How Math & Our Monkey Minds Hide the Murder of Millions

The mortality rate varies greatly between nations and populations within nations. There are many factors; age of population, diet, healthcare, war, and so on.

One has expectations when looking at mortality rates, such as; (1) older populations should have a higher rate of mortality than younger populations. (2) Richer nations with higher healthcare spending should have lower infant mortality than poorer nations.

We also expect that from year to year, a nations mortality rate should not change that much unless there is a huge disaster such as a war.

Life insurance companies, in fact, do not expect to see a 10% increase in mortality year over year without some catastrophic causes or events. When they see 40% increases they wonder why.

Mortality rates worldwide are measured in deaths per year per 1000.

Here's the world banks data which shows most country's mortality rates for 2015 to 2020.

Canada, where I live had a 8 deaths per 1000 population in 2020.

United States of America = 10 deaths per 1000 population in 2020.

United Kingdom = 10 deaths per 1000 population in 2020.

How much we can trust this data is unknown. But let's go with it for now.

Have you heard of Dunbar's Number?

It was Robin Dunbar who discovered that our monkey mind can actually only know and trust about 150 people at a time.

Not coincidentally this same number of humans equals the ideal size for a village or a company, but that's for another post...

I bring up Dunbar's Number here because our monkey mind is what keeps us blind to the math and the murder.

How many people do you know well enough to pay attention to their health? 10, 20, 100, 150?

How many people do you know well enough to know if they took the covid vaccine or not? 10, 20, 100, 150?

How many people do you know of that you would even hear if they died? 10, 20, 100, 150, 500, 1000?

Let's be generous and say that your mind can keep track of 1000 people who you know well enough to hear about there death. (we obviously have to exclude the celebrities whom we all 'know' well enough to notice when they die.)

If you do keep track of 1000 people then you can expect to hear about 10 people per year that kick the bucket if you lived in the UK or the US of A in 2020.

If something catastrophic happened in 2021, and the mortality rate increased 20%, that would only mean to you that instead of 10 persons within the 1000 you keep track of... 12 died.

Just two more people in your wide circle of acquaintances.

Let's say that, like most people your head is down working and living a life. Maybe you're focused on raising a kids or playing video games, or building lego. Whatever it is, you do you! But let's say in your busy life, the Dunbar number applies and you only keep track of 150 human beings. Or perhaps even 149 and a good dog...

That 2020 mortality rate in America and the UK looks like this to you:

You knew 1.5 (1 or 2) people who died in 2020. You may or may not have attended 1 or 2 funerals.

And in 2021 after the death rate increased 20%?

You knew 1.8 (1 or 2) people who died in 2020. You may or may not have attended 1 or 2 funerals.

You see now how the math can hide the murder?

In the Vietnam war, 58,220 young Americans returned home in body bags. Note how exact THAT government created catastrophe can be tallied up? Yeah...

In 2021 the excess mortality rate of millennials was 84%! -

In 2021 another Vietnam happened to young people - 70,000 EXTRA American kids were murdered by the idiots in charge.

But you may have never noticed because of math.

If you want to look at the data: here you go!

The photo used in this post is of Doctor Therisa Tam - Canada's Chief Medical Officer. Taken by Adrian Wyld of THE CANADIAN PRESS.

Note that Canada is way way behind in reporting our mortality data so we really don't know how bad the killing has been here. We can assume though that it is in line with other western countries with similar jab uptake and similar mandates, lock-downs and masking fiascoes.

It's a tragedy. Accept it.