#causality — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #causality, aggregated by home.social.
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Семь раз посчитай — один раз урони: моделируем инциденты до деплоя
Ракету не отправляют в космос только потому, что её двигатель и насос успешно прошли стендовые испытания по отдельности. Перед стартом инженеры рассчитывают траекторию, моделируют режимы работы и анализируют сценарии отказов. Расчёт не заменяет реальные тесты, но задаёт для них осмысленную рамку. В софте всё обычно иначе. Распределённый пользовательский путь — например, оформление заказа — собирается из десятков микросервисов, баз и очередей. Разработчики добавляют новую зависимость, видят зелёные тесты, проверяют локальные метрики и выкатывают релиз. Считается, что если при сбое что-то пойдёт не так, настроенная система наблюдаемости обязательно это покажет. Она, конечно, покажет. Но почему при проектировании микросервисов мы так спокойно относимся к тому, что узнаём о хрупкости архитектуры в основном по факту инцидента? Эта статья о том, как получить грубый расчёт деградации системы ещё до релиза. Без отказа от хаос-инжиниринга или мониторинга, а как шаг перед ними. Я расскажу о двух экспериментах, в которых топологическая модель автоматически извлекалась из распределённых трейсов, после чего на ней просчитывались сценарии отказов методом Монте-Карло. Результаты моделирования я затем сравнивал с реальными инъекциями отказов на стендах DeathStarBench и OpenTelemetry Demo. Два эксперимента, результаты и код
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Семь раз посчитай — один раз урони: моделируем инциденты до деплоя
Ракету не отправляют в космос только потому, что её двигатель и насос успешно прошли стендовые испытания по отдельности. Перед стартом инженеры рассчитывают траекторию, моделируют режимы работы и анализируют сценарии отказов. Расчёт не заменяет реальные тесты, но задаёт для них осмысленную рамку. В софте всё обычно иначе. Распределённый пользовательский путь — например, оформление заказа — собирается из десятков микросервисов, баз и очередей. Разработчики добавляют новую зависимость, видят зелёные тесты, проверяют локальные метрики и выкатывают релиз. Считается, что если при сбое что-то пойдёт не так, настроенная система наблюдаемости обязательно это покажет. Она, конечно, покажет. Но почему при проектировании микросервисов мы так спокойно относимся к тому, что узнаём о хрупкости архитектуры в основном по факту инцидента? Эта статья о том, как получить грубый расчёт деградации системы ещё до релиза. Без отказа от хаос-инжиниринга или мониторинга, а как шаг перед ними. Я расскажу о двух экспериментах, в которых топологическая модель автоматически извлекалась из распределённых трейсов, после чего на ней просчитывались сценарии отказов методом Монте-Карло. Результаты моделирования я затем сравнивал с реальными инъекциями отказов на стендах DeathStarBench и OpenTelemetry Demo. Два эксперимента, результаты и код
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Семь раз посчитай — один раз урони: моделируем инциденты до деплоя
Ракету не отправляют в космос только потому, что её двигатель и насос успешно прошли стендовые испытания по отдельности. Перед стартом инженеры рассчитывают траекторию, моделируют режимы работы и анализируют сценарии отказов. Расчёт не заменяет реальные тесты, но задаёт для них осмысленную рамку. В софте всё обычно иначе. Распределённый пользовательский путь — например, оформление заказа — собирается из десятков микросервисов, баз и очередей. Разработчики добавляют новую зависимость, видят зелёные тесты, проверяют локальные метрики и выкатывают релиз. Считается, что если при сбое что-то пойдёт не так, настроенная система наблюдаемости обязательно это покажет. Она, конечно, покажет. Но почему при проектировании микросервисов мы так спокойно относимся к тому, что узнаём о хрупкости архитектуры в основном по факту инцидента? Эта статья о том, как получить грубый расчёт деградации системы ещё до релиза. Без отказа от хаос-инжиниринга или мониторинга, а как шаг перед ними. Я расскажу о двух экспериментах, в которых топологическая модель автоматически извлекалась из распределённых трейсов, после чего на ней просчитывались сценарии отказов методом Монте-Карло. Результаты моделирования я затем сравнивал с реальными инъекциями отказов на стендах DeathStarBench и OpenTelemetry Demo. Два эксперимента, результаты и код
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Семь раз посчитай — один раз урони: моделируем инциденты до деплоя
