Once Again Independent Research Shows Similarity Of COVID to HIV

The theory that China obtained the coronavirus via a Canadian research program, and started molding it into a bioweapon at the Institute of Virology in Wuhan before it somehow escaped could be an attempt by the establishment (the Davosocracy,) to spread fear and panic as they see resurgent nationalism across the developed world and growing scepticism about the Greta Thunberg fronted campaign to reignite fear and panic about runaway climate change causing millions of deaths and widespread destruction. Establishment controlled news media such as The New York Times, The Guardian, CNN and the BBC have dismissed the claim as ‘fake news’, though the story was widely shared across independent-leaning media.

According to the weaponised virus theory the virus, which was developed by infectious disease experts may have originated in the Wuhan-based lab of Dr. Peng Zhou, China’s leading researcher on bat immune systems (whoda though there were actually people out there making a living from researching the immunse systems of bats?) who has been studying in what ways the flying rodents’ immune systems respond to the presence of destructive viruses. The theory suggests that eith by accident or design the virus was carried out of the lab, and somehow ended up in animals and fish on stalls in the Wuhan wet market. Claims that the market is where the virus supposedly originated by jumping species from bats being sold for food to other species have been dismissed as a conspiracy theory.

Now, a respected researcher, Dr Prashant Pradhan, is leading a team looking into how epidemics spread, and who recently came in for a lot of criticism by tweeting that the virus appeared to be much more contagious than was originally thought, is pointing out that anomalies in SARS – CoV2 virus’s genome suggest it may be a genetically engineered organism for use as a biological weapon.

Specific inserts in the 2019-nCoV spike protein to HIV-1 gp120 have rendered Indian researchers baffled by parts of the virus’s RNA that bear no relation to other coronaviruses strains like SARS, and instead appear to be closer to HIV. The virus has even been shown to be susceptible to HIV medications.

A link to the full paper (.pdf) is provided below, like most scientific papers it is heavy going for the lay person, but those with the patience to read it will find the first part focuses on the unique nature of 2019-nCoV, and observes that four amino acid sequences in the Wuhan Coronavirus are homologous to amino acid sequences in HIV1.

Why do the authors think the virus may be man-made? Because, they say, when looking at the above insertions which are not present in any of the closest coronavirus families, “it is quite unlikely for a virus to have acquired such unique insertions naturally in a short duration of time.” Instead, they can be found in cell identification and membrane binding proteins located in the HIV genome.

READ THE FULL REPORT in .pdf format

For other readers, here are a few key points from the:

… To further investigate if these inserts are present in any other corona virus, we performed a multiple sequence alignment of the spike glycoprotein amino acid sequences of all available coronaviruses (n=55) [refer Table S.File1] in NCBI refseq (ncbi.nlm.nih.gov) this includes one sequence of 2019-nCoV[Fig.S1]. We found that these 4 insertions [inserts 1, 2, 3 and 4] are unique to 2019-nCoV and are not present in other coronaviruses analyzed. Another group from China had documented three insertions comparing fewer spike glycoprotein sequences of coronaviruses .

We then translated the aligned genome and found that these inserts are present in all Wuhan 2019-nCoV viruses except the 2019-nCoV virus of Bat as a host [Fig.S4]. Intrigued by the 4 highly conserved inserts unique to 2019-nCoV we wanted to understand their origin. For this purpose, we used the 2019-nCoV local alignment with each insert as query against all virus genomes and considered hits with 100% sequence coverage.

Surprisingly, each of the four inserts aligned with short segments of the Human immunodeficiency Virus-1 (HIV-1) proteins. The amino acid positions of the inserts in 2019-nCoV and the corresponding residues in HIV-1 gp120 and HIV-1 Gag are shown in Table 1.

When looking at the above insertions which are not present in any of the closest coronavirus families, “it is quite unlikely for a virus to have acquired such unique insertions naturally in a short duration of time.” Instead, they can be found in cell identification and membrane binding proteins located in the HIV genome.

Since the S protein of 2019-nCoV shares closest ancestry with SARS GZ02, the sequence coding for spike proteins of these two viruses were compared using MultiAlin software. We found four new insertions in the protein of 2019-nCoV- “GTNGTKR” (IS1), “HKNNKS” (IS2), “GDSSSG” (IS3) and “QTNSPRRA” (IS4) (Figure 2). To our surprise, these sequence insertions were not only absent in S protein of SARS but were also not observed in any other member of the Coronaviridae family (Supplementary figure). This is startling as it is quite unlikely for a virus to have acquired such unique insertions naturally in a short duration of time.

