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The dots are too scattered to make sense up until the last couple of years and by then the slope is too small to really see. 

But the lines show a slight increase in COVID rates by immigration rates  during the first year, the blue line. The second year, the red one,  shows the most pronounced negative relationship, followed by an almost parallel sloping line for the third year. The fourth and fifth years show much lower COVID death rates that slope less, and I don't know if the reason I can see it is I spend so much time looking at scatter plots I don't know if the reason I can see it is because I spend so much time playing with them .

Anyway, the slopes, aka regression coefficients, by years are:  2020 = 0.77, 2021 = -1.77, 2022 = -0.75, 2023 = -0.25 and 2024 = -0.16. Yes, all of them after vaccine became available are negative. 

Now the reason I put this together is in response to someone blaming immigrants for causing our COVID deaths. I actually think most of our contact with germs in the rest of the world is through air planes and just like immigrants, the ones coming  from the rest of the world, evein if they are Americans who just spent a little time there, most of them hit coastal states first. The major difference I see is that after COVID vaccines are available, the percent immigrant is negative related to death rates and that may related the the Southern Baptist refusing vaccination and they are home grown not imported.

The dots are too scattered to make sense up until the last couple of years and by then the slope is too small to really see. But the lines show a slight increase in COVID rates by immigration rates during the first year, the blue line. The second year, the red one, shows the most pronounced negative relationship, followed by an almost parallel sloping line for the third year. The fourth and fifth years show much lower COVID death rates that slope less, and I don't know if the reason I can see it is I spend so much time looking at scatter plots I don't know if the reason I can see it is because I spend so much time playing with them . Anyway, the slopes, aka regression coefficients, by years are: 2020 = 0.77, 2021 = -1.77, 2022 = -0.75, 2023 = -0.25 and 2024 = -0.16. Yes, all of them after vaccine became available are negative. Now the reason I put this together is in response to someone blaming immigrants for causing our COVID deaths. I actually think most of our contact with germs in the rest of the world is through air planes and just like immigrants, the ones coming from the rest of the world, evein if they are Americans who just spent a little time there, most of them hit coastal states first. The major difference I see is that after COVID vaccines are available, the percent immigrant is negative related to death rates and that may related the the Southern Baptist refusing vaccination and they are home grown not imported.

Here are five years of COVID death rates plotted by state percent foreign immigrants. See text for comments. 🧪💡☠️ #Sociology #Population #Political #Demography

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MultiSearch Tag Explorer MultiSearch Tag Explorer - Explore tags and search results by aéPiot - aéPiot: Independent SEMANTIC Web 4.0 Infrastructure (Est. 2009). High-density Functional Semantic Connectivity with 100/100 Trust...

#LIST OF #TOWNS #AND #CITIES IN #ENGLAND BY #HISTORICAL #POPULATION
allgraph.ro/advanced-sea...
#ARTILLERY #PARK #BASEBALL
advanced-search.headlines-world.com/advanced-sea...
aepiot.com

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Study: More Americans Than Not Still Believe Overpopulation Myth Even though the vast majority of countries have birthrates below replacement level, most Americans still believe the Earth is overpopulated.

thenewamerican.com/us/culture/s...

Elon Musk and Paul Ehrlich…

Only a minority of people know who Ehrlich was; fewer still would know why I mention the two men together. But they represent diametrically opposed perspectives on a major issue: population growth.
#population #overpopulation #ElonMusk

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@MoEFCC is planning to introduce #immunocontraceptives as an experimental #population management tool for #leopards, particularly in areas with frequent human–leopard conflicts. For this,Govt plans to file a petition in Apex Court requesting to lift ban so that the experimental research can resume.

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Why are housing prices rising? Many people are understandably concerned about ‘why’ housing prices are rising. Most media outlets are reporting on the increases but not disclosing the various things driving up the prices. As an Eco...

@meiselasb.bsky.social

My Substack explains ‘why’ #housing prices rising

open.substack.com/pub/thewhyex...

