Opinion
CRAZY CAM: THE AIRPORT

Bruce Dowbiggin
Could AI Make Yesterday Into Today For Culture, Sports & Politics?

On a recent trip to the Fredericton Playhouse to see PEI’s splendid The East Pointers we couldn’t help but notice amongst the coming attractions an appearance by the Glenn Miller Orchestra. As far as we know, Miller disappeared over the British Channel in 1944 on his way to play a concert for the troops post D-Day.
Since then a succession of people have carried his musical heritage under the Miller name. Most of them have joined Miller in the great bandstand in the sky. It is safe to say that the number of people who heard anything by Miller himself live are virtually nil. Still, someone is still buying tickets to hear A String of Pearls, Pennsylvania 6-500, Chattanooga Choo-Choo and In The Mood.
Perhaps it was serendipity but seeing that Miller was still a thing came shortly after the arrival of a final Beatles song “Now and Then”. It’s not as long ago as the final Glenn Miller original cut, but “Now and Then” is the first original Beatles music since the 1970s. Which is when this lacklustre John Lennon composition was born from a demo cut by Lennon.
Its provenance has been talked about by Beatles obsessives ever since. Frankly they’d be excited to hear Lennon/ McCartney read the Liverpool phone book. (Which won’t be any less underwhelming than this song.) Now And Then stayed out of the public realm, probably because George Harrison (d. 2001) hated it, and the recording was scratchy at best.
But thanks to the officious Paul McCartney cleaning it up in the studio and AI producing a catchy video to accompany the song “Now and Then” is on the Billboard chart with a bullet. Where it will probably stay for a while. No doubt this artful dodge will put the idea of reviving other dead musical icons into the heads of their colleagues and supporters.
The AI variations already extend past music. “@ilumine_ai This has been my first test of an experiment I’m doing, which is why it might feel a bit rough. It might not seem like it, but this video shows a single, uncut take at normal speed, where I move through a 3D stage that I am generating at will and in real time.”
Can some clever soul use AI to create a new Humphrey Bogart movie using previous material? What about reviving Katherine Hepburn from her many films? Could Glenn Miller suddenly emerge from the mists to lead his band in Fredericton? We already know about The Beatles.
There ramifications, says cartoonist/commentator Scott Adams.. “If you let ChatGPT answer without constraints, it gives you the “approved narrative,” also known as bullshit. In other words, you can use AI to give you any answer you want on political questions by manipulating the allowed “experts.”
No wonder the Screen Actors Guild went on strike this year to protect the properties of stars dead and alive. What security will they have if AI makes them redundant? AI is, in the words of Hunter S. Thompson, “a cruel and shallow money trench, a long plastic hallway where thieves and pimps run free, and good men die like dogs. There’s also a negative side.”
To say nothing of the AI implications for sports. Can AI replicate the greatest of the past? Already there’s a slightly cheesy commercial running in which present-day Wayne Gretzky counsels 18-year-old Wayne Gretzky on the future. But could AI create a better NHL mixing Gretz, Gordie Howe, Bobby Orr and Bobby Hull with the best of today? A league with no injuries, no travel fatigue, no bad coaching? Ditto for the other leagues. An NFL with Joe Montana, an NBA with Michael Jordan, an MLB with Barry Bonds?
In Canadian politics AI could revive Pierre Elliot Trudeau to assist his dimwitted son (“Interest rates are at historic lows,” PMJT, 2020). Bill Davis could bring back the days of Blue Ontario. Ralph Klein could recreate the Alberta Advantage. If someone younger and more charismatic pops up you can use them in the present. With an AI figure waiting in the wings for when the real politicians eventually screw up.
In the US-AI, the leading candidates for U.S. president in 2024 are creakingly old. Democrats are in a lather over Joe Biden’s decrepit state as he hit 81 this week (he’d be 87 when a possible second term ended). Polls show Americans are not fooled by the grinning Amphetamine Joe staggering up the stairs of Air Force One.
Republicans are alternatively exhilarated and exhausted by the prospect of loopy 78-year-old Donald Trump carrying their banner next November. With Trump it’s less age than instability. Were he remotely stable he’d be leading Biden by 15 points in the polls.
In the Senate and House of Representatives octogenarian and nonagenarian members are literally dying at their desks for want of term limits. Across the political spectrum voters and media are asking, “Is this the best we can do?” Some recall the movie Dave where Kevin Kline plays a doppelgänger for a comatose U.S. president. Maybe that might work?
Or what if AI could revive JFK or Ronald Reagan in their primes? Or John McCain and Ruth Bader Ginsberg? “Now and Then” would be an appropriate slogan for re-inserting these tried & true political figures into the present, using their former selves to re-craft today’s arguments. (We’ve seen how it might work since most believe that Biden is simply the conduit for a third Obama term.)
Anything has to be better than two old guys who could’ve heard “I’ve Got A Gal In Kalamazoo” when it was originally released by Glenn Miller in 1942.
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Bruce Dowbiggin @dowbboy is the editor of Not The Public Broadcaster A two-time winner of the Gemini Award as Canada’s top television sports broadcaster, he’s a regular contributor to Sirius XM Canada Talks Ch. 167. Inexact Science: The Six Most Compelling Draft Years In NHL History, his new book with his son Evan, was voted the seventh-best professional hockey book of all time by bookauthority.org . His 2004 book Money Players was voted sixth best on the same list, and is available via http://brucedowbigginbooks.ca/book-personalaccount.aspx
Brownstone Institute
Why So Many Countries Followed China’s Lockdown Example

