#causality — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #causality, aggregated by home.social.
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The law of causality teaches us that every effect has a reason.
Understanding it helps steer choices and predict outcomes.
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The law of causality teaches us that every effect has a reason.
Understanding it helps steer choices and predict outcomes.
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Matthew Soteriou has revised his SEP-entry on The Disjunctive Theory of Perception, https://plato.stanford.edu/entries/perception-disjunctive/
#perception #havainto #consciousness #tietoisuus #externalism #internalism #TechnoPhenomenology #mind #philosophy #filosofia #mieli #qualia #philosophyOfMind #illusion #hallucination #causality #realism #todellisuus #reality
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Matthew Soteriou has revised his SEP-entry on The Disjunctive Theory of Perception, https://plato.stanford.edu/entries/perception-disjunctive/
#perception #havainto #consciousness #tietoisuus #externalism #internalism #TechnoPhenomenology #mind #philosophy #filosofia #mieli #qualia #philosophyOfMind #illusion #hallucination #causality #realism #todellisuus #reality
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#Mining sub-Saharan Africa is expanding rapidly. This poses a key threat to tropical forests.
"For every hectare of direct deforestation due to the mine footprint, mining triggers, on average, 34 hectares of additional offsite loss within five years through ancillary activities, including agriculture and settlements. Mines extracting cobalt and copper—key energy transition minerals—caused the highest amount of additional deforestation."
Morton et al. (2026). "Mining triggers extensive additional deforestation in sub-Saharan Africa" https://doi.org/10.1038/s41586-026-10551-2 🧩 🧵
#extraction #landscape #pollution #cobalt #copper #gold #climateChange #rivers #deforestation #soil #carbon #causality #land #footprint #forests #landLoss #landUse #Africa #Congo #DRC #Centrafrique #Zambia #ZA #SouthAfrica
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#Mining sub-Saharan Africa is expanding rapidly. This poses a key threat to tropical forests.
"For every hectare of direct deforestation due to the mine footprint, mining triggers, on average, 34 hectares of additional offsite loss within five years through ancillary activities, including agriculture and settlements. Mines extracting cobalt and copper—key energy transition minerals—caused the highest amount of additional deforestation."
Morton et al. (2026). "Mining triggers extensive additional deforestation in sub-Saharan Africa" https://doi.org/10.1038/s41586-026-10551-2 🧩 🧵
#extraction #landscape #pollution #cobalt #copper #gold #climateChange #rivers #deforestation #soil #carbon #causality #land #footprint #forests #landLoss #landUse #Africa #Congo #DRC #Centrafrique #Zambia #ZA #SouthAfrica
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The law of causality says every effect has a cause.
Notice how actions ripple forward, shaping outcomes.
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The law of causality says every effect has a cause.
Notice how actions ripple forward, shaping outcomes.
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Three legs are needed for deductive causal inference:
"Without assumptions regarding construct validity, one cannot accurately label the cause or outcome. Without assumptions regarding external validity, one cannot label the conditions enabling the cause to have an effect. If any of the assumptions regarding internal, construct, and external validity are missing, the claim is not deductively supported. The critical role of theoretical and substantive knowledge in deductive causal inference is illuminated by making such assumptions explicit. This article critically reviews approaches to identification in causal inference while developing a framework called causal specification. Causal specification augments existing identification strategies to enable and justify deductive, generalized claims about causes and effects. In the process, we review a variety of developments in the philosophy of science and causality and interdisciplinary social science methodology."Esterling, K., Brady, D. & Schwitzgebel, E. (2025). "The necessity of construct and external validity for deductive causal inference" https://doi.org/10.1515/jci-2024-0002
#logics #validity #deduction #generalization #identification #causality #correlations #ProofTheory #PhilSci #truth #causalInference #socialScience
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Three legs are needed for deductive causal inference:
"Without assumptions regarding construct validity, one cannot accurately label the cause or outcome. Without assumptions regarding external validity, one cannot label the conditions enabling the cause to have an effect. If any of the assumptions regarding internal, construct, and external validity are missing, the claim is not deductively supported. The critical role of theoretical and substantive knowledge in deductive causal inference is illuminated by making such assumptions explicit. This article critically reviews approaches to identification in causal inference while developing a framework called causal specification. Causal specification augments existing identification strategies to enable and justify deductive, generalized claims about causes and effects. In the process, we review a variety of developments in the philosophy of science and causality and interdisciplinary social science methodology."Esterling, K., Brady, D. & Schwitzgebel, E. (2025). "The necessity of construct and external validity for deductive causal inference" https://doi.org/10.1515/jci-2024-0002
#logics #validity #deduction #generalization #identification #causality #correlations #ProofTheory #PhilSci #truth #causalInference #socialScience
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1/2 A night of semi sleep. Mind churning away on this irritating observation - #Intuition in #Physics and #Mathematics are not the same thing. In both cases observables make some problems look like they should not be difficult, but they remain remarkably resistant to solution.
In Physics #Causality makes figuring out why a thing is difficult a bit easier. You have more #Obssrvables to work with. If you start with applied mathematics, same-
but the decay envelope is rapid after that... -
1/2 A night of semi sleep. Mind churning away on this irritating observation - #Intuition in #Physics and #Mathematics are not the same thing. In both cases observables make some problems look like they should not be difficult, but they remain remarkably resistant to solution.
In Physics #Causality makes figuring out why a thing is difficult a bit easier. You have more #Obssrvables to work with. If you start with applied mathematics, same-
but the decay envelope is rapid after that... -
The law of causality says every effect has a prior cause.
Spot the cause, and you can anticipate the next effect.
