[Video] Explaining YouTube Comedian Jimmy Dore’s Confusion over COVID-19 Fatality Rates

Explaining Jimmy Dore’s Confusion over COVID-19 Fatality Rates (Odysee)

Video explaining YouTuber comedian Jimmy Dore’s confusion about COVID-19 fatality rates, due to the significant distinction between the case fatality rate (CFR) and the infection fatality rate (IFR).

Video Links: BitChute NewTube ARCHIVE

References:

Do Lockdowns Work: The Jimmy Dore Show Rumble: https://rumble.com/vq8zzu-how-lockdowns-devastate-you-while-boosting-billionaires.html

http://wordpress.jmcgowan.com/wp/the-distinction-between-the-case-fatality-rate-cfr-and-the-infection-fatality-rate-ifr/ (My May 2020 Blog Post on the difference between the CFR and IFR)

https://coronavirus.jhu.edu/data/mortality (Johns Hopkins Site Showing Case Fatality Rates)

https://www.who.int/bulletin/volumes/99/1/20-265892.pdf (Stanford Epidemiologist John Ioannidis’s Meta Analysis of Infection Fatality Rates referenced by Jimmy’s guest Max Blumenthal). Bull World Health Organ 2021;99:19–33F DOI: http://dx.doi.org/10.2471/BLT.20.26589

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About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Article] Fixing the CDC’s Problematic COVID Death Numbers

Posted an updated version of our paper on fixing the US Centers for Disease Control (CDC)’s problematic pneumonia, influenza, and COVID-19 (PIC) death numbers.

John F. McGowan, Ph.D., Tam Hunt, Josh Mitteldorf, PhD. Improving CDC Data Practices Recommendations for Improving the United States Centers for Disease Control (CDC) Data Practices for Pneumonia, Influenza, and COVID-19 (v 1.1). Authorea. November 29, 2021.
DOI: 10.22541/au.163822197.79126460/v1

Key points are:

o The CDC has at least three different estimates/counts of deaths from influenza and pneumonia before March 2020, two of which (FluView and the leading causes of death report) differ by a factor of over three.  FluView attributes about 6-8 percent of deaths to pneumonia and influenza each year and the leading causes of death report attributes about 2 percent of deaths each year to pneumonia and influenza.   The FluView numbers have been expanded to incorporate COVID deaths since March 2020.

o The likely cause of the discrepancy between the FluView and leading causes of death numbers is that the FluView numbers, based on the technical notes, count any death where pneumonia and/or influenza is listed as “a cause of death” whereas the leading causes of death report counts only deaths where pneumonia and/or influenza is listed as the “underlying cause of death.”   Except for the fine print in the technical notes, the language, labels and titles on graphs etc., on both FluView and the leading cause of death reports state the deaths are caused by (“due to”) pneumonia and influenza.

o What does this mean for COVID?  The CDC appears to have changed the criterion for assignment of underlying cause of death for COVID in their April 2020 COVID death certificate guidance to always assign COVID as the underlying cause of death even in cases of chronic lower respiratory disease and COPD (a subset of chronic lower respiratory disease usually meaning chronic bronchitis or emphysema).  Hence the CDC’s deaths “from COVID” are probably comparable to the larger FluView deaths — about 188,000 deaths per year before March 2020 — or an even larger number due to the attribution of deaths to COVID that would be called heart attack or stroke deaths absent a positive COVID test or diagnosis.  This supports but does not prove the hypothesis that COVID is largely a threat to a subset of vulnerable persons with preexisting serious health problems such as COPD and largely or entirely not a threat to the general healthy population; we do not state this in the paper but it is an obvious implication.

o Extensive failures to follow common scientific and engineering practice and use of confusing terminology.  Lack of statistical and systematic errors, especially with respect to the assignment of  a/the cause of death which many studies show is substantially uncertain — as appears illustrated by the discrepancy between the leading causes of death report and the FluView numbers.  Frequent confusion between what is a model/estimate and what is a count. 

