The Shadoe Davis Show - Shadoe at Nite Monday May 16th⧸2022 w⧸guest Ken Drysdale

00:00:00.000 Ken Drysdale. Now, you guys may or may not know that name, but he is the author of the 89-page

00:00:09.140 letter that was sent out to Canadian senators and police all across the country, talking about what

00:00:18.060 their actions should be regarding the alleged crimes against humanity perpetrated by provincial

00:00:24.360 and the federal government. So provincial and federal governments. This is going to be an

00:00:29.260 explosive interview ken joins the show in the next couple of minutes we're going to go through

00:00:33.880 the document hit some key points and hopefully if you guys haven't seen this you'll have a chance

00:00:39.700 to see it during the show obviously and then after the show you can read the whole thing

00:00:44.280 if you wish also there were three professors at the university of winnipeg who were suing the

00:00:50.380 university over discrimination because of you know the quack scene mandates um and they had

00:00:57.060 their case thrown out on friday as a matter of fact they are having a social let me see if i can

00:01:04.920 uh yeah here it is right here guys they're having actually a couple of socials at bulldog pizza the

00:01:12.060 bulldog pizza social hall on may 27th and may 28th here is here is the information due to an

00:01:23.520 overwhelming response you can join us so this is like they had a sellout on may 27th that's the

00:01:28.280 friday night so the overwhelming response there it is they're doing another one a second social

00:01:34.240 disco night on saturday may the 28th all proceeds are going towards the lawsuit with the three

00:01:40.380 props who are suing the university of winnipeg and their labor board complaint they say this

00:01:45.920 is a very critical case that could set a precedent for all manitobans not just manitobans all

00:01:51.300 canadians to maintain the right to their bodily autonomy human rights religion creed so again

00:01:58.940 this one is may 28th love liberty disco after party i don't know if you have to dress up as

00:02:06.760 your favorite disco character or not but i think it sounds like fun so if you want some tickets or

00:02:11.940 if you want to make a donation the email is aloe422 let me give you guys a bigger shot of it

00:02:18.220 here aloe422 at protonmail.com so it's aloe422 at protonmail.com i'm hoping to have one of these

00:02:32.100 professors maybe all three on the show a little bit later on this week so again you guys this is

00:02:38.540 saturday may the 28th the social bulldog pizza social hall on main street 1364 main street

00:02:48.220 The Shadow at Night live stream, as always, is brought to you by Tacit Investigations and Security, Tacit Investigations and Security, where the mission is the mission is to be the pinnacle solution service provider of investigation and specialized security services to clients through innovation, intelligence and integration.

00:03:06.800 Jeff Stone is the founder, the CEO and the president, and he is a true patriot, a Canadian

00:03:11.920 patriot of tacit investigations and security and is a renowned investigator and surveillance

00:03:17.480 operator all across the country.

00:03:19.840 They handle due diligence investigations, digital forensic investigations and more.

00:03:25.280 And they also handle asset protection, security, residential security, canine security and

00:03:30.280 drug detection and more.

00:03:31.600 You can find out more online.

00:03:33.320 Find them at tacit-investigations.com, or you can call 204-952-4775, 24 hours a day, seven days a week, 365 days a year.

00:03:43.640 Tacit Investigations and Security, and yes, another one of the Patriot Line t-shirts is going out the door at the end of the show tonight.

00:03:50.700 It's also brought to you by CanadaNanoSilver.ca, CanadaNanoSilver.ca, with the silver supplement for your immune system.

00:03:58.020 Silver Biotics Trace Element Silver Supplement, the perfect daily defense boost for your immune system, family-safe, all-natural trace element health supplement made with the power of SilverSol technology.

00:04:10.900 No artificial ingredients, dyes or flavors, not in any of these products whatsoever.

00:04:17.260 No preservatives, no additives, sugar-free, gluten-free, non-GMO.

00:04:22.440 It's vegan, vegetarian, probiotic-friendly, scientifically tested, and clinically proven, and not by TV doctors either.

00:04:29.340 These are actual real working scientists who go through the scientific process to make sure this stuff is safe and productive for you to use.

00:04:38.140 100% satisfaction guaranteed.

00:04:41.040 So this stuff and more, including a great line of skin care products, oral care products, wound care products, available at CanadaNanoSilver.ca.

00:04:49.820 CanadaNanoSilver.ca.

00:04:50.440 All right, tonight our guest is a prominent Manitoban who took the time to write this 89-page, I don't know what you call it, Ken.

00:05:01.340 Would you call it a letter, or would you call it, what have you called it?

00:05:07.540 Well, it's an investigative report. It's a forensic engineering review of the statistics and the claims that were being made by the Manitoba and Canadian governments throughout the pandemic.

00:05:22.520 Okay, so we're going to go through this in a little bit. I want to get your motivations, though. Why did you sit down and decide to take the time to write this document? Because 89 pages and all of the information you put together and the way you put it together is absolutely incredible.

00:05:41.020 Well, I guess the initiation of it was that myself and a group of friends, during the height of the quarantine, started to get together to support each other.

00:05:54.660 Because at that time, all the community groups were closed.

00:05:58.060 You couldn't go to church.

00:05:59.040 You couldn't go to work.

00:05:59.920 You couldn't go anywhere.

00:06:01.560 And so we got together with 35 people and started to have our own community group.

00:06:06.720 And it wasn't long into that where a number of us started to say, this is nice.

00:06:13.980 It's nice to be visiting and nice to be visiting with people of like mind, but we really have to do something.

00:06:21.060 So we split into a group of four and started talking about maybe we'd write a letter similar to what they had done in Great Britain.

00:06:33.000 And it fell upon me for a bunch of reasons.

00:06:36.540 And I like to say with tongue in cheek a little bit that people talk about, you know, the still small voice telling you what to do.

00:06:44.300 Well, my still saw my still small voice was quite loud and she's five foot six and brunette.

00:06:52.740 And she volunteered me to do this.

00:06:55.480 I see. So she said, so what are you going to do with Kent?

00:06:58.160 You've got a background in this kind of thing, though, don't you?

00:07:00.620 Yeah, I'm a I'm a professional engineer and I've practiced for over 40 years.

00:07:06.540 and a good part of what my practice was was forensic engineering for you know trials if

00:07:14.340 something we always used to say if something fell down blew up or broke they would phone me to figure

00:07:18.720 out what happened and so that was kind of the technical my technical background to undertake

00:07:23.920 something like this and quite frankly the it is a specialized thing to do and at the beginning

00:07:29.560 there was quite a few discussions on how we would do this you know there's as you know there's lots

00:07:34.000 of experts out there and this expert saying one thing and that expert saying the other thing and

00:07:38.040 and it quickly came to me that you know when you have supreme court justices in the united states

00:07:43.460 that can't define what a woman is um you could probably find an expert to say anything you want

00:07:49.320 so it became apparent that if we wanted to have any kind of effect it had to be something that

00:07:54.940 was indisputable so what we did was we took we looked at what the government was saying

00:08:00.500 just what they were saying with regard to the statistics with regard to safety protocols with

00:08:07.020 regard to who should be and who shouldn't be taking their experimental drug and we actually

00:08:14.160 compared what the numbers actually said not what the news was telling you but what the numbers

00:08:18.420 actually said had no idea what we were going to find out but wow were we shocked did you take all

00:08:26.080 of these statistics from uh just one government the federal government or was this from different

00:08:30.900 provincial governments or just one provincial government it was mostly from health canada

00:08:35.240 statistics canada except for the specific information about manitoba for instance we got

00:08:40.440 into the whole um icu bed uh counts and what what the government did to gut the entire uh intensive

00:08:48.100 care uh capacity in manitoba despite having written reports that the government manitoba

00:08:54.860 government did back in 2010 that said the requirement for ICUs was increasing 10 to 12

00:09:00.720 percent a year. And following the H1N1, they also recommend a significantly increase in the

00:09:07.120 capability. And so when we saw what they actually did, again, it was shocking. And it almost seemed

00:09:17.420 that no matter what we looked at it was almost the opposite of what they had been telling us

00:09:25.240 and sometimes much much worse and so it became after you know several months of writing I think

00:09:30.820 we spent 140 160 hours or somewhere like that writing this report we could have kept on going

00:09:35.900 forever because every time we lifted something there was bad stuff underneath and so it was a

00:09:41.000 matter of where do you stop so as a forensic engineer you are reverse engineering things

00:09:48.820 that happen right you're taking it back in time and you're looking at the sequence of events

00:09:54.280 and you're looking at graphs and statistics that piled up and people tend to forget about all of

00:10:01.580 this you know i mean it's only been two years or a little over two years that all this has been

00:10:05.000 happening but people tend to forget what happened at the very beginning and then when the mask

00:10:09.580 mandates came in and then when the vaccines arrived and and then the vaccine mandates months

00:10:14.380 after that and so this actually breaks that down plus the statistics of actual deaths uh mortalities

00:10:20.920 that happened across the country in i think what 2019 and 2020 or is it 2020 and 2021

00:10:27.420 2019 and 2020 and we chose those because 29 was before uh the the the uh covid uh started

00:10:36.120 And then 2020 was was essentially before the the the the trying to think of the right word that won't get us kicked off the air.

00:10:46.240 The experiment, the experimental serum serum, yes.

00:10:53.160 Or the quack scene is a guest of mine called it last week, which I thought was great.

00:10:56.980 Let me ask you before we get into this, because I know you're you're ready to go and get into this here.

00:11:00.720 And guys, it is 89 pages. We're not going to hit all 89 pages.

