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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).
Short video reciting the two most famous paragraphs from Frederick Douglass’s most famous speech. Gives some context about the speech before the passage. Frederick Douglass was the leading Black American abolitionist of the 1800’s and also the most photographed American of his time with 160 surviving photographs.
Subscribe to our free Weekly Newsletter for articles and videos on practical mathematics, Internet Censorship, ways to fight back against censorship, and other topics by sending an email to: subscribe [at] mathematical-software.com
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).
Why Listen to this video? There are many heavily promoted dangerous misconceptions about modern “science,” many of which I once shared. These misconceptions generally lead to an excessive and dangerous confidence in scientists and claims labeled as science. These can even cost you your life as happened to many arthritis sufferers who trusted scientific claims about the blockbuster painkiller Vioxx. Many other examples exist, some discussed briefly in the following video. I will discuss over a dozen common misconceptions. The discussion reflects my personal experience and research.
Why me? I have a B.S. in Physics from Caltech, a Ph.D. in experimental particle physics from the University of Illinois at Urbana-Champaign, worked for a successful video compression startup in the Silicon Valley, NASA, HP Labs, and Apple.
TOPICS COVERED
Scientists are people too. Rarely the altruistic truth-seekers depicted in fiction and popular science writing. Egos, glory, greed. Comparable to less revered and even actively distrusted professions such as attorneys. Many examples of error and gross misconduct up to the present day: “Tuskegee Study of Untreated Syphilis the Negro Male” by US Public Health Service and US Centers for Disease Control (1932-1972), Eugenics, Vioxx scandal.
In her 2009 article “Drug Companies & Doctors: A Story of Corruption”, published in The New York Review of Books magazine, (former NEJM Editor-in-Chief Marcia) Angell wrote :[7]
…Similar conflicts of interest and biases exist in virtually every field of medicine, particularly those that rely heavily on drugs or devices. It is simply no longer possible to believe much of the clinical research that is published, or to rely on the judgment of trusted physicians or authoritative medical guidelines. I take no pleasure in this conclusion, which I reached slowly and reluctantly over my two decades as an editor of The New England Journal of Medicine.
Moral character and intelligence (IQ, general intelligence) are uncorrelated.
Since World War II most modern science is funded by the government, by giant bureaucratic funding agencies such as the National Institutes of Health, the National Science Foundation, the Department of Energy, and the DoD in the USA. There was a large transformation of science during and after World War II from small scale, often more independent research to huge government programs.
(Video segment from Eisenhower’s Farewell Address on the danger of the scientific technological elite)
The success of the wartime Manhattan Project which developed the first nuclear reactors and atomic bombs appears to have been a fluke. Most New Manhattan Projects have largely or completely failed including several in physics involving the same people or their students.
There is an illusion of independence in scientists because so many are directly employed by universities such as Harvard, Stanford, Caltech and others, but those universities depend mostly on government funding. High profile academic dissidents such as linguist Noam Chomsky usually stay well away from truly taboo topics often labeled as “conspiracy theories,” e.g. the Kennedy Assassination, “pseudoscience,” or both.
The federally funded academic research system is a pyramid scheme with many, many more Ph.D.’s produced than long term faculty or staff positions, typically 5-20 times more Ph.D.s. Remarkably, leading scientists and scientific institutions continue to claim terrible shortages of scientists despite this. A never ending supply of young, cheap, often starry-eyed workers — graduate students and post-docs.
A well-paid but precarious elite of tenured faculty, principal investigators, senior scientists at government labs who can easily be replaced by a tiny fraction of the younger Ph.D’s if they rock the boat.
Brilliant, well-educated, hard working people sometimes do dumb things, both individually and collectively.
Knowledge of cognitive biases such as “confirmation bias” or “cognitive dissonance” does not immunize people from the biases.
Brilliant, well-educated, hard working people are often better at rationalizing away obviously contradictory evidence or logic and convincing others to accept their rationalizations. Paradoxically knowledge of cognitive biases provides an arsenal of excuses to rationalize away the evidence or logic.
The heavily promoted popular concept of “falsifiability,” usually attributed to Karl Popper, does not work in practice. Scientists can usually (not always) find technically plausible, sophisticated “explanations” for supposedly falsifying evidence. A double standard that sets an impossible obstacle for deprecated views.
The scientific uncertainty excuse. Scientists often make confident statements claiming or implying no or negligible uncertainty. When the statement proves wrong, they will ridicule critics by claiming science is tentative, an ever evolving process, there is an 80-90% failure rate in science, there is uncertainty they never mentioned and by implication everyone should know that. Once the criticism is beaten back often by this ridicule they revert to more confident statements, sometimes grossly contradicting the previous statement.
Modern scientists make heavy use of complex, error-prone, usually computerized mathematical models and advanced statistical methods that are difficult to reproduce or criticize. These methods are prone to finding small signals that rarely exceed the normal variation of the data when small mistakes are made, whether innocently, due to subconscious bias, or intentionally.
The error rate of top science students in school, college, university, academic settings is very low, possibly zero percent for some top students (800 on SAT, a few top students at Caltech, MIT etc.). BUT this does not translate to real world R&D where failure rates are clearly much higher. Scientists selectively cite a failure rate of 80-90 percent when confronted about obvious falures (cost and schedule overruns, failed cancer breakthroughs etc.)
