, etc. Systematic reviews, meta analyses, and randomized controlled trials are all susceptible to selective interpretation/narrative fallacy.

@nntaleb 3/10
At the heart of the problem is the over-reliance on simplistic statistical techniques that do little more than quantify 2 things moving together.

@nntaleb 4/10
Take Pearson’s correlation, based on covariance. Variation can increase simultaneously across 2 variables for countless reasons, most of which are spurious. Yet this simple notion of “causality” undergirds much of scientific literature.

@nntaleb 5/10
Information-theoretic (entropy based) approaches on the other hand can assess *general* measures of dependence. Rather than some specialized (linear) view based on concurrent variation, entropy encompasses the amount of information contained in and between variables.