#predictions

mudflap@diaspora.psyco.fr

You are the #carbon they want to eliminate:

#Climate #doomsday #predictions have been presented by establishment paid #scientists and activist hysterics for decades, and not a single one of these predictions has ever come true. For example, in the 1970's climate scientists predicted a “new ice age” by the year 2000 and this nonsense scenario was spread widely by the #media. Then they claimed that “acid rain” would kill off life in freshwater lakes in the 1980s; but that never happened. After that, the climate #cult switched over to the #globalwarming narrative, predicting that the ice caps would melt and rising seas would “obliterate nations” by the year 2000. Obviously, this never happened.
.
In the year 2000, scientists at the Climate Research Unit in Britain stated that snowfall was a “thing of the past” and that the next generation would not know what snow was. In 2008 #NASA scientists argued that the Arctic would be “ice free” by the year 2018. The list goes on and on, and it would be hilarious if the people that made all these faulty predictions were not still influencing government policies, but they are.
...

The real enemy then is humanity itself.

~ https://www.zerohedge.com/geopolitical/climate-change-dictates-are-self-destructive-also-part-bigger-agenda

#Agenda2030 #GlobalWarmingHoax #Hoax #ClimateCult #2022-07

dredmorbius@joindiaspora.com

India’s Rising Omicron Wave Brings a Grim Sense of Déjà Vu

... The metropolis of Mumbai on Wednesday reported more than 15,000 new infections in 24 hours — the highest daily caseload since the pandemic began, beating the city’s previous record of about 11,000 cases during the second wave in the spring. In New Delhi, the number of daily infections increased by nearly 100 percent overnight.

The sheer size of India’s population, at 1.4 billion, has always kept experts wary about the prospects of a new coronavirus variant. In few places around world was the toll of Delta as stark as in India. The country’s official figures show about half a million pandemic deaths — a number that experts say vastly undercounts the real toll. …

This confirms what I'd noted earlier in eyeballing NY Times Covid data.

The data show reported cases doubling every 3 days, typical of other Omicron outbreaks.

Data for 4 Jan 2020 were 58,097 cases. Given doubling, we'll likely see:

  • 120k/day 7 Jan
  • 240k/day 10 Jan
  • 500k/day 13 Jan
  • 1m/day 16 Jan

By end of month, so long as that trend doesn't break, numbers could rise to 16--32 million per day.

I'm not finding data on Omicron fatality rates. The COVID-19 case fatality rate overall has been 1.86%
https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

Even at 0.1% to 0.01%, with a billion cases, India could be looking at 100k -- 1m deaths overall, as well as other severe economic and technical impacts, including an overwhelmed healthcare system.

https://www.nytimes.com/2022/01/05/world/asia/india-omicron-coronavirus.html

#Covid19 #India #Omicron #Predictions

dredmorbius@joindiaspora.com

COVID-19: US surpasses 1 million daily cases. India begining to rise

Just noting milestones and trends.

The latest daily new-cases total exceeds 1 million people, with the 7-day average running about 500k.

I'm also seeing India starting to tick upwards, though case counts remain generally low. The increase presently is localised to Mizoram province.

My concern with India is that when Omicron does take hold, spread will be exceedingly swift, reporting quality low, and vaccination rates low (presently 45% nationwide). Even with Omicron's milder severity, with near-universal exposure, deaths could approach or exceed 1 million.

Other warm-weather regions, including Puerto Rico and Florida, suggest that spread could be very high --- Omicron seems to favour air travel, indoors-gathering, and warmer weather.

https://www.nytimes.com/interactive/2021/world/india-covid-cases.html
https://www.nytimes.com/interactive/2021/us/covid-cases.html

#COVID19 #India #Predictions

dredmorbius@joindiaspora.com

COVID-19: Prediction regarding US Omicron response: More lockdowns

Several recent observations by John Campbell, RN, PhD come to mind:

  • In the UK, Omicron cases are doubling with a period of 2.3 days.
  • Though symptoms tend to be mild and hospitalisations are low (1/10th the rate of earlier waves in South Africa) at about 1% of all cases, a small fraction of a very large number ... is still a large number.
  • Overwhelming hospital services means all other health issues are affected.
  • The UK is likely 2--4 weeks ahead of the US in its COVID response.