00:11:04.360 we're just going to hit the key points of what Ken feels are the most strong points of this

00:11:10.380 whole thing. Did you know, Ken, that there was something the matter before this started or right

00:11:16.740 around the time this started? When did you first become clear on this? You know, everybody's got

00:11:23.240 20-20 hindsight, but I'll tell you this is the truth. When this thing happened in March, my wife

00:11:29.240 and I and our whole family were in Mexico because my youngest son was getting married and they can't

00:11:35.060 the the resort came in and the news came in that we had to get out of Mexico and go home because

00:11:39.460 all of this stuff was falling apart and it was all horrible and I looked at my wife we're sitting

00:11:44.320 at the beach and I said this is yes it is not you could just it just had that stink to it and then

00:11:51.060 by the time we flew into Toronto and saw what they were doing with the passengers that just confirmed

00:11:57.120 it all to me you know they they they jammed dozens of airplanes and all the people into one room

00:12:02.820 together and left us there for hours and then we had to go up to the keypad machines and they

00:12:07.680 weren't being wiped down or touched or they were filthy and yet they were telling us the sky was

00:12:12.820 falling so we knew right at the beginning yeah i mean you jam hundreds of people into one closed

00:12:18.420 space with an airborne virus going around that's very smart thinking like and from all over the

00:12:24.540 world, you know? Yeah. All right. So let's let's get into this here. We're going to just jump right

00:12:29.440 in. Investigation into criminal allegations concerning COVID-19 pandemic response. That

00:12:35.900 is a very sexy cover page, my friend. You're right. Looks great. There's a mom with a mask on

00:12:41.560 and her little baby. Where are we going to start? You know, I just wanted to show this table of

00:12:48.240 contents just so the folks can see that we split it up into little bite-sized pieces. And our

00:12:53.380 original intent was that this report was going to go to the police and we were going to demand an

00:12:58.580 investigation and in order to do that we didn't have to do the whole investigation for them we

00:13:04.940 just had to demonstrate that on the balance of probabilities that there was a crime and so that's

00:13:09.660 how this thing started out and it was set up like that so when you see the table of contents you see

00:13:14.840 requirement for police to act we actually analyze the police the legislation that governs what the

00:13:20.740 police does and it outlines when they have to act what they have to do and what the responsibilities

00:13:25.060 are so we're reminding them of that let me ask you ken is is there any impetus for the police

00:13:31.020 to follow recommendations to act or do they always act on their own volition they don't necessarily

00:13:37.560 act on their own volition but when a when they become aware of a of a potential crime they are

00:13:44.100 supposed to act and it's set out in that in that section in the legislation it actually says when

00:13:50.220 they supposed to act so this is like pretty much when you distributed this particular document to

00:13:56.960 all of the police uh services across the country and the senators that and and the house of commons

00:14:03.640 as well and the house of commons that then tells them that there is a problem i mean this is only

00:14:08.500 89 pages when you think of it i mean a lot of documents that get sent to government officials

00:14:12.280 are in the hundreds of pages if not thousands this is 89 pages it's very concise the information

00:14:17.840 is very easy to follow uh you made it that way you designed it that way so there is no excuse

00:14:23.600 these officials absolutely know that there is something afoot here just from looking at all

00:14:29.100 of these statistics and they should have acted by now you sent this out when the middle of march

00:14:33.280 you said earlier today uh yeah it was well we finished this thing at the end of march and then

00:14:37.720 we probably started sending them out i think the second week of april something like that

00:14:40.920 okay so it's about a month and a half guys watching right now please like and share this

00:14:46.980 show tonight it's very important you get this out there uh ken and i were discussing this on the

00:14:51.760 telephone this afternoon there's a lot of people maybe you guys are watching right now there's a

00:14:56.180 lot of people who have been wondering what to do and we're talking about building communities

00:14:59.760 obviously and getting set for the possible siege that is coming in the next two three four months

00:15:04.940 from the globalists but if you want to do something make sure you get this document and you

00:15:11.060 share it out there or you take this show tonight and you share it out there to as many people as

00:15:16.060 possible what's next my friend well um you know let's go uh skip over the preamble for the for

00:15:23.580 the police and let's get right to the guts of it and start talking about um section uh six

00:15:31.420 so page page page 18 section six okay page 18 zip zip zip zip these pdf files are pretty easy to

00:15:39.980 work with okay here we go section six basis for alleging illegal acts all right so what what we

00:15:47.900 what are the things that we did we looked at a bunch of different things and the first thing we

00:15:52.980 looked at was the statistics how what was the government of canada reporting as far as mortality

00:15:58.580 was concerned and we when we looked at that we didn't we didn't rationalize anything that the

00:16:06.860 government was telling us in other words when they told us that two people died of covid we

00:16:11.160 didn't question that well maybe they were in a hospital from a car accident and tested positive

00:16:15.960 for covid so they blamed we didn't do any of that and we didn't question the the accuracy uh of the

00:16:22.800 of the covid testing we just simply took the numbers as they were and so some of us did some

00:16:29.460 of us were questioning it the whole time but we weren't listened to because of the censorship and

00:16:33.440 you're just a conspiracy theorist you should be wearing a tinfoil hat anyway but i tell you i'll

00:16:40.240 tell you the reason we did that is because if we could prove that what they were saying was

00:16:44.720 completely ridiculous even given the numbers they were using without adjusting the numbers

00:16:50.380 then how could they argue with us so especially their own numbers their own numbers that's exactly

00:16:58.140 right. And so the baseline year that we use, in other words, the year that we thought we would

00:17:04.160 use that was unaffected by the COVID was 2019. So we went into the Statistics Canada and we

00:17:12.000 evaluated in different age groups, how many people were in the age group, how many people died, what

00:17:17.780 they died of. And then we looked at 2020. And once again, we looked at 2020 because that would have

00:17:26.500 or should have been the year that would have resulted in the most deaths the reason for that is

00:17:32.340 when the when it started there were no therapeutic treatments available and you can argue that they

00:17:38.500 held them back and they did but there was no therapeutics available no one would have had

00:17:43.640 immunity to it because it was in quotes novel right uh and and i i did that on purpose because

00:17:50.040 you know sometimes i'm dumb i i was looking at your facebook feed and somebody said this report

00:17:55.060 isn't made isn't much good for anything because they said it was a novel coronavirus and i said

00:17:59.180 no no no we put the novel in quotations which means it's not our words it's someone else's

00:18:04.860 that we don't agree with it no no no yeah no that's that's the thing we have to be very very

00:18:09.160 clear guys we are using the information and the language that the government has been using for

00:18:14.840 over two years now exactly in any case so 2020 was also when there were no mitigative measures

00:18:20.920 The most vulnerable people, in other words, those people that you would expect would die, hadn't died yet.

00:18:26.600 So the most vulnerable people would have been affected on the outset.

00:18:30.500 And there was no experimental shot available.

00:18:33.940 So 2020 would have been the worst year.

00:18:36.860 And on page 20, you'll see there's a graph, and that's from Stats Canada.

00:18:42.640 And it actually proves out what I was saying.

00:18:45.940 Each line on the graph represents a year.

00:18:48.140 And the pink graph that goes way up in the April timeframe, that's 2020.

00:18:56.000 So it bears out that that was probably the worst year for deaths.

00:19:00.220 So that proves that our understanding that 2020 would have been the worst year.

00:19:07.120 So then we got into looking at statistics and we got to looking at how the government was reporting the statistics.

00:19:14.640 and they were the government of canada was issuing all kinds of graphs and tables and the

00:19:21.980 graphs and tables were extremely misleading if you didn't have some kind of a background in

00:19:27.400 mathematics or statistics it would have the the the the method the the message that they were

00:19:34.120 giving you was completely skewed and an example of that is on page 26 of 88 or 89 sorry okay we're

00:19:43.780 going to go down to 26 and here it is so this is table four is the one you're after here

00:19:52.460 yep okay you want to roll it up just a little yeah there we go so this graph when you first

00:19:57.800 looks at it it's talking about distribution of covid cases can you roll it up just a little

00:20:01.520 bit more there's one part missing it's touchy very touchy there we go okay now i want to i

00:20:08.440 want to tell everybody that you know i'm skipping a whole bunch of pages but there's lots of

00:20:12.260 information on those pages i'm jumping over so we can't we don't have to hurry here we've got

00:20:17.540 as much time as you need my friend i don't want to put everybody to sleep that's all no man you're

00:20:21.840 people are watching they're interested in this stuff because you took the time to break it down

00:20:26.000 and you're showing actual real statistics statistics and using those statistics their

00:20:30.220 very own statistics against them which is marvelous please continue so what this what

00:20:38.280 this graph, this graph was the accumulated total of people affected up until I think it was May 15.

00:20:46.060 And if you just looked at this graph, you would think looking at the 80 year old, 80 plus

00:20:53.000 line, which is at the bottom, that's the number of people that were affected. They say 16,000

00:20:58.480 people. And you'd think, wow, you know, that's a death sentence. If you're above the age of 70

00:21:04.520 years old, that's a death sentence you get COVID-19. But if you actually analyze the actual

00:21:13.580 statistics, you'll find out that in, and I'm going over to page 32. Okay. 32, 30, 31, 32. There it is.

00:21:27.300 So this is, hang on just a second here.

00:21:33.320 It's, it's, there we go.

00:21:34.920 All right.

00:21:35.740 2019, zero to 19 years old odds of dying.

00:21:39.160 Is that the one?

00:21:40.160 No, that's 33, page 32.

00:21:42.420 We'll get to 33.

00:21:43.840 Okay.

00:21:46.140 32.

00:21:48.800 Ah, there we go.

00:21:51.280 I'm sorry.

00:21:52.100 I'm using the, there we go.

00:21:54.620 Oh, that's good.

00:21:55.660 That's okay.

00:21:56.240 Good.

00:21:56.500 There we go.

00:21:57.300 there we go all right here it is number of people four million six hundred sixty eight thousand

00:22:03.320 five hundred ninety one yes right so that little that little blue part that says 2019 odds of

00:22:08.900 dying what that is is according to statistics canada in 2019 there were 4.6 or 4.7 million

00:22:18.520 people in canada who were 70 years of age and older and in 2019 145 000 of those people died

00:22:27.180 So the odds of you dying in 2019, simply because you were 70 years of age and older in Canada, was 1 in 32.

00:22:36.320 You had a 1 in 32 chance of dying.

00:22:39.160 Directly underneath that is a green graph.

00:22:42.020 And what it's now doing is looking at the number of deaths that occurred in 2020 in the age group 70 years of age and older.

00:22:50.680 Again, there's a little more people in 2020 because their population went up.

00:22:54.520 So it's about 4.6, 4.7 million.

00:22:57.180 14,000 COVID deaths.

00:22:59.760 So your odds of dying from a contracting and dying of COVID in 2019 or 2020,

00:23:06.840 if you were older than 70 years of age, was one in 324.

00:23:11.340 So that means your chances of just dying were 10 times higher,

00:23:16.660 or if you want to talk a percent,

00:23:18.540 a thousand percent higher of just simply dying than getting COVID and dying of

00:23:23.860 it.

