Red Ice TV - Only Certain Covid Vaccine Lots Caused All The Deaths, This is Impossible, Exposes Criminal Intent

00:00:00.000 see if we can summarize this for you a little bit and and so you understand what's happening here

00:00:04.240 uh two different people mike yeeden right he's a former um was he was he he was not vp of pfizer

00:00:11.600 was he he was in it was a he was i think vp of the certain uh portion within pfizer uh we've played

00:00:18.480 some clips with him in the past he's been a an outspoken a whistleblower if you will that this

00:00:23.120 is absolutely crazy we're also going to play a clip with tom cowen he's also been he's been uh

00:00:28.720 together with people like um andrew kaufman really kind of focusing on this thing of like

00:00:34.800 the validity in and of itself uh of this this model the the code molecule that we've gotten that this

00:00:41.760 is this is the virus and this is how it looks and all that kind of stuff right but he's done a lot of

00:00:45.280 other good work as well uh in terms of like uh you know natural health and other remedies and and just

00:00:50.800 exposing the garbage with this right so there's a website this is the independent group that they're

00:00:55.680 referencing in some of these clips that we'll play called how bad is my batch dot com because

00:01:00.960 it's all down to and it's they actually call it lots i believe that's the actual technical term for

00:01:05.760 it a lot every vaccine has a lot number and and this is you know publicly available i think you can

00:01:13.440 see much of this online and stuff like that and they've pulled some data out of the VAERS system

00:01:18.560 uh they've used even the flu vaccine as a kind of a control group of sorts and we'll get to that

00:01:24.720 here in a moment too and they have found statistical anomalies that shows that basically someone at

00:01:34.640 these companies that are producing this mRNA gene therapy must knowingly

00:01:42.560 have full understanding of of of what they're doing when you look at the the adverse effects of

00:01:47.840 some of the lots of the batches or lots because you wouldn't have them you wouldn't have high deaths

00:01:54.240 within one lot it would be evenly distributed across the board right so let me play a couple

00:01:59.680 couple clips we'll begin with mike eden he summarizes this a little bit and then we'll take a look at tom

00:02:03.760 cowan and he explains a little bit more detail and shows some statistics as well uh listen to this this

00:02:09.600 very important pay attention i i made an assumption which i was entitled to make which is

00:02:15.200 that the same stuff from a given manufacturer is in every single vial you know a little glass vaccine

00:02:22.400 vial i i believed and was entitled to believe that within a fraction of a percent uh we had the same

00:02:28.640 consistent quality and purity in every single injection and therefore the observed variation in

00:02:34.800 in behavior in people must be down to something such as the thing i just suggested unfortunately we're now

00:02:41.200 absolutely certain it's not the same stuff in every vial and that means criminal acts are being

00:02:47.040 committed so i mentioned earlier that i came up with an explanation for why many people have no side

00:02:52.400 effects and some people get very ill and even die and that might be true but the reason i even thought

00:02:58.000 of it was that you should expect um pharmaceutical mass manufacturers to be good at least at one thing and

00:03:05.440 they are very good at this consistent high quality uh purity manufacture from batch to batch to batch

00:03:13.120 i stumbled across a couple of people independently who'd been doing their own analysis of the va ers database

00:03:21.440 what they were doing and no one else seemed to have done it was they were pulling the the vaccine

00:03:26.480 batch or lot number might be like eight digits six digits a mixture of let alphanumeric symbols

00:03:32.080 and um comparing the profile of adverse events uh with comparing one one lot to another lot to

00:03:40.800 another lot was the same manufacturer and their expectation would be there'd be like a scattering

00:03:46.000 of adverse events across all the states and all of the lots but they didn't find that um this person

00:03:51.920 found that something like 90 percent of the adverse events were associated with like less than 10 percent

00:03:58.800 of the lots if you draw a lot at random from the va ers system and examine the outcomes the performance