From South Korea, news that strong quarantine measures are again in effect:

South Korea says it will reimpose curfews on businesses and tighten social distancing rules as the number of COVID-19 infections and severe cases reach record highs.

https://www.aljazeera.com/news/2021/12/16/s-korea-reimposes-covid-19-curbs-amid-mayhem-at-hospitals

I expect to see a hard lockdown in the UK within days. It should have already occurred in my view. Then again, the UK seem to be wanting for intelligent leadership. And parties. And electorates.

Which would suggest hard lockdowns in the US within 2--4 weeks.

This has been rejected until recently by President Biden (on November 30, though Dr. Fauci has been more circumspect, "It’s really too early to say. We just really need to, as I’ve said so often, prepare for the worst. It may not be that we’re going to have to go the route that people are saying."

My expectation is that we'll see prospects floated in coming days and possibly implemented sometime in the next 2--6 weeks. The floating being as sudden lockdowns are, as has been observed, disruptive. That said, we've been through this a few times and should be able to deal with it again.

I would like to see some of the protections from previous rounds, including measures such as eviction moratoria, restored.

As usual, this is a lay opinion, but based on experiences elsewhere, momentum, growth, and concerns, this seems fairly likely.

I'll note that my earlier prediction for a fall increase in cases has, other than Omicron, turned out milder than predicted. Omicron has been the spice in the punch, however.

#Covid19 #Predictions #JohnCampbellRNPhD

danie10@squeet.me

Arthur C. Clarke (Sci-Fi Writer) predicting ebooks, remote working, etc back in 1976

In 1976, AT&T and MIT held a conference on futurism and technology, attended by scientists, theorists, academics and futurists. This interview with Clarke during this conference is remarkably prescient—especially about the evolution of communications systems for the next 30+ years.

The interview was conducted for an episode of a Bell System news magazine, but this is the raw interview footage.

Watch at Interview with author/futurist Arthur C. Clarke, from an AT&T-MIT Conference, 1976

#technology #futurist #predictions #arthurcclarke #scifi

Image/photo

Arthur C. Clarke, science fiction author and futurist, crossed paths with the scientists of the Bell System on numerous occasions. In 1945, he concurrently, ...


https://gadgeteer.co.za/arthur-c-clarke-sci-fi-writer-predicting-ebooks-remote-working-etc-back-1976

dredmorbius@joindiaspora.com

COVID-19 and the Lindy Effect

As with most of my writings on this topic, speculation, of varying levels and quality of informedness.

Looking at the spread and rise of Covid cases once again, now driven by the Delta variant (with others emerging: Gamma and Lambda have been mentioned), the ongoing resistance of significant populations to vaccination, and the sheer unavailability of vaccines to much of the world, as we're looking at the third year of the epidemic (first cases having been traced to September/October 2019): My prediction is that COVID-19 will be a major health threat worldwide for at least the next two to three years, and quite possibly much longer.

The Lindy Effect is:

a theorized phenomenon by which the future life expectancy of some non-perishable things, like a technology or an idea, is proportional to their current age. Thus, the Lindy effect proposes the longer a period something has survived to exist or be used in the present, it is also likely to have a longer remaining life expectancy. )*

https://en.m.wikipedia.org/wiki/Lindy_effect

The applicability to epidemiology is indirect, though several basic mechanisms suggest at least a rough fit, including the number of outstanding cases, transmission rate, mutation rate(s), and the availability and adoption of countermeasures. All point to at least as much time ahead of us as behind, in my (again: very lay-person) view.

There's some evidence that this view is gaining adoption elsewhere:

"As delta surges, Bay Area reaches realization that COVID 'will be with us chronically'"

Eliminating the virus is probably not possible. This summer surge may simply be a bump on the rough path toward learning to coexist with COVID.