(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video] Improved Way to Find and Evaluate Censored Internet Content

Screenshot of Censored Search Web Site
https://odysee.com/@MathematicalSoftware:5/improved-way-to-find-and-evaluate-censored-internet-content:3

Other Video: BitChute ARCHIVE

A short video announcement for the Censored Search 2.1 web site and service — find the products and services that cost less, work better, and preserve your liberty that Big Tech and Big Pharma are censoring and shadow-banning!

Censored Search 2.1 Announcement Script

We are witnessing unprecedented censorship of competing products and services by Big Pharma and other advertisers that fund Google, Facebook, Twitter and other Internet near monopolies, aided and abetted by politicians in both political parties and across the supposed political spectrum who depend on these giants for campaign contributions and cushy jobs after they leave government service. This unholy alliance is pushing inadequately tested extremely expensive patented drugs and purported vaccines that fail in a matter of months at best, and intrusive surveillance technology products such as vaccine passports beyond the dystopian nightmares of George Orwell in 1984, Aldous Huxley in Brave New World, and Ray Bradbury in Fahrenheight 451.

How do you find the products and services that cost less, work better, and preserve your liberty when Google and other advertising funded search engines censor and shadow ban any products or services competing with this unholy alliance of monopolies, politicians, and the secret police?

Demo searches for “ivermectin,” “vitamin D,” and “air purifier.”

NOTE This is a link to a popular article on the airborne transmission of tuberculosis study at Johns Hopkins that I mentioned:

https://publichealth.jhu.edu/2020/the-experiment-that-proved-airborne-disease-transmission

Our censored search web site and service enables you to search censored and shadow banned web sites for suppressed information. We offer transparency on what the search ranking algorithms are doing and tools to help you separate fact from disinformation. We offer both a free service for everyone and a paid professional service with full access to our tools and the ability to customize the search algorithms for your needs. Our business model is end user funded to avoid either direct control or subconscious bias from advertisers.

Our censored search service is intended as a complement to increasingly censored advertising funded search engines such as Google, Yahoo, Bing, and even DuckDuckGo which appears to be increasingly shadow banning alternative content. We cannot duplicate many useful features of the censored search engines yet, nor is this needed. Use our search engine for censored and shadow-banned content — get the other side or sides of the story. Remember there are often more than two sides to a story!

Inclusion in our search engine is not an endorsement. We include sites based on evidence of censorship or shadow banning in our judgment. We attempt to be neutral and provide tools to our users to evaluate and verify the content without relying on our fallible judgment. There is evidence that powerful interests actively spread disinformation to alternative sites to make identifying suppressed factual information difficult and discredit factual information through guilt by association. We are developing tools to fight these active disinformation tactics.

We have made a number of improvements to our service since our Censored Search 2.0 release last month. We have added the popular libertarian site LewRockwell.com which reports being demonetized, cut off from advertising revenues by Google. We also added Julius Ruechel who has written some detailed analyses of the COVID pandemic and response. The list of supported web sites in now ranked by crawl date, most recent first, to enable users to quickly tell what is new. We have integrated the WordNet dictionary to automatically provide definitions of words and phrases in the dictionary as well as help recognize mispelled search words and phrases.

Bill Gates WORDNET dictionary demo.

What is coming? We make continuous improvements to the service. Our main current goal is improving the search algorithms and user tools to better find and evaluate factual information that has been suppressed in an independently verifiable way. You should not have to trust us or the web sites.

Give us a try at censored-search.com We welcome constructive feedback. How can we serve you better? Bookmark our site as the censorship is growing by leaps and bounds. You may need us more in the future! Let your friends and colleagues know. You can access more advanced features and support development of a transparent, verifiable search engine that works for you and NOT giant advertisers such as Big Pharma by becoming a paid subscriber.
If you want to support our development work, subscribe now!

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(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video] A New Way to Find and Evaluate Censored Internet Content

https://odysee.com/@MathematicalSoftware:5/a-new-way-to-find-and-evaluate-censored-internet-content:7?r=CKnxNvEAN5oQkzyHVr4u9WfojavPWbhe

Alternate Video Links: NewTube BitChute YouTube

Introducing our new, improved Censored Search 2.0 web site and service with AI algorithms to analyze and rank content on web sites censored by advertisers and other powerful interests. The algorithms analyze and prioritize search results by useful financial information, professional and personal relationships, and criminal and legal data. Paid subscribers have full access to the advanced algorithms as well as the ability to rate the usefulness and quality of individual web sites in the database of censored web sites.