Ракету не отправляют в космос только потому, что её двигатель и насос успешно прошли стендовые испытания по отдельности. Перед стартом инженеры рассчитывают траекторию, моделируют режимы работы и анализируют сценарии отказов. Расчёт не заменяет реальные тесты, но задаёт для них осмысленную рамку. В софте всё обычно иначе. Распределённый пользовательский путь — например, оформление заказа — собирается из десятков микросервисов, баз и очередей. Разработчики добавляют новую зависимость, видят зелёные тесты, проверяют локальные метрики и выкатывают релиз. Считается, что если при сбое что-то пойдёт не так, настроенная система наблюдаемости обязательно это покажет. Она, конечно, покажет. Но почему при проектировании микросервисов мы так спокойно относимся к тому, что узнаём о хрупкости архитектуры в основном по факту инцидента? Эта статья о том, как получить грубый расчёт деградации системы ещё до релиза. Без отказа от хаос-инжиниринга или мониторинга, а как шаг перед ними. Я расскажу о двух экспериментах, в которых топологическая модель автоматически извлекалась из распределённых трейсов, после чего на ней просчитывались сценарии отказов методом Монте-Карло. Результаты моделирования я затем сравнивал с реальными инъекциями отказов на стендах DeathStarBench и OpenTelemetry Demo. Два эксперимента, результаты и код
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‘Aly argues that the economic success of the Third Reich was built on the expropriation of Jewish property and the resources of occupied territories. This wealth was then redistributed to ordinary Germans in the form of social benefits, tax breaks, and other incentives, effectively buying their loyalty to the regime.’ https://www.westrivereagle.com/articles/the-economics-of-fascism-insights-from-goetz-alys-hitlers-beneficiaries-and-the-fascist-manifesto/
Hence Trump’s fascist U.S., U.K., Israeli and the proxi Nations of his IV Reich will fail; the expropriation of Palestinian, Arab, American and African property is not being redistributed to ordinary Americans or any other people other than the ultra rich. They finance in the stupid belief that the MAD valuation of their bubble markets are sustainable. Being overweight in nonrenewable industries, arms, Ai for surveillance and propaganda is not! Fascist logic is no longer viable as its tech puts people out of work and it does not act on sound reasons, but for amplifying inequality and injustice. Hence the fascists have less and less capital to finance their war, terror, purges and prison camps. So isn’t its end near as its solutions are fatal? #FascistLogic #causality #Philosophy #SpeculativeLogic #DialecticPrinciple #MarketFeedback #TheGreatCollapse
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What Async Promised and What It Delivered
https://causality.blog/essays/what-async-promised/
#HackerNews #Async #Programming #JavaScript #Promises #WebDevelopment #Causality
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On FTL and causality: add new time. Light vortices look a lot like a light cone on a time-space diagram to me.
Do photons have spin...? Long Covid sucks.
While we all live in a money-obsessed hellscape, nothing needs "utility" to be worth testing or knowing.
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Summary #Precis #Abstract #Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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On FTL and causality: add new time. Light vortices look a lot like a light cone on a time-space diagram to me.
Do photons have spin...? Long Covid sucks.
While we all live in a money-obsessed hellscape, nothing needs "utility" to be worth testing or knowing.
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Summary #Precis #Abstract #Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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On FTL and causality: add new time. Light vortices look a lot like a light cone on a time-space diagram to me.
Do photons have spin...? Long Covid sucks.
While we all live in a money-obsessed hellscape, nothing needs "utility" to be worth testing or knowing.
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Summary #Precis #Abstract #Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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On FTL and causality: add new time. Light vortices look a lot like a light cone on a time-space diagram to me.
Do photons have spin...? Long Covid sucks.
While we all live in a money-obsessed hellscape, nothing needs "utility" to be worth testing or knowing.
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Summary #Precis #Abstract #Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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On FTL and causality: add new time. Light vortices look a lot like a light cone on a time-space diagram to me.
