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- There were a total of 63,366 deaths in Massachusetts in 2022
- 227 of all deaths were among those in their first year of life
- 16,394 of all deaths were from Unknown Causes
- 208 deaths from Unknown Causes were among those in their first year of life
208 deaths from Unknown Causes were among babies in their first year of life
2022 vs New Normal™ for babies in their first year of life in Massachusetts
- 208 of 227 total deaths were from Unknown Causes
- 91.63% of all deaths were from Unknown Causes
- This is down 20% compared to Old Normal rates.
- 258 of 340 total deaths would have been expected under Old Normal conditions.
- 50 fewer than expected deaths from Unknown Causes in 2022.
- 113 fewer than expected All Cause deaths in 2022.
- 279 fewer than expected deaths from Unknown Causes (2015-2022)
- 603 fewer than expected All Cause deaths over the first 8 years of Massachusetts’s New Normal™.
- To show this year’s deaths from Unknown Causes are down 20% 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 babies in their first year of life were there?” and
- “How many of them died from Unknown Causes?”
The following 2 charts provide this information:
Deaths – Unknown Causes – Both Sexes – In Their First Year Of Life | Massachusetts, United-states
Population – Both Sexes – In Their First Year Of Life – [2000-2022] | Massachusetts, United-states
From the charts, we can see that in 2022, 208 of 70,623 babies in their first year of life living in Massachusetts died from Unknown Causes.
208 ÷ 70,623 = 0.00295 (2022 CDR)
Deaths/100,000 Both Sexes 0-1 from Unknown Causes
The table shows there were a total of 4,116 deaths from Unknown Causes among 1,125,956 babies in their first year of life living in Massachusetts in the 15 years immediately prior to the New Normal™.
4,116 ÷ 1,125,956 = 0.00366 (Old Normal CDR)
We can use the Old Normal rate to predict this year’s deaths:
2022 pop X Old Normal CDR = expected deaths
70,623 X 0.00366 = 258 expected deaths
The difference between actual and expected deaths shows lives saved or lost:
208 – 258 = -50
Dividing the actual deaths by the expected deaths gives us the comparative rates:
208 ÷ 258 = 0.8035
This reveals 50 lives saved and is 80.35% of what we expected (a decrease of 20%) in deaths from Unknown Causes among babies in their first year of life living in Massachusetts 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):
1,574 ÷ 493,250 = 0.00319 (5-yr CDR)
70,623(2022 pop) X 0.00319 = 225 expected deaths
The difference between actual and expected deaths:
208 – 225 = -17 or 17 lives saved
Divide actual deaths by expected deaths:
208 ÷ 225 = 0.9201 or a decrease of 8%
for deaths from Unknown Causes among babies in their first year of life living in Massachusetts 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
563,873 X 0.00366 = 2,061 expected deaths
The difference between actual and expected deaths:
1782 – 2,061 = -279 or 279 lives saved
Dividing the actual deaths by the expected deaths:
1,782 ÷ 2,061 = 0.8622 or a decrease of 14%
in deaths from Unknown Causes among babies in their first year of life living in Massachusetts 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.
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