New study uses causal inference to demonstrate that we would avoid 20 % methane emissions if one commodity was replaced.
I have just published a preprint article at https://doi.org/10.5281/zenodo.19019693
#decoupling #agriculture #beef #cattle #carbon #causality #causalInference #causation #confounding #counterFactuals #emissions #GHG #methane #offPolicy #policy #publicPolicy #vegan #climateChange #GreenhouseForcing #greenhouseEffect
New study uses causal analysis to demonstrate big reductions in carbon emissions if fewer bovines.
In ten years, methane emissions from all activities if bovine stop would be 80 % of methane emissions from all activities if no intervention.
Results and causation are presented at https://doi.org/10.5281/zenodo.19019693
#carbon #causality #causalInference #causation #confounding #counterFactuals #emissions #GHG #methane #offPolicy #policy #publicPolicy
This article explores the 3 vital rules of science. Together, they offer a powerful lens for evaluating the validity of claims and conclusions.
#Science #CriticalThinking #Falsifiability #Replicability #Correlation #Causation
The #research journey continues to see if Rupert Sheldrake’s idea of #morphic #resonance and #formative #causation might support an argument that we can influence the #evolution of a more-compassionate society by training our own heart-mind in #compassion using practices such as #metta-bhavana and the Four Immeasurables of #Buddhism. 1/n 🧵
Directed Acyclic Graphs (DAGs) and Regression for Causal Inference
by Susan Alber (2022) https://health.ucdavis.edu/media-resources/ctsc/documents/pdfs/directed-acyclic-graphs20220209.pdf
#intervention #policy #causality #causalInference #stats #statistics #counterFactuals #probabilities #causation #confounding #DAG #DAGs #graphs
Ultimately, any "intelligence" we perceive in these models is projected by us. The model only understands the mathematical links between variables and outcomes. As George Box famously noted: "All models are wrong, but some are useful."
This tread is about generative AI and AGI in general and Large Language Models in particular.
#machinelearning #ai #llm #correlation #causalinference #causation
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