“The third wave ended when Israel rolled out its stunning vaccination campaign. And the fourth wave was stopped short by the booster shots.”
Omicron wave will only end after masses are infected – analysis – The Jerusalem Post
Israel followed the same Farr Curve as everyone else. There is no indication the vaccines did anything other than to corrupt nearly every mainstream news outlet in the world.
Arctic sea ice extent is just below 2014 and the second highest in the past eighteen years.
Charctic Interactive Sea Ice Graph | Arctic Sea Ice News and Analysis
Cold northerly winds over the Bering Sea will likely push the extent above 2014 during the next week.
NOAA/G02135/north/daily/images/2021/12_Dec/N_20211229_extn_v3.0.png
https://www.ventusky.com/?p=65.9;-137.3;4&l=temperature-2m&t=20211231/21
Meanwhile,
“Melting Arctic ice will have catastrophic effects on the world, experts say ….. If there is any doubt about climate change, look no further than the coldest regions of the planet for proof that the planet is warming at unprecedented rates, experts say.”
Melting Arctic ice will have catastrophic effects on the world, experts say. Here’s how. – ABC News
The inventor of the mRNA vaccine has been cancelled by Twitter for talking about mRNA vaccines.
The tangled history of mRNA vaccines
Forty years ago, NASA’s James Hansen showed 0.35C warming from 1880 to 1980 and said 1980 almost as warm as 1940.
NASA has since doubled warming from 1880 to 1980 and made 1980 much warmer than 1940.
The years from 1900 to 1960 didn’t change much, but Hansen created a lot of imaginary warming after 1960.
The 1995 IPCC report showed no troposphere warming from 1958 to 1995.
But they needed a hockey stick to push their scam, so climate scientists agreed to change the data.
COVID-19 success is now defined by injection rate rather than infection rate.
Hearsay and blind trust in authority have nothing to do with the scientific method, facts or truth.
In this video, I document the fundamental failure of academic and government climate science.
Earlier this month, DMI showed Arctic ice volume above the 2004-2013 average. I tweeted about this and copied BBC News, CNN, NPR and the New York Times.
Quite predictably, the data disappeared for three days, and now that it has returned, DMI has massively reduced the amount of sea ice in the Arctic. Much of the thick ice off the coast of Siberia has disappeared.
CICE_combine_thick_SM_EN_20211204.png (728×631)
Rapidly Disappearing Arctic Ice | Real Climate Science
Now, just as Arctic sea ice extent was about to become the highest for the date in the past 17 years, the extent data has disappeared as well. This is what the OSI Arctic and Antarctic sea ice data looked like three days ago.
And this is what it looks like now. All the data after November 4 has disappeared.
ftp://osisaf.met.no/prod_test/ice/index/v2p1/nh/osisaf_nh_sie_daily.txt
According to NSIDC, Arctic sea ice extent is just below 2004 and 2014
Charctic Interactive Sea Ice Graph | Arctic Sea Ice News and Analysis
Some classic YouTube videos on scientific consensus.
The 1995 IPCC report showed no troposphere warming from 1958 to 1995.
This was the data set collected by Jim Angell at NOAA through 2010.
NOAA later rewrote the data set to double warming from 1958 to 2010.
The same thing was done with the satellite data. In 2015, RSS showed that the world had cooled since the beginning of the century.
A Pattern Of Repeated Fraud By Climate Scientists | Real Climate Science
This didn’t suit the agenda, so government scientists declared the “pause” to be invalid.
US scientists: Global warming pause ‘no longer valid’ – BBC News
And Carl Mears at RSS complied by turning the cooling trend into a warming trend.
Wood for Trees: Interactive Graphs
Rather than changing the data, Carl Mears changed the interpretation of the data. After 2016 he removed the blue error range and used the upper bounds of the error rather than midrange of the error.
Note that after 1998, the observations are likely to be below the simulated values, indicating that the simulation as a whole are predicting too much warming.
Climate Analysis | Remote Sensing Systems
He also changed the wording and misspelled satellite.
“Note that after 1998, the observations are likely to be in the lower part of the model distribution, indicating that there is a small discrepancy between the model predictions and the satelllite observations”
I predicted this would happen on March 27, 2015.
Look for the satellite data to be adjusted to bring it into compliance with the fully fraudulent surface temperatures. The Guardian is now working to discredit UAH, so it seems likely that RSS will soon be making big changes – to match the needs of the climate mafia. Bookmark this post.
I made this prediction because Ted Cruz used an RSS graph in a Senate hearing in March of 2015. Carl Mears at RSS then came under intense pressure to make his data match the surface temperature data.
My particular dataset (RSS tropospheric temperatures from MSU/AMSU satellites) show less warming than would be expected when compared to the surface temperatures. All datasets contain errors. In this case, I would trust the surface data a little more because the difference between the long term trends in the various surface datasets (NOAA, NASA GISS, HADCRUT, Berkeley etc) are closer to each other than the long term trends from the different satellite datasets. This suggests that the satellite datasets contain more “structural uncertainty” than the surface dataset.
Ted Cruz says satellite data show the globe isn’t warming
Roy Spencer at UAH made the same prediction on January 9, 2017
“I expect there will soon be a revised TLT product from RSS which shows enhanced warming, too.
Here’s what I’m predicting:
1) neither John Christy nor I will be asked to review the paper
2) it will quickly sail through peer review (our UAH V6 paper is still not in print nearly 1 year after submission)
3) it will have many authors, including climate model people and the usual model pundits (e.g. Santer), which will supposedly lend legitimacy to the new data adjustments.
Let’s see how many of my 3 predictions come true.
-Roy”
