Detecting language using up to the first 30 seconds. Use `--language` to specify the language
Detected language: English
[00:00.960 --> 00:06.960]  If you spend a lot of time watching the media, you probably would think right now SARS-CoV-2 is so
[00:06.960 --> 00:10.480]  bad that as you walk from the grocery store through the parking lot out to your car,
[00:10.480 --> 00:15.280]  you almost have to step over dead bodies. As we approach the end of the summer surge,
[00:15.280 --> 00:21.520]  government and media are doing their very best to scare everyone into getting vaccinated.
[00:22.240 --> 00:27.200]  I don't judge a person for getting vaccinated or not getting vaccinated. It's a personal choice.
[00:27.200 --> 00:33.680]  However, as with any choice that impacts your health, it should be made from knowledge,
[00:33.680 --> 00:37.680]  not from fear. There are many different data sets you can look at to make that
[00:37.680 --> 00:41.840]  decision for yourself. Today, I'm going to share one I think is important.
[00:41.840 --> 01:05.760]  A new preprint study came out on July 8, 2021, updating IFR numbers. As you can imagine,
[01:05.760 --> 01:10.160]  a study relying on 18 months of data is going to be a lot more factual, a lot more realistic
[01:10.720 --> 01:15.920]  than the IFR numbers that were thrown around earlier with only a few months of data.
[01:16.720 --> 01:21.200]  Those numbers didn't seem very credible at the time, and this new study bears that out.
[01:22.560 --> 01:33.360]  What is IFR? Infection Fatality Rate. IFR is a means of looking at the estimated total number
[01:33.360 --> 01:40.800]  of infections in a community and then judging the deaths within the total number of infections in
[01:40.800 --> 01:48.560]  that community. In contrast to that is the case fatality rate. The case fatality rate, CFR,
[01:48.560 --> 01:54.320]  is where they take the number of identified infections and they look at the number of deaths
[01:54.320 --> 01:58.400]  within that pool. As you probably were, if you've been watching me for any length of time,
[01:58.400 --> 02:04.960]  the number of identified infections is a very small fraction of the number of total infections.
[02:04.960 --> 02:10.560]  So when you look at total deaths within a small community of only identified infections,
[02:10.560 --> 02:18.240]  you're not really getting a realistic useful number. Conversely, IFR does give you that
[02:18.240 --> 02:24.480]  realistic useful number. Research for producing the correct IFR numbers relies heavily on
[02:24.480 --> 02:30.240]  seroprevalence. In other words, they use antibody testing a lot, and once the researchers have their
[02:30.240 --> 02:34.640]  seroprevalence numbers fixed, then they take a look at the deaths within that same community,
[02:34.640 --> 02:41.520]  that same pool, and that gives them and us the IFR. The new study we're talking about fixes the IFR
[02:41.520 --> 02:48.000]  per age range. So for instance, 0 to 19 and 20 to 29 and so forth. So let's take a look and see what
[02:48.000 --> 03:02.080]  the IFR is for each of the age groups. The first one, 0 to 19, the IFR is 0.0027.
[03:02.080 --> 03:07.760]  Okay, let me translate that to be clear in case people are a little wee bit math challenged.
[03:07.760 --> 03:16.000]  That is not even, does not even reach three one thousandths of one percent. By the way,
[03:16.000 --> 03:22.000]  this is worldwide. They looked at, I think, more than 14 countries, and what they came up with was
[03:22.000 --> 03:26.880]  within this pool, total 100 percent of the people who have been infected, the percentage of people
[03:26.880 --> 03:37.680]  who can be expected to die, to perish from COVID-19 does not even reach three one thousandths of one
[03:37.680 --> 03:48.480]  percent in this 0 to 19 age range. The next group, 20 to 29 years of age, the IFR is 0.014 or
[03:49.280 --> 04:03.120]  1.4 one hundredths of one percent. I know, terrifying, right? 30 to 39, 0.031 percent,
[04:03.680 --> 04:18.080]  three one hundredths of one percent. 40 to 49, 0.082 percent, which is eight one hundredths
[04:18.720 --> 04:30.320]  of one percent. Again, terrifying. 50 to 59, 0.27 percent, less than three tenths of one percent.
[04:30.320 --> 04:40.160]  And 60 to 69, 0.59, roughly six tenths of one percent. I should mention these numbers I'm
[04:40.160 --> 04:45.840]  sharing with your averages as an example. The numbers were a wee bit higher in high
[04:45.840 --> 04:50.480]  income nations because personal lifestyle choices in those high income nations
[04:51.200 --> 04:57.440]  were less healthy or more unhealthy, which is really sort of odd when you think about you're
[04:57.440 --> 05:02.560]  very, very fortunate, you're in a high income country, and you actually make decisions that
[05:02.560 --> 05:09.280]  are less healthy, and therefore you have a greater chance of dying. As we went through the list,
[05:09.280 --> 05:14.560]  I don't know if you noticed, we're talking about zero all the way through age 69, I don't know if
[05:14.560 --> 05:21.680]  you noticed. Not a single one of those age groups, the IFR, reaches even one percent,
[05:22.320 --> 05:29.520]  the highest one being approximately one half of one percent. And this is what government and
[05:29.520 --> 05:36.560]  media want you to fear. Do these IFR numbers I just shared with you indicate that you should
[05:36.560 --> 05:40.880]  or should not get vaccinated? I don't know. That's not my decision to make. It's yours.
[05:40.960 --> 05:48.000]  However, I do think it's a significant data set to have under your belt if and when you make the
[05:48.000 --> 05:54.000]  decision to get vaccinated. If you appreciate this sort of data-driven presentation, help me
[05:54.000 --> 06:00.160]  continue to be here for you. Go to DrReality.News, grab yourself a copy of Body Science,
[06:00.160 --> 06:07.760]  Income Text, Shattering the Mist, and enjoy some of the most fascinating books ever written. I know
[06:07.760 --> 06:11.440]  I'm the author, so I would say that, but I mean that in all sincerity. And the people who've read
[06:11.440 --> 06:14.880]  it would agree with me, whether we're talking about Income Text, Shattering the Mist or Body
[06:14.880 --> 06:19.520]  Science. Anybody who's read it would tell you, yeah, these are two of the most fascinating books
[06:19.520 --> 06:25.360]  that are in print. So the way this works is you go out, you get these fascinating books that you're
[06:25.360 --> 06:41.520]  going to love, and then you help me to remain here to help you. Thanks so much.