I use a #economic #management approach using these #economic drivers:

- #population growth
- #migration
- #Resource scarcity ( #inflation )
- collateral cost ( #infrastructure )

#econsky

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These dots show the percent change in single year ages over two thee-year periods. The first, red squares, are for 2018-2020 during the Republican president Trump's first term. Except for a few dots for the young, all the red squares show that that age's death rates increased. 

The second line of dots, blue diamonds, show the percent change in single year age death rates from 2022 through 2024, during Biden's term as president. There is not enough room here to describe everything Biden put in place to bring death rates down, but here is a link to a site that does it:

https://www.politico.com/interactives/2024/biden-healthcare-legacies/

In general, Biden did a lot to bring death rates down and the data collected from death certificates show that his efforts have saved a lot of lives.  In a future post I will present an estimate of just how many lives voters saved by electing Biden. If I am still alive and able, an am now 83 years old, when mortality data for Trump's current term are published I will repeat this kind of analysis showing the effect of death rate changes during his term. 

A final note on why the red squares are so much higher over the zero line than the blue diamonds are below the line. The basic fact is it is easier and cheaper to let people die when they need health care to stay alive than it is to let the die so the red squares are much further above the zero line than the blue diamonds are below it.

These dots show the percent change in single year ages over two thee-year periods. The first, red squares, are for 2018-2020 during the Republican president Trump's first term. Except for a few dots for the young, all the red squares show that that age's death rates increased. The second line of dots, blue diamonds, show the percent change in single year age death rates from 2022 through 2024, during Biden's term as president. There is not enough room here to describe everything Biden put in place to bring death rates down, but here is a link to a site that does it: https://www.politico.com/interactives/2024/biden-healthcare-legacies/ In general, Biden did a lot to bring death rates down and the data collected from death certificates show that his efforts have saved a lot of lives. In a future post I will present an estimate of just how many lives voters saved by electing Biden. If I am still alive and able, an am now 83 years old, when mortality data for Trump's current term are published I will repeat this kind of analysis showing the effect of death rate changes during his term. A final note on why the red squares are so much higher over the zero line than the blue diamonds are below the line. The basic fact is it is easier and cheaper to let people die when they need health care to stay alive than it is to let the die so the red squares are much further above the zero line than the blue diamonds are below it.

This is my fifth try to effectively show the difference between Trump's and Biden's effect on our death rates. I just hope you understand it. 🧪💡☠️ #Sociology #Population #Politics

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'All the villages will be deserted’: The crisis emptying Greek islands and towns Greece's population could drop by as much as 20 per cent by 2050, with the government declaring the situation a "national threat". #demographics #ageing #population #travel #tourism

Greece's population could drop by as much as 20 per cent by 2050, with the government declaring the situation a "national threat". #demographics #ageing #population #travel #tourism

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Official #Israeli reports deny any policy of racialised #population control or systemic atrocities against Black people, while continuing to prioritise pale
[ white'?' ] skinned #Jewish immigration.
The documented record, however, shows
theorionblogown.blogspot.com/2026/03/offi...

#news #meme #o

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Global human population has surpassed Earth’s sustainable carrying capacity Global human population has surpassed Earth’s sustainable carrying capacity, Bradshaw, Corey J A, Judge, Melinda A, Blumstein, Daniel T, Ehrlich, Paul R, Dasgupta, Aisha N Z, Wackernagel, Mathis, Weed...

We dedicate our latest paper to the memory of Vale Paul Ehrlich, who died before the final version was available. Thank you for your mentorship, support, and friendship, Paul

'Global human #population has surpassed Earth’s sustainable carrying capacity'

doi.org/10.1088/1748...

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Global human population has surpassed Earth’s sustainable carrying capacity Global human population has surpassed Earth’s sustainable carrying capacity, Bradshaw, Corey J A, Judge, Melinda A, Blumstein, Daniel T, Ehrlich, Paul R, Dasgupta, Aisha N Z, Wackernagel, Mathis, Weed...

I dedicate our latest paper to the memory of Vale Paul Ehrlich, who died before the final version was available. Thank you for your mentorship, support, and friendship, Paul

'Global human #population has surpassed Earth’s sustainable carrying capacity'

doi.org/10.1088/1748...

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Why are leaders unable to address the population growth rate conundrum? What we see today from our global leadership is the constant repetition of increasing economic growth even as that is based on predominately nonrenewable resources. Many existing economic models has p...