00:04:07.360 that is the number of people who've reported adverse events it ought to be pretty similar from

00:04:11.520 batch to batch to batch if it's very different i'm afraid i can tell you with certainty and i would be

00:04:18.080 able to prove this mathematically if needed in court it's not possible to go from two or three adverse

00:04:24.800 events reported for a given lot and another lot have five thousand adverse events it's not possible

00:04:32.000 if you only vary the products a little bit you might imagine well they're doing this at speed and

00:04:36.400 it's novel mike's being a bit hard on them no if you only have a small difference you only get a small

00:04:42.000 difference in the performance if you go from nothing effectively to the worst outcomes ever reported to

00:04:47.760 va ers i'm prepared to uh state and to prove that that means it's not the same material in the in the

00:04:56.560 lots that have produced bad side effects i mean what i've just told you you may not appreciate the

00:05:01.840 significance of it it's not the same stuff so if you thought it was the pfizer biointech

00:05:08.160 covid19 vaccine that was used in the clinical trials um some of the batches contain something

00:05:14.160 different i i cannot know what it is but it's definitely not not the same stuff and we'll get

00:05:20.480 into that here now so thomas cowan he shows some uh screenshots from this from these the the study

00:05:25.120 essentially uh and this could very well be an answer to why some people are fine when they take

00:05:31.600 the vaccine there's some people that have speculated that since the clinical trials in

00:05:35.360 many regards are still ongoing even as weird as that sound but even legally they're like they're they're

00:05:41.680 they're um obligated and i know they break their own rules all the time and i'm trying to say that

00:05:48.400 you know but but sometimes they follow it because they're they're afraid of legal repercussions it's

00:05:52.320 very it's very weird how that pans out now selective it is but i'm just saying maybe that's what's

00:05:56.880 good i don't know maybe that's what's going on that the clinical trials are still going and they

00:06:00.720 have to have a control group right they have to have because they because our authorities right now

00:06:05.920 they would vaccinate 100 of the population if they have the ability to do so if everybody would go to

00:06:12.560 line up to get these jabs they would say yep that's perfect let's do it i mean they want to give it to

00:06:18.800 six month year old now so they will eventually they're going to give it to newborns okay that's that's

00:06:26.160 literally the definition of insanity especially we don't have long-term started on it on it the only

00:06:31.440 explanation we can make is where they want to kill people that then it begins making sense of what

00:06:35.600 they're doing right but so to avoid this issue of essentially murdering everybody right away with

00:06:43.040 these things we still don't know about the long-term effects but it's clear that we have a lot of people

00:06:47.120 that are literally dying within in some cases from what a couple of hours i think we have some that

00:06:53.600 have like gotten paralysis like immediately and stuff like that uh but some have like you know it takes

00:06:59.280 a few hours they die next day a couple of days later a few weeks later in some cases a couple of

00:07:03.600 months later right that's kind of like the the in a way of the short-term effect and maybe the long

00:07:08.880 term is five years out and that also it's depending on how many boosters they choose to get and all this 0.94

00:07:13.920 crazy stuff that's weaved into it right but it would kind of be dumb if they want to kill everybody like

00:07:18.800 right away it would kind of be too obvious so what it seems like what's happening right now and that

00:07:24.320 you could prove that by looking at this statistically with the lots and the numbers tied to the lots and and

00:07:29.680 how many adverse events you have tied to specific lots of the vaccine is that some people are getting

00:07:37.840 the real thing and and and that's what's killing them or they're getting something additional maybe

00:07:44.160 everyone is gathering giving the the regular mrna that they tell that they're giving it to everybody

00:07:49.200 or some of them are just saline solution we don't know anyway here's tom cowan let's take a look at

00:07:54.960 the next clip here showing um how they kind of came to this conclusion look at this very important first

00:08:02.800 the reports pulled from the database were the ones that have been submitted up till october 15 2021

00:08:11.520 they include all adverse reactions reported against pfizer and moderna mrna covet 19 injections

