2022 Deaths – Unknown Causes – Both Sexes – Ages 85-89 | Ontario, Canada

696
Excess Deaths
Proud Sponsors of the New Normal
    Categories:

  1. Other ill-defined and unspecified causes of mortality (652)
  2. Unspecified fall (110)
  3. Exposure to unspecified factor (54)
  4. Other specified general symptoms and signs (17)
  5. Cachexia (7)
  6. Malaise and fatigue (3)
  7. Other and unspecified convulsions (1)
  8. Shock, unspecified (1)
  9. Unspecified event, undetermined intent (1)
  10. Bradycardia, unspecified (0)
  11. Pulseless electrical activity, not elsewhere classified (0)
  12. Syncope and collapse (0)
  13. Instantaneous death (0)
  14. Nausea and vomiting (0)
  15. Coma, unspecified (0)
  16. Chest pain, unspecified (0)
  17. Disorientation, unspecified (0)
  18. Fever, unspecified (0)
  19. Generalized oedema (0)
  20. Other chronic pain (0)
  21. Unspecified haematuria (0)
  22. Headache (0)
  23. Hyperglycaemia, unspecified (0)
  24. Other shock (0)
  25. Pain, unspecified (0)
  26. Sequelae of events of undetermined intent (0)
References

  • 2000-2022 Unknown Causes deaths extrapolated from Canadian data

2022 vs New Normal™ for elderly men and women aged 85-89 in Ontario

  1. 848 of 20,527 total deaths were from Unknown Causes
  2. 4.13% of all deaths were from Unknown Causes
  3. This is up 84% compared to Old Normal rates.
  4. 458 of 20,457 total deaths would have been expected under Old Normal conditions.
  5. 390 excess deaths from Unknown Causes in 2022.
  6. 70 excess All Cause deaths in 2022.
  7. 696 excess deaths from Unknown Causes (2015-2022)
  8. 11,128 fewer than expected All Cause deaths over the first 8 years of Ontario’s New Normal™.
  1. To show this year’s deaths from Unknown Causes are up 84% compared to Old Normal rates, we need to calculate the rates for both 2022 and for the Old Normal.

Remember, death rates are calculated to answer these questions:

  • “How many elderly men and women aged 85-89 were there?” and
  • “How many of them died from Unknown Causes?”

The following 2 charts provide this information:

Deaths – Unknown Causes – Both Sexes – Aged 85-89 | Ontario, Canada

Graph showing Deaths - Unknown Causes - Both Sexes - Aged 85-89 | Ontario, Canada

Population – Both Sexes – Aged 85-89 – [2000-2022] | Ontario, Canada

Graph showing Population - Both Sexes - Aged 85-89 - [2000-2022] | Ontario, Canada

From the charts, we can see that in 2022, 848 of 210,952 elderly men and women aged 85-89 living in Ontario died from Unknown Causes.

848 ÷ 210,952 = 0.00402 (2022 CDR)

We’ll use the table below to calculate our Old Normal rate for deaths from Unknown Causes

Deaths/100,000 Both Sexes 85-89 from Unknown Causes

Graph showing Deaths/100,000 Both Sexes 85-89 from Unknown Causes
Old Normal (2001-2014) Ontario Both Sexes aged 85-89 Unknown Causes
Year
Pop
Died
From
|2000
99,659
11,267
256
|2001
102,522
11,484
266
|2002
105,432
11,531
269
|2003
107,208
11,932
306
|2004
109,891
11,836
247
|Year
Pop
Died
From

|2005
117,705
11,887
249
|2006
128,753
12,118
286
|2007
138,391
12,901
281
|2008
147,797
14,026
269
|2009
156,931
14,258
310
|Year
Pop
Died
From

|2010
162,691
14,628
320
|2011
166,263
15,821
392
|2012
171,242
15,174
336
|2013
175,981
15,762
344
|2014
179,180
16,083
366
 
 
 
 

 
 
 
 

Cumulative:
Population
Deaths
Unknown Causes

Totals:
2,069,646
200,708
4,497

The table shows there were a total of 4,497 deaths from Unknown Causes among 2,069,646 elderly men and women aged 85-89 living in Ontario in the 15 years immediately prior to the New Normal™.

4,497 ÷ 2,069,646 = 0.00217 (Old Normal CDR)

We can use the Old Normal rate to predict this year’s deaths:

2022 pop X Old Normal CDR = expected deaths

210,952 X 0.00217 = 458 expected deaths

The difference between actual and expected deaths shows lives saved or lost:

848458 = 390

Dividing the actual deaths by the expected deaths gives us the comparative rates:

848 ÷ 458 = 1.8416

This reveals 390 lives lost and is 184.16% of what we expected (an increase of 84%) in deaths from Unknown Causes among elderly men and women aged 85-89 living in Ontario in 2022, as compared to the Old Normal.

5yr CDR (2017-2021)

Year
Pop
Died
From

|2017
193,756
16,949
407
|2018
198,227
17,549
456
|2019
202,300
17,325
494
|2020
205,708
18,227
513
|2021
208,274
19,634
626
Total:
1,380,222
122,652
3,305

This is the same method used by Public Health to calculate the 5-yr CDR (Cumulative Death Rate):

3,305 ÷ 1,380,222 = 0.00239 (5-yr CDR)

210,952(2022 pop) X 0.00239 = 505 expected deaths

The difference between actual and expected deaths:

848505 = 343 or 343 lives lost

Divide actual deaths by expected deaths:

848 ÷ 505 = 1.6718 or an increase of 67%

for deaths from Unknown Causes among elderly men and women aged 85-89 living in Ontario in 2022, as compared to the previous 5 years.

Compare our Old Normal to the 5yr CDR. Does it tell the same story your TV does?

Finally, the same method can also be used to compare our Old Normal rate to the New Normal™ rate:

New Normal™ population X Old Normal rate = expected deaths

1,591,174 X 0.00217 = 3,457 expected deaths

The difference between actual and expected deaths:

41533,457 = 696 or 696 lives lost

Dividing the actual deaths by the expected deaths:

4,153 ÷ 3,457 = 1.1957 or an increase of 20%

in deaths from Unknown Causes among elderly men and women aged 85-89 living in Ontario in the New Normal™, as compared to the Old Normal.

New Normal (2015-2022)

Year
Pop
Died
From
|2015
183,123
16,768
399
|2016
188,834
16,200
410
|2017
193,756
16,949
407
|2018
198,227
17,549
456
|2019
202,300
17,325
494
|2020
205,708
18,227
513
|2021
208,274
19,634
626
|2022
210,952
20,527
848
Total:
1,591,174
143,179
4,153

The world has been led to believe that a deadly pandemic swept the globe beginning in 2020, causing an increase in death rates, especially among the elderly

The data show that death rates began to increase in 2015, immediately upon implementation of the UN’s 2030 Agenda for Sustainable Development, that young adults have experienced ever-increasing death rates since, and that death rates among the elderly have remained relatively stable.

Return to the top of the page to select another age category.