@petedominick.bsky.social

Pls explore #population growth relative #resource availability understand #Sustainability

My Substack focus #sustainable prosperity as expanding #economy nonrenewable #Fossilfuels creates wellbeing conundrum future welfare

open.substack.com/pub/thewhyex...

#econsky

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Here is the results of a regression analysis of the effect of state percent  vote for Trump versus Harris and state percent Southern Baptist on COVIOD death rates. Now these two variables are highly related and both are strong single predictors of this death rate. What I am presenting here is a summary of  the multiple regression analysis predicting the displayed five year COVID death rate with both percent of the state vote in  presidential election Trump got against Harris and percent of the state Southern Baptist. 

CumCOVID = 118.987 + 2.913(PctBap2020) + 3.440(PctTrump)

CumCOVID is short name for the total five year COVID death rate that the statistical program would accept. The 118.987 is the regression analysis predicted COVID death rate for a hypothetical state that had 0 percent Southern Baptist and had nobody vote for Trump. The regression coefficient of 2.913 for state percent Southern Baptist means that  for each additional percent of a state Southern Baptist the death rate increased by 2.913 percent and for the hypothetical 100% that is an addition  291.3  deaths per 100,000. Now for the percent of the vote for Trump, the regression coefficient is 3.440 which can be used to predict a 100% Southern Baptist effect by simply moving the decimal point two spaces to the right giving an estimated increase of 344.0 in a hypothetical state with 100% Southern Baptist. Now for the hypothetical state that is 100% Southern Baptist and 100% voted for Trump that gives us an estimated death rate for the Trump voting Southern Baptist of 754.3 which is 6.34 times as high as the predicted death rate for the hypothetical state with no Southern Baptist or Trump voters. Now we don't have any such state, but this is an estimate of the death rate for the non-Southern Baptist non Trump voter of 118.987, lets round that up to 119, compared to a death rate of 754.3 Southern Baptist Trump voters. 

How is that for playing with numbers?

Here is the results of a regression analysis of the effect of state percent vote for Trump versus Harris and state percent Southern Baptist on COVIOD death rates. Now these two variables are highly related and both are strong single predictors of this death rate. What I am presenting here is a summary of the multiple regression analysis predicting the displayed five year COVID death rate with both percent of the state vote in presidential election Trump got against Harris and percent of the state Southern Baptist. CumCOVID = 118.987 + 2.913(PctBap2020) + 3.440(PctTrump) CumCOVID is short name for the total five year COVID death rate that the statistical program would accept. The 118.987 is the regression analysis predicted COVID death rate for a hypothetical state that had 0 percent Southern Baptist and had nobody vote for Trump. The regression coefficient of 2.913 for state percent Southern Baptist means that for each additional percent of a state Southern Baptist the death rate increased by 2.913 percent and for the hypothetical 100% that is an addition 291.3 deaths per 100,000. Now for the percent of the vote for Trump, the regression coefficient is 3.440 which can be used to predict a 100% Southern Baptist effect by simply moving the decimal point two spaces to the right giving an estimated increase of 344.0 in a hypothetical state with 100% Southern Baptist. Now for the hypothetical state that is 100% Southern Baptist and 100% voted for Trump that gives us an estimated death rate for the Trump voting Southern Baptist of 754.3 which is 6.34 times as high as the predicted death rate for the hypothetical state with no Southern Baptist or Trump voters. Now we don't have any such state, but this is an estimate of the death rate for the non-Southern Baptist non Trump voter of 118.987, lets round that up to 119, compared to a death rate of 754.3 Southern Baptist Trump voters. How is that for playing with numbers?

Here is a map that displays the five year total, 2020 through 2024, COVID death rate for a state. Yes I had some fun playing around with numbers.🧪💡☠️ #Sociology #Population #Political #Politics

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Why are housing prices rising? Many people are understandably concerned about ‘why’ housing prices are rising. Most media outlets are reporting on the increases but not disclosing the various things driving up the prices. As an Eco...

@jackcocchiarella.bsky.social

My Substack explains ‘why’ #housing prices rising

open.substack.com/pub/thewhyex...