Do photons have spin...? Long Covid sucks.
While we all live in a money-obsessed hellscape, nothing needs "utility" to be worth testing or knowing.
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Summary #Precis #Abstract #Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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9:40 ok, I get we all live in a money-obsessed hellscape, but nothing needs to be "useful" in order to be worth learning about, appreciating, or observing at all.
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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9:40 ok, I get we all live in a money-obsessed hellscape, but nothing needs to be "useful" in order to be worth learning about, appreciating, or observing at all.
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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9:40 ok, I get we all live in a money-obsessed hellscape, but nothing needs to be "useful" in order to be worth learning about, appreciating, or observing at all.
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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9:40 ok, I get we all live in a money-obsessed hellscape, but nothing needs to be "useful" in order to be worth learning about, appreciating, or observing at all.
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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9:40 ok, I get we all live in a money-obsessed hellscape, but nothing needs to be "useful" in order to be worth learning about, appreciating, or observing at all.
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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But yeah, I am confused about the polaritons.
(Polaritrons? I'm not hearing stuff / processing audio precisely, lately. ) Light has a shape? Or, like, a shape in time? Cuz that -3, -2, -1, 0, +1, +2, +3 image looks a lot like a light cone on a time-space diagram. To me, at least. The things with the light at diagonal lines in space.Wait. Spin? Do photons have spin? I'm gonna get a used copy of my uni textbook off someone and try to remember anything. Yaaay Long Covid! (Twice, Doubled, or Squared! Per your preference.)
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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But yeah, I am confused about the polaritons.
(Polaritrons? I'm not hearing stuff / processing audio precisely, lately. ) Light has a shape? Or, like, a shape in time? Cuz that -3, -2, -1, 0, +1, +2, +3 image looks a lot like a light cone on a time-space diagram. To me, at least. The things with the light at diagonal lines in space.Wait. Spin? Do photons have spin? I'm gonna get a used copy of my uni textbook off someone and try to remember anything. Yaaay Long Covid! (Twice, Doubled, or Squared! Per your preference.)
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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But yeah, I am confused about the polaritons.
(Polaritrons? I'm not hearing stuff / processing audio precisely, lately. ) Light has a shape? Or, like, a shape in time? Cuz that -3, -2, -1, 0, +1, +2, +3 image looks a lot like a light cone on a time-space diagram. To me, at least. The things with the light at diagonal lines in space.Wait. Spin? Do photons have spin? I'm gonna get a used copy of my uni textbook off someone and try to remember anything. Yaaay Long Covid! (Twice, Doubled, or Squared! Per your preference.)
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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But yeah, I am confused about the polaritons.
(Polaritrons? I'm not hearing stuff / processing audio precisely, lately. ) Light has a shape? Or, like, a shape in time? Cuz that -3, -2, -1, 0, +1, +2, +3 image looks a lot like a light cone on a time-space diagram. To me, at least. The things with the light at diagonal lines in space.Wait. Spin? Do photons have spin? I'm gonna get a used copy of my uni textbook off someone and try to remember anything. Yaaay Long Covid! (Twice, Doubled, or Squared! Per your preference.)
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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But yeah, I am confused about the polaritons.
(Polaritrons? I'm not hearing stuff / processing audio precisely, lately. ) Light has a shape? Or, like, a shape in time? Cuz that -3, -2, -1, 0, +1, +2, +3 image looks a lot like a light cone on a time-space diagram. To me, at least. The things with the light at diagonal lines in space.Wait. Spin? Do photons have spin? I'm gonna get a used copy of my uni textbook off someone and try to remember anything. Yaaay Long Covid! (Twice, Doubled, or Squared! Per your preference.)
https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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On how faster-than-light info would affect (our understanding of) causality: "And then nothing makes sense anymore." Since when has science stopped testing things that seemed "unintuitive" on the first pass?
Wouldn't that just sort itself out, and then we'd make new inferences to test? Cuz it sounds like an additional dimension of time would be useful here. Which... is probably a meme. "Just add a new dimension!" Ok yeah, but what if we did tho. (Eddie Woo intensifies.)https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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On how faster-than-light info would affect (our understanding of) causality: "And then nothing makes sense anymore." Since when has science stopped testing things that seemed "unintuitive" on the first pass?
