Reality Vs. Covidia

Rob Slane writes at his blog Reflections on Another Year of Covidian Lies and How the Truth Will Ultimately Prevail.  H/T Tyler Durden Excerpts in italics with my bolds and some added images.

As we come to the end of the second year in Covidia, I reflect on just how much the instigators of the entire scam have managed to reshape reality in an amazingly short timeframe, such that what was considered normal 12 months ago is now considered abnormal, and what was considered abnormal 12 months ago is now seen as normal.

For instance, a person would have been called a Conspiracy Nut, had one predicted 12 months ago that after “vaccinating” the elderly and those considered vulnerable, which was the “route back to freedom”, the Johnson Regime and countless others around the world would:

  1. Proceed to push the injection onto all adults
  2. Move on to getting it into children
  3. Make thousands jobless who do not wish to partake in the experiment
  4. Begin the introduction of Vaccine Passports
  5. Announce that the allegedly 95% effective products wane so quickly they’ll need to be taken every few months
  6. Start talking about the possibility of mandatory jabs
  7. Reintroduce the restrictions that these injections were supposed to do away with

 Yet a year later the same person is called a Conspiracy Nut for opposing these very things they got called a Conspiracy Nut for predicting, but which are now reality.

There is something horribly ironic, and also deeply chilling about this. For it shows not only how easily manipulated so many people are, but also just how easy it has been for the Covidian Regimes to reshape reality such that millions have come to accept as normal the very things they would have dismissed just months earlier as the product of deranged minds.

The last two years has felt like people are living in parallel universes, so much so that it’s almost tempting to wonder whether Zuckerberg’s hideous Metaverse is already a thing, with millions having unwittingly entered it in early 2020 without noticing.

Metaverse Vs. Real World

In the Metaverse, SARS-CoV-2 is a new Black Death that kills indiscriminately no matter what age. In the real world, it is a virus that has a 99.9% Survivability Rate, and there are effective early treatments available to the 0.1% for whom it might potentially be lethal.

In the Metaverse, Lockdowns of healthy people are how we’ve always dealt with outbreaks of transmissible illnesses. In the real world, other than a hastily ended five-day trial in Mexico during the 2009 Swine Flu outbreak, the quarantining of the healthy was never been done before the Chinese Communist Party implemented it in early 2020, to be copied all over the world by Governments ignoring their own long existing pandemic preparedness plans.

In the Metaverse, masks are about loving your neighbour because wearing them stops you passing on the virus you don’t have to others. In the real world, masks do not and cannot stop viral transmission, and thus they are a not a health aid, but a political and psychological tool of subjugation and dehumanisation, designed to humiliate and perpetuate fear.

In the Metaverse, a public health crisis caused by a virus has zero medical advice given out to people, but just a relentless barrage of talk about cases, hospitalisations and deaths, with all knowledge of effective early treatments ruthlessly suppressed. In the real world, a public health crisis caused by a virus would see Governments, health officials, and doctors recommending cheap and effective ways of boosting one’s immune system, such as Vitamin C and D, Zinc, Quercetin, sunshine and plenty of exercise and fresh air.

In the Metaverse, people who aren’t ill can spread the illness they don’t have, and so must take a test which cannot diagnose illness and which gives huge numbers of false positives, after which they must stay in their house for a prolonged period to stop the virus they don’t have from spreading. In the real world, if you’re well, you go about your daily life; if you have what are called “symptoms”, you stay home and rest.

In the Metaverse, the injection of billions of lipid nanoparticles containing mRNA, which has never been injected into people before, which tricks the cells into allowing it to enter, which then causes billions of cytotoxins to be produced in cells throughout every organ, and which the manufacturers have indemnity but no proper safety data for, is hailed as a saviour. In the real world, this is the most dangerous, reckless medical experiment ever performed on masses of people without their knowledge of what they are being given, and the long-term consequences could be unimaginably disastrous, as Professor Sucharit Bhakdi explains in this horrifying warning.

In the Metaverse, a product which doesn’t prevent infection, doesn’t provide immunity, and which requires top-ups every three months, is a vaccine, even if it needs the dictionary definition of what a vaccine is to be changed to accommodate it. In the real world, the Groucho Marx rule about ducks applies — if it looks, walks, and quacks like a duck then it probably is a duck. Thus if it doesn’t stop infection, doesn’t provide immunity, and wanes after 10 weeks, then it probably isn’t a vaccine.

In the Metaverse, willfully going along with abnormal, illegitimate and authoritarian rules & behaviours is the way back to normality and freedom. In the real world, willfully going along with abnormal, illegitimate and authoritarian rules & behaviours is about conditioning us to accept abnormality, the end of a law based society, and the long term loss of freedom.

