Lives Saved
- References
- Deaths: Data Notes
- Population: Centers for Disease Control and Prevention, National Center for Health Statistics
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- There were a total of 313,148 deaths in California in 2022
- 164,413 of all deaths were among women
- 62,457 of all deaths were among those aged 30-34
- 1,165 of all deaths were among women aged 30-34
- 40,867 of all deaths were from Unknown Causes
- 18,980 of female deaths were from Unknown Causes
- 596 deaths from Unknown Causes were among those aged 30-34
596 deaths from Unknown Causes were among women aged 30-34
2022 vs New Normal™ for women aged 30-34 in California
- 596 of 1,165 total deaths were from Unknown Causes
- 51.16% of all deaths were from Unknown Causes
- This is up 3% compared to Old Normal rates.
- 564 of 774 total deaths would have been expected under Old Normal conditions.
- 32 excess deaths from Unknown Causes in 2022.
- 391 excess All Cause deaths in 2022.
- 80 fewer than expected deaths from Unknown Causes (2015-2022)
- 1,603 excess All Cause deaths over the first 8 years of California’s New Normal™.
- To show this year’s deaths from Unknown Causes are up 3% 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 women aged 30-34 were there?” and
- “How many of them died from Unknown Causes?”
The following 2 charts provide this information:
Deaths – Unknown Causes – Female – Aged 30-34 | California, United-states
Population – Female – Aged 30-34 – [2000-2022] | California, United-states
From the charts, we can see that in 2022, 596 of 1,446,181 women aged 30-34 living in California died from Unknown Causes.
596 ÷ 1,446,181 = 0.00041 (2022 CDR)
The table shows there were a total of 7,554 deaths from Unknown Causes among 19,380,610 women aged 30-34 living in California in the 15 years immediately prior to the New Normal™.
7,554 ÷ 19,380,610 = 0.00039 (Old Normal CDR)
We can use the Old Normal rate to predict this year’s deaths:
2022 pop X Old Normal CDR = expected deaths
1,446,181 X 0.00039 = 564 expected deaths
The difference between actual and expected deaths shows lives saved or lost:
596 – 564 = 32
Dividing the actual deaths by the expected deaths gives us the comparative rates:
596 ÷ 564 = 1.0309
This reveals 32 lives lost and is 103.09% of what we expected (an increase of 3%) in deaths from Unknown Causes among women aged 30-34 living in California in 2022, as compared to the Old Normal.
This is the same method used by Public Health to calculate the 5-yr CDR (Cumulative Death Rate):
3,762 ÷ 9,940,859 = 0.00038 (5-yr CDR)
1,446,181(2022 pop) X 0.00038 = 547 expected deaths
The difference between actual and expected deaths:
596 – 547 = 49 or 49 lives lost
Divide actual deaths by expected deaths:
596 ÷ 547 = 1.0610 or an increase of 6%
for deaths from Unknown Causes among women aged 30-34 living in California 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
11,387,040 X 0.00039 = 4,438 expected deaths
The difference between actual and expected deaths:
4358 – 4,438 = -80 or 80 lives saved
Dividing the actual deaths by the expected deaths:
4,358 ÷ 4,438 = 0.9573 or a decrease of 4%
in deaths from Unknown Causes among women aged 30-34 living in California in the New Normal™, as compared to the Old Normal.
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.
Deaths/100,000 female 30-34 from Unknown Causes
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