0 Persons are tagged with #statistics

#statistics

ramnath@nerdpol.ch
ramnath

https://www.bitchute.com/video/s6u6eiE4YEZ1

Josh Sigurdson reports on a #CDC #revelation showing that based on #statistics, taking 4 or 5 #covid #vaccines shortens a 30 year old's lifespan by around 24 years.

This data is public and easy to grasp based on growing death rates among the injected. Cleveland Clinic data showing no increase in risk among the unvaccinated also shows based on each vaccine, how much higher the risk climbs. 1 jab robs 30 year old men of 13 years. 2 jabs robs 30 year old men of 18 years. 3 jabs robs 30 year old men of 20 years. 4 jabs robs 30 year old men of 23 years. 5 jabs robs 30 year old men of 24 years. This rate is set to climb dramatically as yearly excess deaths among the injected get higher with each year-end count. This means, the more time goes by, even if you haven't gotten further injections, the risk of death goes up dramatically. This includes cancer, myocarditis, stroke as well as auto-immune disorders that lead to deadly ailments like shingles (which are currently being blamed on Monkeypox) and pneumonia. This is a crime against humanity and the studies seem to pour in by the day. A new bombshell court order has the FDA admitting to putting graphene oxide in the covid vaccines which for years they claimed was a conspiracy theory. It's right there on paper. Meanwhile, the state of Kansas is suing Pfizer for misleading the public about the risks of the covid injections. Pfizer has lost past cases regarding misleading the public but the lawsuits continue to build up. Will there be any actual justice? Not likely via basic lawsuits. Covid Czar Dr. Jay Varma was caught on camera recently claiming he was the one that convinced the #government to #lockdown and bring in vaccine mandates and that they were meant to "force vaccination" by making the public uncomfortable and discriminated against among social groups. Something that the government has continuously denied in the past, claiming "no one forced you to get injected." Varma also claimed that he had crazy secret sex parties while everyone was locked down. The evil just continues to present itself. Of course all of this is part of the same agenda to force the world into a transhumanist, technocratic wasteland of "convenience" and tyranny. From nano-technology in the vaccines to CBDCs and digital IDs, from social credit and carbon credits to food rations and the #Bird #Flu #hoax, from World #War 3 to Civil War. We are being corralled and #humanity is #under #attack.

VAX SHORTENS LIFE BY 24 YEARS! - Statistics Show Massive Population Collapse From Covid Vaccines!

Josh Sigurdson reports on a CDC revelation showing that based on statistics, taking 4 or 5 covid vaccines shortens a 30 year old's lifespan by around 24 years. This data is public and easy to grasp based on growing death rates among the injected....

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rhysy@diaspora.glasswings.com
Rhysy

I don't know who needs to hear this, but astrology doesn't work.

We enlisted six astrologers to help us a design a new study to test astrology itself, as practiced by astrologers, rather than the silly, tabloid version of it. And to make the challenge more interesting, we offered a $1000 prize to the first astrologer who could perform sufficiently well on our test.

Despite their high-degree of confidence in their performance, astrologers as a group performed no better than chance - that is, their distribution of results closely resembled what you'd see if they had all been guessing at random. And the number of charts they matched correctly, on average, was not statistically significantly different than random guessing either.

Not a single astrologer got more than 5 out of 12 answers correct - even though, after completing the task, more than half of astrologers believed they had gotten more than 5 answers correct. More experience with astrology had no statistically significant association with better performance, and the astrologers with the most experience didn't do any better than the rest.

Even if they were getting many answers wrong, did they at least agree with each other about what the right answers were? Quite surprising to us, there was very little agreement among astrologers about which natal chart belonged to each study subject. The astrologers who reported the greatest expertise had the highest level of agreement, but they still only agreed with each other only 28% of the time - whereas if they had been selecting charts at random, they would have agreed 20% of the time.

#Science
#Statistics

https://www.clearerthinking.org/post/does-astrology-work?utm_source=ClearerThinking.org&utm_campaign=c06f915e6e-EMAIL_CAMPAIGN_ASTROLOGY&utm_medium=email&utm_term=0_f2e9d15594-b71c1a1f3d-%5BLIST_EMAIL_ID%5D&mc_cid=c06f915e6e&mc_eid=601a60258c

Does astrology really work? We put 152 astrologers to the test

Recently, we ran a study testing whether astrological sun signs (like Scorpio and Capricorn) can predict any of 37 facts about a person’s life, such as their educational level, and number of close friends. We found that whereas some personality...

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part_of_you@diaspora.psyco.fr
part_of_you

#Covid 19, mice and fools

Virus or no virus? The debate continues to understand the origin of the paranoid delusion called #Covid-19. My training (or perhaps my bias) led me to study this concept extensively from a statistical perspective. The conclusion of four years of work is quite clear: there is no trace of any new pathogen in the #statistics of illnesses or deaths in recent years. All excess deaths are due to the mistreatment of the most vulnerable, driven by fear of the virus. All the dates, all the numbers, correspond to this explanation. This approach could be called "bottom-up": starting from the final statistics to trace back to their foundations and concluding that nothing called "Covid-19" is scientific or even coherent.

