Carbon dioxide (CO2) Facts on Telegram by GRT : the true behind global greenhouse gas emissions / planet pollution
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Bundesschulden https://perma.cc/YZ97-3JEJ

Schulden https://perma.cc/T3B3-FLZF

Goldreserven der Schweizerischen Nationalbank von 2012 bis 2022 https://perma.cc/A4F8-HSMX

Wo die Nationalbank ihr Gold versteckt: In diesem Bunker liegen Milliarden an Volksvermögen https://perma.cc/9BMK-DZTC

Sehen Sie sich Schweizs Goldreserven von 1999-06 bis 2023-05 in der Grafik an: https://perma.cc/R93S-SUBB

Ist das Gold der Nationalbank wirklich in Sicherheit? https://perma.cc/7KAJ-KJ4L

"In Solidarität investieren" https://perma.cc/2WGZ-WR55

Reserves of foreign exchange and gold https://perma.cc/TT5X-Q7AS

The downside of gold https://perma.cc/72P8-3NW6

WWF-Rating in der Uhren- und Schmuckbranche https://perma.cc/42GJ-784W

WWF-Studie: Die dunkle Seite des Goldhandels und die zentrale Rolle der Schweiz https://perma.cc/W5J6-NQVZ

Die Kehrseite des Goldes https://perma.cc/D8SG-X4K2

Goldabbau ist oft mit schlechten Arbeitsbedingungen, Sklaverei, Menschenhandel, Kinderarbeit und Zwangsprostitution verbunden. Beim Goldabbau verschmutzen giftige Chemikalien wie Quecksilber und Zyanid die Flüsse und gelangen so über Fische und Landwirtschaft bis zum Menschen. Allein seit 2011 wurden mehr als 500 Quadratkilometer des Amazonas durch Goldabbau zerstört, zurück bleiben Mondlandschaften.

Der Goldabbau belastet das Klima mit umgerechnet 12'500 Kilogramm CO2 pro Kilogramm Gold. Das ist fast dreimal so viel wie alle transportbedingten Emissionen

@WWFFacts

Etude du WWF: la face sombre du négoce de l’or et le rôle central de la Suisse https://perma.cc/C4NV-VPM2

Or: Le revers de la médaille https://perma.cc/QQ6F-NAYC

Evaluation du WWF dans les secteurs de l’horlogerie et de la joaillerie https://perma.cc/T46Q-XXEK

Studio del WWF: il lato oscuro del commercio dell'oro e il ruolo ... https://perma.cc/XR33-YPM4

L’altra faccia dell'oro https://perma.cc/6PMA-HGFS

Rating WWF sul settore orologiero e dei gioielli
https://perma.cc/WRA5-LDBK
Es el momento para devolverle la atención a la Amazonía https://perma.cc/ZFH6-DFXH
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Climate change researcher describes challenge of pulling off worldwide global warming conspiracy.

Backup by @PollutionFacts
A @grttme project - Other backups: https://swiy.co/tgme
Based on the annual report from NOAA’s Global Monitoring Lab, global average atmospheric carbon dioxide was 417.06 parts per million (“ppm” for short) in 2022, setting a new record high https://perma.cc/Z4YT-CRYG

Human activities have raised the atmosphere’s carbon dioxide content by 50% in less than 200 years https://perma.cc/R7UX-CHNY

The concentration of carbon dioxide in Earth’s atmosphere is currently at nearly 412 parts per million (ppm) and rising. This represents a 47 percent increase since the beginning of the Industrial Age, when the concentration was near 280 ppm, and an 11 percent increase since 2000, when it was near 370 ppm https://perma.cc/T96F-XR33

In 2013, CO2 levels surpassed 400 ppm for the first time in recorded history https://perma.cc/2DAE-2AKW

Sources: Global Warming and Climate change, causes, impacts and mitigation, The Relationship between Atmospheric Carbon Dioxide Concentration and Global Temperature for the Last 425 Million Years, Global Environmental Forecast and Roadmap Based on 420 kY of
Paleoclimatology
Plus remember that ø data is saying anything about the real situation of each family. Especially because ø get huge influenced by people with high salaries.

1+3+4+6+6+7+8 = 35
Mean = 35/7 = 5
Median means (1 3 4) 6 (6 7 8) = in the middle, so not (1+3+4+6 = 14) 6 (7+8 = 15)

In case there is just 1x6 then we get (1 3) (4 6) (7 8) —> (4+6)/2 = 5 as median and /(1+3+4+6+7+8)/6 = 4.8 as mean
Average = the most shitty useless information on this planet! ø data is saying ANYTHING, like per capita or total! This happens even related to finance / CO2 pollution and all other aspects in your life.

Previously https://t.me/PollutionFacts/517 we talked about mean, mode and median, now let we go to the next step, talking about mean (= ø), total and per capita.

As you can see in this picture, total CO2 pollution from China is greater than USA, but a lot of traffic is available from China to USA. In the yellow graphic we can see how GDP in China increased a lot compared to years ago. 2000 there were 1.2 bio people, now 1.4 = 4.5x than USA (+0.058 bio in 23 years, GDP +29k 1.7x compared to +11k 12x in China)

Now let we check the per capita. China has a low per capita, considering the crazy population they have. Can we say that per capita pollution is a great way to measure pollution? Nope.

First per capita is the same shit like ø money you own used by Credit Suisse
https://t.me/FinanceFactsTelegram/302
https://t.me/FinanceFactsTelegram/314
https://t.me/FinanceFactsTelegram/324
because it's enough 3 people earn 30000000 mio, and the ø is already 💩. In such case the median is better https://t.me/FinanceFactsTelegram/332 but not perfect!

ø is shit in all other topics too, because at the end is saying anything, it's just cool and nothing more.

Back to the pollution per capita. Ok, China has 1.4 mio people, BUT around 5% with less than 4 years, 12% with less than 14, 5% < 19, 19% < 35, 8.5% more than 70 years, 27% more than 50 years https://perma.cc/FT2J-95AG

So a baby or kid is for sure not polluting like a 50+ with tons of money ....

About money, about 1.7 mio people in China have more than 1.2 mio CHF https://perma.cc/ML38-X87E

Some studies are reporting "Air pollution in China is falling — but there is a long way to go". Forecast are saying a decrease too, so what US said "we do nothing, because China is doing nothing" is 2x bullshit.

Check previous post https://t.me/PollutionFacts/483
Driven by the dramatic increase in the power generation demand, young power units (<12 yr) continuously played essential roles in the contributions of global CO2 emissions (e.g., accounting for 39.9% of the total in 2019 compared with 38.5% of the total in 1990). However, the regional contributions in CO2 emissions from young power units have significantly changed over time.

Specially, China contributed the largest share (55.4%) of emissions from all young coal power units in 2019, followed by India (24.5%). Moreover, the evolution of emissions from young power units reflected regional disparities in fuel types owing to the differences in resource endowments.

CO2 emissions increased from 7.5 Gt in 1990 to 13.9 Gt in 2019 at a 2.2% growth rate per year, mainly dominated by the development of coal-fired power capacity in developing countries. In the most of developed regions, such as the United States and Europe, CO2 emissions from the power sector peaked before 2005.

Economies with higher CO2 emission intensities from power plants should enhance the energy efficiencies of fossil fuel-fired power plants by using more advanced electricity technologies and accelerate the transitions of emission-free renewable energy (e.g., solar and wind) in the context of carbon neutrality worldwide, aiming to develop low-carbon power systems in the future for climate change mitigation.