00:23:24.020 well i mean this is one thing that people seem to have overlooked over the past couple of years

00:23:32.240 is that older people tend to have more medical difficulties and they die of old age somebody

00:23:38.400 said to me and i think it was my son's grandma on his mother's side last year who is 81 years

00:23:45.460 old herself she said whatever happened to dying of old age it just doesn't exist anymore it has

00:23:52.320 to be you died of covid now um there's no money in dying old age no i guess not so where are we

00:23:58.160 going next uh no this age group was oh you're you're breaking up we can't have this we need

00:24:08.120 you to ken come back ken drysdale is our guest guys uh prominent manitoban he has taken the time

00:24:15.880 to go ahead and do this letter up for us here

00:24:22.280 with all of these graphs, this wonderful information,

00:24:24.300 using government information against them.

00:24:25.940 You're back.

00:24:26.420 Okay, excellent.

00:24:27.060 So where are we at?

00:24:28.420 Okay, so then we looked at the age group

00:24:31.100 from zero years of age to 19.

00:24:34.940 And again, we did the same thing.

00:24:36.500 So that was page 33.

00:24:38.880 Yep, here we are.

00:24:40.100 Go up just a little bit.

00:24:42.640 Sorry.

00:24:44.080 All right.

00:24:44.760 okay there we go that's that's all i want to see i want to see this part if i could

00:24:49.940 which part the higher part oh sorry you know what i'm using my mouse and i just realized you can't

00:24:54.940 see my mouse no i can't yeah oh there is oh my god this is okay okay there it is okay so this is

00:25:05.960 this is 19 years of age and younger so in 2019 there was 8.1 million people in canada under the

00:25:13.100 age 19 years of age and younger and in 2019 there was 1365 of those people died so your chances

00:25:20.880 at if you were 19 years of age and under of dying in canada in 2019 was one in about 6 000

00:25:30.240 right now in 2020 again there was 8 million people in that age group but health canada

00:25:38.740 Statistics Canada reported two deaths in 2020.

00:25:42.740 So your odds of dying, getting COVID and dying of COVID,

00:25:47.780 if you were 19 years of age and younger, was one in four million.

00:25:52.420 Your chances of just dying for any other reason was one in 6,000.

00:25:58.020 You know, I'll tell you something.

00:26:00.920 I got this friend named Dick.

00:26:03.640 And Dick made it his mission the last couple of years to drive,

00:26:07.420 because he's a delivery driver.

00:26:08.460 So he drives around town and he talks to people and he asks them questions and they're mostly COVID related questions.

00:26:15.180 And I was having a discussion with him a few months ago and he said, you know, people out there are so misinformed.

00:26:22.400 When I asked one person that I was making a delivery to today, how many people do you think, you know, under 20 have died from COVID in Canada?

00:26:32.460 And she said, I don't know, like 2,000, 3,000.

00:26:35.040 and he said no and now at that point he asked it was something like 10 maybe 11 and this chart

00:26:41.720 bears out from the date i think this is may of last year you said two well this this particular

00:26:46.480 chart is all of 2009 all of 2020 so from january 1st to december 31st yeah i think by the way now

00:26:54.300 that the number is more like 21 so all another year yeah and and the trouble with that number

00:27:00.880 Or is it somewhat tainted because of the experimental serum?

00:27:06.340 Right.

00:27:07.280 And that's why 2020 is so important because it's clean.

00:27:11.660 Yes, that's exactly right.

00:27:12.960 But, you know, that's the other thing with the experimental serum.

00:27:16.520 We're going to have to do another one of these to go ahead and see if we can prove that the year with the experimental serum was worse than the clean year.

00:27:25.500 Ah, you see, but that's the magic that they do.

00:27:28.020 because if you actually look at the there's a graph that i've looked at which shows how the

00:27:33.340 deaths start increasing in and around may or so of 2021 well that all of a sudden became a new

00:27:41.100 variant and who knows if it was a new variant or not or if it was just the uh the uh experiment

00:27:47.400 i don't know i don't know the answer to that yeah you're right it might be tough to assess that out

00:27:52.020 all right so where are we going now here okay so now this one we thought well let's take a look at

00:27:56.480 the overall population. So in 2019, there were 37 million people in Canada. There was 285,000

00:28:03.280 deaths. So just in Canada overall, as a member of the population, you had a 1 in 131 chance

00:28:11.580 of dying just for no reason or any reason in 2019. Your odds in 2020, just as a member of the

00:28:21.760 population of contracting and dying of COVID-19 was one in 2300. So again, it's orders of magnitude

00:28:32.480 different. And when you look at the other thing that that graph shows that you were just showing

00:28:36.700 on there is the number of other deaths on page 34. Okay, we're going to go back. I like the

00:28:43.740 conclusion here. That's why I was kind of jumping ahead. But anyway, please. Okay, and I wanted to

00:28:48.700 put it in perspective just a little higher up please okay there we go there we go so again

00:28:54.080 keeping in mind that there were in 2020 there were 16,000 COVID deaths in 2019 there were 500 murders

00:29:03.520 there were 4,500 suicides 14,900 accidents 6,943 people died of the flu

00:29:15.300 82 000 died of cancer and 53 000 died of heart disease now but this isn't the most amazing part

00:29:26.240 of this the statistic and it comes a little bit later but you know i can't i can't restrain myself

00:29:32.280 the way the way statistics canada reports deaths is it it lists out what they call the 50 top

00:29:42.220 causes of death in canada and a lot of those 50 top causes of death in canada had zero deaths

00:29:48.500 like scarlet fever for instance i don't know when the last time there was a death of scarlet fever

00:29:52.860 but more importantly than that they have a category called undefined and 21 and it varies

00:30:01.440 in age group but overall i think it's about 21 of all the deaths reported undefined nobody knows

00:30:08.820 it's a mystery well they might know but they don't they haven't reported it and if they

00:30:13.980 were focusing so hard on the covid deaths which are statistically insignificant why are we just

00:30:21.260 sweeping 21 of all of the deaths under the rug you know what's interesting about this and i'm

00:30:27.080 sure everybody can see the influenza number here all ages 2019 6,943 influenza deaths and we haven't

00:30:39.040 had any influenza deaths or even any cases for two years now isn't that astounding

00:30:45.380 exactly huh go figure I like the conclusion you draw here Ken and I want to get to that

00:30:54.620 As of May 2020, the officials knew or ought to have known what the real odds of dying from COVID-19 were.

00:31:03.840 In the same way, they knew or ought to have known, I love that, ought to have known, the actual effects of the application of the COVID-19 restrictions.

00:31:12.880 They should also have observed the panic and fear that was being induced into the population.

00:31:18.400 as a result of their own inaccurate or misleading statistics.

00:31:26.200 Furthermore, as of May 2020, there were enough issues described in the data being reported

00:31:32.960 that a detailed investigation of the actual issue should at least have been initiated.

00:31:37.420 Absolutely, 100 percent, and yet nothing.

00:31:40.980 Silence.

00:31:41.940 All right, what's next?

00:31:44.080 Okay, if you turn to page 37.

00:31:46.500 okay 37 there it is now now this graph is uh is me taking all of the death uh statistics

00:31:57.800 and across the top it says age range so for instance from zero to 14 years of age it lists

00:32:05.160 the total number of deaths the total number of people in that age group and that's really really

00:32:10.600 important because one of the things the government did to mislead you on purpose or not i i don't

00:32:17.760 know what was in their head but one of the things they did is they reported deaths and they didn't

00:32:22.880 take into account the number of people in the age group it would be like is it i'll give you

00:32:29.080 an example if i had if i have a group of 10 people and one person dies that's 10 of the population

00:32:35.580 dying that's pretty important that's that's pretty significant but if one person dies in a group of a

00:32:40.360 million. It's not that significant. And so by leaving out the context of how many people were

00:32:46.680 in the age group that they were talking about, they completely misread or misrepresented what

00:32:52.920 was going on. And again, on this table, I see we're loading, but if anybody's following along

00:33:00.620 at home they are i'm just okay what what i was talking about earlier is it right at the bottom

00:33:10.060 of the um of this chart the very bottom horizontal row it says percent of other causes of death and

00:33:18.580 you can see that it goes as high as 34 of the deaths reported they don't tell you what the

00:33:25.100 deaths were from and yet and yet you know for instance let's take a look at the age 30 30 to

00:33:34.400 34 age group so five years you go down all the way to the bottom and you'll find out that there

00:33:38.900 were 870 deaths there that they haven't told you what they're from but if you go back up where the

00:33:44.900 yellow line is that's the covid deaths so for the age group 30 to 34 in the year 2020 11 people in

00:33:54.000 that age group were reported to have died of covid if you go down to the bottom 870 people

00:34:00.400 in that age group died of and they don't tell you what they died of other causes other causes

00:34:06.500 so if somebody could do that arithmetic pretty quick but you know 11 deaths from covid compared

00:34:14.220 to 870 deaths of unspecified causes how come it just makes me wonder because i questioned this

00:34:23.540 stuff but i'm terrible with statistics right i would go wait a minute like how come nobody is

00:34:28.260 asking about these 870 unknown deaths but i just don't have the time and patience or the expertise

00:34:35.060 like you do can to be able to sit down and just break it down all of these different statistics

00:34:39.880 and numbers to be able to show how ridiculous these numbers are well it's it's not that you

00:34:46.160 haven't got the time you don't have a five foot four still small voice telling her you're gonna

00:34:52.120 do it does she sing to you when she's saying are you gonna do it can his wife is a singer by the

00:34:59.780 way she's a recording artist let's give a plug why don't we give a plug while we're here sure uh

00:35:04.420 rosalie drysdale uh you can find her at rosalie drysdale.com or on youtube again rosalie drysdale

00:35:09.980 music facebook they're on i think she's on 63 different uh streaming and download platforms

00:35:17.220 worldwide in just about every country in the world fantastic okay so go listen anyway um on the so so

00:35:25.480 those are the overall statistics you could just see that i highlighted covid in yellow and you

00:35:31.060 could just see that in the age groups certainly it increases as you get older absolutely no argument

00:35:35.820 about that but when you're down into the zero to 14 age group 15 to 19 all the way up to

00:35:41.620 mid to late 50s you know they're reporting 247 deaths and 55 year olds and there was almost

00:35:49.000 3 million people in that age group yeah that's such a small negligible amount of people and not

00:35:54.620 to say that yeah and again you know this is something else that people have had trouble with

00:35:58.380 we're talking statistically we're not talking about actual people here right so statistically

00:36:03.280 you can say 252 people died it's not that big a deal but then you could be thought of as a cold

00:36:09.400 hearted cynic or a heartless bastard or whatever but ultimately we're talking statistically here

00:36:15.360 and of course we feel for all of the people's families who lost somebody to covid or what may

00:36:20.000 have been covid but at the same time if we're talking about statistics here which is what we're

00:36:25.080 doing uh this percentage number is what like 0.01 percent yeah it's not statistically significant

00:36:34.320 Yeah. No. You know, the other thing that just came into my mind about this was, let's see.