Prodigies/highly successful scientists (tenured faculty etc.) frequently have unusual family backgrounds such as extremely wealthy, politically connected families or an often prominent academic family. Parents know calculus which is a significant hurdle for most “nerds.” Not like Good Will Hunting or The Big Bang Theory where prodigies are portrayed as working class, poor etc. Purely genetic fluke implied.
“Science” (in scare quotes) is promoted by scientists as a religion or substitute for religion, a comprehensive “rational” worldview demanding fealty and paradoxically irrational “rational” obeisance. Extreme examples include the use of the term “God Particle” for the Higgs particle in particle physics, promoted by the late Nobel Laureate Leon Lederman and others. Carl Sagan’s inaccurate account of the destruction of the Library of Alexandria and murder of Hypatia in Cosmos. Often closely tied to militant atheism and materialism despite the strong use of religious and mystical terms and ideas at the same time. Organized skeptics such as CSI/CSICOP, Michael Shermer and others. Dissenting or differing points of view are labeled as anti-science, conspiracy theories, pseudoscience, denialism and other labels.
Carl Sagan, Neil deGrasse Tyson and Hypatia (Debunked):
Conclusion: I’ve discussed over a dozen major heavily promoted, dangerous misconceptions about “science.” If you find some of these hard to accept, perform your own research. I have numerous articles on the false scientist shortage claims, also known as STEM shortage claims, on my web site. I also have articles on the Manhattan Project as a fluke and the Myth of Falsifiability. I will likely post more supporting information on the other misconceptions in the future. Most importantly, true science requires thinking carefully and critically for yourself and not treating something labeled “science” as a religion or substitute for religion, either consciously or subconsciously.
Subscribe to our free Weekly Newsletter for articles and videos on practical mathematics, Internet Censorship, ways to fight back against censorship, and other topics by sending an email to: subscribe [at] mathematical-software.com
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).
Banish computers, smartphones and other devices from your bedroom.
Turn off screens at least an hour before going to sleep.
Wait at least one half hour before turning on screens when wake up.
Avoid smartphone use.
Avoid/minimize other mobile device use such as laptops.
Take social media apps and other non-essential apps off smartphone. Turn off all notifications except messages from live friends, family, and colleagues.
Don’t watch fear/outrage cable news, television, and other video sources such as Fox News, CNN, and MSNBC. If something makes you fear, hate, scorn or ridicule some other group, stop watching.
Completely unplug from computers and Internet one day (or more) per week. Exercise, read a physical book, spend time with friends or family. (If possible)
Set aside limited time periods for ‘bad news’ or other difficult topics. Don’t allow them to be 24/7.
Diversify away from centralized advertising funded sources such as Google and Facebook that use opaque algorithms and teams to manipulate search results or social media feeds.
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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).
It is rational to suspect a conspiracy in some situations. Conspiracies are difficult to prove and difficult to disprove. Proving a conspiracy usually requires a confession by someone in the conspiracy or evidence such as surveillance audio, video, or documents such as a duplicate set of books in an accounting fraud or a diary. People involved in criminal conspiracies who confess are, almost by definition, unreliable witnesses and can often be called into question because of their admitted moral character.
Disproving a conspiracy is usually very difficult, simply because we generally lack reliable 24/7 surveillance of the alleged conspirators. Specific conspiracy scenarios can be ruled out but it is often impossible to comprehensively rule out all plausible scenarios. Thus, it is often necessary to accept a high level of uncertainty in situations where a conspiracy may be involved; even with a high degree of suspicion, certainty beyond a reasonable doubt is often not possible.
What does historical data show about the frequency of conspiracies and how frequently do they elude discovery? These are some numbers from the US Federal Bureau of Investigation (FBI).
The FBI reported a total of 15,129 homicides in 2017, the most recent year for which I was able to locate statistics. Of these, 1,781 involved a single victim and multiple offenders — a conspiracy. Three-hundred (300) involved multiple victims and multiple offenders — a conspiracy. Thus, a total of 2,081 or 13.76 percent involved a conspiracy.
Note that the table lists 5,174 (461 + 4,713) or 34.2 percent with an unknown offender or offenders, presumably unsolved. Thus, a substantial number of murder conspiracies avoid detection and prosecution.
The FBI also gives clearance data for 2017 indicating about 38.4 percent of homicides are unsolved. Note that this seems inconsistent with the 34.2 percent number implied by the Homicides by Victim/Offender Situation table above. The meaning of “clearance” is the subject of some controversy and has different definitions in different crime statistics.
The history of investigations into organized crime where conspiracies have frequently been proven in a court of law includes numerous unsolved murders and disappearances including such famous cases as the murder of reputed mob boss Arnold Rothstein in 1928, the disappearance of Jimmy Hoffa in 1975, the murder of alleged Chicago mob boss “Sam” Giancana in 1975, and many others.
Thus conspiracies do happen and it is rational to suspect them in some situations. The FBI data indicates conspiracies are involved in about 13.76 percent of murders in the US.
(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).
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).