The insertions were observed to be present in all the genomic sequences of 2019-nCoV virus available from the recent clinical isolates. To know the source of these insertions in 2019-nCoV a local alignment was done with BLASTp using these insertions as query with all virus genome. Unexpectedly, all the insertions got aligned with Human immunodeficiency Virus-1 (HIV-1). Further analysis revealed that aligned sequences of HIV-1 with 2019-nCoV were derived from surface glycoprotein gp120 (amino acid sequence positions: 404-409, 462-467, 136-150) and from Gag protein (366-384 amino acid) (Table 1). Gag protein of HIV is involved in host membrane binding, packaging of the virus and for the formation of virus-like particles. Gp120 plays crucial role in recognizing the host cell by binding to the primary receptor CD4.This binding induces structural rearrangements in GP120, creating a high affinity binding site for a chemokine co-receptor like CXCR4 and/or CCR5.

We are not qualified to comment on the quality of this work beyond saying that evidence is stacking up that points to there being something extremely dodgy about the origins of the coronavirus currently running wild in China. Because us old farts have surprisingly good memories we are reminded of the Ebola outbreak in west Africa a few years ago, which again was reported to be a previously unknown strain of the virus, much more infectious than those identified in previous outbreaks.

More Evidence Deadly Ebola Strain Was Created By US Biological Weapons Research Scientists

from Russ Winter

‘I presented the case for the Kemena bio-lab as the source of spreading the Ebola outbreak in Saturday’s post, and I had to circle back and debunk the debunkers. It states on the hospital consortium’s own website that it is involved in research on lethal diseases at Kenema.

Indeed, starting in January, the consortium running the Kenema lab inked a $140 million deal with Department of Defense and a pharma company called Tekmira to conduct Phase I Ebola vaccine trails at Kenema on humans [see “Tekmira Doses First Subject in Human Clinical Trial of TKM-Ebola” press release].

The information provided begs the question: Where did they get the human subjects? There was no outbreak as of the end of March in Sierra Leone. Seems the DoD/pharma goon squads were recruiting Ebola trial participants from nearby Guinea, where there was a small outbreak underway.’

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Covid virus tests useless

As the Coronavirus rolls on with every trumpeted breakthrough fizzling out into a great big nothing, political leaders and media ‘influencers’ keep telling us we must follow the science. Yet with so much contradictory and conflicting evidence, perhaps it’s time we learned that “following the science” is the worst thing we can do? The Daily Stirrer has been telling you since the start of the farrago that scientist is a synonym of wanker,

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COVID19 PCR Tests are Scientifically Meaningless

Politicians and “experts” scream and shout about testing and isolation being the way to halt the COVID 19 pandemic to a halt, but everything else they hsve told us about the disease has been absolute bollocks, why should this be any different?

Well surprise, surprise, it isn’t any different. The idear that testing everybody ten times a day (OK I might be exaggerating for effect,) will do any good is just another diversionary tactic designed to distract us from the sure and certain knowledge that the establishment, i.e. is the politicians, the academic community and the medical professions haven’t a clue how to deal with this disease. However in saying that we are allowing that COVID 19 coronavirus actually exists though that is nor proven. For a pathogen to be recognised as the cause of a disease it must meet all of a set of croteria known as The Koch Postulates. Covid 19 or The Wuhan Virus actually meets none.

And to top that of the tests being used to identify who is infected have been shown by independent (i.e. not funded by governments, Big Pharma corporations or The United Nations,) to be not fit for purpose.

At the media briefing on COVID-19 on March 16, 2020, World Health Organisation (WHO) Director General Dr Tedros Adhanom Ghebreyesus said:

“We have a simple message for all countries: test, test, test.”

The message was spread through headlines around the world, for instance by CNN,  Reuters and the BBC’s news channel Germany’s  heute journal — one of the most important news magazines on German television— was still repeating the mantra of the corona dogma on to its audience with the admonishing words:

Test, test, test—that is the credo at the moment, and it is the only way to really understand how much the coronavirus is spreading.”