Use #economic #management approach w these #economic drivers:

- #population growth
- #migration
- #Resource scarcity ( #inflation )
- collateral cost ( #infrastructure )

#econsky

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Top Links 1054 The frozen housing market. Wearing Cuba down. Dead fire rekindled & Trumpian power as a source of enchantment. Great links, images, and reading from Chartbook Newsletter by Adam Tooze

“Since 2021 Cuba’s #population has fallen from 11.2m to perhaps 8.6m. Some 80% of those who left were between 15 and 59 years old, leaving #Cuba the oldest country in the #Americas. A quarter of the population is over 60.” open.substack.com/pub/adamtooz...

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City de la chatte

Une ville est une agglomération urbaine caractérisée par une concentration de populations, d'activités économiques et de services. Les villes jouent un rôle clé dans le développement social et économique. #Ville #Urbanisation #Population #Economie #Services

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#worldpop #researchimpact #geospatialdata #population
@worldpop-uos.bsky.social

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🐸 New research uses #population #genetic analyses to clarify the range of 𝘖𝘱𝘩𝘳𝘺𝘰𝘱𝘩𝘳𝘺𝘯𝘦 𝘨𝘦𝘳𝘵𝘪, an #endangered #endemic #toad from the Langbian Plateau, Vietnam.

See what the study found here: doi.org/10.3897/natu...

#conservation #herpetology

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Here I will do two things, discuss the party differences and post the data:

Among females the mixed party is closer to the high death rate Republicans than they are among males. Why? Discrimination against females is harder to fight than it is among males.

Here is the data:
Year	Dem F.    Rep F      Mixed Females
1999	797.9	945	        905.4
2000	794.2	945.1	908.2
2001	794.1	941.1	894.9
2002	788.1	946.2	900.4
2003	783.4	940.3	894.3
2004	758.4	907	        868.4
2005	764.1	915.7	882.7
2006	749.6	894.6	859.7
2007	736.8	881.8	850.7
2008	740.7	897.1	864.2
2009	720.1	870.5	839.4
2010	720.2	881.4	850
2011	730.2	885.7	865.6
2012	725.4	892.6	864.9
2013	733.1	901.2	873.6
2014	725.1	901.6	875.2
2015	746.6	916.5	898
2016	745.1	920	        895.5
2017	755.5	934.1	908.7
2018	753	        935.6	907.1
2019	750.3	929.6	906.7
2020	790.7	977.3	948.7
2021	768.5	984.8	936
2022	793.4	991.8	950.9
2023	774.5	963.7	927.9
2024	762.3	959.3	923.2

Here I will do two things, discuss the party differences and post the data: Among females the mixed party is closer to the high death rate Republicans than they are among males. Why? Discrimination against females is harder to fight than it is among males. Here is the data: Year Dem F. Rep F Mixed Females 1999 797.9 945 905.4 2000 794.2 945.1 908.2 2001 794.1 941.1 894.9 2002 788.1 946.2 900.4 2003 783.4 940.3 894.3 2004 758.4 907 868.4 2005 764.1 915.7 882.7 2006 749.6 894.6 859.7 2007 736.8 881.8 850.7 2008 740.7 897.1 864.2 2009 720.1 870.5 839.4 2010 720.2 881.4 850 2011 730.2 885.7 865.6 2012 725.4 892.6 864.9 2013 733.1 901.2 873.6 2014 725.1 901.6 875.2 2015 746.6 916.5 898 2016 745.1 920 895.5 2017 755.5 934.1 908.7 2018 753 935.6 907.1 2019 750.3 929.6 906.7 2020 790.7 977.3 948.7 2021 768.5 984.8 936 2022 793.4 991.8 950.9 2023 774.5 963.7 927.9 2024 762.3 959.3 923.2

The male graph displays the dots with the same death rate scale as the earlier one for females. The main difference is the mixed party males are much closer to the middle than the females. The way they are most alike is they reflect very much the same time trends.

The most optimistic part of the graph it shows a turn around to a rational declining declining death rate in the entire country after a decade of increasing death rates, Biden was successful in producing the rational turn-around.

