Stanford study: facemasks don’t work


The existing scientific evidences challenge the safety and efficacy of wearing facemask as preventive intervention for COVID-19. The data suggest that both medical and non-medical facemasks are ineffective to block human-to-human transmission of viral and infectious disease such SARS-CoV-2 and COVID-19, supporting against the usage of facemasks. Wearing facemasks has been demonstrated to have substantial adverse physiological and psychological effects. These include hypoxia, hypercapnia, shortness of breath, increased acidity and toxicity, activation of fear and stress response, rise in stress hormones, immunosuppression, fatigue, headaches, decline in cognitive performance, predisposition for viral and infectious illnesses, chronic stress, anxiety and depression. Long-term consequences of wearing facemask can cause health deterioration, developing and progression of chronic diseases and premature death. Governments, policy makers and health organizations should utilize prosper and scientific evidence-based approach with respect to wearing facemasks, when the latter is considered as preventive intervention for public health.

Facemasks in the COVID-19 era: A health hypothesis

“There isn’t enough money in America… I’ll take a bullet to the head. And, maybe that’s what’s waiting for me.” Jovan Pulitzer on why he won’t walk away from ballot audit

During a recent interview, Pulitzer said he was offered $10 million to drop his audit of 2020 election ballots.

Considering the power and money at stake, the $10 million bribe is most credible. The full interview can be found here: The Professor’s Record.. Or here:

Could mRNA vaccines alter DNA? Harvard scientist says it’s possible

Research on SARS-CoV-2 RNA by scientists at Harvard and MIT has implications for how mRNA vaccines could permanently alter genomic DNA, according to Doug Corrigan, Ph.D., a biochemist-molecular biologist who says more research is needed.

…The preliminary evidence cited by the Harvard-MIT researchers indicates that endogenous reverse transcriptase enzymes may facilitate reverse transcription of coronavirus RNAs and trigger their integration into the human genome.

The authors suggest that while the clinical consequences require further study, detrimental effects are a distinct possibility and — depending on the integrated viral fragments’ “insertion sites in the human genome” and an individual’s underlying health status — could include “a more severe immune response … such as a ‘cytokine storm’ or auto-immune reactions.”

In 2012, a study suggested that viral genome integration could “lead to drastic consequences for the host cell, including gene disruption, insertional mutagenesis and cell death.”

Could mRNA Vaccines Permanently Alter DNA? Recent Science Suggests They Might.

Biggest cyber crime in world history?

Mike Lindell’s new video is here. He has a world renown physicist/mathematician, who pulled all the data on total population from the census, voter registration, and votes cast, county by county, and graphed it all vs age in every county. First he shows voter registration and turnout was ridiculously high. Then he shows every dip on each graph matches perfectly, which implies rather than different groups having different turnouts randomly, as should be expected (did 90 year olds vote at the same percentage as 18 year olds, or 30 year olds?), somebody took total population at each age, and said registered voters would be one percentage at each age, and votes cast would be another percentage at each age, so every dip on each graph lines up perfectly. He then explains as a result, in every county, the percentage of 70 year olds, for example, was always the exact same percentage number in every county, and that was true for every age group in every single county, which could only happen if a computer churned out the numbers artificially according to a simple instruction. He then shows he can predict every county’s registered voters, and actual votes cast in each age group, in Ohio perfectly, using a specific mathematical formula (a sixth order polynomial algorythm), which assigns the percentages to each age group. So one equation, and it allows him to predict the registered voters, and the votes cast in every age group in every county, just by plugging the numbers in. So there was no randomness like you would expect naturally – it was all precalculated by computer. This implies, they may not have even begun with the votes cast, and swapped votes randomly as they went to alter the outcome. Rather, they sat down before the election and used a prediction of turnout and results by polling, and a mathematic equation, programmed into a computer which took the results as they happened and changed them. It simply produced the results we were to be given, which had been set by the elites before the election even began. The vote-swapping was the computers trying to adjust the live turnout to massage it into the precalculated results, as we watched.  Even crazier, is this would mean even down ticket races would have been affected by this, from House, to Governor, to state representative. So it is possible before the election, every single election outcome was pre-determined, and election night was about taking the live vote, as it happened, and having computers re-hash it piece by piece, minute by minute, into the final tally, which was set before the vote. But Trump got so many more votes than they predicted, the computer could not change the vote with the pre-set “adjustment equation,” which was only designed to flip an election where Trump won fewer votes. So they had to stop everything for three hours, and reset how Trump’s numbers would be massaged, to make him lose. Which is why Biden had to get more votes than any candidate in history by a massive margin, despite the fact nobody liked him, he never campaigned, and when he did nobody showed up. It is pretty shocking to see every graph line up perfectly, with no randomness to anything. It means as bad as we thought it was, it was even worse. Every election was likely rigged to install their asset.

link to original

Related: Election Fraud Hotspots – 10% of the Data are 70% of the Fraud

Video: Ga. counties fail to provide required chain of custody records for 400K mail-in ballots

Happy Easter to All

mind only, logos, God, moral imperative, logical imperative, God’s will, karma, shila, prajna, Tathagata, conscience (not mine but logos itself), logic, reason, truth, reality, sacred, enlightened, ultimate reality, dhyana, samadhi, satori, science, mathematics

what these words have in common is they all mean the same thing

is there moral imperative? yes, see above

Happy Easter to All

Wide-ranging interview with Dr Mike Yeadon on vaccine safety

…I have absolutely no doubt that we are in the presence of evil (not a determination I’ve ever made before in a 40-year research career) and dangerous products.

“In the U.K., it’s abundantly clear that the authorities are bent on a course which will result in administering ‘vaccines’ to as many of the population as they can. This is madness, because even if these agents were legitimate, protection is needed only by those at notably elevated risk of death from the virus. In those people, there might even be an argument that the risks are worth bearing. And there definitely are risks which are what I call ‘mechanistic’: inbuilt in the way they work.

“But all the other people, those in good health and younger than 60 years, perhaps a little older, they don’t perish from the virus. In this large group, it’s wholly unethical to administer something novel and for which the potential for unwanted effects after a few months is completely uncharacterized.

“In no other era would it be wise to do what is stated as the intention.

“Since I know this with certainty, and I know those driving it know this too, we have to enquire: What is their motive?

Exclusive: Former Pfizer VP to AFLDS: ‘Entirely possible this will be used for massive-scale depopulation’

Scientists create artificial cell: “Our goal is to know the function of every gene so we can develop a complete model of how a cell works”

In a new first for genetic engineering, scientists have developed a single-celled synthetic organism that grows and divides much like a normal cell, mimicking aspects of the cell division cycle that underlies and generates healthy living cellular life.

The achievement, demonstrated in an engineered unicellular bacteria-like life form called JCVI-syn3A, is the result of decades of genomic sequencing and analysis by scientists, exploring the roles individual genes play inside living creatures.

“Our goal is to know the function of every gene so we can develop a complete model of how a cell works,” says biophysicist James Pelletier from MIT and the National Institute of Standards and Technology (NIST).

Scientists Built an Artificial Cell That Grows And Divides Like a Natural One