00:08:19.920 as well as all adverse reactions reported against the influenza vaccines and the influenza vaccines were

00:08:28.880 used to generate a control database in other words here's the data for the covet shots and we're going to

00:08:37.520 use the flu vaccine as a kind of control so what did they find here is the information on the uh flu vaccines

00:08:52.320 so the total count of the lot numbers was 494 that's the number i want you to uh pay attention to or listen

00:09:02.400 or remember uh and there's a few other important numbers the ae that's adverse event reports

00:09:10.400 total so 494 lots times 850 000 doses somebody can do the math so that's a lot and we have very few

00:09:21.920 1600 total adverse reports 15 deaths 73 hospitalizations but the other numbers i want

00:09:31.600 you to pay attention to is the average adverse reaction per lot so so again just to clarify if

00:09:39.440 you're confused this is just the numbers from the normal flu vaccine right and again it doesn't and

00:09:45.760 he said that early on it's not to prove to say well that's your that's your standard of safety they

00:09:49.920 might there as they even show here there is issues with that right but that's just to kind of give

00:09:54.720 you a sense of like what the well what would the normal adverse uh events be like what would the

00:10:01.360 number be like if you look at the lots of of the production of these vaccines right so that's why

00:10:06.320 he's doing that to use that as a reference frame so that we can compare it to these new experimental

00:10:11.520 m rna gene therapy jabs uh from adorno and pfizer and take a look at the numbers and then also when you

00:10:16.720 begin to look at the distribution that's a huge red flag let's continue uh three uh my cursor is not

00:10:24.400 working that's too bad uh and the maximum uh adverse event for a individual lot in other words one of

00:10:36.160 these 494 was 26 the maximum number of deaths was two the maximum hospitalization was three and some of

00:10:46.480 the lots had no adverse reactions at all okay so then we put this on a chart a number of uh lots by death

00:10:58.320 so the above chart shows how many times a specific lot number was identified in an adverse reaction

00:11:04.400 of which the person had died following vaccination against the flu 97 of the lots were associated with

00:11:13.760 zero deaths 13 were associated with one death and one lot associated with two deaths so the reason for

00:11:23.840 this slide is this is approximately what you get from a VAERS report looking at millions of doses of flu shots

00:11:32.960 deaths here's how many deaths uh in per lot number and here's a number another way of looking at this this

00:11:43.200 is now for adverse events per lot number except for a few spikes the number of adverse events per lot number was

00:11:51.760 generally the same no more than 26 being made against a single lot number so they're not exactly the same but

00:12:00.400 you can see on the charts most of the lots had one event or and the maximum was 26 and that was only i think a few

00:12:15.600 now uh let me go through this is uh the covid injections this is the data on the moderna shot

00:12:25.760 so first of all the total count lot total number of lots is 5551 which means that first of all there was a lot

00:12:38.160 more covid injections with moderna than there was flu shots given so uh somebody could say the reason why we

00:12:47.360 have 188 000 plus adverse events was simply because there's a lot more injections and that may partly be true

00:13:00.880 i'm sure not the whole thing uh number of deaths reported 2600 number of hospitalizations 10 000 plus

00:13:10.560 and of course we know that the various numbers are most likely vastly underreported as well you know

00:13:18.800 something to add on to this but that's not the point the point is here to look at the statistical anomalies of how

00:13:25.680 many of these reports were tied to certain lots because that's the tell that's the giveaway that shows you

00:13:32.640 that there's something in some of the lots which is not in the other lots and those whatever that is

00:13:39.520 is killing people and injuring people right let's proceed 0.87

00:13:43.680 so uh the total count of lot numbers was 5510 as you see but the important thing is

00:13:53.280 here we go into the minimum number of adverse events in a lot was one minimum number of deaths zero minimum

00:14:02.560 number of hospitalizations zero the maximum per one lot so here we're comparing one lot