00:36:43.600 You know what? It'll come back into my mind.

00:36:46.540 What is this and what is an analysis of deaths, 14 years of age and less from 2020?

00:36:52.580 OK, so we looked at if you were 14 years and 2020, if you were under the age of 14.

00:36:59.180 uh and we let's say we set your chance of dying from contracting and dying of covid as one let's

00:37:06.960 just say that's the baseline if your risk of dying of covid is one what's your risk of commit of

00:37:12.560 committing suicide 39 times higher you have a you have 13 time higher risk of homicide 127 times

00:37:22.420 higher of having an accident and dying, 16 times chance of dying of the flu, and 112 times higher

00:37:30.400 chance of dying of cancer. So we were just trying to put in perspective the different causes of

00:37:38.720 major causes of death of that age group and show that COVID-19 was insignificant.

00:37:46.380 And again, that is something we've been saying, though, right? With all of these lockdowns and

00:37:51.540 mandates and social pressures and pressures from employers and and schools school boards politicians

00:37:57.800 media you name it people have been losing their minds i'm using that as a figure of speech

00:38:03.600 obviously and they're doing you know i mean i've got a friend mike boy jackas everybody knows him

00:38:08.000 on this show he runs voyage funeral homes and he's been saying that the deaths he's been seeing

00:38:12.500 are not covet related at all they're related to suicides and drug overdoses mostly uh especially

00:38:18.120 during the mandate times and well yeah these bear that out i mean we all we all know the famous case

00:38:24.840 in alberta where the uh the uh dina henshaw uh announced a child dying of covid and their parents

00:38:33.260 got into the press because the child died of leukemia and they had already taken the child

00:38:38.880 off of uh off of food and water just waiting for the last moments and they tested him for covid and

00:38:43.700 said well they died of covid and and yeah you know any in any case the next piece of this is

00:38:50.900 we wanted to talk about we wanted to look at the government of manitoba and and we'll show that a

00:38:57.500 little bit later that they had all kinds of information bulletins going out and and there

00:39:02.300 was information bulletins for children for uh women who uh might be pregnant or breastfeeding

00:39:07.840 and so on and so forth. And for children, we wanted to compare the numbers that the government

00:39:14.680 of Manitoba gave us for adverse reactions compared to the risk of dying. And so because they were

00:39:24.040 coercing or forcing people to get vaccinated. So as of February 11th, 2022, Statistics Canada was

00:39:33.880 saying that in the age group, five to 11 years of age, that the incidence of severe adverse reactions

00:39:42.060 to the experimental serum were 263 per 100,000. What page are we on here, Ken? Oh, page, top of

00:39:50.500 page 39 okay there it is okay there we go so if you if you multiply those numbers by the number

00:40:05.200 of people that were in that age group and it's like 2.3 million of them that means that there

00:40:10.200 have been 6 153 adverse reactions in the group of children who have a one in four million chance

00:40:18.260 of contracting and dying of covid so the chances or one in six million sorry so the chances of you

00:40:25.040 actually of getting an adverse reaction to the serum were almost 16 000 times higher

00:40:34.300 than your chances of contracting and dying of covid 16 000 times higher

00:40:41.900 this is what we have been saying for a while but we didn't have the statistics to back it up

00:40:50.040 now we do everybody felt this way and so the next thing we did was we didn't want to get into again

00:40:57.380 we we avoided opinions so the next little bit that you see they're starting with acute allergic

00:41:03.360 reactions this information is taken directly from the manufacturer product monographs

00:41:11.880 that's you know we all know we go to the drugstore and they give us a little thing of pills there's a

00:41:17.660 giant piece of paper i'll fold it up in there that most people never read yeah well well the serum

00:41:23.020 comes with such a piece of paper and and so we simply copied what was in that piece of paper and

00:41:29.500 we're showing it to you so when the government knew that you had a statistically zero chance

00:41:36.800 of a child contracting and dying of this thing they also knew because it was in the product

00:41:43.220 monograph and the government of manitoba actually reproduced this monograph on their

00:41:47.720 own covid reporting site they knew there was allergic reactions they knew there was

00:41:52.620 mitochondria and perichondria they knew that there was issues it was unknown i'll read it this is on

00:41:59.000 page 40 where it says fertility it is unknown whether comertity and comertity is the commercial

00:42:07.440 name of the pfizer uh biotech uh um serum yep it says it is unknown whether it has an impact

00:42:15.520 in fertility and but they've done some animal studies so you know when i was doing this what

00:42:22.920 really upset me was um when people were talking about um um the horse paste and uh the malaria

00:42:34.600 the malaria drug or can i say those i don't know if you can say though you can say ivermectin

00:42:40.020 ivermectin and hydroxychloroquine yes yes one of the arguments that the uh the medical community

00:42:46.720 he came out with was show us the peer-reviewed papers that prove that those those two drugs are

00:42:53.960 are safe and effective yeah well there were no peer-reviewed studies on the serum not a single

00:43:02.260 one when they when they accepted it and they didn't know what what effect it would have on fertility

00:43:06.520 they didn't know what effect it would have long term they didn't know if it was carcinogenic they

00:43:11.120 still don't know it it's never been tested on pregnant women and what they've said is well

00:43:17.480 there were a few pregnant women probably by accident in the in the case study but you know

00:43:23.880 where i'm going with this yeah yeah it yeah so so then the next section at the bottom of page 40 we

00:43:30.120 actually look at uh women in childbearing years and this one was this one was near and dear to me

00:43:36.700 I have to say maybe I shouldn't say I'm going to get myself in trouble my my my youngest son and 0.99

00:43:42.640 his wife when this was all going on she was pregnant and he didn't want to do it and she did

00:43:48.420 and they argued and they argued and they put it off and they put it off finally she gave birth

00:43:52.700 and then she went out and got it because her pediatric doctor was pressuring her to do it

00:44:01.040 she had to do it he was telling her it's too much risk and and it's okay for babies and whatnot is

00:44:06.160 what the doctor told her so she went out and did it so we decided i'm going to look at this what's

00:44:11.640 the truth here so we did an analysis and again uh on page 41 you'll see i i this this information

00:44:21.820 that starts with where it says fertility uh on page 41 yeah yeah pregnant women pediatrics

00:44:28.300 uh special populations yeah yeah so it says right in it it is unknown whether comertity has an

00:44:36.560 impact on fertility animal studies do not indicate direct harmful effects but and then we get into

00:44:44.420 pregnant women women and then again this is directly from pfizer in their information on

00:44:50.760 the government manitoba website so they knew about it it says the safety and efficacy of comertity

00:44:56.640 in pregnant women

00:44:57.940 have not been established.

00:45:01.040 And then it says

00:45:02.180 the next paragraph,

00:45:03.300 it is unknown

00:45:04.100 whether comertity

00:45:05.100 is excreted in human milk.

00:45:08.020 A risk to the newborns,

00:45:09.620 infants cannot be excluded.

00:45:14.280 And then pediatrics,

00:45:17.920 the safety and efficacy

00:45:20.080 of comertity in children

00:45:21.680 under five years of age

00:45:23.000 has not been established

00:45:24.440 and yet they're giving it

00:45:25.680 to the kids.

00:45:26.640 non-clinical toxicology no clinical data reveals that there's a special risk but of course they

00:45:33.060 didn't study it general toxicity and very low doses it doesn't uh it actually resulted in 0.76

00:45:40.160 transient arrhythmia and edema but they still made pregnant women again or or push them into

00:45:46.660 getting it carcinogeneity on the next page that's the chances of getting cancer carcinogenic potential

00:45:53.580 was not assessed again i emphasize this is pfizer biotech in their product literature

00:46:00.700 on the government manitoba website and they was available to them um reproductive reproductive

00:46:08.900 development toxology and then at the bottom of page 42 that blue thing that's starting to come

00:46:16.160 up at the bottom of the page that is the that is the actual information sheet that the government

00:46:24.660 of manitoba used and it says right at the top immunization is one of the most important

00:46:31.260 accomplishments in public health over the past 50 years immunization has led to the elimination of

00:46:37.760 blah blah blah well that might be true but mrna vaccines have never ever been used in the human

00:46:45.260 population before this is a brand new technology it's not a vaccine it's not a sorry it's not a

00:46:51.260 v and the cdc changed the definition of what a v is in order to accommodate this new experimental

00:46:58.040 serum yep so if you read this and you're an ordinary person and you're worried because the

00:47:04.600 press is telling you everybody who gets this is going to die and they're telling you right in

00:47:09.180 the first paragraph that it's safe it's been done for 50 years what are you going to think

00:47:12.820 you know what gets me ken is going back just a couple of minutes you were talking about your

00:47:17.780 daughter uh pregnant and that doctor that obstetrician telling her it's unsafe you have

00:47:24.260 to get vaccinated it's perfectly safe to do so he didn't know any of that he couldn't have known

00:47:31.280 any of that he couldn't have known the long-term effects he couldn't have known he would have

00:47:37.380 known all of this stuff that you're reading right now wouldn't he oh of course but this stuff that

00:47:42.320 we're reading right now tells you they don't know what the long-term effects are right so how can

00:47:46.480 that doctor actually with a straight face and with a clear conscience say that to your daughter that

00:47:50.960 she had to get vaccinated or else it was going to be terrible well i'll tell you what i'll tell you

00:47:56.300 what the other part of this is and it's in the front of this report that i kind of skipped over

00:48:00.200 what in the heck was a manitoba college of physicians doing their mandate is to make sure

00:48:06.580 that medical services and drugs and stuff used in the province of manitoba are safe

00:48:12.320 How could they have been doing their job?

