idk why people dont take this seriously.
Playing: https://www.youtube.com/watch?v=PpCHP_ZU2HU
head in the sand futile wishful denial? aluminium poisoning indeced apathy? still in mass formation hypnosis and terror myopic misdistraction looking elsewhere?
#health #psychology
#drjohncampbell #embalmers #clots #statistics #depopulation #anthrocide
Something for your #tailtuesday, Alex. :))
Just a random find, @ CDG airport
Pardon the #socialscience / #statistics 'humor' here, but this struck me as perfect for #TwoTailTuesday [Ref: The two-tailed t]
Source: https://www.thenationalliteracyinstitute.com/post/literacy-statistics-2022-2023
#usa #reading #education #parents #kids #news #statistics #fail #Intelligence #library #book #future
1. #Jill #Stein reached 0,4% --> 611,492 votes
source: https://ballotpedia.org/Election_results,_2024
I would have hoped for significantly more votes here.
At least there was the opportunity to make a statement against the war. But in this choice between the bigger devils, people were somehow very willing to vote for this devil instead of choosing an alternative.
2. Astronomically high #fundraising and #spending on candidates.
It's funny that there is so much more money behind the Democrats, despite Musk's support for Trump.
It's funny that despite this fact, some Democrat supporters still define themselves as left-wing and anti-captilastic, when of course they never were.
source: https://ballotpedia.org/Presidential_election_campaign_finance,_2024
Buontempo said the data clearly shows the planet would not see such a long sequence of record-breaking #temperatures without the constant increase of #greenhouse gases in the #atmosphere driving global #warming.
#crisis #future #earth #weather #temperature #emissions #co2 #environment #nature #science #copernicus #statistics
3 coin flip Monte Carlo simulation in Clojure
https://www.youtube.com/watch?v=GfBVeckkMR8
#Clojure #Programming #Sotware #Computers #DataScience #Statistics #Probability
https://www.bitchute.com/video/s6u6eiE4YEZ1
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.
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.
#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.
#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
Stats With Clojure Book, Injee, and Clojure Diary updates
#Clojure #Programming #Computers #WebDevelopment #Statistics #DataScience #SciCloj
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.
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
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