00:14:14.240 of a covid injection versus one lot of a flu shot

00:14:20.560 and i don't remember exactly what the number was let me go find it i think it was 26 26 26 compared

00:14:29.120 to 26 compared to 4 967 almost 5 000 that's that's not normal that's not right the deaths maximum two

00:14:43.440 here 94 per lot yeah no hospitalizations flu shot three here 193 per lot almost 2000 now we're comparing

00:14:57.920 the exact same numbers there's no comparison here so some of the lots the minimum were just like the

00:15:08.960 flu shots and some of them the maximum were like nothing that has ever been experienced with a flu shot ever

00:15:22.000 so this data alone shows that there are 118 times as many adverse reactions 174 times as many deaths

00:15:33.360 and 140 times as many hospitalizations due to the moderna shot then due to all the other flu vaccines combined

00:15:45.680 that's quite big but let's break this down even more

00:15:50.720 95 percent of the lots of moderna had zero death rates

00:15:56.000 lots so that's sort of like the flu shot that means that 2600 deaths were associated with five percent

00:16:06.640 of the lots 13 lots doesn't make sense between 41 and 60 deaths each two lots had 61 to 80 and one lot

00:16:19.680 had 81 to 100 to 100. now the next thing which is something that's really shocking the investigation of the

00:16:29.520 various data found that specific batches of the pfizer and moderna vaccines were distributed to between 13 and

00:16:38.720 50 states across the u.s and these had an unusually high number of adverse reports and deaths compared to

00:16:48.800 lots that were distributed to 12 states or less so what is that what so it means that the what the

00:16:56.000 people the people died from and were hospitalized from and had adverse effects from was spread to as

00:17:02.320 many states as possible while those that were inactive or normal whatever you want to call it

00:17:09.040 were distributed to less states again to to not have all these red flags that all the deaths would happen

00:17:14.800 in one area or one state alone or something like that right someone knows this someone is directing

00:17:21.120 all of this behind the scenes okay i don't know how many people it is i'm not sure what they're doing

00:17:26.080 who knows we we don't know that yet we're just just looking at the statistics and the numbers

00:17:32.240 shows you that someone with with criminal intent is doing something to some of the lots okay what are they

00:17:41.360 saying here they're saying here they're saying that when you look at these 95 of the lots that had zero deaths

00:17:51.360 a hundred percent of them were distributed to 12 or fewer states when you looked at the lots that had 41

00:18:01.120 61 61 81 to 100 those lots were distributed to between 13 and up to 50 states

00:18:13.920 in other words somebody somehow chose to send the the lots that were causing almost all of the deaths and

00:18:25.920 adverse reactions to essentially every state across the country compared to their usual

00:18:33.520 distribution pattern which is to send them to very few states the question is why did they do this

00:18:43.600 and one has to consider the possibility that if they had sent all these to alabama or new york or

00:18:52.080 somewhere wisconsin then you would have all these deaths in one area which would be a huge red flag

00:19:01.600 whereas if you distribute them all across the united states it's much harder to catch yep this also

00:19:09.360 credible uh suggests and maybe even go you could go so far as to say proves that it wasn't because of the

00:19:18.320 pharmacy not doing it right it wasn't because they weren't kept properly at cold temperature this

00:19:25.440 happened with these lots in every state in every circumstance it had to be the actual contents of

00:19:34.240 those lots were different than the contents of the lots with no adverse effect which is against every

00:19:43.280 every principle of pharmaceutical you know good manufacturing practice that all of the lots

00:19:52.240 have to be identical you don't buy toilet paper and have one roll of toilet paper from the same company

00:20:00.800 like this and the other is completely different so let's go on

00:20:05.680 if you if and this is pharmaceutical companies which is even more rigid and stringent and you know

00:20:13.440 the the very you know seemingly up to this point that that's what we can say right everything is

00:20:19.520 everything is out the window since we enter 2020 everything that you think was normal or that