The Censored Search Web Site and Service
http://censored-search.net/
http://censored-search.com/
http://censored-search.org/

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(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Article] President Biden’s Misleading COVID Math

In his September 9, 2021 “Remarks by President Biden on Fighting the COVID-⁠19 Pandemic” US President Biden quoted a remarkably misleading statistic that in fact paints a grim picture of the effectiveness of the COVID-19 vaccines in the United States.

In fact, based on available data from the summer, only one of out of every 160,000 fully vaccinated Americans was hospitalized for COVID per day.

This actually means that over 1,000 fully vaccinated American per day were hospitalized, around 90,000 over the three months of summer if this refers to new hospitalizations per day rather than number of people in a hospital on each day, suggesting around 4-9 million fully vaccinated Americans were infected with the virus during the summer when respiratory viruses are at a seasonal low.

The US federal government currently (Sep 10, 2021) claims about 53 percent of American are fully vaccinated. There are about 330 million people in the United States. This means about 175 million Americans are fully vaccinated. If one (1) in 160,000 fully vaccinated Americans was hospitalized for COVID per day, this works out to (175 million/160,000) about 1,093 American hospitalized per day.

COVID has an infection fatality rate (IFR) of around 0.3 percent (not the case fatality rate or CFR which is often confused with the IFR, which is usually the fractions of deaths among symptomatic cases reported by doctors or hospitals — not people who stay home and recover or simply have no or negligible symptoms). Probably a few percent of people infected with COVID actually are hospitalized.

For example in the recent Provincetown, Cape Cod (Barnstable County, Massachusetts) outbreak four (4) fully vaccinated people out of 346 fully vaccinated persons identified by the CDC and Massachusetts state public health contact tracing were hospitalized, giving a hospitalization rate of about (4/346) 1.16 percent of the fully vaccinated. The hospitalization rate for the unvaccinated in the Provincetown outbreak was statistically the same as the hospitalization rate for the fully vaccinated — about one (1) percent.

Using a one percent hospitalization rate among the fully vaccinated means that nine (9) million fully vaccinated American were infected with COVID-19 during the summer of 2021, despite the vaccines and the seasonal low in respiratory viral diseases. A more conservative hospitalization rate of two (2) percent gives 4.5 million Americans infected.

Even if President Biden’s number refers to the number of fully vaccinated persons in a hospital each day rather than new hospital admissions with COVID, assuming a typical stay of two weeks in a hospital with COVID, this gives about 6,000 hospitalizations over a three month (six two-week periods) summer, meaning 300,000 to 600,000 fully vaccinated persons infected with COVID during the seasonal summer low in respiratory viral diseases.

What Does This Mean?

As with the official CDC report on the Provincetown, Cape Cod, Massachusetts outbreak and disappointing result in Israel, President Biden’s highly misleading number strongly suggests the COVID vaccines are failing to prevent infection by COVID and the spread of the disease on a large scale.

(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Link] Slate article on the COVID-19 Noble(?) Lies of Fauci and the CDC

The Noble Lies of COVID-19

Do we want public health officials to report facts and uncertainties transparently? Or do we want them to shape information to influence the public to take specific actions?

By Kerrington Powell and Vinay Prasad July 28, 2021

https://slate.com/technology/2021/07/noble-lies-covid-fauci-cdc-masks.html

A good summary and discussion of the shifting and sometimes contradictory official claims from Anthony Fauci, the CDC, and other authorities about masks, herd immunity, and other key COVID-19 pandemic topics.

(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video/Article] Are Conspiracy Theories Inherently Irrational?

Click on this thumbnail image to see video at Odysee.com

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The belief common among intellectuals that “conspiracy theories” are inherently irrational or so unlikely as to be essentially inherently irrational is demonstrably false.

Are Conspiracy Theories Inherently Irrational Article: http://wordpress.jmcgowan.com/wp/article-are-conspiracy-theories-inherently-irrational/

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(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Article] Are Conspiracy Theories Inherently Irrational?

Are Conspiracy Theories Inherently Irrational?

