Action4Canada - July 07, 2023


Dr. Peter McCullough： Denmark Research Proves Covid Vax Lethal

Hosted by
Tanya Gaw
Mentioned
Ron Johnson Joe Rogan Schmeling Pfizer Elon Musk McCullough Moderna
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Episode Stats


Length

4 minutes

Words per minute

148.87

Word count

742

Sentence count

72

Harmful content

Hate speech

1

sentences flagged


Summary

Summaries generated with gmurro/bart-large-finetuned-filtered-spotify-podcast-summ .

In this episode, Dr. Kelly reviews a new report from Denmark on the batch-dependent safety of the M.O.V.19 vaccine against M.A.D. (Measles, adenovir, and rubella) virus.

Transcript

Transcript generated with Whisper (turbo).
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
Hosts, guests, and mentioned names generated with spaCy (en_core_web_sm), reconciled against Wikidata.
00:00:00.000 Let's go to the research report from Denmark, and it was published in the European Journal
00:00:08.440 of Clinical Investigation on the batch-dependent safety of the mRNA COVID-19 vaccine.
00:00:16.000 And so why don't you tell us a little bit or a whole lot about what this report revealed?
00:00:22.360 Well, let's set the stage here.
00:00:24.600 We had hints from the U.S. CDC Vaccine Averse Event Reporting System that not all the batches,
00:00:33.960 all the lots of vaccines were the same.
00:00:36.460 There were hints that side effects were piling up in certain lots and not piling up in others.
00:00:42.500 Now, a lot is a large volume of the vaccine that is made at one time, and it's divided
00:00:48.540 into vials.
00:00:49.460 And lots initially could have been, you know, tens of liters, and then later on became much
00:00:56.460 large, you know, hundreds of liters of vaccine material.
00:01:00.100 And it's lipid nanoparticles that can aggregate unstable messenger RNA and other factors.
00:01:06.980 So we had hints in the U.S. data, but enough where Senator Ron Johnson wrote a letter to
00:01:12.640 the CDC and FDA and said, it looks like there's a problem with the lots and presented the data
00:01:18.740 that we had available.
00:01:19.900 It was not peer-reviewed.
00:01:21.640 And one of the shortcomings of the VAERS system is that the lot number is illegible on
00:01:26.000 the vaccine card in a large percentage.
00:01:28.140 So we actually don't know.
00:01:29.980 And of course, in the VAERS system, only a fraction of the adverse events are reported.
00:01:35.460 So VAERS is very limited, but it still looked like there was a problem.
00:01:38.300 We also knew that the Japanese had returned millions of vials to Pfizer and Moderna because 0.70
00:01:46.900 of visible debris in the bottom.
00:01:49.160 And that came out, you know, in the press feeds since the onset of the vaccine campaign.
00:01:54.280 So we knew something was wrong.
00:01:55.660 But then this bombshell report was published by Schmeling and colleagues from Denmark.
00:02:01.760 And Schmeling had every Pfizer lot or batch.
00:02:07.660 So they had the code for everyone and they had every complication because the data system
00:02:12.060 records everything in their national database.
00:02:14.700 So they had it nailed down.
00:02:16.580 This is what they found.
00:02:18.020 There was approximately 32% of all the doses, the first batch group, and this will be shown
00:02:24.880 on the lower part of the slide where there were zero side effects, zero.
00:02:31.020 The line never even got off the baseline as if nothing was injected.
00:02:36.240 Then there was another two thirds or 70% or so where there was a rate of side effects that
00:02:43.100 the more doses given out of that file, they piled up, but it wasn't that notable.
00:02:49.140 And then finally, there was a third batch group or third lot group.
00:02:52.680 And there, the side effects were through the roof.
00:02:56.000 Now, it only represented 4.2% of doses, but we're talking serious things, hospitalization,
00:03:02.380 death, myocarditis, blood clots.
00:03:04.580 You can see that group shown in blue through the roof.
00:03:09.340 And this roughly matched other sources of data.
00:03:12.400 So for instance, our CDC V-safe data, which is a self-reported data on the cell phone, CDC
00:03:19.800 V-safe said 7.7% of Americans take a vaccine.
00:03:24.780 It's so toxic, they have to go to the ER or the hospital in the next couple of days.
00:03:28.680 It kind of fits with this number.
00:03:30.120 It's round about that number.
00:03:32.040 Another data point was a Zogby survey done in the United States this summer of 2022.
00:03:38.020 They found that 15% of Americans have some new disease from taking the vaccine.
00:03:43.160 So again, it fits between that green group and the blue group as shown.
00:03:47.400 So I can tell you, this is convincing.
00:03:50.220 I did share this personally with Senator Ron Johnson, who sent the original letter and
00:03:53.720 said, listen, we clearly have a batch problem.
00:03:56.080 But this explains something that's very important.
00:04:00.160 The toughest question I got when I went on Joe Rogan, and I set all the records for his
00:04:05.580 podcast, Eclipse and Elon Musk, anybody who's come on afterwards.
00:04:09.040 Rogan asked me, he said, okay, Dr. McCullough, if these vaccines are so bad, how come everybody
00:04:13.980 doesn't have a side effect or die?
00:04:15.380 Well, here's the answer.
00:04:17.220 The answer is there's incredible variability.
00:04:20.180 A third of people, nothing happens.
00:04:22.200 Thank the Lord.
00:04:23.500 Two thirds, it's something moderate.
00:04:26.060 And then terribly 4.2%, it can be deadly.
00:04:29.900 Thank you.
00:04:30.760 Bye.
00:04:42.900 Bye.
00:04:43.180 Bye.
00:04:45.320 Bye.
00:04:45.680 Bye.
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00:04:46.900 Bye.
00:04:47.640 Bye.
00:04:49.320 Bye.
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00:04:50.760 Bye.
00:04:52.020 Bye.
00:04:52.160 Bye.
00:04:52.320 Bye.
00:04:54.620 Bye.
00:04:56.100 Bye.
00:04:57.620 Bye.
00:04:58.220 Bye.