This indicates that belief in the validity of the PCR tests is so strong that it equals a religious dogma that tolerates virtually no contradiction. But religions are about faith and not demonstrable facts. Were we still under the rile of The Holy Roman Empire, heretics who questioned this narrative would be tortured and burned.

It is certainly significant that Kary Mullis, inventor of the Polymerase Chain Reaction (PCR) technology was one of the vioces dissenting from that dogma before his recent death (which was not connected to COVID – 19 we understand.) His invention got him the Nobel prize in chemistry in 1993.

But while the WHO and other health bureaucracies are hailing PCR as the saviour of humankind, the eminent biochemist himself regarded his invention the PCR as an inappropriate tool for detecting a viral infection.

This inconvenient fact was reported by the Bulgarian Pathology Association in an article titled COVID – 19 PCR Tests Are Scientifically Meaningless, which has been widely shared and reshared around the web.

The intended use of the PCR was, and still is, to apply it as a manufacturing technique, being able to replicate DNA sequences millions and billions of times, and not as a diagnostic tool to detect viruses.

Gina Kolata in a 2007 New York Times article Faith in Quick Test Leads to Epidemic That Wasn’t describes declaring pandemics on the basis of PCR tests as bad science.

It is also worth mentioning that PCR tests used to identify so-called COVID-19 patients presumably infected by what is called SARS-CoV-2 are unreliable because the results show the infection does not meet any of the Koch postulates (sic).

This is a fundamental point. Tests need to be evaluated to determine their preciseness — strictly speaking their “sensitivity”[1] and “specificity” — by comparison with an established benchmark meaning the most accurate method available.

Australian infectious diseases specialist Sanjaya Senanayake, for example, stated in an ABC TV interview in an answer to the question “How accurate is the [COVID-19] testing?”:

If we had a new test for picking up [the bacterium] golden staph in blood, we’ve already got blood cultures, that’s our gold standard we’ve been using for decades, and we could match this new test against that. But for COVID-19 we don’t have a gold standard test.”

Jessica C. Watson of Bristol University UK confirms this in her paper “Interpreting a COVID-19 test result”, published recently in The British Medical Journal.  Dr Watson writes that there is a “lack of a clear-cut ‘gold-standard’ for COVID-19 testing.”

But instead of classifying the tests as unsuitable for SARS-CoV-2 detection and COVID-19 diagnosis, or instead of pointing out that only a virus, proven through isolation and purification, can be a solid gold standard, Watson claims in all seriousness that, “pragmatically” COVID-19 diagnosis itself “may be the best available ‘gold standard’.” But this is not scientifically sound.

Apart from the absurdity of taking the test itself as part of the benchmark for evaluating the PCR test, there are no distinctive specific symptoms for COVID-19, as even people such as Thomas Löscher, former head of the Department of Infection and Tropical Medicine at the University of Munich has acknowledged. Recently I have read that COVID 19 is a respiratory disease that is far worse than pneumonia, that is is a disease of the blood vessels, that it causes brain damage, affects liver, kidneys and other vital organs, and that it damages the digestive tract. Maybe the obvious confusuion among medical professionals arises because people with a range of pre – existing conditions that take in all these symptoms are particularly vulnerable to COVID 19

And if there are no distinctive specific symptoms for COVID-19, COVID-19 diagnosis cannot be suitable for serving as a valid gold standard.

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‘The Modelers’ Thought Of Everything Except Reality

This is a post from a U.S. economic research website, criticizing the ludicrously over – the – top actions taken to limit the effects of the COVID – 19 coronavirus pandemic. The responses were of course based on the warnings of “scientists” who rather than using empirical evidence relied on output from mathematical models in order to predict how the pandemic would unfold.

Needless to say the predictions were hopelessly wrong …

Via The American Institute for Economic Research,

As a site focused on economics, AIER would rather have stayed away from commentary on diseases and their mitigation. In normal times, we would have. 

The archives of AIER dating back to 1933 show that we had no comments on the polio epidemic (1948-1951), the Asian Flu (1957-59), the Hong Kong flu (1968-69), the Avian bird flu (2006), or the Swine flu pandemic of 2009, which was a strain most like 1918 and therefore, one might suppose, would have caused panic but did not.

We had nothing to say because disease mitigation is a job for medical professionals, not economists and certainly not politicians.

