Coronavirus 2020



Bannon’s warroom today showed a clip from Fox News - the interview is on Fox with a former state department official (Asher) who says he thinks this came from a Chinese Biolab/bioweapons (first piece after the intro music).

Nothing we haven’t heard before, it is now openly discussed on Fox.

Fox piece:


Telegraph highlighting hospital acquired infections…

Hospital transmission is a ‘major driver of infection that is still being ignored’
Researchers found that 30 per cent of cases in which patients died, or spent time in critical care, were linked to a recent hospital visit

The rest is paywalled - anyone have a sub?


Just as JMC illustrated.


The actual number is much worse. Those were just primary contacts. When you include secondary contacts I expect the number to be almost double. The normal rate is 409% plus for HAP’s. Given the age profiles of those dying.

Very few of the mass outbreaks in care homes are ever investigated they are so common. One of the few that has any literature on it was an outbreak at a care home outside British Columbia in 2003. They only reason it was seriously investigated was because they thought it was a SARs CoV 1 outbreak. Turned out to be just a normal OC43 human corona virus outbreak. But only after the PCR tests had returned false positives for SARs Cov 1.

Which gave rise to this interesting paper at the time…

A story which is being repeated now with the antigen test too.

Turns out general circulation human corona viruses (typical infection rate 1% of the population) often bind quite happily to the SARs CoV 2 test reagents. Both PCR and immuno-chromatography.

99% specificity my arse. When added to real world labs errors more like maybe 90%…


I vaguely know six different people who died of covid in recent months. Five of the cases were caused by family members coming back home at Christmas from around Ireland and abroad. The other was a person who was on their last legs and eventually testing positive on day 6 of their hospital stay and died soon after.

You could probably correlate the annual Winter flu surge to seasonal visits to the elderly.


I’m sorry to hear of any deaths - they’re all sad but not all tragic. But the person you describe as being “on their last legs” and who tested positive surely died with covid and not of covid?


2 Days ago

Today! :whistle:

These appeared to be be Hospital Acquired Infections as opposed to new admissions. If you were a passive observer you might think admissions are going up suddenly. That is not clear from this informational piece.

It seems the HSE are generating many make-work-cases.

Meanwhile, no one died yesterday with or because of, 3rd time so far this year - Is this reporting jitter?


Why are the Provide worried about a surge before Summer?

Did they watch Geert’s interview?


It looks like the HSE are only doing main data entry once a week. And it takes more than a day to enter it. So two days a week high deaths, the rest of week not very many.

With the way they are doing testing most influenza and general circulation corona virus patents will be called “COVID”. As will pretty much all the viral Hospital Acquired Pneumonia. So thats a guaranteed 3K to 4K deaths, no matter what SARs 2 actual does.

As for what happened at the end of last December with regards the huge flood of very false positives for almost two weeks. By looking at the numbers you can see that the private labs took all capacity offline for a day or two (around De 26) then started up a new testing line with more than double the daily testing rate of what they were doing before. And once they doubled the capacity the number of “positives” quadrupled for several weeks. From an already very high number.

Just looking at the most recent actuary blog posting. If you look at the first graph it very much looks like at least 80% of the January spike in deaths was due to simple displacement of the previous few months deaths. The lockdown caused compression of the curve. Remove the constraint and the curve very quickly return to trend.


Back in Feb Leo Loads of Mates in Israel confirmed:





This is worth watching

Award-winning virologist, Dr. Sucharit Bhakdi elucidates why the rushed #Covid19 vaccine trials represent the world’s largest medical experiment perpetrated on the globe in human history. Dr. Bhakdi details why the public should not only doubt it’s efficacy, but also be wary of unstudied dangers.


January 2021

Tanzanian President John Magufuli has warned the country’s health ministry against rushing into embracing the Covid-19 vaccines promoted by foreign companies and countries.

Magufuli cast doubt on the global urge to develop Covid-19 vaccine claiming that little has been done to help cure other diseases like tuberculosis, HIV-Aids, malaria among other infections.

“You should stand firm. Vaccinations are dangerous. If the white man was able to come up with vaccinations, he should have found a vaccination for Aids by now; he would have found a vaccination of tuberculosis by now; he would have found a vaccination for malaria by now; he would have found a vaccination for cancer by now,” he said.

“The Health ministry must know that not every vaccination is meaningful to our nation. Tanzanians must be mindful so that we are not used for trials of some doubtful vaccinations which can have serious repercussions on our health,” he added.

Read more:

He Dead.


So sad. He was the one who tested the paw paw fruit etc. for COVID.

Pic of the VP, now presumably the new President.


'Cause he knows the score.


Hugs all round at the Grammys from Taylor!!!


Video from Nov, 2020.

Jennifer Zeng 曾錚 @jenniferatntd

So evil! And he admitted the purpose of releasing #COVID19 #CCPVirus: we can catch up with the #US ahead of time, we can force the #US to die.


: this evil person is a visiting scholar in the US. See his bio in the thread.

Video @


The Great Love of 7 Day Averages

Below is the style of info being published in Irish media, via breaking news:


Data source -

So far these are the only available provid injection numbers available in a useable format that I have found and do not appear to be complete.

Let’s plot them again minus the 7-Day average, and actually break out the experimental injections by as experimental injection #1 and experimental injection #2.

Fascinatingly the dataset starts with a higher number of #2 injections Vs #1 injections, that indicates we are missing a whole heap of data for the roll out of the experimental injections, most probably int he number #1 set, this is approx. the first month of 2021 missing and maybe a little fo February.


So where are the experimental injection numbers administered for that period?

Maybe this dataset is rubbish and a better source is needed.

However, from what I gather the experimental injections began Dec 30th, 2020, approx 10 days later some fairly catastrophic dying for the people dying occurred, and we know this was the highest ever, an absolute Tsunami of Death.

Is it possible that the experimental injection #2 caused the largest spike in death right at end of January, Feb or was it a round of injection #1?

No idea, can not see the data to make any assumptions.

Further the above graph clearly illustrates the very present and low uptake of experimental injection #2, now this might be for a whole host of reasons, it reflects a low roll-out daily rate that we have not the data at the start of 2021, some of those injected with #1 are now dead, many others had such awful experience/reactions etc. etc. and/or were medically been advised against further treatmend were simply reluctant or stopped, but we do not know because we have no idea of the full historic level of experimental injection #1’s.

Even the current number demonstrates there is a total lag in the #2 injection, with approx 306,000 people who received #1 ready and waiting to get #2 - the question is will they?

Back to the missing data for the #1 experimental injections, based on the latest headline figures for those who have received #1 injection, then to-date there may be missing data for approx. 160,000 #1 injections, i.e. unaccounted for in that dataset.

This is a quick tally, so it is a guide but overall the numbers do not stack up.

A full dataset starting at the very beginning would be great.


Timing Is Everything

For the purposes of illustrating the time line and to show the gap in data and any other patterns. The graph timeline starts Dec 1, 2020 onwards, using the latest numbers - be great to get that full dataset of the experimental injections starting from Dec 30th, 2020 onwards.