00:20:26.320 we usually did things or something all of that is out the window all right

00:20:30.640 right there's people that know and they're doing stuff and and and they know they know the plan

00:20:37.360 and they're executing it okay and this shows this shows criminal intent okay there is a there's a

00:20:47.200 criminal investigation being done right now by the uh it's a german group i i'd love to get that guy on

00:20:54.960 the show uh the corona investigation group uh i i i forget what they're called in german i'll i'll

00:21:02.240 see if i can pull it up here in a moment but there's plenty so there's independent research they're

00:21:06.640 looking at it there are people doing a criminal investigation and no it's not like police or

00:21:11.040 anything like that at this point right uh but to to make to make their case that when you and again

00:21:16.960 this is not like the it's only this working on in and of itself or whatever it's everything else combined

00:21:21.680 that we've that we've covered now with the last you know two years or so here uh that just that shows

00:21:27.040 that these people know what they're doing and they're killing people and this is just a short

00:21:33.760 term this is just the immediate as well by the way this is not the long-term effects of what might

00:21:38.640 happen eventually to every single one that got this shot again is is it only going to be this

00:21:43.920 because of whatever there's distributing in a few of the lots and it will be you know relegated with

00:21:49.840 it will sneeze at that point we don't know and as the boosters are rolled out maybe there will be

00:21:55.120 more of whatever it is that they put in the lots they're killing people that will be in the boosters

00:21:59.520 so anything is possible if you do the pfizer data this data alone shows there's been a hundred and now

00:22:08.080 we're talking about pfizer 106 times as many adverse reactions 189 times as many deaths 195 times as

00:22:17.600 many hospitalization due to the yeah someone in chat has us thank you for sending that i i yeah

00:22:22.880 i thought it was something like anschluss but it's ash ashless i think it is corona dash

00:22:29.120 us us us dot de i would spell that but yeah it's in the odyssey chat right now thank you yeah it's uh

00:22:34.880 fulmish fulmish i forget his last name to doing that thank you guys for the uh info in the chat about

00:22:40.000 that they're doing great work and they've done all these sessions with a bunch of people and you know

00:22:44.240 they've done it with mike yeeden they've done it with the dr lee merit where where this stuff about

00:22:48.160 the bot that this is a bioweapon that that came out right gene specific bioweapon where whites are 0.96

00:22:53.280 the most susceptible uh because of their ace 2 receptor of this bioweapon and so forth next in line

00:22:59.440 where i think we're black uh um non-black africans like north africans and then it was africans and then

00:23:06.160 the least susceptible was ashkenazi jews and the amish right we played that clip a couple of times 0.98

00:23:10.800 um anyway let's continue this is super important because this shows intent this shows that someone 0.99

00:23:19.840 knows what they're doing and they're fucking killing people okay they're killing people 0.94

00:23:28.080 pfizer injection there has been due to all the other flu vaccines combined and here on the bottom are the 0.99

00:23:35.920 lot numbers and then you can see the number of adverse reports by lot number and if you think

00:23:45.440 that the flu shot variation well some had zero and some had 26 all of the flu vax variation is below that red

00:23:56.160 line so in other words what this is telling you is that most lots were not that were like flu shots

00:24:06.800 they had very few adverse events uh maybe they had nothing in them which is a mind-boggling proposition

00:24:16.480 given that everybody is supposed to get something which may even turn out to not have anything in

00:24:24.000 it i mean we don't know and some of them the ones with the blue spikes had a huge number a range from one

00:24:32.880 to 3500 reports per lot yeah it's just unheard of and again this doesn't happen those ones with the blue line

00:24:43.280 above the uh horizontal red line those were all sent to more than 13 states the ones below the red line

00:24:54.080 those were all sent to fewer than 13 states why is that yep why then the conclusion is shockingly we can

00:25:05.840 also see from the data that 30 lots of the pfizer vaccine had between a thousand and fourteen ninety-nine