The problem is that this time, the disease mitigators (some of them, the ones in power and with the ear of politicians) didn’t stay out of economics. Indeed, their plans for mitigation trampled all over commerce, life, and the freedoms that are necessary to make it function. For a few months in 2020, the presumptuous model-building disease mitigators became central planners, overriding the wisdom of not only medical professionals but also economists, philosophers, political scientists, historians, and everyone else including legislatures and voters.

Our first piece on the topic ran January 27. The focus was on the quarantine power and the argument was simple: because people are not ridiculous and know how to deal with disease in consultation with medical professionals, this state power should not be deployed. At the time, people said we were being alarmist even for saying this. Nothing like this could ever happen in the U.S. because we have a Constitution and courts and a tradition of trusting the people …  Continue reading >>>

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Big Pharma “Criminal” Influence On Research Exposed In Secret Recording Of Lancet And NEJM Editors-In-Chief

from Zero Hedge

A secretly recorded meeting between the editors-in-chief of The Lancet and the New England Journal of Medicine reveal both men bemoaning the “criminal” influence big pharma has on scientific research.

The Lancet Editor-In-Chief Richard Horton

According to Philippe Douste-Blazy, France’s former Health Minister and 2017 candidate for WHO Director, the leaked 2020 Chattam House closed-door discussion between the EIC’s – whose publications both retracted papers favorable to big pharma over fraudulent data.

“Now we are not going to be able to, basically, if this continues, publish any more clinical research data because the pharmaceutical companies are so financially powerful today, and are able to use such methodologies, as to have us accept papers which are apparently methodologically perfect, but which, in reality, manage to conclude what they want them to conclude,” said Lancet EIC Richard Horton.

According to Douste-Blazy, the the EICs said the influence wielded by big Pharma to influence publications is “criminal.”

Watch:

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Scientist who convinced Boris lockdown was the only way to beat coronavirus criticised many times for flawed research

The scientist whose mathematical models of how the coronavirus would spread in the UK and the wildly exaggerated estimates of how many deaths might result from the epidemic reportedly led to the decision to implement a countrywide lockdown and trash the economy has been criticised in the past for flawed research.

In fact Professor Neil Ferguson, of the MRC Centre for Global Infectious Disease Analysis at Imperial College in London, who authored and published a research paper predicting that The UK was likely to see 250,000 premature deaths during a coronavirus epidemic unless measures to effectively shut down the country were taken. It is this research which convinced Prime Minister Boris Johnson and his cabinet and advisors to introduce the lockdown.


Neil Ferguson: would you buy a used mathematical model from this man (Picture: Daily Telegraph_

It is, however, always unsafe to accept the word of one scientist or one research project, and it seems Prof. Ferguson is such an incorrigible publicity junkie he has a track record for making exaggerated and sensationalised claims about the probable outcomes of various crises which is longer than the Tour de France course. It is now being discussed publicly that Ferguson has a long established reputation for making predictions based on allegedly faulty assumptions and the results of mathematical models which have nonetheless shaped government strategies and impacted the UK economy. We have to cease this deification of scientists now. They are not impartial and objective seekers after truth, but are every bit as self interested as the rest of us. And when we look at Freguson’s career and the disastrous policy decisions his methematical models have lead to, the best we can say is “He’s not The Messiah, he’sa a very naughty boy,” (h/t Monty Python’s Flying Circus.)

The 2001 model used by Professor Ferguson and his team at Imperial College London concluded that the culling of animals include not only those found to be infected with the virus but also those on adjacent farms even if there was no physical evidence of infection.

“Extensive culling is sadly the only option for controlling the current British epidemic, and it is essential that the control measures now in place be maintained as case numbers decline to ensure eradication,” said their report which as presented to government, but published after the cull began

This mass slaughter – technically known as contiguous culling – triggered disgust in the British public as news video night after night showed the corpses of healthy animals being stacked, soaked with fuel oil and burned, and also prompted analyses of the methodology which led to such an appalling and, as it turned out, unjustified conclusion.

An analysis of Ferguson’s research published in the 2011 paper, Destructive Tension: mathematics versus experience – the progress and control of the 2001 foot and mouth epidemic in Great Britain, found that the government had ordered the destruction of millions of animals on evidence from “severely flawed” modelling.