From the Brownstone Institute
BY
The answer to why countries followed China’s lockdowns is simple. They were told to do so by the World Health Organization (WHO). Why did the WHO tell them to do that? You might want to ask Dr. Bruce Aylward
A novel coronavirus that was 10 times deadlier than the flu had gripped the world in 2019. Without a compass to navigate the Covid-19 pandemic, all lessons learned from previous viral pandemics were thrown out the window. The World Health Organization was adamant, “This is not the flu.” Tony Fauci terrified the US House of Representatives with forecasts of disaster. Global populations were defenseless without a vaccine for the novel coronavirus that no one had ever seen before. The only viable defense at the time was to shut down the world.
China took the lead in lockdowns. Media exported from China showed people dropping dead in the streets. Caskets were piling up. Doors to buildings were sealed to lock in tenants. Throughout the panic, all reasonable alternative assessments of risks from the viral outbreak were ignored, censored, or rejected.
Nevertheless, I wondered whether a video of a person falling down in the street was really representative of the entire population. Were caskets piling up largely due to families fearing to claim them because of contamination with the virus? I noticed that the front doors to my local mall in Ontario, Canada had also been sealed, just like in China apartment buildings, but this was only to control access through a single entrance to the building, not to seal in customers.
My first clue that the emergency response to the outbreak of the coronavirus didn’t seem to make sense was when I heard Fauci tell television audiences that if our response seems to be overreacting, then we are probably doing the right thing. What? Since when is overreacting ever the right thing to do? Do generals win wars by overreacting?
I looked at the numbers that Fauci had presented to the US House of Representatives concerning case and infection fatalities of the coronavirus. They were backwards! His 10-times deadlier prediction was simply a made-up number! This was in March 2020. By May 2020 it was obvious that people were NOT dying at the inflated rate Fauci had predicted.
I published a paper on Fauci’s coronavirus mortality overestimations: Public Health Lessons Learned From Biases in Coronavirus Mortality Overestimation. But when I mentioned all this to my friends, they responded that the lower than predicted deaths just proved the lockdowns were working. Fauci was off the hook. Back to China.
WHO/China Joint Mission on Covid-19
The answer to why countries followed China’s lockdowns is simple. They were told to do so by the World Health Organization (WHO). Why did the WHO tell them to do that? You might want to ask Dr. Bruce Aylward, the Director of the WHO/China Joint Mission on Covid-19 investigating the coronavirus outbreak.
Aylward noticed a precipitous drop in novel coronavirus pneumonia (NCP) in China during February 2020. This was before China adopted WHO’s name of coronavirus disease 2019 (Covid-19). Upon seeing China’s surveillance data, Aylward announced the spectacular findings to the world and told the world to do what China has done and lock down. But he appeared to make a fundamental epidemiological error by wrongly assuming that the association of China’s lockdowns with lower deaths proved the lockdowns were working (just like my friends had told me).
Soon after in March 2020, China published its latest case definitions for NCP (Covid-19). In a nutshell, the definitions showed that no one could be declared to have died of the disease unless they had viral pneumonia (a severe acute respiratory illness), and only if no other virus normally associated with viral pneumonia was present, except SARS-CoV-2.
Coinfections with the coronavirus were not acceptable criteria, and what should have been a broad surveillance case definition with high sensitivity to monitor the spread of the virus within the population narrowed down considerably into an overly specific diagnostic case definition. That pretty much sealed the deal to declare Covid-19 deaths in only single digits for many months during the pandemic throughout China. This super-low outcome impressed Dr. Bruce Aylward enough in February 2020 to implore the world to lock down. Did we ever!
In the meantime, other countries used case and death definitions that went to the opposite extreme of China’s narrow diagnostic definitions, disseminating overinflated surveillance numbers without adjusting the numbers to remove bias. Even Fauci eventually admitted that reported cases and deaths counted WITH the coronavirus are much higher than cases and deaths counted FROM the coronavirus. Ironically, the WHO had previously published material on the correct use and interpretation of surveillance and diagnostic definitions in infectious disease outbreaks. Aylward didn’t appear to get the memo.
There is more to the story. Was this even really a novel coronavirus, or just a novel genetic sequence of the coronavirus showing greater detail than previously available? China supposedly received updated genetic sequencing technology in late 2019. They had abandoned surveillance of SARS in 2003 for lack of technology.
Now they were back in business again by the end of 2019. The team of virologists that reported the genetic sequence of the virus in Wuhan noted that it would be necessary to investigate the epidemiological evidence to guide infection control responses. Who has time for that? Shut it down!
If the novel coronavirus isn’t really so novel, this would explain why the lockdowns didn’t work. We had already known that lockdowns don’t work in other viral pandemics. Even China eventually gave up its Zero Covid Policy after it was obvious that lockdowns weren’t working. My friends owe me some explanations to justify their lockdown views. Maybe Fauci isn’t off the hook after all.
For more information on biases in Covid-19 case and death definitions, see my peer-reviewed article with cited references: Biases in COVID-19 Case and Death Definitions: Potential Causes and Consequences.
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