The belief common among intellectuals that “conspiracy theories” are inherently irrational or so unlikely as to be essentially inherently irrational is demonstrably false.

Merriam Webster defines conspiracy as “the act of conspiring together” and conspiring as “to join in a secret agreement to do an unlawful or wrongful act or an act which becomes unlawful as a result of the secret agreement.” The dictionary gives a range of word meanings for “theory” including “a hypothesis assumed for the sake of argument or investigation” which comes closest to the way “theory” is used in the phrase “conspiracy theory.”

The phrase “conspiracy theory” is used most often to mean “totally crazy conspiracy theory” or “conspiracy theory highly contradicted by the evidence” instead of the dictionary meaning of “conspiracy theory.” The phrase is often paired with “conspiracy theorist” and assertions that the conspiracy theory has been “debunked.” It is sometimes paired with the phrases “denier,” “denialism,” and “pseudoscience.” For example, “COVID denier” or “AIDS denier.”

“Conspiracy theory” is usually invoked to attack theories, evidence of misconduct, evidence of conflicts of interests, and even evidence of simple mistakes by authority figures in the group or groups — ethnic, professional, political, social — that the author identifies with or belongs to. In some case the author or authors using the phrase “conspiracy theory” are the subjects of the suspicions or evidence: https://thebulletin.org/2021/08/how-covid-19s-origins-were-obscured-by-the-east-and-the-west/.

“Conspiracy theory” is often invoked in discussions of murders or possible murders (suspicious “suicides” such as Jeffrey Epstein, accidents etc.) such as the assassination of President Kennedy or mass killings with actual or potential large scale political or economic consequences such as the September 11, 2001 terrorist attacks. A high percentage of “conspiracy theories” involve assassinations, mass killings, and other murders or possible murders. These include the assassination of President Kennedy in 1963, his brother Robert Kennedy in 1968, Martin Luther King in 1968, Malcolm X in 1965, US Senator Huey Long in 1934, the mysterious crash of TWA Flight 800 in 1996, the Columbine mass school shooting in 1999, the September 11, 2001 terrorist attacks, the anthrax attacks just after the September 11 attacks in 2001 blamed on Bruce Ivins, and the COVID-19 pandemic.

“Conspiracy theory” is often paired with the explicit or implicit argument that “someone would have talked” and that an actual conspiracy could not keep its activities sufficiently secret to avoid prosecution or successfully organize a group, often implied to be large, of people covertly.

Conspiracy is recognized in common law and groups of people are convicted of conspiracy all the time. (UPDATE: August 29, 2021) See, for example, 18 US Code 371: Conspiracy to commit offense or to defraud United States

If two or more persons conspire either to commit any offense against the United States, or to defraud the United States, or any agency thereof in any manner or for any purpose, and one or more of such persons do any act to effect the object of the conspiracy, each shall be fined under this title or imprisoned not more than five years, or both.

If, however, the offense, the commission of which is the object of the conspiracy, is a misdemeanor only, the punishment for such conspiracy shall not exceed the maximum punishment provided for such misdemeanor.

Some recent conspiracy convictions found with the DuckDuckGo search engine on August 23, 2021:

https://www.justice.gov/usao-ma/pr/sutton-man-convicted-cocaine-conspiracy

https://www.justice.gov/opa/pr/man-convicted-conspiracy-import-and-distribute-fentanyl

https://qctimes.com/news/local/crime-and-courts/two-iowa-men-convicted-for-conspiracy-to-distribute-meth-in-rock-island/article_ff3a06e5-1624-5016-a342-b59d7618aff4.html

https://www.newsbreak.com/news/2333127480906/bronx-man-convicted-of-murder-for-hire-conspiracy-drug-trafficking-and-firearms-offenses

https://www.indystar.com/story/news/local/hamilton-county/2021/08/05/white-collar-crime-banc-serv-defendants-found-guilty-wire-fraud/5504238001/

The US Federal Bureau of Investigation’s homicide statistics for 2019 attribute 14.7 percent of the total 13,927 murders that year to “multiple offenders,” meaning a conspiracy in common usage even if the case does not meet the legal definition of conspiracy or conspiracy was not charged for some other reason.

https://ucr.fbi.gov/crime-in-the-u.s/2019/crime-in-the-u.s.-2019/topic-pages/tables/expanded-homicide-data-table-4.xls

The same table attributes 27.8% of these murders to an unknown offender or offenders. This is particulary significant because a high proportion of unsolved murders in the United States are attributed to “gang violence” or “organized crime,” meaning a conspiracy in common usage.