According to one of its authors – the former head of the Pirbright Laboratory at the Institute for Animal Health, Dr Alex Donaldson – Ferguson’s models made a “serious error” by “ignoring the species composition of farms,” (a fairly basic piece of information, it must require a special kind of stupidity to be unable to distinguish betwen cattle, sheep and pics,) and the fact that the disease spread more easily between some species than others.

The report stated: “The mathematical models were, at best, crude estimations that could not differentiate risk between farms and, at worst, inaccurate representations of the epidemiology of FMD.”

It also described a febrile atmosphere – reminiscent of the fear and panic whipped up by attention seeking “experts,” celebrities and the mainstream media in recent week – and suggested that this hysteria allowed mathematical modellers to shape government policy.

“The general impatience that met the wait for the full extent of infections to become apparent, accompanied by an ever increasing number of outbreaks and piles of carcasses awaiting disposal, was perceived as a lack of success of the traditional control measures and provided the opportunity for self-styled ‘experts’, including some veterinarians, biologists and mathematicians, to publicise unproven novel options,” the researchers said.

As the lead scientist behind that disputed advice that led to Tony Blair’s government ordering the mass culling of farm livestock during the 2001 epidemic of foot and mouth disease, a crisis which cost the country billions of pounds was none other than Ferguson who based his conclusion on the output from – you guessed it – mathematical models of a cow and a bacterium, it is absolutely unacceptable that this man’s advice is being allowed to influence government.

And before that it was he who predicted that up to 150,000 people could die from bovine spongiform encephalopathy (BSE, or ‘mad cow disease’) and its equivalent in sheep if it made the leap to humans. The BSE panic is long forgotten but BSE is still around and still no cure has been developed, yet to date there have been fewer than 200 deaths caused by the human form of BSE and none resulting from sheep to human transmission.

Ferguson’s foot and mouth disease research has attracted strong criticism in scientific journals and therefore cannot be said to have passed the acid test of scientific research, peer review. It has also been the subject of critical academic papers which identified allegedly unsupportable assumptions being made by Ferguson in creating the algorithms and defining the data for his mathematical modelling.

When challenged, he robustly defended his work, saying that he had worked with limited data and limited time so the models weren’t 100 per cent right – but that the conclusions it reached were valid. but as every old computer pro like myself knows, conclusions based on incomplete data may be valid in the circumstances but are meaninless. Mathematical models can only be relied on if they are fed all the relevant data, if guesses are made to fill in the gaps then the law of GIGO kicks in, “Garbage In, Garbage Out”.

Professor Michael Thrusfield, of the veterinary epidemiology faculty at Edinburgh University, who co-authored both of the critical reports, said the papers were intended to serve asas a “cautionary tale” about the dangers of using mathematical models to predict the spread of disease when there are unknown factors that can probably never be known.

He spoke of experiencing a sense of “déjà vu” when he read Mr Ferguson’s Imperial College paper on coronavirus, which was published earlier this month.

That paper – Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand – warned that if no action were taken to control the coronavirus, around 510,000 people in Britain would lose their lives.

Naive belief in the infallibility of mathematics has not only led to disastrous responses to outbreaks of disease of course, which is why many people of a naturally sceptical mindset have questioned the way modern academics conflate science and mathematics. Science and mathematics are not the same thing, in fact mathematics is not even a science, although we were al taught at school that is is. Mathematics is, in the truest sense of the word, an art: that is a contractions of artifice, which is a statement guaranteed to have some maths and science fanboys screaming in outrage. The true meaning of artifice however is not something false or dodgy, but something created by humans, something not of nature. And no matter what fanboys (and girls,) might try to tell you, nature does not do equations.

As I have said many time, computes are not infallible, they are only as good as the person who programs them. And there is no such thing as Artificial Intellegence, as Professor Ferguson’s wild adventures in mathematical modelling sem to show very clearly.

The Black-Scholes equation was the mathematical justification for the irresponsible trading in financial markets that plunged the world’s banks into meltdown a few years ago. The brainchild of economists Fischer Black and Myron Scholes, the equation provided a rational way (they believed,) to price a financial contract when it still had time to run. It was like buying or selling a bet on a horse, halfway through the race. It opened up a new world of ever more complex investments, blossoming into a gigantic global industry. But when the sub-prime mortgage market turned sour, the darling of the financial markets became the Black Hole equation, sucking money out of the universe in an unending stream. It was the Black-Scholes equation that opened up the world of derivatives.