In the Metaverse, bringing in Vaccine Passports for nightclubs and other large venues is about keeping people safe, and of course won’t be extended to other venues. In the real world, Vaccine Passports are a Trojan Horse, firstly to be extended into other venues of much smaller size (as has been the case in many European countries), but ultimately to facilitate the creation of a Digital ID Social Credit Hellhole where your every move and transaction can be tracked, you have credits not money, and freedom as we knew it is a thing of the past.

In the Metaverse, people who refuse to submit to the mass medical experiment only have themselves to blame if they find themselves excluded by law from entering certain venues, doing certain jobs, buying certain goods, and even being able to avail themselves of the basic necessities of life. In the real world, this unscientific, unholy, sinister apartheid system shows that we are edging eerily close to repeating the ugliness and depravity of certain 20th century regimes that we smugly told ourselves we were not capable of repeating, due to our apparent goodness.

It is baffling that people can view what’s going on so differently, but I would point out that all the views in the real world are derived from facts, data, reason, logic and historical examples, whereas all the views in the Metaverse are taken from Government and media propaganda.

One of the exasperating things in dealing with this is that whilst there are an endless potential number of lies that can be told, there is only one truth. And what the Government and media are very skillful at doing is layering lies upon lies upon lies, such that whilst the critical thinkers and data analysts are busy trying to debunk lie number one, lies number two, three, four and following are already being laid on that foundation so that by the time the original lie has been shown to be false, things have moved on and hardly anyone can remember, let alone care about the original claim.

However, the good news is that this is also the Achilles Heel of the Globalist’s narrative. Firstly, the more lies that are told, the harder it is to sustain the story because it can only be kept going by more lies, each of which tends to become increasingly blatant and absurd, such that even those who have been slumbering for two years begin to stir. For instance, if you try to assure the huge numbers of people that have had adverse events from the injection, or who know others that have suffered, that they must get the next one and it’s perfectly safe, clearly you are going to have your work cut out as stark reality highlights the lie in what is being told.

But the other part of this Achilles Heel is this: The Truth will win because The Truth must win. It is The Truth. It cannot not win. Attempting to suppress it is like trying to hold a cork under water. It will always be wanting to get to the surface, and as soon as you tire of holding it and release your grip, that’s what it will do. And so although these lies will continue, and although they will appear to prevail for some time to come, there is coming a time when they will be defeated because The Truth, not lies, is the ultimate reality:

“Truthful lips endure forever, but a lying tongue is but for a moment.” (Proverbs 12:19)

As we look forward to 2022, although we do not know the details of what is to come, because it is very clear that the goal of the Covidian Regimes is to get everybody injected with their mRNA witches’ brew over and over again by carrot or by stick, by hook or by crook, we can be absolutely sure there will be many more lies, many more difficulties, and much more wickedness. Yet we can also be equally sure that these lies will ultimately be defeated, because he who is The Truth (John 14:6) is guaranteed the victory (Revelation 17:14), and he will suffer their lies only so far, until such time as he destroys their unholy, totalitarian, anti-human agenda. There will be a Reckoning. Just make sure that you are on the right side when it comes.

 

 

Arctic Ice New Year 2022

Remarkable Arctic ice recovery continued in December as seen in the animation below:

The month of December 2021 shows Hudson Bay (lower right) starting with only some shore ice and ending virtually ice covered, adding in that basin 925K km2, nearly a full Wadham. Just above Hudson, you can see the Gulf of St. Lawrence icing over, and Baffin Bay adding ice as well, adding 257k km2 to the total.

At the extreme left Okhotsk Sea also starts with shore ice and grows 435k km2, reaching down to Japan.  At the top Kara freezes over and Barents and Greenland Seas add ice to their margins. The graph below shows the December ice recovery

Note the average year adds 2M km2 and 2021 exceeded that by ~200k km2, maintaining its surplus position.  Other years starting far behind drew closer to average by the end.  SII has not yet reported its estimate of day 365.

The table below shows year-end ice extents in the various Arctic basins compared to the 14-year averages and some recent years.

Region 2021365 Day 365 Average 2021-Ave. 2020365 2021-2020
 (0) Northern_Hemisphere 13340119 13052148  287971  12765491 574628 
 (1) Beaufort_Sea 1070776 1070324  452  1070689 87 
 (2) Chukchi_Sea 966006 964420  1586  966006
 (3) East_Siberian_Sea 1087137 1087132  1087120 17 
 (4) Laptev_Sea 897827 897841  -14  897827
 (5) Kara_Sea 932872 883615  49256  879232 53640 
 (6) Barents_Sea 653611 423352  230260  371122 282489 
 (7) Greenland_Sea 620509 579341  41168  592839 27671 
 (8) Baffin_Bay_Gulf_of_St._Lawrence 873269 1003682  -130413  867509 5760 
 (9) Canadian_Archipelago 854685 853276  1409  854597 88 
 (10) Hudson_Bay 1245910 1236600  9311  1257919 -12009 
 (11) Central_Arctic 3221247 3203619  17628  3159881 61366 
 (12) Bering_Sea 358002 408726  -50724  249522 108481 
 (13) Baltic_Sea 61428 30674 30755  7986 53443 
 (14) Sea_of_Okhotsk 478257 382234  96023  479972 -1715 

This year’s ice extent is almost 300k km2 or 2% above average.  Only Baffin Bay and Bering Sea are in deficit to average, more than offset by surpluses elsewhere, especially in Kara, Barents and Okhotsk seas.