A number of proponents of the "top-down" method also criticize the lack of certainty, and even the lack of science, in the theory of the new asymptomatic killer virus: "SARS-COV-2". Others, on the contrary, believe that its existence is well-proven and its properties known. To support their claims, they often cite scientific articles published in major journals, while specifying that these are not reliable when the results are unpleasant.

In a discussion on this subject, Yves #Rasir sent me a study published in the prestigious journal Nature "proving" that " #SARS-COV-2" is indeed a pathogen. The study focuses on the "genetic resistance" of a large number of mice that researchers supposedly "infected" with the virus. Reading this article and trying to match the announced results with the data provided in the appendix, I was so stunned by the inconsistencies from every angle that I called my friend Eusèbe #Rioché for help. I was at the point where I would have preferred him to show me that I no longer knew how to add. Unfortunately, the reality is worse than expected, as Eusèbe further criticized this prose written in globish that passes for science. I will probably end up needing therapy because just seeing a guy in a lab coat on a screen now triggers uncontrollable laughter.

https://youtu.be/GRIppEQwRV0

#chaillot #coronavirus #science #corruption

See also his first video in English :

Covid 19 : Decoding Official Data with Dr Sam #Bailey
https://youtu.be/ygRBI3FvYbM

"We can discuss everything except the numbers", former French Minister of Health Olivier Véran once said.
After three years spent collecting and analyzing virtually all the figures concerning the Covid 19 crisis from French and international organizations, statistician Pierre Chaillot can confirm the opposite: we need to discuss everything, and especially the numbers. Particularly those that political and medical leaders deliberately chose not to quote, because they risked causing the official story to collapse.
In this book, Pierre Chaillot presents the results of these analyses. The data he cites are all sourced, his calculations are entirely open to consultation on his website, and his hypotheses have been discussed and reviewed by specialists in statistics, computer science, mathematics and epidemiology. His findings are astounding. #Mortality, hospitalizations, tests, #vaccine effectiveness, side effects, nothing stands up to the ordered confrontation of all the data, and before the eyes of the appalled reader, the propaganda collapses.

https://www.amazon.fr/Covid-19-Decoding-Mortality-hospitals-ebook/dp/B0D5BRWR9Z

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rhysy@diaspora.glasswings.com
Rhysy

Amid the flurry of scientific energy, the team faced a persistent problem: interpreting its data in the face of small sample sizes. One challenge the brewers confronted involves hop flowers, essential ingredients in Guinness that impart a bitter flavor and act as a natural preservative. To assess the quality of hops, brewers measured the soft resin content in the plants. Let’s say they deemed 8 percent a good and typical value. Testing every flower in the crop wasn’t economically viable, however. So they did what any good scientist would do and tested random samples of flowers.

The theory underlying these perennial questions in the domain of small sample sizes hadn’t been developed until Guinness came on the scene—specifically, not until William Sealy Gosset, head experimental brewer at Guinness in the early 20th century, invented the t-test. The concept of statistical significance predated Gosset, but prior statisticians worked in the regime of large sample sizes.

Gosset recognized that this approach only worked with large sample sizes, whereas small samples of hops wouldn’t guarantee that normal distribution. So he meticulously tabulated new distributions for smaller sample sizes. Now known as t-distributions, these plots resemble the normal distribution in that they’re bell-shaped, but the curves of the bell don’t drop off as sharply. That translates to needing an even larger signal-to-noise ratio to conclude significance. His t-test allows us to make inferences in settings where we couldn’t before.

#Statistics
#Beer

https://archive.is/2024.05.29-113132/https://www.scientificamerican.com/article/how-the-guinness-brewery-invented-the-most-important-statistical-method-in/

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faab64@diasp.org
Farhad A

Gaza stats

  • 110 schools and universities completely destroyed.
  • 604 mosques completely destroyed.
  • 3 churches targeted and destroyed.
  • 138,300 housing units completely destroyed.
  • 453,000 housing units partially destroyed.
  • 33 hospitals taken out of service.

It is self-defense, paid and provided by the US of A.

Don't you dare criticizing the children of light or you will be called ........... (fill if yourself).

#Israel #Gaza #Genocide #Statistics #Politics #Palestine #WarCrime

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anonymiss@despora.de
anonymiss

Why is #Mozilla collecting our #search data?

source: https://blog.mozilla.org/en/products/firefox/firefox-search-update/

Sensitive topics, like searching for particular health care services, are categorized only under broad terms like health or society. Your search activities are handled with the same level of confidentiality as all other data regardless of any local laws surrounding certain health services.