The equation itself wasn’t the real problem. It was useful, it was precise, and its limitations were clearly stated. Derivatives could be traded before they matured. The formula was fine if you used it sensibly and abandoned it when market conditions weren’t appropriate. The trouble was its potential for abuse. Unfortunately a fatal flaw was that it allowed derivatives to become commodities that could be traded in their own right. The financial sector called it the Midas Formula and saw it as a recipe for making everything turn to gold. But the markets forgot how the story of King Midas ended.

The world’s banks lost hundreds of billions when the sub-prime mortgage bubble burst leaving thouse who had bought consolidated debt obligations in the belief that property prices would keep goping up forever. In the ensuing panic, taxpayers were forced to pick up the bill, but that was politics, not mathematical economics.

Likewise with Neil Ferguson’s mathematical models of diseases, in order to prevent a disaster which the professors mathematical models say is inevitable, politicians are being persuaded to courses of action that really will destroy national economies on the basis of a largely fictional (if not fantastic,) course of events. We must return to sanity now. Far more people are likely to die in a global recession than are ever going to be killed by coronavirus.

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Coronavirus breakthrough by Chinese Scientists?

Hope rose of a vaccine for  COVID-19 becoming available in the near future when Scientists at the Chinese Academy of Medical Sciences found that monkeys infected with the coronavirus variant developed immunity to the disease after recovering from it.

Unfortunately the hopes were quicky dashed when it emerged that after complting their tests to researchers ate the four monkeys for lunch.

A young rhesus monkey wonders why that Chinese research scientist is wearing a chefs hat and sharpening a butcher’s cleaver (picture: change.org)

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Are People In The Developed Nations Turning Away From Diversity?

A psychological study in the USA has concluded that Caucasians are expressing declining support for diversity.

In their study, which even a cursory examanation will reveal is deeply flawed, the psychologists conclude that white Americanshave come to view diversity and multiculturalism more negatively as the U.S. moves toward becoming a minority-majority nation, a team of UCLA psychologists report.

The researchers split a sample of 98 white Americans half male, half female, representative of regional, socio – economic classes and religious backgrounds, with an average age of 37, randomly into two groups. One group was told that whites will no longer be the majority in the U.S. by 2050; in fact, this is likely to be true as soon as 2043, according to some projections. The second group was told that whites would retain their majority status in the U.S. through at least 2050. All participants were then asked a series of questions about their views on diversity.

“Whites feel lukewarm about diversity when they are told that they are about to lose their majority status in the United States for the first time,” said Yuen Huo, UCLA professor of psychology and the study’s instigator.

Using a seven-point scale—where 1 meant “strongly disagree” and 7 meant “strongly agree”—subjects were asked how much they agreed or disagreed with statements like “One of the goals of our country should be to teach people from different racial, ethnic and cultural backgrounds how to live and work together” and “Americans should understand that differences in backgrounds and experiences can lead to different values and ways of thinking.” Those who believed whites would continue to be the majority gave an average response of 5.67, while those who believed that whites would no longer be the majority gave an average response of just 5.15.

“We see a significant reduction in the endorsement of diversity when white Americans are exposed to current projections of future demographics,” said Felix Danbold, a UCLA psychology doctoral student and the paper’s lead author. “Most Americans view diversity in positive terms, but many white Americans who see the actual demographic projections, and the loss of their majority status, end up being less enthusiastic about it.”

Those in the study who identified themselves as Republicans gave average responses of 4.5, compared with 5.8 for Democrats and 5.7 for independents. Thirty-six percent of the participants were Democrats, 21 percent were Republicans and 31 percent were independents.

Support for diversity was also higher among women, with an average response of 5.7; men’s average response was 5.1.

The main problem with this study is the sample size is far too small to be meaningful, 98 people from a population of 330 million? It’s nowhere near a thousandth of one percent. How can such a small number be considered representative?

Secondly there is the question of how we define diversity for such a study.

The Liberal / progressive movement are so blinkered by their self righteousness they have lost sight of what constitutes diversity. They scream “DON’T LABEL US,” then proceed to label themselves with their identity politics, talking about gay rights, trans rights, black rights, Islamophobia, homophobia and such.
I have some gay friends that, if you met them casually, you would never think they are gay, yet if lefties find out they will tell my friends “You should be proud to be gay.”