UPDATE: August 29, 2021

See, for example:

Chen, Elsa Y. “Victim and Witness Intimidation.” Encyclopedia of Race and Crime. Editors Helen Taylor Greene and Shaun L.
Gabbidon. Thousand Oaks, CA: Sage Publications (2009)

Community-wide implicit victim and witness intimidation has become particularly severe and widespread in neighborhoods dominated by gangs and drugs, including many predominantly African American and Latina/o inner-city areas. Asian gangs also engage in intimidation. A well-known example of implicit intimidation is a grassroots campaign known as “Stop Snitchin’,” which began in Baltimore around 2004 and quickly spread to other urban areas by several means, including CDs and DVDs, websites, T -shirts, and rap lyrics. The movement’s purpose is to urge community members not to cooperate with criminal justice authorities, and to remind them that “snitches wear stitches.” Gang members have appeared in courtrooms wearing Stop Snitchin’ T -shirts, provoking efforts to ban the shirts by judges and political officials. The success of the Stop Snitchin’ movement can be attributed in part to some community members’ anger regarding the high rate of incarceration among minority men, frustration over criminal justice authorities’ use of informants from the community and jails or prisons to facilitate the prosecution and incarceration process, and general mistrust of law enforcement officials, who often do not provide adequate protection for those who do cooperate and sometimes reward unreliable informants with leniency in prosecution or sentencing. The Stop Snitchin’ mantra is redolent of the Italian Mafia’s centuries- old code known as omerta, an oath of silence prohibiting cooperation with the authorities under any circumstances.

The culture and attitudes surrounding rap and hip hop music have perpetuated the practice of victim and witness intimidation and the implicit code of silence . Some well-known rap artists have refused to cooperate in criminal cases in which they or their friends or members of their entourages were victims or suspects. Other popular rappers have produced songs urging listeners not to speak with the police. The murders of several rap and hip hop stars, including Tupac Shakur, the Notorious B.I.G., and Jam Master Jay from Run D.M.C., remain unsolved because of witnesses’ unwillingness to violate the “code of the street” by speaking to the police or testifying in court.

END UPDATE

“Over 1,000 victims, 126 dead, just 2 convictions: 6 years of mass shootings in Chicago” By Tom Schuba and Andy Grimm, August 2, 201, Chicago Sun Times

https://chicago.suntimes.com/crime/2021/8/2/22559312/mass-shooting-victims-gun-violence-crime-cpd-police-department-clearance-murder-arrest

https://www.theguardian.com/us-news/2016/sep/04/chicago-gun-violence-unsolved-murders-deadly-year

Online searches for gang violence and unsolved murders often turn up articles and official reports using the phrases “gun violence” and emphasizing the race of both victims and suspected perpetrators of unsolved murders, usually in so-called “inner city” neighborhoods. Nonetheless careful reading show these articles and reports are talking about unsolved gang murders often involving drugs or other illegal activities: criminal conspiracies.

Some Famous (or Infamous) Unsolved “Organized Crime” Murders

Arnold Rothstein — November 6, 1928 — reputed prohibition era mob boss and “mentor” of Charles “Lucky” Luciano, Meyer Lanksy, and other famous mobsters.
Benjamin “Bugsy” Siegel — June 20, 1947 — close associate of Lucky Luciano and Meyer Lansky
Albert Anastasia — October 25, 1957 — alleged mob boss and head of “Murder Inc.”
“Sam” Giancana — June 19, 1975 — alleged second in command of the Chicago Mob
“Johnny” Roselli — August 9, 1976 — alleged top figure in the Chicago Mob
Jimmy Hoffa — Teamsters Union Boss, disappeared July 30, 1975, declared dead July 30, 1982
John Favara — disappeared July 28, 1980, declared dead 1983, neighbor who disappeared after a car accident that killed mob boss John Gotti’s 12 year old son Frank Gotti. Favara was the driver of the car.