00:25:13.520 adverse events twenty had between fifteen hundred and two thousand and twenty three had between two

00:25:22.560 thousand and twenty five hundred per lot this suggests that there's a small quantity of dangerous

00:25:30.080 batches of the pfizer vaccine and a large quantity of seemingly harmless and i would say at least in the

00:25:38.400 short term of these same injections that is unprecedented in the history of vaccine

00:25:47.680 manufacturing or essentially any manufacturing i mean sure it's happened with products but it's always

00:25:55.440 a extremely it's a big red flag this is basically against good manufacturing practice it's actually a

00:26:05.920 crime to do this yep of course

00:26:11.440 the above chart shows that the number of adverse events reported to vares against moderna sorted by the

00:26:19.280 lot number of the vaccine it was administered prior to the adverse effect it shows that the moderna jab

00:26:28.000 fared even worse than pfizer jab in this department with the highest number of adverse events reported

00:26:35.840 against a single lot a staggering 49 67 and again this is the same number of doses as the highest

00:26:46.240 uh adverse event report for a flu shot was 26. this is an unprecedented difference yep and again

00:26:57.840 also compared to most of the moderna shots had essentially zero adverse events how could these

00:27:06.640 possibly be the same product they're not that's the point all right he continues there we're going to cut

00:27:13.200 it uh right there but that that continues right uh that's tom cowan and i found this on on bit shoot

00:27:18.800 uh i think he these are uploaded to odyssey channels and stuff like that as well uh what i'll do is i'll try to

00:27:25.680 put those uh links to this down in the description after you know the show after when we uploaded to

00:27:31.120 red-ass tv red-ass members and all the uh channels that we do in case you want to check out the whole 0.72

00:27:35.040 thing for yourself very interesting i did i i cut out another portion uh we don't have time to play it

00:27:40.720 now but mike eden kind of kind of summarizing really like where we are in the situation and why what we

00:27:45.920 like the different at the different steps like as the uh various governments uh introduced various

00:27:52.240 things like from masks to lockdowns to you know the vaccines and all that stuff along the way in

00:27:57.280 the covet scam and you just kind of summarize it in a really good way i think i put it on like to

00:28:03.600 our telegram or something later i might put it on our uh on bit shoot and odyssey too uh but just a

00:28:07.840 good like really good summary and overview of just like how insane it is and and in fact that there's

00:28:11.840 like again that's why i mentioned that before there's no there's no presidents but presidents for this

00:28:16.720 like they it's a completely new method right that they have uh all the protocols and procedures

00:28:23.360 that they had in place of how they're supposed to react when it when a so-called pandemic pops up

00:28:29.200 all of that stuff was like broken all of those violated in fact we did one uh no goes where i

00:28:35.440 covered how the the very idea of lockdowns uh was first introduced by the daughter of someone who

00:28:43.200 worked at the sandia laboratories right this nuclear research facility in in the uh was that new mexico

00:28:49.040 or something um and she had she had run some small computer model of like you know so from social

00:28:55.120 distancing to shutting everything down and stuff uh but it wasn't everything was it the walmarts were

00:29:00.960 still open the lows were still open right the the big chains the targets were still open it was only

00:29:05.600 the mom and pops for some reason they had to close down uh they couldn't do their business anymore

00:29:10.400 all of this is tied in it's an attack on the financial system on the supply chains on the food

00:29:15.280 production on our very very health all of these things are happening at the same time and this is

00:29:20.720 one of the big keys i think of like you can so you if you have if you know somebody that has taken the jab

00:29:28.800 ask them for the lot number and you can go to how bad is my batch.com and you can type in the batch

00:29:34.480 number and see the other adverse uh effects that are associated with that with that batch again

00:29:40.960 this is your short term who knows what's going to happen long term to these people and so forth right

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Red Ice TV - January 13, 2022

Only Certain Covid Vaccine Lots Caused All The Deaths, This is Impossible, Exposes Criminal Intent

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