00:48:14.080 None of them.

00:48:14.540 So that's why they're all named in this criminal proceedings.

00:48:18.580 So it's not just the doctors.

00:48:21.280 The College of Physicians failed us.

00:48:23.540 You know, the medical officers failed us.

00:48:26.080 You know, it takes some old engineer to start looking at the numbers.

00:48:31.020 It's incredible.

00:48:31.880 You know, I was watching.

00:48:33.480 I'm dumb enough to sit in front of a computer screen,

00:48:36.840 and I watched some of the cross-examination of Dina Henry in Alberta.

00:48:41.380 it was a week or two ago, and she was

00:48:43.420 Henshaw. Henshaw, sorry, sorry.

00:48:45.740 Henshaw. And some

00:48:47.440 of the statements she made, you know, I felt

00:48:49.500 like a, my wife said I was

00:48:51.460 like an old guy watching a football

00:48:53.420 game, you know. Go, go, why 0.96

00:48:55.380 did you do it? And that's how I am.

00:48:57.600 And one of the questions

00:48:59.380 put to her was, well,

00:49:01.500 what did you do? What studies did you do?

00:49:03.660 What numbers did you look at in order to

00:49:05.460 determine if this was what you should be doing?

00:49:07.620 And she simply said, I followed

00:49:09.380 Quebec and I followed B.C.

00:49:11.380 what in the hell were we doing paying her all that money to do that

00:49:15.240 did you watch the court case with about a year ago now i think it's almost exactly a year with

00:49:21.000 uh what's his name here i brent rusin when he sat in front of a judge oh my goodness it's

00:49:27.320 available on youtube you should watch that it it will drive you crazy it'll be like watching

00:49:31.780 a replay of a gray cup where your team lost a year ago well you know i've been in court so often

00:49:38.380 that I was sitting there going, no, no, ask her this now, get her, and they didn't do it.

00:49:43.620 Yeah, you wonder too. I wonder about the lawyers involved. I mean, these are high-profile lawyers

00:49:48.360 in the Dina Henshaw case, the ones who were forcing her to answer these questions, and

00:49:54.280 you're right. I found their tactics wanting, and the same happened last year in Manitoba. Anyway,

00:50:01.200 let's continue on. So this graph that's in front of you is really important. I was summarizing

00:50:06.800 uh the statistics had anything to do with uh women of childbearing age and earlier on in the

00:50:13.100 a few paragraphs ahead of before this we define what childbearing age is and i think it was from

00:50:19.860 years 19 to 40 and statistics canada says the average age of pregnancies 31.9 something like

00:50:25.820 that so what it is so across the um the the top there is a total of about 5.1 million people in

00:50:34.400 canada women in canada in that age group from 20 to 30 39 um the total number of deaths reported

00:50:42.240 uh was 2890 the total number of covid deaths reported was 20 the total number of deaths due

00:50:51.380 to pregnancy was 24 uh can't and then cancer and everything suicide 341 now somebody somebody

00:51:03.940 smart in the audience is going to say ken how the heck is it that you've got in the next column

00:51:10.160 you've got the deaths for covid you've got 20 and you've got chances of dying are one in 254 000

00:51:15.740 but your chance the number of deaths in pregnancy is 24 and you're saying that the chances are one

00:51:21.140 in 15 635 when they're virtually the same numbers the reason for that is that your risk

00:51:29.740 of catching and dying of COVID affected the entire population in that age group, or in other words,

00:51:37.080 the 5 million women. The pregnancy only affected the number of women that actually got pregnant

00:51:43.940 out of the group. So in other words, instead of for COVID, your chances of contracting and dying

00:51:50.340 of COVID were one in about a quarter of a million. In other words, 20 COVID deaths divided by 5

00:51:55.200 million the chances of dying in pregnancy is 24 out of the total number of people in that age group

00:52:02.260 who actually got pregnant because you're not going to die of pregnancy if you didn't get pregnant in

00:52:07.200 the first place right so according to statistics canada and right at the bottom of the page it

00:52:12.540 tells you the numbers so just to recap here if you're in that age group your chance of getting

00:52:20.160 pregnant and die like chance of if you're pregnant of dying from the pregnancy is one

00:52:25.080 in 12 and sorry one in 15 000 your chance of contracting and dying of covid is one and a

00:52:32.780 quarter million so shouldn't we be focusing on what's going on with the pregnancies as opposed

00:52:41.640 to one and a quarter of a million which isn't even statistically significant yep yep so so

00:52:50.040 that was my little oh and the next page page 46 is all that information in graphic form and

00:52:55.940 right there and and this is this is really interesting because again they reported 20

00:53:01.860 deaths of COVID-19 24 pregnant 114 heart attacks flu with 29 29 people died of flu in the child

00:53:09.760 bearing age heart attack murder 39 were murdered that's almost double how many COVID people how

00:53:18.240 many people were reported to have died of covid and again i want to influenza is still higher than

00:53:24.340 covid19 influenza look at look at the accidents number 655 accidents and and to the right is just

00:53:34.420 that information on a graph on a bar graph so you can so no peer-reviewed detailed studies had or

00:53:43.080 have been completed on this age group the effects of the vaccine on the unborn child's development

00:53:47.420 and health are not known. The effects of the vaccine on a nursing child are not known. The

00:53:52.000 long-term effects of the vaccine on fertility are not known. This speaks volumes. The long-term

00:53:57.780 potential for carcinogenic effects of the vaccine, not known. The long-term effects for child

00:54:02.520 development, not known. The long-term effects on anyone who takes the quack scene are not known.

00:54:09.920 Absolutely right. And so when you had statistically insignificant numbers about your risk of

00:54:15.140 contracting and dying why would you take this risk because you were forced to by your employer or by

00:54:23.320 your family or by the government uh if you wanted to go out to dinner one night or maybe go to see

00:54:28.900 the jets play hockey or travel anywhere that's why right then on page 47 uh one up from where

00:54:39.760 we are and this one's really important remember we talked about uh just a little bit higher on

00:54:45.320 page 47 uh right there right there okay so remember how many people we said died of covid

00:54:52.300 even across in the whole country if you if you we took a look at what were the total number of of

00:55:01.400 of uh of pregnancies or i think it was births what was the total number of births that happened

00:55:08.520 in 2019 in Canada? And what were the total number of births that happened during 2020

00:55:15.380 when we were all locked down? Now, I don't know about you, but if I was a young person in that

00:55:22.540 age group and I was locked down with my wife and couldn't go out, you know, I might not be

00:55:27.020 watching TV after the first week. But in 2020, the number of live births in Canada or the number

00:55:34.820 of births went down it decreased by 20 000 births 20 000 babies 20 000 babies less in 2020 than there

00:55:42.740 were in 2019 so what do we how do we account for that why is nobody asking the question i don't

00:55:51.620 know what the reason for that is you'd think if people were locked up in quarantine at home

00:55:55.480 you know there might be more births you know that was that was the the joke everybody was saying

00:56:01.060 well we're going to have a big covid boom right but we're down 20 000 and in my mind that's 20

00:56:07.380 000 deaths that were either caused by um the terror that they instilled into people

00:56:15.920 the the internal social distancing that was going on you know i mean we all still see people driving

00:56:22.980 around in their car with a mask on by themselves i see guys out out on the bicycle trails on a

00:56:28.700 bicycle by themselves with a mask on yeah it's terror people are terrified so do we count those

00:56:35.760 20 000 less births as deaths maybe no one's looking into it that's a good point that's a very good

00:56:44.400 point now can we get to the part where you where you say you want to arrest some people

00:56:50.820 that's right at the beginning damn i want to get to that let's not forget that because

00:56:58.380 the people you name i went yes excellent now on page 49

00:57:04.420 uh this is this is just a a quick information fact sheet on what we just talked about

00:57:12.920 so you can take the sheet you can copy it you can hand it to somebody and it's got

00:57:17.440 it's a title what are your odds and so it does all of the all of the percentages if you're over

00:57:23.820 70 years of age if you're 19 years of age all ages and it talks about what the leading causes

00:57:29.500 of death were in each one of those in each one of those um age groups so you can you could take

00:57:35.040 this page there's a lot of information on it and it's easy i believe it's easy to understand

00:57:39.320 this is from the manitoba government though yeah or no this is this is our this is uh this is uh

00:57:45.340 Okay, cool. All right. So number of people, 8,139,512. This is all people in the country who

00:57:54.220 are between the ages of zero and 19. And then so on. It gives you all the ages leading causes of 0.95

00:57:59.440 death. If you're under the age of 19 and 20, 22 COVID deaths. Yeah, that's actually pretty good.

00:58:05.460 The next one, it talks about mRNA and pregnancy. And so again, it gives the table that you've

00:58:14.700 viewers have already seen and then it talks about the facts and you know the mrna have never

00:58:23.340 are new they're a completely new technology had never been used in humans before there's no

00:58:28.880 long-term studies the safety and efficacy in pregnant women hasn't been established and when

00:58:34.920 i say it hasn't been established it hasn't been tested it's still not tested it's on it's unknown

00:58:40.640 if it's inhuman, if it comes out in the breastfeeding milk, the risks to the babies is

00:58:46.440 unknown. There's never been any studies. It's unknown whether they, if they have an impact on

00:58:51.740 fertility, you know, maybe you take it now and now you're in, you don't have any fertility a year

00:58:56.260 from now, a month from now. No one knows. Anaphylactic, anaphylactic has been reported in

00:59:04.320 people with it. So you're having a baby, you're pregnant, you take this, you could have a severe

00:59:08.420 allergic reaction and die carcinogenic potential in other words can it cause cancer don't know

00:59:14.160 toxicity don't know genotoxicity i mean like this is something that could be passed to

00:59:22.200 through generations you don't know because it's it's it's an mrna vaccine it causes your body

00:59:28.720 to do something it wouldn't normally do with synthetics wow and and the and the next next

00:59:34.480 one that you're looking at right now it's just overall comments on on the serum safety and this

00:59:40.300 was all i didn't make this up it's not opinion this is what pfizer biotech says in their

00:59:46.920 documentation and i think there's a link to the documentation in one of the appendices

00:59:51.760 the appendices aren't actually included in the main document there's a second download for that

00:59:56.840 because some of those some of those uh appendices are 550 pages and we're going to get to that

01:00:02.800 one of them is 551 pages long we're going to be here all night everybody so sit down grab

01:00:09.680 yourself a coffee it's going to go on a while so i won't read all that for folks but

01:00:16.380 i'm you know of course now this something here too i like this one the harm caused by the

01:00:23.180 mitigative measures um the masking the social distancing this one is really really interesting

01:00:31.780 and you really want folks to listen to this one if you weren't already listening to an old

01:00:36.720 engineer talk is you know it's hard to stay awake well the statistics are astounding that you've put

01:00:41.960 together well you know the interesting thing is is that the government of canada actually did

01:00:49.960 what they called the canadian influenza plan pandemic plan and i've got it here i've got

01:00:57.180 That was 2005, 2006, something like that, wasn't it?