“We’re going to have to live with this for a while,” said Dr. Yvonne Maldonado, an infectious disease expert at Stanford. “And we are reaching the point where people have to just settle into that. We have to get back to some kind of a normal life. We can’t keep living like this. But normal life now may be different.”

https://www.sfchronicle.com/health/article/As-delta-surges-Bay-Area-reaches-realization-16337576.php

Forgiving the article's parochialism, if the epidemic is chronic in the San Francisco Bay Area, it is chronic globally.

The good news is that we have vaccines, and the ability to create new ones virtually instantly. The mRNA techniques used to create the current set of Covid vaccines produced candidates within days of sequencing the virus, early in the pandemic. Delays in distribution have been on account of both testing to confirm both safety and efficacy, and scaling production to tens of billions of doses necessary. We also have more effective treatments, ongoing monitoring, detection, and reporting, and public health measures of simple but effective natures (masks, handwashing, quarantines). These work if they can be and will be deployed and adhered to.

The bad news is that there are idiots, and an entire industry and conspiracy of disinformation sowers, doing their damndest to defeat medical science, and to a large extent succeeding. We've also got a disease that's know to mutate, and will likely do so in directions that maximise its own propensity to spread more broadly, particularly among populations that have been less vulnerable previously (Africa is largely youthful, which at least to date has been a strength), and possibly in ways that breech our defences (masking, barriers, disinfection, vaccines). Severity is something of a wildcard --- diseases which kill their hosts are actually not great fits, but in the short run at least, there's little disadvantage in doing so, and Covid's mortality net net has been relatively high.

#covid19 #LindyEffect #Predictions

dredmorbius@joindiaspora.com

If Software Companies Ruled the World (1987)

... Where the shmoo-factor comes in and software executives begin to grit their teeth is when a PC user decides to make a copy of a commercially-produced program for a friend. Suddenly there are two programs where there once was one, and there's a good cha nce that the recipient of the copied disk will never break down and buy his own legitimate copy. This scenario, which is repeated daily all over the world, is the bane of the software industry, which contends it is losing millions of dollars in potential sales through this penny-ante thievery. ...

https://www.jaykinney.com/Texts/shmoo.html

#software #copyright #unintendedConsequences #licensing #WholeEarthCatalog #WholeEarthReview #1987 #satire #predictions

winston_smythe@pod.asap-soft.com

UK's #Professor "#Lockdown" #Ferguson has made many odd #predictions over the years - resulting in millions of #animals being #slaughtered for political reasons

I encourage you to watch this #documentary.

Full documentary here: https://www.bitchute.com/channel/winstonsmythe/

It pulls no punches about how the #slaughter was to help Tony #Blair's party gain re-election.

In 2002, Ferguson predicted that, by 2080, up to 150,000 people could die from exposure to #BSE (mad cow disease) in beef. In the U.K., there were only 177 deaths from BSE.

In 2005, Ferguson predicted that up to 150 million people could be killed from #bird flu. In the end, only 282 people died worldwide from the disease between 2003 and 2009.

In 2009, a government estimate, based on Ferguson’s advice, said a “reasonable worst-case scenario” was that the #swine flu would lead to 65,000 British deaths. In the end, swine flu killed 457 people in the U.K.

Last March, Ferguson admitted that his #Imperial College model of the COVID-19 disease was based on undocumented, 13-year-old computer code that was intended to be used for a feared #influenza pandemic, rather than a #coronavirus. Ferguson declined to release his original code so other scientists could check his results. He only released a heavily revised set of code last week, after a six-week delay.

National Review - https://web.archive.org/web/20200617131537/https://www.nationalreview.com/corner/professor-lockdown-modeler-resigns-in-disgrace/

Further reading:

https://web.archive.org/web/20200617131753/https://www.telegraph.co.uk/news/2020/03/28/neil-ferguson-scientist-convinced-boris-johnson-uk-coronavirus-lockdown-criticised/

https://web.archive.org/web/20200616205130/https://www.bbc.com/news/science-environment-13299666

Finally:

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