Hello Mozilla, I use Firefox because my privacy is important to me. The best security is still achieved if you don't collect the data. That is why I will use a fork that does not collect search data. It would be nice if Mozilla took user privacy more seriously.

#privacy #news #browser #web #internet #firefox #security #cybersecurity #surveillance #statistics #bigdata #bigbrother

See what’s changing in Firefox: Better insights, same privacy | The Mozilla Blog

Innovation and privacy go hand in hand here at Mozilla. To continue developing features and products that resonate with our users, we’re adopting a new a

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tpq1980@iviv.hu
T Q

London hosts an average 13.83x more Immigration Advisor offices than other parts of the UK. London is the primary engine of cultural & ethnolinguistic fragmentation.

47.9% of the 1,698 #Immigration Advisor offices are in #London; #Manchester 4.7%, #Birmingham 4.4%, #Glasgow 2.6%, #Leeds 1.8%, #Leicester 1.7%, #Bradford 1.3%, #Nottingham 1.3%, #Sheffield 1.2%, #Belfast 1.2%, #Newcastle 1.1%, #Bristol 1.1% & the other 29.7% distributed across the #UK.

See the map of 1,991 locations of 1,698 #OICS Regulated Immigration Advisors.

https://www.google.com/maps/d/edit?mid=1dHM1e54SFKrNSljscejynT3pDOgJE4U&usp=sharing

#Data: https://portal.oisc.gov.uk/s/adviser-finder

#ethnolinguisticfragmentation #statistics #ethnography #multiculturalism #elitism #consentofthegoverned

OICS Regulated Immigration Advisors – Google My Maps

The locations of 1,991 government regulated immigration advisors as of March 2024 at a time when the UK has experienced the largest nett immigration numbers of all time despite there being no mandate or consent from the British people for such a...

rhysy@diaspora.glasswings.com
Rhysy

More interesting than whether the whole mammalian class has some gender-based size bias (honestly, who cares) is how such common knowledge is, as frequently, wrong. Well, most likely wrong. I would have liked more on the #statistics.

An analysis of 429 mammalian species published in Nature Communications reveals that just 45 percent feature males that are larger than females. Nearly an equal number of species, 39 percent, have sexes that are about the same size. And in 16 percent of species, females are larger than males.

Most past studies that compared male and female size, Tombak found, only considered the average body mass for each of the sexes. The authors then drew conclusions based on whatever cutoff they set for determining if there was a difference. “It was just arbitrary,” Tombak says. Virtually all of these papers reinforced Darwin’s view that males are larger than females in mammalian species.

Tombak and her colleagues started filling in the gaps by conducting a thorough literature review, oftentimes turning to “obscure” papers published decades ago, she says. They were looking for not just averages pertaining to the sexes’ sizes but also measures of variance around the mean so they could apply statistical tests to determine whether a species truly seemed to be dimorphic.

#Science
#Nature

https://www.scientificamerican.com/article/males-arent-larger-than-females-in-most-mammal-species/

Males Aren’t Larger Than Females in Most Mammalian Species

A new study corrects a biased assumption promoted by Charles Darwin 150 years ago and repeated ever since

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anonymiss@despora.de
anonymiss

How Far to the 1.5°C #Limit?

source: https://tamino.wordpress.com/2024/01/08/how-far-to-the-1-5c-limit/

And what, you deserve to know, is my answer to the original question, “How far to the 1.5°C limit?” Using the current smoothed values calculated with my new definition of “pre-industrial,” I’ll say we are now 1.32°C above pre-industrial, so another 0.18°C will bring us to the limit. At the rate we’re going, I expect that to happen in the early 2030s.

#climate #earth #emissions #problem #environment #temperature #future #science #statistics

How Far to the 1.5°C Limit?

The Paris accord set a lofty goal: to prevent Earth’s average surface temperature rising more than 1.5°C above “pre-industrial,” i.e. its value before the industrial revolution. T…

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anonymiss@despora.de
anonymiss

Dan #Ariely and Francesca #Gino became famous for their #research into why we bend the #truth. Now they’ve both been accused of fabricating data.

Source: https://www.newyorker.com/magazine/2023/10/09/they-studied-dishonesty-was-their-work-a-lie

She and a collaborator (who wished to remain anonymous, for fear of professional retribution) approached Data Colada. The team had had its own doubts about Gino since 2014, but had concluded that a full investigation was more trouble than it was worth. Now, however, they scrutinized her previous work, and found multiple instances of data that seemed to be misbehaving. #Ziani said, “The magnitude of the fraud was potentially so gigantic that they didn’t want to be merely one hundred per cent sure but one thousand per cent sure.”

#news #crime #science #scam #manipulation #statistics #research #education #problem

They Studied Dishonesty. Was Their Work a Lie?

Dan Ariely and Francesca Gino became famous for their research into why we bend the truth. Now they’ve both been accused of fabricating data.

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