Why? my friends would ask. It’s their business alone, all their friends know, nothing to do with anybody else.

On the other hand I had a friend, Charlie, (we lost touch some years ago, no fallout, life just took us in different directions,) who anybody would reasonably assumed from his body language, speech mannerisms and general behaviour, to be gay. He wasn’t, he didn’t question his maleness, he was just who he was (and was married to a lovely woman.)

One of the care providers who visited my late wife in her final illness, A…. is a Muslim. Hijab? Baggy clothes that hide her figure? No way, short skirts, skin tight leggings, revealing tops, false eyelashes and her black hair beautifully styled, that’s the person the world sees.

This is real diversity. I find it ironic that for the left wing activists who scream about equality, diversity is only skin deep and beneath the colour of our skin these social justice activists expect us all to conform to the stereotypes defined by the politically correct left. In my view it is the constant lecturing and haranguing from the far left about how we must accept this, do that, tolerate the other that is turning both Europeans and caucasian Americans against this manufactured diversity that is being imposed on us by the Politically Correct Thought Police.

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Dr. Robert Epstein: Google’s Ephemeral Experiences Manipulate People on a ‘Massive Scale’

Dr. Robert Epstein, senior research psychologist at the American Institute for Behavioral Research and Technology and wel known critic of Google’s use of psychologial techniques to manipulate users decision making process by heavily censoring the information search users are fed, appeared on SiriusXM’s Breitbart News Daily to discuss Google’s latest tactics in election manipulation ahead on the us 2020 presidenyial election, and how voters and political campaign managers can combat them with host Alex Marlow.


Robert Epstein – warning us about Google’s evil ambitions

Epstein and Breitbart News editor-in-chief  Marlow discussed the current state of Google’s business and political activities and how the company could use its technology to influence voters.

Host Alex Marlow examined Epstein’s research saying: “I think you put out some pretty hard data on how many votes you think were moved in the 2016 election and I think you estimated it was over two million or so, is that not the case?”

Epstein responded: “Well it was at least 2.6 million and it could have been as many as 10.4 million depending on how aggressive google was in using the various tools they have available to them to shift votes. I can’t pin it down exactly but I know it’s in that range.”

Discussing the need for a system capable of analysing Google search results and suggestions to detect political and commercial bias, Epstein stated: “We need big monitoring systems in place, I’m so far the only person that’s created monitoring systems, I did one in 2016 and one in 2018. I’m trying now to raise funds to build a very big monitoring system for 2020 and to monitor a lot more than Google search results, to monitor newsfeeds, answers that people are getting from their personal assistants.”

Epstein explained that monitoring search results and auto-suggest terms are so important when monitoring election interference, stating: “If you don’t monitor, you can’t go back in time and figure out what these companies were showing people because what they’re showing people is ephemeral. That’s the term that Google’s own employees use internally, they’re showing ephemeral experiences, those really short-lived experiences that kind of appear before your eyes and then disappear, like search results for example.”

Google have openly acknowledged that their algorithms are set up to skew search results against content or sites favouring conservative or libertarian politics, while raising the visibility of liberal or progressive supporting content.

Epstein continued: “They’re using ephemeral experiences to manipulate people on a massive scale, people don’t know they’re being manipulated, and there’s no record kept of those experiences, they’re just generated for you on the fly and then they disappear.”

Listen to the full interview on Breitbart News Daily here.

To us the only question here is why are people still using Google as a search engine? Any pretence to neutrality in raking search relults was abandoned long ago, now search results are ranked in whether they serve Google’s political or financial interests.

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Finnish Climate Study Finds No Evidence That Humans Caused Climate Change

A team of Finnish climate researchers led by J. Kauppinen and P. Malmi of the Department of Physics and Astronomy at the University of Turku, have have published results of a project which found that the likely human contribution to a rise of 0.1°C in global temperatures over the past 100 years century is just 0.01°C. This is in direct contradiction of  the catastrophic global warming narrative built by research grant phishing Warmageddonist scientists and the bureaucrats of the  UN Intergovernmental Panel on Climate Change (IPCC). The UN has of course been making political use of Warmageddonist doom prophecies to advance its Agenda 21 and Agenda 30, both of which look like plans for global governance when subjected to critical scrutiny.