Comparing Arctic Ice at End of Years

At  the bottom is a discussion of statistics on year-end Arctic Sea Ice extents.  The values are averages of the last five days of each year.  End of December is a neutral point in the melting-freezing cycle, midway between September minimum and March maximum extents.

Background from Previous Post Updated to Year-End 2021

Some years ago reading a thread on global warming at WUWT, I was struck by one person’s comment: “I’m an actuary with limited knowledge of climate metrics, but it seems to me if you want to understand temperature changes, you should analyze the changes, not the temperatures.” That rang bells for me, and I applied that insight in a series of Temperature Trend Analysis studies of surface station temperature records. Those posts are available under this heading. Climate Compilation Part I Temperatures

This post seeks to understand Arctic Sea Ice fluctuations using a similar approach: Focusing on the rates of extent changes rather than the usual study of the ice extents themselves. Fortunately, Sea Ice Index (SII) from NOAA provides a suitable dataset for this project. As many know, SII relies on satellite passive microwave sensors to produce charts of Arctic Ice extents going back to 1979.  The current Version 3 has become more closely aligned with MASIE, the modern form of Naval ice charting in support of Arctic navigation. The SII User Guide is here.

There are statistical analyses available, and the one of interest (table below) is called Sea Ice Index Rates of Change (here). As indicated by the title, this spreadsheet consists not of monthly extents, but changes of extents from the previous month. Specifically, a monthly value is calculated by subtracting the average of the last five days of the previous month from this month’s average of final five days. So the value presents the amount of ice gained or lost during the present month.

These monthly rates of change have been compiled into a baseline for the period 1980 to 2010, which shows the fluctuations of Arctic ice extents over the course of a calendar year. Below is a graph of those averages of monthly changes during the baseline period. Those familiar with Arctic Ice studies will not be surprised at the sine wave form. December end is a relatively neutral point in the cycle, midway between the September Minimum and March Maximum.

The graph makes evident the six spring/summer months of melting and the six autumn/winter months of freezing.  Note that June-August produce the bulk of losses, while October-December show the bulk of gains. Also the peak and valley months of March and September show very little change in extent from beginning to end.

The table of monthly data reveals the variability of ice extents over the last 4 decades.

The values in January show changes from the end of the previous December, and by summing twelve consecutive months we can calculate an annual rate of change for the years 1979 to 2021.

 

As many know, there has been a decline of Arctic ice extent over these 40 years, averaging 70k km2 per year. But year over year, the changes shift constantly between gains and losses.

Moreover, it seems random as to which months are determinative for a given year. For example, much ado was printed about June and July 2021 melting faster than expected resulting in higher losses of ice extents. But then the final 3 months of 2021 more than made up for those summer losses

As it happens in this dataset, October has the highest rate of adding ice. The table below shows the variety of monthly rates in the record as anomalies from the 1980-2010 baseline. In this exhibit a red cell is a negative anomaly (less than baseline for that month) and blue is positive (higher than baseline).

 

Note that the  +/ –  rate anomalies are distributed all across the grid, sequences of different months in different years, with gains and losses offsetting one another.  Yes, June 2021 lost more ice than the baseline, but about the same as 2017, and not as much as 2012. The gains in Oct.-Dec. 2021 were ~1M km2 above baseline, but were exceeded by the same months in 2019 and 2020.  The bottom line presents the average anomalies for each month over the period 1979-2021.  Note the rates of gains and losses mostly offset, and the average of all months in the bottom right cell is virtually zero.

A final observation: The graph below shows the Yearend Arctic Ice Extents for the last 32 years.

 

 

Year-end Arctic ice extents (last 5 days of December) show three distinct regimes: 1988-1998, 1998-2010, 2010-2021. The average year-end extent 1989-2010 is 13.4M km2. In the last decade, 2011 was 13.0M km2, and six years later, 2017 was 12.3M km2. 2021 rose back to 13.06  So for all the the fluctuations, the net is zero, or a gain from 2010. Talk of an Arctic ice death spiral is fanciful.

These data show a noisy, highly variable natural phenomenon. Clearly, unpredictable factors are in play, principally water structure and circulation, atmospheric circulation regimes, and also incursions and storms. And in the longer view, today’s extents are not unusual.

 

 

Illustration by Eleanor Lutz shows Earth’s seasonal climate changes. If played in full screen, the four corners present views from top, bottom and sides. It is a visual representation of scientific datasets measuring Arctic ice extents.