The history of organized crime in the United States is replete with many more unsolved murders and disappearances. In fact, people often don’t talk — at least not under oath in a court of law — and innocent witnesses often keep silent fearing retaliation from organized crime groups — conspiracies. Circumstantial evidence, suspicions, and rumors abound as is the case with murders such as the assassination of President Kennedy where the phrase “conspiracy theory” is invoked to ridicule and stigmatize those same sort of circumstantial evidence, suspicions, and rumors.

The empirical data from murder statistics and the history of murders is that criminal conspiracies are common — at least fourteen (14) percent of murders — and often escape successful prosecution. A high fraction of events where the phrase “conspiracy theory” is used to ridicule and stigmatize suspicions or even evidence of a conspiracy are also murders or possible murders: political assassinations, terrorists incidents, mass killings, suspicious accidents and suicides.

Are there high level international conspiracies?

High level international criminal conspiracies involving seemingly independent and even competing groups such as companies have been demonstrated in court in a number of cases.

Archer Daniels Midland (ADM), Pfizer (yes the COVID vaccine company), and several other companies in Japan and Korea engaged in an illegal criminal conspiracy to fix the price of citric acid — a key ingredient of Coca-Cola and other sodas — and other food additives such as lysine in the 1990’s, probably beginning in the 1980’s or earlier. At this time, ADM and Pfizer dominated world production and sales of citric acid, an important and lucrative product due to its key rol in Coca-Cola and other sodas.

See for example:

https://www.justice.gov/archive/atr/public/press_releases/1996/1030.htm

https://www.researchgate.net/publication/227645450_The_global_citric_acid_conspiracy_Legal-economic_lessons

https://link.springer.com/chapter/10.1007/3-540-34222-2_5

“Archer Executive Testifies to Fixing Citric Acid Prices” by Kurt Eichenwald, New York Times, August 13, 1998

“The Informant: A True Story” by Kurt Eichenwald, Crown, October 15, 2001

Rats in the Grain: The Dirty Tricks and Trials of Archer Daniels Midland, the Supermarket to the World, by James B. Lieber, Basic Books, January 10, 2002

Antitrust investigations have demonstrated several cases of international price fixing cartels for various products. Some price fixing arrangements are open agreements such as OPEC, the Organization of Petroleum Exporting Countries, and the proration of oil production in Texas by the Texas Railroad Commission. https://rrc.texas.gov/about-us/rrc-history/

Governments can and do provide cover, sanction, and legitimacy for price fixing arrangements that would be illegal and criminal otherwise.

Do Cartels Get Away with Illegal Price Fixing Agreements?

Some would argue that because ADM, Pfizer, and the other conspirators were caught, they did not get away with the crime and this somehow proves no one is able to get away with a criminal conspiracy. This, of course, is demonstrably not true for unsolved murders. In contrast to murders, where the crime is usually clear due to a dead body and signs of violence, proving a rise in prices is a crime — is due to a criminal conspiracy is inherently difficult.

There are a number of cases of mysterious increases in the price of various products and services, circumstantial evidence of price fixing and collusion as defined in antitrust law. A notable recent example is the remarkable increase in the price of insulin, a product produced in vats using well established genetically engineered bacteria. There is no obvious shortage of a key ingredient or other explanation.

See for example:

https://www.finance.senate.gov/chairmans-news/grassley-wyden-release-insulin-investigation-uncovering-business-practices-between-drug-companies-and-pbms-that-keep-prices-high

Despite widespread plausible suspicions, proof of an insulin price fixing agreement similar to the citric acid price fixing agreement remains elusive.

Another possible example is the marked rise in oil prices following a series of mergers of major oil companies in the late 1990’s and early 2000’s.

British Petroleum Amoco Merger: (August 1998): https://money.cnn.com/1998/08/11/deals/bp/

Exxon Mobil Merger (November 1999): https://money.cnn.com/1999/11/30/deals/exxonmobil/

Conoco Phillips Merger (November 2001): https://money.cnn.com/2001/11/19/deals/phillips_conoco/

Conclusion

Conspiracy theories are rational in many cases. Historical data on unsolved murders demonstrates that proving a conspiracy beyond a reasonable doubt is difficult however. Criminal conspiracies are NOT like laboratory experiments or astronomical observations. The belief common among intellectuals that “conspiracy theories” are inherently irrational or so unlikely as to be essentially inherently irrational is demonstrably false.

