2023 Deaths – All Causes – Female – Ages 0-4 | Canada

1,103
Lives Saved
133


Lives Saved


in
2023

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  1. Total (849)
References

    2023 vs New Normal™ for pre-school girls aged 0-4 in Canada

    1. 849 of 849 total deaths were from All Causes
    2. 100.00% of all deaths were from All Causes
    3. This is down 14% compared to Old Normal rates.
    4. 982 of 982 total deaths would have been expected under Old Normal conditions.
    5. 133 fewer than expected deaths from All Causes in 2023.
    6. 1,103 fewer than expected deaths from All Causes (2015-2023)
    1. To show this year’s deaths from All Causes are down 14% compared to Old Normal rates, we need to calculate the rates for both 2023 and for the Old Normal.

    Remember, death rates are calculated to answer these questions:

    • “How many pre-school girls aged 0-4 were there?” and
    • “How many of them died from All Causes?”

    The following 2 charts provide this information:

    Deaths – All Causes – Female – Aged 0-4 | Canada, Canada

    Graph showing Deaths - All Causes - Female - Aged 0-4 | Canada, Canada

    Population – Female – Aged 0-4 – [2000-2023] | Canada, Canada

    Graph showing Population - Female - Aged 0-4 - [2000-2023] | Canada, Canada

    From the charts, we can see that in 2023, 849 of 918,032 pre-school girls aged 0-4 living in Canada died from All Causes.

    849 ÷ 918,032 = 0.00092 (2023 CDR)

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

    Deaths/100,000 Female 0-4 from All Causes

    Graph showing Deaths/100,000 Female 0-4 from All Causes
    Old Normal (2001-2014) Canada Female aged 0-4 All Causes
    Year
    Pop
    Died
    From
    |2000
    874,519
    881
    881
    |2001
    856,323
    891
    891
    |2002
    841,317
    933
    933
    |2003
    831,535
    920
    920
    |2004
    830,344
    954
    954
    |Year
    Pop
    Died
    From

    |2005
    830,594
    945
    945
    |2006
    839,384
    909
    909
    |2007
    853,157
    954
    954
    |2008
    874,004
    966
    966
    |2009
    892,987
    981
    981
    |Year
    Pop
    Died
    From

    |2010
    912,977
    961
    961
    |2011
    926,799
    919
    919
    |2012
    936,353
    970
    970
    |2013
    939,499
    1,005
    1,005
    |2014
    941,623
    916
    916
     
     
     
     

     
     
     
     

    Cumulative:
    Population
    Deaths
    All Causes

    Totals:
    13,181,415
    14,105
    14,105

    The table shows there were a total of 14,105 deaths from All Causes among 13,181,415 pre-school girls aged 0-4 living in Canada in the 15 years immediately prior to the New Normal™.

    14,105 ÷ 13,181,415 = 0.00107 (Old Normal CDR)

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

    2023 pop X Old Normal CDR = expected deaths

    918,032 X 0.00107 = 982 expected deaths

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

    849982 = -133

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

    849 ÷ 982 = 0.8562

    This reveals 133 lives saved and is 85.62% of what we expected (a decrease of 14%) in deaths from All Causes among pre-school girls aged 0-4 living in Canada in 2023, as compared to the Old Normal.

    5yr CDR (2018-2022)

    Year
    Pop
    Died
    From

    |2018
    946,215
    947
    947
    |2019
    942,059
    829
    829
    |2020
    935,420
    838
    838
    |2021
    918,234
    793
    793
    |2022
    916,403
    892
    892
    Total:
    7,497,080
    7,053
    7,053

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

    7,053 ÷ 7,497,080 = 0.00094 (5-yr CDR)

    918,032(2023 pop) X 0.00094 = 864 expected deaths

    The difference between actual and expected deaths:

    849864 = -15 or 15 lives saved

    Divide actual deaths by expected deaths:

    849 ÷ 864 = 0.9727 or a decrease of 3%

    for deaths from All Causes among pre-school girls aged 0-4 living in Canada in 2023, 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

    8,415,112 X 0.00107 = 9,005 expected deaths

    The difference between actual and expected deaths:

    79029,005 = -1,103 or 1,103 lives saved

    Dividing the actual deaths by the expected deaths:

    7,902 ÷ 9,005 = 0.8694 or a decrease of 13%

    in deaths from All Causes among pre-school girls aged 0-4 living in Canada in the New Normal™, as compared to the Old Normal.

    New Normal (2015-2023)

    Year
    Pop
    Died
    From
    |2015
    942,202
    917
    917
    |2016
    949,211
    951
    951
    |2017
    947,336
    886
    886
    |2018
    946,215
    947
    947
    |2019
    942,059
    829
    829
    |2020
    935,420
    838
    838
    |2021
    918,234
    793
    793
    |2022
    916,403
    892
    892
    |2023
    918,032
    849
    849
    Total:
    8,415,112
    7,902
    7,902

    Ursula von der Leyen and her globalist buddies came up with UN “Sustainable” Development Goal SDG3 – “Ensure healthy lives and promote well-being for all at all ages” and began implementing it in 2015.

    Browse through the tabs for all ages below to see the results of 9 years of their New Normal™

    Is this health and well being?

    Is this “sustainable”?

    Can we allow this to continue?

    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.