Here is the male data, it is available but removing the COVID is not easy and doing it makes me later at posting this than I expected.

Year	Dem   Rep Males	Mixed Males
1999	791	        978.5	897.7
2000	782.5	974.7	890.4
2001	777.3	966.7	880.9
2002	777	        971.4	886.7
2003	773.2	967.6	877.4
2004	750.1	940.3	860.3
2005	757.7	955.1	871.8
2006	749.1	941.9	856.7
2007	740.7	928.5	853.8
2008	742.8	942.3	863.3
2009	730.5	928.4	851
2010	728.5	939.5	861.1
2011	738.5	943.3	870.7
2012	740.6	950.8	877.3
2013	753	        968.2	895.5
2014	754.1	980.3	906.2
2015	775.5	1005.5	930.3
2016	788.3	1014.2	948.5
2017	800.5	1037.7	966.5
2018	809.6	1042.8	973.7
2019	817.2	1051.3	976.9
2020	876.5	1119.4	1038.4
2021	862.8	1134.5	1043.6
2022	879.7	1119.8	1045.2
2023	867	        1096.1	1023.5
2024	843.2	1078.4	1006.7

The male graph displays the dots with the same death rate scale as the earlier one for females. The main difference is the mixed party males are much closer to the middle than the females. The way they are most alike is they reflect very much the same time trends. The most optimistic part of the graph it shows a turn around to a rational declining declining death rate in the entire country after a decade of increasing death rates, Biden was successful in producing the rational turn-around. Here is the male data, it is available but removing the COVID is not easy and doing it makes me later at posting this than I expected. Year Dem Rep Males Mixed Males 1999 791 978.5 897.7 2000 782.5 974.7 890.4 2001 777.3 966.7 880.9 2002 777 971.4 886.7 2003 773.2 967.6 877.4 2004 750.1 940.3 860.3 2005 757.7 955.1 871.8 2006 749.1 941.9 856.7 2007 740.7 928.5 853.8 2008 742.8 942.3 863.3 2009 730.5 928.4 851 2010 728.5 939.5 861.1 2011 738.5 943.3 870.7 2012 740.6 950.8 877.3 2013 753 968.2 895.5 2014 754.1 980.3 906.2 2015 775.5 1005.5 930.3 2016 788.3 1014.2 948.5 2017 800.5 1037.7 966.5 2018 809.6 1042.8 973.7 2019 817.2 1051.3 976.9 2020 876.5 1119.4 1038.4 2021 862.8 1134.5 1043.6 2022 879.7 1119.8 1045.2 2023 867 1096.1 1023.5 2024 843.2 1078.4 1006.7

Here are a pair of requested graphs that show the party differences pattern by sex as well as party. These show total population with COVID removed since 2020. 🧪💡☠️ #Sociology #Population

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Leopard contraception trials aim at managing conflict In November last year, after months of deliberation, the Ministry of Environment, Forests, and Climate Change (MoEFCC) approved the Maharashtra government’s proposal for leopard population control in the state. Although other states have proposed similar interventions, Maharashtra is the first state in the country to trial birth control in leopards to potentially mitigate increasing human-leopard interactions. The state forest department will implement the programme according to the proposal presented by the Wildlife Institute of India (WII). While the proposed population control method has been widely reported as “sterilisation”, Bilal Habib, WII scientist, who led a long-term study in Junnar, clarifies that it is, in fact, immunocontraception — “a temporary vaccination which will prevent these animals from breeding for the next two to three years”. Unlike sterilisation, a permanent, one-time procedure, immunocontraceptive vaccines stimulate an animal’s immune system to temporarily prevent it from fertilising offspring. The chosen site for the pilot programme is Pune’s Junnar forest division, where negative interactions between humans and leopards are resulting in a rising number of human deaths and injuries. Since 2021, 22 people have died, another 42 have been injured, and 16,593 cattle have been killed from leopard attacks, according to compensation records obtained by...

Leopard contraception trials aim at managing conflict
->Mongabay | More on "Leopard contraception trials Maharashtra conflict" at BigEarthData.ai | #Population

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Immigration Slowdown Hits Every Metro Area in the U.S., Census Shows

Been saying this for years - less #immigration means fewer workers and fewer consumers, which over time, is bad for the #economy.