Wouldn't that just sort itself out, and then we'd make new inferences to test? Cuz it sounds like an additional dimension of time would be useful here. Which... is probably a meme. "Just add a new dimension!" Ok yeah, but what if we did tho. (Eddie Woo intensifies.)https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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On how faster-than-light info would affect (our understanding of) causality: "And then nothing makes sense anymore." Since when has science stopped testing things that seemed "unintuitive" on the first pass?
Wouldn't that just sort itself out, and then we'd make new inferences to test? Cuz it sounds like an additional dimension of time would be useful here. Which... is probably a meme. "Just add a new dimension!" Ok yeah, but what if we did tho. (Eddie Woo intensifies.)https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
-
On how faster-than-light info would affect (our understanding of) causality: "And then nothing makes sense anymore." Since when has science stopped testing things that seemed "unintuitive" on the first pass?
Wouldn't that just sort itself out, and then we'd make new inferences to test? Cuz it sounds like an additional dimension of time would be useful here. Which... is probably a meme. "Just add a new dimension!" Ok yeah, but what if we did tho. (Eddie Woo intensifies.)https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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On how faster-than-light info would affect (our understanding of) causality: "And then nothing makes sense anymore." Since when has science stopped testing things that seemed "unintuitive" on the first pass?
Wouldn't that just sort itself out, and then we'd make new inferences to test? Cuz it sounds like an additional dimension of time would be useful here. Which... is probably a meme. "Just add a new dimension!" Ok yeah, but what if we did tho. (Eddie Woo intensifies.)https://www.youtube.com/watch?v=E1RVRB9X3H0
#Physics #Microscopy #Light #EM #Fields #ParticlePhysics #Energy #science #ScienceMastodon #ScientificMethods #learning #testing #experiments #experimentation #LightVortices #LightVortex #CausalInference #Causality #IDFK
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Directed Acyclic Graphs (DAGs) and Regression for Causal Inference by Susan Alber (2022) health.ucdavis.edu/media-resour... #intervention #policy #causality #causalInference #stats #statistics #counterFactuals #probabilities #causation #confounding
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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
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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
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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
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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
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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
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Whew! I just about didn't make it, but I'm back from 2015.
Did it work?
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Cause and Effect, the chancellors of God.
Ralph Waldo Emerson (1803-1882) American essayist, lecturer, poet
Essay (1841), “Self-Reliance,” Essays: First Series, No. 2More about this quote: wist.info/emerson-ralph-waldo/…
#quote #quotes #quotation #qotd #emerson #ralphwaldoemerson #causalrelationship #causality #cause #chainofeffect #consequences #divineplan #divinepurpose #divinewill #effect #executive #God #knockon #nature
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"Mediators, confounders, colliders – a crash course in causal inference"
by Florian Hartig (2019): https://theoreticalecology.wordpress.com/2019/04/14/mediators-confounders-colliders-a-crash-course-in-causal-inference/#offPolicy #causality #causalInference #stats #statistics #counterFactuals #probabilities #ML #ecology #confounding
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"Mediators, confounders, colliders – a crash course in causal inference"
by Florian Hartig (2019): https://theoreticalecology.wordpress.com/2019/04/14/mediators-confounders-colliders-a-crash-course-in-causal-inference/#offPolicy #causality #causalInference #stats #statistics #counterFactuals #probabilities #ML #ecology #confounding
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"Mediators, confounders, colliders – a crash course in causal inference"
by Florian Hartig (2019): https://theoreticalecology.wordpress.com/2019/04/14/mediators-confounders-colliders-a-crash-course-in-causal-inference/#offPolicy #causality #causalInference #stats #statistics #counterFactuals #probabilities #ML #ecology #confounding
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"Mediators, confounders, colliders – a crash course in causal inference"
by Florian Hartig (2019): https://theoreticalecology.wordpress.com/2019/04/14/mediators-confounders-colliders-a-crash-course-in-causal-inference/#offPolicy #causality #causalInference #stats #statistics #counterFactuals #probabilities #ML #ecology #confounding
