#owid — Public Fediverse posts

From #OWID: "What is the most #unequal country in South America? It depends on what metric you look at"

https://ourworldindata.org/data-insights/what-is-the-most-unequal-country-in-south-america-it-depends-on-what-metric-you-look-at

In my country, #Peru, 0.1% gets 22% of the income. Extremely unequal.

#SouthAmerica #Economics #Disparity

From #OWID: "What is the most #unequal country in South America? It depends on what metric you look at"

https://ourworldindata.org/data-insights/what-is-the-most-unequal-country-in-south-america-it-depends-on-what-metric-you-look-at

In my country, #Peru, 0.1% gets 22% of the income. Extremely unequal.

#SouthAmerica #Economics #Disparity

From #OWID: "What is the most #unequal country in South America? It depends on what metric you look at"

https://ourworldindata.org/data-insights/what-is-the-most-unequal-country-in-south-america-it-depends-on-what-metric-you-look-at

In my country, #Peru, 0.1% gets 22% of the income. Extremely unequal.

#SouthAmerica #Economics #Disparity

From #OWID: "What is the most #unequal country in South America? It depends on what metric you look at"

https://ourworldindata.org/data-insights/what-is-the-most-unequal-country-in-south-america-it-depends-on-what-metric-you-look-at

In my country, #Peru, 0.1% gets 22% of the income. Extremely unequal.

#SouthAmerica #Economics #Disparity

From #OWID: "What is the most #unequal country in South America? It depends on what metric you look at"

https://ourworldindata.org/data-insights/what-is-the-most-unequal-country-in-south-america-it-depends-on-what-metric-you-look-at

In my country, #Peru, 0.1% gets 22% of the income. Extremely unequal.

#SouthAmerica #Economics #Disparity

From #OWID: "#Deforestation is no longer inevitable"

https://ourworldindata.org/data-insights/deforestation-is-no-longer-inevitable

#Data seems to indicate that when the pressure subsides, the forests recover.

#environment

From #OWID: "#Deforestation is no longer inevitable"

https://ourworldindata.org/data-insights/deforestation-is-no-longer-inevitable

#Data seems to indicate that when the pressure subsides, the forests recover.

#environment

From #OWID: "#Deforestation is no longer inevitable"

https://ourworldindata.org/data-insights/deforestation-is-no-longer-inevitable

#Data seems to indicate that when the pressure subsides, the forests recover.

#environment

From #OWID: "#Deforestation is no longer inevitable"

https://ourworldindata.org/data-insights/deforestation-is-no-longer-inevitable

#Data seems to indicate that when the pressure subsides, the forests recover.

#environment

From #OWID: "#Deforestation is no longer inevitable"

https://ourworldindata.org/data-insights/deforestation-is-no-longer-inevitable

#Data seems to indicate that when the pressure subsides, the forests recover.

#environment

Ich spiele ja gerne mit den Chart-Funktionen von #OWiD herum, weil ich die sehr gelungen finde.

Hier ein besonders aussagekräftiges Beispiel zur Entwicklung der #Stromerzeugung nach Erzeugungsart seit 2000 (erzeugte Menge, nicht installierte Leistung!).
https://ourworldindata.org/grapher/electricity-production-by-source?stackMode=relative&time=2000..latest

Ich spiele ja gerne mit den Chart-Funktionen von #OWiD herum, weil ich die sehr gelungen finde.

Hier ein besonders aussagekräftiges Beispiel zur Entwicklung der #Stromerzeugung nach Erzeugungsart seit 2000 (erzeugte Menge, nicht installierte Leistung!).
https://ourworldindata.org/grapher/electricity-production-by-source?stackMode=relative&time=2000..latest

Ich spiele ja gerne mit den Chart-Funktionen von #OWiD herum, weil ich die sehr gelungen finde.

Hier ein besonders aussagekräftiges Beispiel zur Entwicklung der #Stromerzeugung nach Erzeugungsart seit 2000 (erzeugte Menge, nicht installierte Leistung!).
https://ourworldindata.org/grapher/electricity-production-by-source?stackMode=relative&time=2000..latest

Ich spiele ja gerne mit den Chart-Funktionen von #OWiD herum, weil ich die sehr gelungen finde.

Hier ein besonders aussagekräftiges Beispiel zur Entwicklung der #Stromerzeugung nach Erzeugungsart seit 2000 (erzeugte Menge, nicht installierte Leistung!).
https://ourworldindata.org/grapher/electricity-production-by-source?stackMode=relative&time=2000..latest

Ich spiele ja gerne mit den Chart-Funktionen von #OWiD herum, weil ich die sehr gelungen finde.

Hier ein besonders aussagekräftiges Beispiel zur Entwicklung der #Stromerzeugung nach Erzeugungsart seit 2000 (erzeugte Menge, nicht installierte Leistung!).
https://ourworldindata.org/grapher/electricity-production-by-source?stackMode=relative&time=2000..latest

The 20 year lag is quite something. It tells a story. That's some patience, before seeing the impact on the population at large!

"Smoking was a 20th-century problem. [..] it became steadily more common. By the 1960s, it was extremely widespread: on average, American adults [bought] more than 10 cigarettes every day."

https://ourworldindata.org/smoking-big-problem-in-brief

#OurWorldInData #OWID #opendata #smoking #lungcancer

The 20 year lag is quite something. It tells a story. That's some patience, before seeing the impact on the population at large!