Kauppinen and Malmi write in their research analysis paper, dated June 29, 2019, that their research proves that GCM-models used in IPCC report AR5 fail to calculate the instances of the low cloud cover changes on the global temperature. They claim this is why the models used to make the case for catastrophic warming give a minimal natural temperature change, assigning a substantial change to the contribution of the greenhouse gases in the observed temperature.

This is the reason why IPCC has to use a considerable adjustment of data to compensate for the too small natural component. Further, scientists drafting reports for the IPCC have to leave out the strong negative feedback due to the clouds. Also, this paper proves that the changes in the low cloud cover fraction practically control the global temperature.

Kauppinen and Malmi explain:
“The climate sensitivity has an extremely large uncertainty in the scientific literature. The smallest values estimated are very close to zero while the highest ones are even 9 degrees Celsius for a doubling of CO2. The majority of the papers are using theoretical general circulation models (GCM) for the estimation. These models give very big sensitivities with a very large uncertainty range. Typically sensitivity values are between 2-5 degrees.

IPCC uses these papers to estimate global temperature anomalies and climate sensitivity.

However, there are a lot of papers, where sensitivities lower than one degree are estimated without using GCM.

The basic problem is still missing experimental evidence of the climate sensitivity.

Low cloud cover controls practically the global temperature. It turns out that the changes in the relative humidity and in the low cloud cover depend on each other. So, instead of low cloud cover, we can use the changes in the relative humidity in order to derive the natural temperature anomaly. According to the observations, a 1 % increase of the relative humidity decreases the temperature by 0:15°C.

The IPCC climate sensitivity is about one order of magnitude too high because a strong negative feedback of the clouds is missing in climate models. If we pay attention to the fact that only a small part of the increased CO2 concentration is anthropogenic, we have to recognize that the anthropogenic climate change does not exist in practice. The major part of the extra CO2 is emitted from oceans, according to Henry`s law. The low clouds practically control the global average temperature.

the last hundred years, the temperature is increased by about 0:1°C because of CO2 therefore:

The human contribution was about 0:01°C.”

The J. Kauppinen and P. Malmi report is the latest of many reports from research projects which provide evidence to challenge the scare tactics pushed by the purveyors of the climate change hypothesis and politicians seeking to use the climate change scare to erode our rights and liberties.

The facts show the climate models that have been proven wrong at every step, the Earth’s climate is much more complicated than the algorithms that can be programmed into a computer application could deal with, simply because there are so many unquantifiable effects acting on the climate. The CAGWARTs (Carbon- driven Anthropogenic Global Warming Alternative Reality Trolls still haven’t raised teir heads from their computer screens long enough to work out why the satellite temperature data says, Earth hasn’t warmed in twenty years , why there is still snow in winter, cool spells in summer, why Polar Bear numbers are incresing and where the 50 million people who were due to be displaced by rising sea levels by 2015 have disappeared to, (clue: they’re not hiding under harry Potter’s cloak of invisibility.)

READ a translation of the whole report (.pdf)

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Sharp Rise In Fake Science Publications Embarrasses Germany

Over 5,000 research scientists working in German universities and other higher education institutes have published their research findings in journals run by quasi-scientific publishers, according to a media report released on Thursday.

When researchers publish their results in a scientific journal, it is anticipated that their research theory, scope, assumptions, exclusions, method and data have been subjected to rigorous scrutiny by other scientists in the field in a process known as peer review. Though in recent years the per review  process has been discredited because of the operation of an old boy network in academic research, the system if properly executed acts as a form of quality control, ensuring that studies are scientifically sound before being released to the public.

Quasi-scientific publishers, however, carry out little to no review of the articles (a system known as pal review, you get your pal to say nice things about your research, in return you say nice things about the results of his next project) and often publish the articles soon after receiving them, according to research carried out by German public broadcasters NDR and WDR as well as German news magazine Süddeutsche Zeitung Magazin.

The publishers approach scientists and companies around the world, encouraging them to publish their work in one of their journals. The researchers then pay to have their article or study published in one of these journals where it appears within a few days.

The report found that some 400,000 researchers worldwide have used these scientifically dubious journals — knowingly or inadvertently — to publish their work.

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