01:01:00.240 Here, I want to see the edge of it.

01:01:02.400 Let's see.

01:01:02.780 Where's my camera?

01:01:03.480 Ah, there we go.

01:01:04.160 That's it.

01:01:04.840 You see?

01:01:05.600 Yep.

01:01:06.360 So they did this plan.

01:01:08.500 And pretty much every person in the medical community today contributed to this plan in 2006.

01:01:16.460 Teresa Tam was the chairman. 0.73

01:01:19.680 What's the name of the lady who's a chief medical officer in BC right now? 0.89

01:01:24.300 Oh, Bonnie Henry.

01:01:26.580 Bonnie Henry, she's in this.

01:01:28.420 She was the medical officer at Toronto at the time.

01:01:31.500 Anyway, this document was supposed to be the guiding document to what would happen in Canada if the influenza type pandemic struck.

01:01:42.940 551 pages long.

01:01:45.080 It describes everything.

01:01:47.220 It describes exactly how and the characteristics of what they said happened here with COVID.

01:01:55.580 Exactly.

01:01:56.580 and in different sections they have um

01:02:01.540 recommendations as to what they should do about it and we're going to get into that

01:02:08.540 and by the way they use this plan ken didn't they use this plan and was it 2010 when h1n1 hit

01:02:14.680 no we get into that too i do get into that little later okay okay see there's some in reading the

01:02:22.880 89 pages this afternoon apparently i skipped over some very important sections you know

01:02:28.720 anyway they they actually talk at the influenza plan about masking and you see these um in the

01:02:38.320 on page um 52 here we are uh uh masking forced uh yeah yeah mandated vaccination closure of

01:02:49.900 businesses lockdowns other measures that were implemented but not recommended by the pandemic

01:02:53.800 plan so this plan this very plan goes back to 2005 the one that they've worked on us now

01:03:00.940 oh man and and like i said anybody wants to there's nine pages of people listed and organizations

01:03:09.860 listed in this thing who all contributed to this and they're the same players now in this section

01:03:17.200 of the report there's these uh mauve colored boxes there's these black boxes with kind of

01:03:22.860 red ink in them uh there you go there's one 2.5 go down to the next one which is 7.4 okay there we

01:03:32.400 go so this is what the canadian pandemic influenza plan says about the use of masks and chapter seven

01:03:42.700 has to do with us, the public. And it says, disadvantages. Hands and other surfaces may

01:03:51.900 be contaminated when the mask is removed. Mays cause panic if availability of masks is limited.

01:03:59.480 Public purchase of masks may limit the availability. Not all members of the public

01:04:03.980 can afford masks. It is not feasible to wear masks constantly for the duration of the pandemic.

01:04:09.880 And the last one, use of masks, apart from infection control practices, is of limited effectiveness and may provide a false sense of security.

01:04:21.460 Now, the CDC did at least two studies on this.

01:04:25.460 And what they did was they studied the use of masks by doctors in an operating room situation.

01:04:31.660 and they said and they one study was looking at the effectiveness just overall and the next study

01:04:37.720 was looking at the importance of proper fit of those masks but again it was in the context of

01:04:44.900 doctors and nurses in an operating room and they said in the study this does not apply to the

01:04:50.860 public in general because he you'd never know how they touch the touch the mask or they touch

01:04:57.560 anything else and and the breath goes through the mask anyway and anyway the canadian pandemic

01:05:02.880 plan says masks are ineffective and yet we used them and we're still using not just using them

01:05:09.400 i mean they're forcing us to use yeah now on page 54 the top conclusion conclusion where it says

01:05:15.900 conclusion yeah conclusion this this is not my words anything in a box in this report like this

01:05:22.240 is taken out of one of the government's documents so the conclusion is using masks the measure is

01:05:28.800 not feasible or sustainable on a population basis it is not likely to be effective in reducing

01:05:34.360 disease spread in the general population and is not recommended as a community-based strategy

01:05:39.760 so why in the hell did we do it Teresa Tam when you were the chairman of this

01:05:46.380 well they were saying at the beginning that it wasn't it was ineffective when that question was

01:05:52.940 posed to these people to the brent rusens and the theresa tams and the dina henshaws and the

01:05:58.480 bonnie henrys of the world when those questions were posed they would actually chuckle and say

01:06:02.900 no no and then a month later two months later they were recommending them and then they were

01:06:07.580 recommending wearing two masks and then all of a sudden masks became mandated and then three masks

01:06:13.440 I saw Dougal Lamont, the leader of the Manitoba Liberal Party, about a year and a half ago, wearing three masks at a press conference once.

01:06:22.840 It was absolutely ridiculous.

01:06:25.820 And I wondered what he was trying to prove.

01:06:28.100 As you can see, Justin Trudeau didn't wear a mask almost the entire time he was over in Ukraine watching U2.

01:06:34.620 But then he comes back to Canada, a country that's 90 percent vaccinated, according to these federal statistics, with a mask on.

01:06:43.440 well what does that tell you but he also fled the capital during the truckers uh visiting ottawa

01:06:50.340 and uh yes he did and i wonder if he was wearing a mask as he was fleeing yeah

01:06:57.400 uh it's acknowledged individual people who are wearing a recommended mask properly at the time

01:07:04.580 of exposure may benefit from the barrier that a mask provides uh but then again you know they

01:07:09.500 don't go into the the deficiencies i had a guy who specializes in workplace safety regarding masks

01:07:16.400 and air currents and air flows inside buildings chris schaefer is his name he's out of edmonton

01:07:21.940 he was on the show a few months ago and he said these things they're useless the only way to

01:07:28.320 protect yourself from an airborne pathogen virus which is 1000 times smaller than any hole in the

01:07:35.380 filter of of a mask no matter how many of them you have on your face uh he said the only way to

01:07:40.940 do it is is to do the spacesuits they do in virology labs the ones you see on on tv shows

01:07:46.620 and movies yeah that's it yeah the taping of the hands and and the whole big spacesuit thing and

01:07:52.320 your own airflow that comes from outside the contaminated area where you're in

01:07:56.960 so these masks are useless absolutely and it says that the very last sentence in that paragraph

01:08:01.940 out. Therefore, members of the public, sorry, it was in there. I've got it in front of you. Well,

01:08:08.260 where was it? Collusion. As well, individuals caring for cases in. No, no, sorry. Just above

01:08:14.040 that, it says, therefore, members of the public may wish to purchase and use masks for individual

01:08:18.840 protection. However, outside of known high risk settings, like hospitals with cases, this would

01:08:25.000 not be an appropriate use of public resources. You know, it's funny, too, the narrative back

01:08:30.660 when they first introduced these things as a legitimate idea was that it's not to protect you

01:08:36.120 it's it's to protect others you you are the source of the infection so they try to to put on us this

01:08:43.320 idea of asymptomatic spread even if you don't uh show any symptoms you can still spread the virus

01:08:50.540 around which has been debunked so many times it's absolutely astounding that people are still

01:08:55.340 believing this nonsense but they are and that's because of the media where are we going next ken

01:09:00.820 well you know just to lighten it up a little bit

01:09:04.760 sure i'm in for that one of the things here that occurred to me and this is a true story

01:09:13.420 about six eight months ago i got phoned by a lawyer and they wanted me to take a look at a

01:09:18.460 house somewhere and uh the house uh was the basement was collapsing and by the way this is

01:09:23.940 relevant so the basement was collapsing and they wanted to blame uh the uh one of the rural

01:09:29.480 municipalities for it because the yard had flooded and i went out there and took a look at the house

01:09:34.540 and i looked at the basement and there was like 10 things the matter without a basement it was

01:09:38.980 this wasn't built right that wasn't built right that wasn't built right so i phoned the lawyer

01:09:43.260 and i explained to them that yes the basement collapsed because the the rural municipality

01:09:49.260 municipality allowed it to flood can you still hear me because my earphones just said disconnected

01:09:54.680 yeah no you're good okay i guess it went over to the computer so um when i explained to the

01:10:02.740 to the lawyer that had it not been for the 10 things a matter with the house basement the

01:10:07.880 flooding wouldn't have caused collapse the lawyer immediately said to me well we haven't got a case

01:10:12.780 we can't prove it then we the case is over and as i was driving home i was thinking about that and

01:10:18.200 according to Statistics Canada, I think it's like 75% or so of everybody who is reported to have

01:10:25.880 died of COVID had at least three or four morbidities. Three comorbidities and 78% were

01:10:35.000 overweight. Yes. So why is this not the same as my house case? The house had 10 or so comorbidities

01:10:43.220 in the basement. Had it not been for those comorbidities, the flooding would have never

01:10:47.680 caused a collapse and yet the owner couldn't sue because of the comorbidities but in this instance

01:10:53.760 with people in covid you've got three or four or five or six comorbidities you get covid and you

01:10:58.340 die they blame it on covid not the leukemia or the cancer or the overweight or the copd or whatever

01:11:03.580 the hell you had but in in law like with with in my instance you couldn't you couldn't say it

01:11:10.620 happened because of the rm because it wouldn't have happened without the comorbidities well

01:11:15.000 this is because this is because people are not thinking they're they're feeling right and and

01:11:20.680 this is what does ben shapiro say my facts don't care about your feelings yeah but that's what

01:11:25.400 this whole thing has been about for two years it's been about feelings yeah you know it's funny i was

01:11:30.200 walking across portage avenue i'm going to say two or three months ago uh there was a rally going on

01:11:35.480 or maybe it was the trucker convoy or something at the legislature but anyway i was walking across

01:11:40.200 portage and there was a guy coming at me this way i was going that way and he was wearing a mask

01:11:45.700 outside in the freezing cold windy day and i said dude why are you wearing that mask and he turned