(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video] CDC Provincetown COVID-19 Outbreak Data Does NOT Show Vaccines Working

https://odysee.com/@MathematicalSoftware:5/cdc-provincetown-covid-19-outbreak-data-does-not-show-vaccines-work:3

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The Provincetown, Massachusetts (Cape Cod, Barnstable County) COVID-19 outbreak does NOT prove that the COVID-19 vaccines are working as widely claimed in the mainstream media. (See the CDC Report “Outbreak of SARS-CoV-2 Infections, Including COVID-19 Vaccine Breakthrough Infections, Associated with Large Public Gatherings — Barnstable County, Massachusetts,” https://www.cdc.gov/mmwr/volumes/70/wr/pdfs/mm7031e2-H.pdf)

Article: http://wordpress.jmcgowan.com/wp/article-us-cdc-provincetown-covid-19-outbreak-data-does-not-show-vaccines-work/

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(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Article] US CDC Provincetown COVID-19 Outbreak Data Does NOT Show Vaccines Work

The Provincetown, Massachusetts (Cape Cod, Barnstable County) COVID-19 outbreak does NOT prove that the COVID-19 vaccines are working as widely claimed in the mainstream media. (See the CDC Report “Outbreak of SARS-CoV-2 Infections, Including COVID-19 Vaccine Breakthrough Infections, Associated with Large Public Gatherings — Barnstable County, Massachusetts,” https://www.cdc.gov/mmwr/volumes/70/wr/pdfs/mm7031e2-H.pdf)

Media reports have often claimed that because no deaths were reported during the outbreak this proves the COVID-19 vaccines work. These media reports often make a comparison to deaths in January of 2021 when widespread vaccination began without actually citing or discussing estimates of the infection fatality rate (IFR) of COVID-19, let alone discussing the seasonality of the infection fatality rate of respiratory diseases.

Note that the infection fatality rate (IFR) of a disease is different from the case fatality rate (CFR) often reported in the mass media, sometimes as several percent for COVID-19 cases. The Case Fatality Rate is generally much larger than the infection fatality rate for many diseases and for COVID-19. Even medical experts who should know better mistakenly conflate CFR and IFR. IFR includes unreported and asymptomatic “cases” whereas CFR does not, hence the lower rate.

Both CFR and IFR can be difficult to compute, estimate, and compare because of varying definitions of “cases” and properly identifying the number of unreported cases with actual symptoms and asymptomatic infections. The COVID-19 pandemic has involved rapidly changing case definitions and poorly validated tests (PCR, antigen, antibody, and even other experimental tests).

Because the CDC was able to identify asymptomatic cases during the Provincetown outbreak, the IFR should be used to evaluate the published data, although the CDC may have missed some, possibly many asymptomatic cases.

Overall, 274 (79%) vaccinated patients with breakthrough infection were symptomatic.

CDC Report, Outbreak of SARS-CoV-2 Infections, Including COVID-19 Vaccine Breakthrough Infections, Associated with Large Public Gatherings — Barnstable County, Massachusetts, July 2021, Page 1

Similar claims that the outbreak proves the vaccines work have been made regarding the COVID-19 outbreak in heavily vaccinated Israel, so far involving a large fraction of vaccinated persons — often reported as 95% of the COVID-19 cases in Israel.

The CDC Provincetown, Massachusetts (Barnstable County, Cape Cod) data is analyzed in detail below.

According to the CDC report, 469 Massachusetts residents were identified with COVID-19 attributed to attending public events in “a town in Barnstable County, Massachusetts.” This is Provincetown on Cape Cod (Barnstable County, MA is Cape Cod). Of these, 346 (about 74 %) had been fully vaccinated with COVID-19 vaccines: both shots of the Moderna vaccine, both shots of the Pfizer vaccine, and the one shot J&J vaccine at least 14 days prior to infection with COVID-19. One-hundred and twenty-three (about 26 %) were unvaccinated. According to the CDC report, 69% of Massachusetts residents are fully vaccinated against COVID-19. Four fully vaccinated persons were hospitalized and only one unvaccinated person was hospitalized.

