"It is not uncommon for an analyst to conduct a supervised analysis of data to detect which predictors are significantly associated with the outcome. These significant predictors are then used in a visualization (such as a heat map or cluster analysis) on the same data. Not surprisingly, the visualization reliably demonstrates clear patterns between the outcomes and predictors and appears to provide evidence of their importance. However, since the same data are shown, the visualization is essentially cherry picking the results that are only true for these data and which are unlikely to generalize to new data."

Wrote Max Kuhn @topepo and Kjell Johnson, 2019, in "Feature Engineering and Selection: A Practical Approach for Predictive Models" https://bookdown.org/max/FES/

#correlations #NoFreeLunch #electricity #agriculture #livestock #renewables #dataViz #emissions #GHG #methane #GreenhouseForcing #dataScience #featureEngineering #correlation

@chrisnelder
Indeed the oil industry may suffer from lower prices.

I am taking your first project, modifying it a bit: i intend to crunch the numbers on how much CO2 emissions will be avoided by the breakdown intended by the US administration.
Economic recession might slow down greenhouse growth as observed during the COVID lockdown: http://data.yt/projections/2024-results.html

@martinvermeer @gwagner

#GreenHouseForcing #climateChange #climateBreakdown #emissions #trade #imports #exports #oilAndGas #energy

Changing our diets and ways of producing food is crucial to combat climate change and increase human health. A key change is lessening the impact of meat and animal products like eggs and dairy. 🧵

#FAO #animalProduction #animalWelfare #food #animal #animals #welfare #deforestation #beef #chicken #poultry #imports #exports #agriculture #freeTrade #eggs #milk #diet #dairy #publicHealth #OneHealth #inflation #GreenHouseForcing #emissions #trade

@energyecon

The top 20 highest greenhouse forcing entities collectively accounted for 17.5 GtCO2e in emissions in 2023. The list is dominated by state-owned entities, which make up 16 of the top 20, and includes a significant presence of Chinese entities, eight of which accounted for 17.3% of global fossil fuel and cement #CO2 emissions in 2023.
https://carbonmajors.org/briefing/The-Carbon-Majors-Database-2023-Update-31397

#coal #carbon #fossil #energy #CarbonMajors #globalWarming #GHG #climateCollapse #climateChange #oilAndGas #greenhouseForcing

We would halve #methane emissions from North America if we cut cattle by half 🧵

A most efficient path would be to target #USA because the headcount is biggest and because each bovine emits most if bred the American way. Same as in Brazil: https://mas.to/@maugendre/113992940508282754

Ref: http://data.yt/

#livestock #GreenHouseForcing #emissions #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #climateBreakdown #cattle #footprint #agriculture #USPol #climateChange #farming #meat #climateCollapse

@climate @agriculture

Greenhouse gas from livestock digestion in Equatorial Climates 🧵

Along the Equator, it mainly is sheep and bovines that account for methane emissions.
The biggest producers are Ethiopia and Sudan (South Sudan included).

Reference: #GreenHouseForcing http://data.yt/

#Africa #livestock #emissions #cattle #sheep #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #CH4 #climateBreakdown #footprint #agriculture #Indonesia

@food @ecology 🧵

#Cattle husbandry emits #greenhouse gas.
For example:
* South America and the Indian subcontinent breed most bovines who emit most methane.
* China and the Middle East produce too much livestock methane in regard to their bovine headcounts.

Emissions of #methane from livestock digestion per world region:

#Livestock #GreenHouseForcing #emissions #beef #bovines #dairy #GHG #climateChange #FAO #Copernicus #CH4 #climateBreakdown #China #India #Pakistan #MiddleEast #footprint

Let's consider activities that force the Greenhouse Effect, thus @climate change. 🧵

#Livestock digestion emits too much #methane:
• People farm too many bovines in India, Pakistan, Brazil, United States, China;
• People farm too many goats in India, Pakistan, China, Nigeria;
• People farm too many pigs in China and the United States.

#GreenHouseForcing #emissions #goats #beef #cattle #bovines #dairy #food #GHG #climateChange #FAO #EDGAR #Copernicus #CH4 #climateBreakdown #climateCollapse

@agriculture @climate

CH4 emissions from livestock digestion:
* Pakistan doubles emissions between 2005 and 2024.
* Pakistan and Brazil each emit 3,000 Gg/year more in 2023 than in 2005.

#GreenHouseForcing #emissions #methane #beef #cattle #bovines #livestock #dairy #food #GHG #climateChange