01:11:51.060 around and he went i couldn't understand what he was saying but he was yelling at me and i said

01:11:56.520 what i'm just asking you a question it was like why are you wearing the mask so clearly that is

01:12:02.700 not a response based in logic or critical thought that's a response based in emotion

01:12:09.780 and that's what we've been dealing with for two years ramping up the fear as you pointed out

01:12:15.700 earlier ken so so we're on page 55 here i see yeah the next bunch of pages talk about face masks and

01:12:25.620 there's quotes out of different reports and i won't get into that here folks can read that

01:12:29.240 there's references to the to the different cdc uh studies uh different articles on it and so

01:12:35.500 again this information was known to the um to the health care professionals they knew it

01:12:43.020 they had it in their own pandemic influenza plan they knew it but they still did it and the question

01:12:50.000 needs to be asked and perhaps maybe it's a secondary question maybe you ask them after

01:12:54.340 they're all in jail i don't know um but that you know this was a crime um in any case so

01:13:02.580 starting in page 59 we talk about the um the uh the the forced uh situation here and we tell you

01:13:13.680 about when it was and we show you the health canada announcement which says thanks to advances

01:13:18.940 in science and technology and unprecedented level of global cooperation we have reached

01:13:24.240 a critical milestone and we've authorized the first serum keep in mind that to this day

01:13:32.260 they haven't answered any of those questions we talked about before they're telling you it's safe

01:13:36.680 but they haven't answered any of those questions what's the long-term effects can it affect

01:13:42.880 fertility does it get into the milk why would you put it in a child when they've got a risk of

01:13:48.080 myochondritis and they have a zero chance a one in four million chance of contracting and dying

01:13:55.100 of of the disease why would you take that risk that unknown risk and in that document as well

01:14:02.860 in that square box they talk about um use and children 16 years of age and older and again

01:14:11.100 because i got old and nothing better to do i listened to the hearings uh that the cdc held

01:14:17.540 when they were talking about authorizing the shot for children under the age of 16.

01:14:24.640 And I can't quite remember, but there was 15 or 16 doctors on that panel.

01:14:29.580 And they went through all of the risks and all of the unknowns.

01:14:32.560 And every single one of them, I believe, I may be wrong, there may have been one,

01:14:36.800 all voted, don't give it to kids.

01:14:39.100 Because there's too many unknowns and there's not enough risk of the disease.

01:14:43.120 And the head of the CDC, I can't remember the lady's name, she authorized it anyway.

01:14:47.540 rachel walinsky yes why why did she go against those doctors i think it was 16 of them on that

01:14:55.160 committee why have the committee meeting yeah because that was just for show covid theater

01:15:03.460 more covid theater and uh you know the decision had been made as you point out ken i mean the one

01:15:10.260 thing that stands out so far in this show to me is the pandemic readiness report that you produced

01:15:17.380 you have in your hands there from 2006 um 2006 that wasn't implemented during the h1n1 pandemic

01:15:26.900 that wasn't implemented during any other pandemic but was implemented here even though they knew

01:15:32.960 what they were doing would cause many other problems considering the lethality or lack

01:15:40.300 thereof of this particular virus and how far they went with those measures and how long they lasted

01:15:48.000 you're right they are criminals and every single one of them absolutely i mean it's it boggles the

01:15:55.920 mind what they were doing and uh another thing that and i think it's somewhere on page 60

01:16:01.760 the manitoba government decided on their own based on their own expertise by the way

01:16:07.280 when they started running short of this this this shot and that shot they said that it was okay to

01:16:13.340 mix in other words you could get one shot out of Pfizer one shot out of Moderna do you know what

01:16:18.080 both Moderna and Pfizer say about that yeah they say no don't do that they say no don't do that

01:16:22.960 but and then there was the other one the AstraZeneca too which is not

01:16:27.300 mRNA vaccine but they said that was okay to mix too with the mRNA vaccines but the

01:16:35.620 manufacturer said no but i guess folks like uh miss henshaw who was just following quebec and

01:16:41.320 following bc i'd like to see those ones under oath and who i wonder who they followed did they

01:16:48.120 follow ontario or pei i don't know no one seemed to no one seemed to do any research isn't that

01:16:54.340 interesting that uh you know i think a lot of these measures as you point out you know dina

01:16:58.600 henshaw said well i was following british columbia and quebec well okay who was the first canadian

01:17:03.460 province to implement all of this nonsense uh where did they get it from yeah did they get it

01:17:08.040 from the united states did they get it from the uk did they get it from australia where did their

01:17:11.860 initiative come from or uh are there darker shadier figures uh atop some corporate pyramid

01:17:18.220 structure that we're telling them this is what you have to do because you're on our payroll

01:17:23.360 i mean dude there's a guy named kieran moore he is the uh the chief medical officer of ontario

01:17:30.960 all right this guy up until 2016 worked as a scientist developing vaccines for Pfizer

01:17:41.460 and now he and this was midway through the pandemic he was appointed to this position he

01:17:48.780 wasn't in that position when the whole thing started it was about a year maybe a year and a

01:17:53.360 half after all of a sudden he is the Ontario chief medical officer with ties to Pfizer and nobody

01:18:00.820 question that because it happens everywhere constantly yeah you know part of the problem is

01:18:09.080 is that we watch all of the screaming news from down south and they all scream about these things

01:18:14.260 nothing happens but they scream about it but they scream so loud we don't know what's going on in

01:18:18.460 our own country and it's the same damn thing yeah oh i like the effectiveness parts too when you

01:18:24.120 were talking or when we i've heard people talk about the effectiveness and i had a science student

01:18:28.840 on the other night talking about this very thing 95 effectiveness clinical trial showed the beginning

01:18:34.180 week one after the second dose the Pfizer BioNTech Comirnaty vaccine was about 95% effective

01:18:40.660 but we know this to be not true absolutely as a matter of fact in Pfizer's information sheet

01:18:47.520 they they claim this but they only claim it for the first one or two weeks and they say it's

01:18:52.980 unknown how to perform over the long term well to me long term might be 10 years or 20 years it's

01:18:59.140 not two weeks right and again again our medical people knew this i mean unless you tell me they

01:19:06.760 can't read because you'd think that they read those things you know i've often wondered how

01:19:11.660 much money you and i spent on this canadian pandemic influenza plan that's 551 pages long

01:19:19.980 and has nine pages of contributors and we didn't use it and it gets worse in that pandemic plan

01:19:26.540 they recommend that the government federal government stockpile two antiviral drugs and

01:19:32.620 i believe and somebody might correct me on this but i believe they spent between 28 and 30 million

01:19:37.460 dollars stockpiling those two antivirals just in case this happened how much of those antivirals

01:19:42.720 did they use? None. Why not? Because they had something new and exciting coming in and they

01:19:51.140 were all bought and paid for. Think about this. Pfizer, just Pfizer, never mind Moderna or

01:19:57.020 AstraZeneca or Johnson & Johnson, any of the other drug companies, just Pfizer. $40 billion in

01:20:03.660 revenues in 2021 40 billion dollars so let's hack off 10 billion dollars of that expenses taxes

01:20:13.360 whatnot and let's say 30 billion dollars you could bribe or have every single doctor and politician

01:20:21.460 in your pocket with two billion dollars one billion dollars bribe them all everybody's got

01:20:27.920 their price and then after that you're golden right you've got everybody in your pocket that

01:20:35.920 you need in your pocket and you're still making 29 billion dollars free and clear you know what

01:20:43.400 the thing is you don't need to make that much money in canada to make that happen because

01:20:47.260 allegedly a certain company that's three-lettered company that it's in montreal it starts with s

01:20:53.600 did that because they bribed all those officials and they got into all that trouble and it all

01:20:58.540 disappeared are you talking about snc lavallon who just got their uh the court injunction that

01:21:09.660 they wanted two or three years ago when trudeau was interfering in our justice system yeah they

01:21:13.660 got it it kind of flew under the news radar but it happened late last week they got that exemption

01:21:18.640 and said they're golden now.

01:21:19.620 They don't have to worry.

01:21:20.840 Mike Boydjakas of Voyage Funeral Homes

01:21:23.940 has just texted me and says,

01:21:25.120 tonight's show proves exactly

01:21:26.860 what I've been telling people

01:21:28.460 for the past two years.

01:21:30.380 Incredible work by this guy.

01:21:32.980 So there's a compliment for you, Ken,

01:21:35.880 on the work that you've done here.

01:21:38.360 Where are we going to take this now?

01:21:40.520 What do we do with this?

01:21:41.580 You know what?

01:21:42.240 That's an excellent question.

01:21:43.420 I was hoping you'd think of that

01:21:44.900 because I've got all those other things

01:21:46.560 to talk about,

01:21:47.000 but I really wanted to talk about that.

01:21:48.640 I, since I, since that sweet, small voice got me involved in this, I'm going to get into trouble, you know, but you know, I started talking to people, and I've talked to thousands of people now, I was at a rally a while ago, a few weeks ago, and there were hundreds of people there, and you know what, they were speakers at that rally, and it was just gloom and doom, this is going to happen, that's going to happen, this is what's happening, the world's coming to an end, and people, I was watching their faces,

01:22:17.220 and they were shocked and they were depressed

01:22:19.200 and they didn't know what to do.

01:22:21.720 I've got something for you to do.

01:22:23.340 I'm asking you to do.

01:22:24.300 It's easy.

01:22:25.900 This report is grassroots.

01:22:29.160 We've made it available to everybody.

01:22:31.720 If you don't know where it is

01:22:34.000 and you can't find it

01:22:35.340 because some people,

01:22:36.200 even if it's on a post,

01:22:37.280 they can't find it.

01:22:37.920 You can email me at thetruefactsc19 at gmail.com.