The ratio of vaccinated to unvaccinated infected persons (74%) is statistically indistinguishable from the 69% of vaccinated persons in Massachusetts. The most straightforward interpretation of this ratio is that the vaccine failed completely. If the vaccine substantially reduced the risk of infection, we would expect all or most of the cases to be in unvaccinated persons.

It is possible to explain away the ratio of infections by arguing that the vaccinated persons were overconfident, believing the media hype implying the vaccines confer full immunity (“safe and effective” repeated without qualification by most of the mass media). Hence they may have taken risks that spread the disease despite the vaccine, offsetting the benefits of the vaccine. It is clearly remarkable that this exactly offset the effect of the vaccines to produce the same ratio as the fraction of unvaccinated in the general Massachusetts population (the 69%).

The ratio of hospitalized vaccinated to unvaccinated persons (80%) is also statistically indistinguishable from the 69% of vaccinated persons in Massachusetts. The implied hospitalization rate of the vaccinated is 1.16% The implied hospitalization rate of the unvaccinated is only 0.81%. The hospitalization rates are statistically equivalent. Hospitalization is an imperfect proxy for severity of the disease. Consequently, the reported data do NOT show that the vaccines reduced the severity of the COVID-19 disease, contrary to claims by the US CDC, mainstream media, and others.

It is harder to explain away the hospitalizations, a proxy for serious COVID-19. The data gives statistically the same hospitalization rate for vaccinated and unvaccinated persons once infected. Again, however, one could argue the unvaccinated are healthier than the vaccinated to explain the absence of a preponderance of hospitalizations in the unvaccinated. In other words, very healthy persons are correctly less worried about handling a COVID-19 infection without the vaccine and refrain from taking the experimental, largely untested vaccine at this time.

The infection fatality rate (IFR) of COVID-19 (see — for example — https://www.who.int/bulletin/volumes/99/1/20-265892.pdf, https://pubmed.ncbi.nlm.nih.gov/33289900/) is generally estimated as only a few tenths of a percent for “young” (under 70) healthy persons — most of this in persons over 40. The Provincetown COVID-19 outbreak involved July 4th holiday party-goers, generally a young, healthy group. Using an IFR of 0.3%, we might naively expect about 1.2 deaths on average with an uncertainty of 1 death. Hence the absence of even one death in the Provincetown data is hardly surprising and does NOT show that the vaccines are working — even without considering the seasonality of respiratory diseases.

The incidence and mortality of respiratory diseases is seasonal with more infections, cases, hospitalizations, and death in January than in July. The reasons for this pattern are not understood, although it is often attributed to spread of the diseases among school-children in the United States. The sinusoidal — pendulum-like — variation shows no sign of a step up when school opens in the fall or a step down when schools close in the spring/early summer. The pattern suggests the variation is directly or indirectly driven by the Sun.

A number of causes for the seasonality of respiratory diseases have been suggested including vitamin D — which is involved in the immune system — production by sunlight, destruction of the respiratory disease causing organisms by sunlight and specifically the UV light in sunlight, unexplained benefits of sunlight other than vitamin D production, less energy diverted to staying warm when the Sun is stronger, and lower absolute humidity during the cold winter in many regions (NOT ALL) causing longer persistence in the atmosphere of aerosol particles with viruses and sometimes bacteria. In 2020, the COVID outbreak was highly seasonal in most nations with the exception of a surge in the summer in parts of the United States, possibly associated with the George Floyd/Black Lives Matter mass protests.

In conclusion, the CDC’s Provincetown COVID-19 outbreak data does NOT show the vaccines are working — to reduce infections, reduce severity of the disease, or prevent death. The statistics for serious cases of COVID-19 in both the unvaccinated and vaccinated persons are quite small — only five persons (four fully vaccinated, one unvaccinated) hospitalized and no deaths. The lack of deaths is not surprising given the low infection fatality rate (IFR) of COVID-19. Much larger statistics are needed to properly estimate any benefits or harms from the vaccines.

(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).