#FAFO
#population

Free gift article:

www.nytimes.com/2026/03/26/u...

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Today in stupid #religion posts:

Catholic brags on an increase in Catholic population that *almost exactly matches the growth in world population over the same period (1.75B --> 8.5B).*

Also, a nearly 5x increase is not "tripling".

#Christianity #Catholicism #Population #Statistics #Demographics

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#Immigration #and #Emigration #New #York #City #Census #Population #Urban #Areas #Census

Origin | Interest | Match

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What are they calling it....#TRUMP? ¯\_(ツ)_/¯
.
#Scientists created an #antibody that can #eradicate an #infection that affects 95% of the global #population.

#EpsteinBarr #virus (#EBV) is a #pervasive #pathogen, infecting nearly 95% of #humans & persisting for #life. #science #biology #health

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A young woman wearing glasses and a suit smiles at the camera, with text overlay discussing research on peaceful protests and authoritarian regimes.

(Source: https://www.youtube.com/shorts/s5j1Aevwoek)

A young woman wearing glasses and a suit smiles at the camera, with text overlay discussing research on peaceful protests and authoritarian regimes. (Source: https://www.youtube.com/shorts/s5j1Aevwoek)

"Harvard professor Erica Chennowith found that when three and a half % of a #population actively participate in sustained peaceful protests 🪧, it can topple authoritarian regimes like the one currently occupying the Oval Office." — Robert Reich @rbreich.bsky.social

#Politics #QuoteSky

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Labour's answer to the energy crisis? Corporate welfare Labour is responding to the energy crisis through subsidising corporate profits under the guise of helping households

What a shock ! A #UK #Government that puts #Corporations first and the #population last!

www.thecanary.co/uk/2026/03/2...

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First notice the dramatic increases in the non-COVID death rates during the COVID epidemic years. 

Second, notice how those increases are not much more than those that increased from 2014 through 2017.  

Third, notice how much these non-COVID death rates declined during Biden's last three years as president. 

Fourth, notice how much and which way they changed in the four years before Biden's years, aka Trump years. 

Fifth, notice vertically how much closer the party dots have come to each other during the Biden years. 

And finally, notice how the mixed party states have moved closer to the Republicans in this age 20 through 24 age group over these years. 

If you are smart, you take this into account when you move. I hadn't done this before I moved to Alabama where male life expectancy is only 70.1,and since I am now in my 84th year, it is too late for me to use this knowledge to move.

I have nothing else to say today.

First notice the dramatic increases in the non-COVID death rates during the COVID epidemic years. Second, notice how those increases are not much more than those that increased from 2014 through 2017. Third, notice how much these non-COVID death rates declined during Biden's last three years as president. Fourth, notice how much and which way they changed in the four years before Biden's years, aka Trump years. Fifth, notice vertically how much closer the party dots have come to each other during the Biden years. And finally, notice how the mixed party states have moved closer to the Republicans in this age 20 through 24 age group over these years. If you are smart, you take this into account when you move. I hadn't done this before I moved to Alabama where male life expectancy is only 70.1,and since I am now in my 84th year, it is too late for me to use this knowledge to move. I have nothing else to say today.

Here I show the yearly non-COVID death rates for age 20-24 year olds from 1999 through 2024 for Democrat, Republican and Mixed Party voting states. 🧪💡☠️ #Sociology #Population #Politics #Science

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Cité de la chatte

Une cité est un agglomérat urbain souvent fortifié, caractérisé par une population dense et une autonomie politique. #cite #agglomerat #urbain #population #autonomie

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#Masturbation is good #population control: With over 7 billion inhabitants on Earth, wouldn’t it be great if all the babies born were truly wanted? Discover 17 more benefits of #wanking at prowank.com/benefits-of-... ( #ZPG, #populationControl, #masturbating, #selfLove, #onanism)

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Next week, we welcome guest speaker Saoirse Finn from @ucl.ac.uk who is going to talk to us about 'Leisure, health and wellbeing: insights from population-level analyses and biomedical data'

#leisure #health #population #biological #data #healthyageing

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