01:22:43.040 that's the true facts c19 at gmail.com but people are asking what am i supposed to do i feel so lost

01:22:58.060 and and i'm going to prove what i'm talking about because i got a phone call from shadow today

01:23:03.220 and he said to me we've got to talk and i said okay he says my inbox is full of this stuff this

01:23:11.340 report people are dropping it on my desk and I will guarantee you no insult to either of us

01:23:16.380 had I walked into the studio and dropped a copy on your desk probably nothing would have happened

01:23:20.840 but you got a dozen copies and all over this country from coast to coast I've been getting

01:23:28.740 emails I've been getting phone calls I've been getting all kinds of things and people are sending

01:23:32.380 it people a group in Kelowna called me today and they printed off I don't know how many copies is

01:23:37.940 and they walked into the police stations and they handed it to them and said, what's going on with

01:23:41.960 this? And other people are mailing it to their MPs, their MLAs, their minister, their church

01:23:48.700 minister, their neighbor. You know what? When I send something to that person who's supposed to

01:23:56.440 represent me in Ottawa, and I've sent him many things, I just get a little computer-regenerated

01:24:01.460 thing back and he couldn't give a damn about me. James Bazan, is that the man you're talking about?

01:24:05.820 Well, I would, I will, I will say the alleged useless, but you know, I sent this thing to,

01:24:14.900 we sent it to them registered and they just ignored it. But when they get 500 of them

01:24:20.980 and each of them get 500 of them. So people are asking me, one of the things people are asking

01:24:26.560 me is, okay, I'll send it, but I don't, I want to make sure I don't send it to the same people

01:24:29.920 you did no send it to the same people i did send it to your minister send it to your mla send it to

01:24:39.080 your police chief walk in there and hand it to them and say what are we doing about this and again

01:24:44.560 it's not the power of me and it's not the power of shadow it's the power of the thousands and

01:24:51.080 tens of thousands of you that want to do it and and it's just pushing a button and if you're

01:24:57.180 inspired you print it and go yeah well you know somebody was telling me a while back it's more

01:25:03.080 powerful to actually present it to them uh in hand because i think they have to log that

01:25:09.700 yeah something as opposed to like just getting an email and they could just take that and go

01:25:14.100 whatever put it in the trash but if you actually print it out guys it's 89 pages okay so what you

01:25:19.740 got a printer at home you've got 89 pieces of paper you might go through a cartridge of printer

01:25:24.300 I don't know. But the point of the matter is, like, get a hard copy of this in the hands of a police officer, police chief, police sergeant, a mayor, city councillor, town councillor, Reeve, MLA, MP.

01:25:39.660 It doesn't matter what what party they're with. It doesn't matter. What matters is, is this a good and honest person?

01:25:46.260 Is this a person who is going to look at this and go, you know what? There's something we need to do about this because all it takes is one.

01:25:52.380 yes that's the thing all it takes is one person to the right person to get this in their hands

01:25:58.880 you guys have seen the information that was presented tonight you've seen it we went through

01:26:04.420 it with a fine-tooth comb can put this together how long did that take you can

01:26:09.020 somewhere between 140 and 180 hours okay so that's a long time you were dedicated to this project

01:26:16.900 and you pulled off an amazing piece of work here guys this this tells us everything we need to know

01:26:23.460 statistically using the government's own numbers everything they've said has been a lie and they

01:26:31.440 knew it or they should have known it as you point out repeatedly in this document thank you ken for

01:26:36.900 doing this i really appreciate it man i really do can you please give us that email again it's

01:26:42.100 the true facts c19 at gmail.com okay the true facts the document also exists on this page you

01:26:52.800 guys on this facebook page uh it exists on ken's facebook page as well i believe um go ahead and

01:27:00.300 and make friends with ken on facebook we could always you know what the more connections we have

01:27:05.900 to each other the better this is about building communities guys so get out there and uh can you

01:27:11.120 tell my voice is getting raspy it's been like an hour and a half here just straight but you've been

01:27:14.860 the one doing the talking tonight there's one other thing i want there's one other thing i want

01:27:18.100 to show absolutely we want to make this as easy as possible for folks to do and one of the other

01:27:23.640 things that's available for download on our site is this little card you see it's got a picture of

01:27:29.240 the oh hang on some headlines yes there we go there we go and then on the back there's a qr code

01:27:37.180 you let your phone stare at this and it will download the report into your into your phone

01:27:42.180 so you can go out and and the template for printing these off it's an avery uh template

01:27:47.600 prints 10 at a time double-sided and you can download that you can ask ask for that we'll

01:27:52.380 send it to you and you can print off your own little business cards because sometimes

01:27:56.100 you know the the address for the download is it's a paragraph and a half long but you can

01:28:01.180 hand these out you can hand them out in the street you can hand them out to your minister

01:28:04.080 You can add them up to anybody.

01:28:07.060 There's a lot of people who are against QR codes on this show.

01:28:10.700 I can see.

01:28:11.680 I understand that.

01:28:12.940 You get it, right?

01:28:13.880 I mean, whoa, stay away from the QR codes, Matt.

01:28:17.260 Thank you so much, Ken, for coming on tonight.

01:28:19.340 Thank you for all the work you did on this report.

01:28:21.260 We're going to try and connect as many people as we can to you, as you guys see his name right there at the bottom of the screen.

01:28:26.140 Ken Drysdale.

01:28:27.680 Find him on Facebook.

01:28:29.380 Make friends with him.

01:28:30.660 Help him get the word out.

01:28:31.860 help me get the word out and if we just get it to the right person or the right people

01:28:36.320 we may start to see some changes sooner rather than later ken again thank you for the work you've

01:28:42.940 done and thank you for coming on the show tonight thanks for having me all right that is ken drysdale

01:28:47.980 he is based up near grand beach put together some fantastic work as as you guys know i did have a

01:28:55.720 few other things i wanted to get to on the show tonight but i guess we can save them for another

01:29:01.080 night because we're already 90 minutes into the show and i know that there's some people

01:29:05.160 who probably want a chance at winning that patriot t-shirt from jeff and his gang at tacit

01:29:10.560 investigations and security but before we go ahead and give away the t-shirt tonight let's

01:29:16.140 talk about our sponsors they are canada nanosilver.ca with the silver supplement family safe

01:29:23.380 all natural made with the power of silver cell technology no preservatives no artificial

01:29:29.920 ingredients no artificial dyes no flavors no additives this is 100 all natural sugar-free

01:29:38.000 gluten-free non-gmo vegan vegetarian scientifically tested tested by real actual scientists not

01:29:46.240 telling you to follow the science all of the actual scientific evidence you need to find out

01:29:52.720 what nanotechnology silver nanotechnology is is on the website right here 100 satisfaction

01:29:59.520 guaranteed and yes they do have the stuff for your face that i was talking about in the bottle

01:30:08.000 the little brown bottle with the dabber thing it works very well you might want to go ahead and hit

01:30:13.820 the contact button here on canadananosilver.ca and check it out for yourself to say hey kev hey neil

01:30:18.800 you guys still got that face stuff they'll say yes how much would you like canadananosilver.ca

01:30:24.900 canadananosilver.ca the show is also brought to you by tacit investigations and security here is

01:30:31.160 the telephone number 204-952-4775 24 hours a day seven days a week 365 days a year and you can

01:30:38.860 find them online tacit-investigations.com tacit-investigations.com all right we're going

01:30:46.820 to do the t-shirt the patriot t-shirt giveaway guys i see some of you are already starting to

01:30:53.880 write down some numbers and i haven't even given you the parameters yet here's what the t-shirt

01:30:59.620 looks like that's the front boy it's really tough to hear me through that fabric isn't it

01:31:05.040 you know what here's something that you guys can do when it comes to the maskers out there

01:31:11.820 if they try to talk to you let's say they're a clerk in a store right and this this happened 0.84

01:31:16.880 to me the other night i was uh standing in the lineup at the grocery store

01:31:21.880 and finally i got to the cashier and she still got the plexiglass shield up and

01:31:27.840 wearing the mask and she goes she went and i said i'm sorry what i said i can't hear you you know

01:31:40.760 what she did she goes that'll be 75 84 please she took the mask off and she kept it off

01:31:48.220 so maybe that's a trick that you could use as well just make believe that you can't hear them

01:31:54.320 or you're having a very difficult time hearing them the number tonight guys is between 50 and 60

01:32:00.300 it's between 50 and 60 but what is the number that i am writing down right now you don't have

01:32:12.980 to be first you just have to be right and i know i explain this in almost every show but

01:32:18.780 um the thing is i see the comments come in in a different way than you guys do i see them in a

01:32:27.360 different order right and a different pace so what i see as first coming in here you might not

01:32:34.800 so i don't go for the first number the first person to get the right number because it's just

01:32:40.120 it's unidentifiable so i just say just be right just be right with that number which is

01:32:46.840 hold on daniel sitik daniel chichik oh i probably butchered your name but you said 54

01:32:56.920 or is it daniel daniel or daniel chichik c-i-c-e-k because the numbers are flashing by so

01:33:07.140 fast i can't even keep track of them right now daniel or danielle chichik sisek sisek

01:33:13.220 i'm making it worse with every passing second c-i-c-e-k anyway congratulations daniel or

01:33:24.440 danielle i didn't i don't remember if there's an e on the end you have won the t-shirt from

01:33:29.640 tacit tonight please message me on facebook or go ahead and email me shadow davis at gmail.com

01:33:38.300 s-h-a-d-o-e-d-a-v-i-s at gmail.com uh with the information your your preferred size uh your

01:33:47.140 address and your telephone number and we'll have your prize delivered to you as soon as we possibly

01:33:52.420 can and that's it for the show tonight you guys all right i'm gonna let you in on a secret before

01:33:58.600 i go i am hoping thanks to a very good friend of mine i'm not sure if she's made any comments

01:34:07.200 tonight her name is diane diane is a very big fan of susan stanfield and so am i and so are many

01:34:18.120 other people um so we're going to try and see if we can get susan stanfield on the show

01:34:23.560 So some point this week, hopefully, Susan was on with the Grizzly Patriot last week, and hopefully we can get her on the show this week.

01:34:33.560 Also, I am working hard on getting Dr. David Martin on the show.

01:34:41.040 So keep your fingers crossed for that.

01:34:43.360 That will be an amazing event if we were able to make that happen.

01:34:47.820 So those are the updates as far as guests are concerned.

01:34:51.920 You guys have a great night.

01:34:54.280 Great rest of the night.

01:34:56.000 It's already way later than I usually go.

01:35:00.200 I will talk to you again tomorrow night at 8 o'clock central for another Shadow at Night livestream.

01:35:06.960 I love you all.

01:35:09.700 See you soon. Bye for now.

The Shadoe Davis Show - May 17, 2022

Shadoe at Nite Monday May 16th⧸2022 w⧸guest Ken Drysdale

Episode Stats

Transcript