"Smoking was a 20th-century problem. [..] it became steadily more common. By the 1960s, it was extremely widespread: on average, American adults [bought] more than 10 cigarettes every day."

https://ourworldindata.org/smoking-big-problem-in-brief

#OurWorldInData #OWID #opendata #smoking #lungcancer

The 20 year lag is quite something. It tells a story. That's some patience, before seeing the impact on the population at large!

"Smoking was a 20th-century problem. [..] it became steadily more common. By the 1960s, it was extremely widespread: on average, American adults [bought] more than 10 cigarettes every day."

https://ourworldindata.org/smoking-big-problem-in-brief

#OurWorldInData #OWID #opendata #smoking #lungcancer

The 20 year lag is quite something. It tells a story. That's some patience, before seeing the impact on the population at large!

"Smoking was a 20th-century problem. [..] it became steadily more common. By the 1960s, it was extremely widespread: on average, American adults [bought] more than 10 cigarettes every day."

https://ourworldindata.org/smoking-big-problem-in-brief

#OurWorldInData #OWID #opendata #smoking #lungcancer

The 20 year lag is quite something. It tells a story. That's some patience, before seeing the impact on the population at large!

"Smoking was a 20th-century problem. [..] it became steadily more common. By the 1960s, it was extremely widespread: on average, American adults [bought] more than 10 cigarettes every day."

https://ourworldindata.org/smoking-big-problem-in-brief

#OurWorldInData #OWID #opendata #smoking #lungcancer

“Setting a net-zero target is great – the earlier the better. But there’s a risk that countries fixate too much on the end goal, and don’t care about how they get there.” #owid #ourworldindata #hannahritchie https://open.substack.com/pub/hannahritchie/p/net-zero-delay?r=5ah19&utm_medium=ios&utm_campaign=post

Catching up on #30DayChartChallenge, I guess this one combines the last 3 days themes: #OWID, hazards, humans.
I like how the smoother helps see the overall trend of ozone recovery since the Montreal Protocol was adopted and how the bootstrap confidence interval reflects recent variation. Puzzled/concerned by the low 2020/2021 values, though.

Catching up on #30DayChartChallenge, I guess this one combines the last 3 days themes: #OWID, hazards, humans.
I like how the smoother helps see the overall trend of ozone recovery since the Montreal Protocol was adopted and how the bootstrap confidence interval reflects recent variation. Puzzled/concerned by the low 2020/2021 values, though.

Catching up on #30DayChartChallenge, I guess this one combines the last 3 days themes: #OWID, hazards, humans.
I like how the smoother helps see the overall trend of ozone recovery since the Montreal Protocol was adopted and how the bootstrap confidence interval reflects recent variation. Puzzled/concerned by the low 2020/2021 values, though.

Catching up on #30DayChartChallenge, I guess this one combines the last 3 days themes: #OWID, hazards, humans.
I like how the smoother helps see the overall trend of ozone recovery since the Montreal Protocol was adopted and how the bootstrap confidence interval reflects recent variation. Puzzled/concerned by the low 2020/2021 values, though.

Catching up on #30DayChartChallenge, I guess this one combines the last 3 days themes: #OWID, hazards, humans.
I like how the smoother helps see the overall trend of ozone recovery since the Montreal Protocol was adopted and how the bootstrap confidence interval reflects recent variation. Puzzled/concerned by the low 2020/2021 values, though.

Since I was already making these figures, might as well submit them for the #30DayChartChallenge Day6: #OWID.

CO2 emissions by regions and countries. Made in #Stata using the #treemap package (https://github.com/asjadnaqvi/stata-treemap). One of the hardest ones to code but it's pretty solid now.

Since I was already making these figures, might as well submit them for the #30DayChartChallenge Day6: #OWID.

CO2 emissions by regions and countries. Made in #Stata using the #treemap package (https://github.com/asjadnaqvi/stata-treemap). One of the hardest ones to code but it's pretty solid now.

Since I was already making these figures, might as well submit them for the #30DayChartChallenge Day6: #OWID.

CO2 emissions by regions and countries. Made in #Stata using the #treemap package (https://github.com/asjadnaqvi/stata-treemap). One of the hardest ones to code but it's pretty solid now.

Since I was already making these figures, might as well submit them for the #30DayChartChallenge Day6: #OWID.

CO2 emissions by regions and countries. Made in #Stata using the #treemap package (https://github.com/asjadnaqvi/stata-treemap). One of the hardest ones to code but it's pretty solid now.

Tremors from FTX's collapse reverberate through the scientific community - With Sam Bankman-Fried involved in so many philanthropic ventures... - https://cointelegraph.com/news/tremors-from-ftx-s-collapse-reverberate-through-the-scientific-community #biosciences #propublica #securebio #esvelt #kovite #owid

Tremors from FTX's collapse reverberate through the scientific community

https://cointelegraph.com/news/tremors-from-ftx-s-collapse-reverberate-through-the-scientific-community

#Biosciences #ProPublica #SecureBio #Esvelt #Kovite #OWID

Tremors from FTX's collapse reverberate through the scientific community

https://cointelegraph.com/news/tremors-from-ftx-s-collapse-reverberate-through-the-scientific-community

#Biosciences #ProPublica #SecureBio #Esvelt #Kovite #OWID