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The law of causality says every effect has a prior cause.
Spot the cause, and you can anticipate the next effect.
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I am starting a thread on global land loss 🧵
#sediments #mining #climate #rivers #deforestation #soil #carbon #causality #land #footprint #dataViz
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I am starting a thread on global land loss 🧵
#sediments #mining #climate #rivers #deforestation #soil #carbon #causality #land #footprint #dataViz
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I am starting a thread on global land loss 🧵
#sediments #mining #climate #rivers #deforestation #soil #carbon #causality #land #footprint #dataViz -
I am starting a thread on global land loss 🧵
#sediments #mining #climate #rivers #deforestation #soil #carbon #causality #land #footprint #dataViz -
Establishing causality in experiments: how deep is deep enough?
Are there opportunity costs of pursuing certain chains of causality to extreme detail?
What do you think?
https://open.substack.com/pub/matthiasrillig/p/establishing-causality-in-experiments?r=1yu2t7&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true -
Establishing causality in experiments: how deep is deep enough?
Are there opportunity costs of pursuing certain chains of causality to extreme detail?
What do you think?
https://open.substack.com/pub/matthiasrillig/p/establishing-causality-in-experiments?r=1yu2t7&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true -
#Foreign and #Domestic #Emergencies Dept: Decoupling from #Causality and #Reality in the current administration continues apace. By their own accounts things are going exceptionally well…
Hammering in at terminal velocity is the only thing left on the menu.
The purest of Pure #Dementia -
We have to think very much about #Causality, and whether it is bounded properly in terms of #Physics or #Mathematics. In other words does causality need one or the other ? .The mathematical #Universe of possibilities is far larger than #Physical models can accomodate. Do we need those in some fundamental aspect ? #Erdos spent a lot of time with this. #Ramanujan may have answered directly. The question is phrased differently in most relevant contexts
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We have to think very much about #Causality, and whether it is bounded properly in terms of #Physics or #Mathematics. In other words does causality need one or the other ? .The mathematical #Universe of possibilities is far larger than #Physical models can accomodate. Do we need those in some fundamental aspect ? #Erdos spent a lot of time with this. #Ramanujan may have answered directly. The question is phrased differently in most relevant contexts
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Every event has a cause, and every effect is a trace of what came before.
This law helps connect choices to outcomes.
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Every event has a cause, and every effect is a trace of what came before.
This law helps connect choices to outcomes.
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Causal discovery under skewed noise. 📊🔎
Daniel Klippert from Alexander Marx’s Causality group at RC Trust presents a poster at ICML 2026 in Seoul. 🎓
His work with Alexander Marx introduces SkewD, a method for causal discovery when real-world data does not follow neat, symmetric patterns. ⚙️🧠
https://rc-trust.ai/news/news-detail/causal-discovery-under-skewed-noise
#ICML2026 #Causality #MachineLearning #Statistics #TrustworthyAI -
If kamma is volitional/intentional action (cetanā), that means it's extremely minute. Every small intentional movement of the body/brain or mind plants a seed (bīja) for the future fruition (phala) of perceiving that one has a body or mind to move.
#buddhism #causality #psychology #karma #kamma #volition #intention #action #perception #body #mind #namarupa
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If kamma is volitional/intentional action (cetanā), that means it's extremely minute. Every small intentional movement of the body/brain or mind plants a seed (bīja) for the future fruition (phala) of perceiving that one has a body or mind to move.
#buddhism #causality #psychology #karma #kamma #volition #intention #action #perception #body #mind #namarupa
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Learning from cause and consequence 🤖🔎
Gabin Agbalé, PhD student in Alexander Marx ’s Causality group at RC Trust, attended the Reinforcement Learning Summer School 2026 in Milan. 🇮🇹🎓
The program connected directly to his work on causal representation learning and offered space for feedback, exchange, and future collaborations. 🌍🤝
https://rc-trust.ai/news/news-detail/learning-from-cause-and-consequence
#ReinforcementLearning #Causality #ArtificialIntelligence #PhDLife #TrustworthyAI
Photo: RLSS 2026/ELLIS Unit Milan -
Refining the Link Between REM Sleep Behavior Disorder and Neurodegeneration: Genetic Evidence
https://1ban.news/irbd-neurodegeneration-genetic-causality/
#1ban #irbd #neurodegeneration #genetic #causality #sleep -
...If people actually don't have free will, punishing a natural machine which couldn't be otherwise makes no sense. Harmful people should be removed from society, for society's protection, but not punished, driven into debt, etc.
#society #freedom #freewill #choice #behaviour #nature #einstein #biology #buddhism #complexsystem #complexadaptivesystem #determinism #causality #crime #punishment #prison
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...If people actually don't have free will, punishing a natural machine which couldn't be otherwise makes no sense. Harmful people should be removed from society, for society's protection, but not punished, driven into debt, etc.
#society #freedom #freewill #choice #behaviour #nature #einstein #biology #buddhism #complexsystem #complexadaptivesystem #determinism #causality #crime #punishment #prison
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Many societies operate on the assumption people have free will/choice over their behaviours, but, if one could view the universe on a large enough scale, both Einstein, some biologists, and Buddhism say the system overall is deterministic, meaning, though complex, people are actually natural automata/machines.
#society #freedom #freewill #choice #behaviour #nature #einstein #biology #buddhism #complexsystem #complexadaptivesystem #determinism #karma #kamma #dependentorigination #causality
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Many societies operate on the assumption people have free will/choice over their behaviours, but, if one could view the universe on a large enough scale, both Einstein, some biologists, and Buddhism say the system overall is deterministic, meaning, though complex, people are actually natural automata/machines.
#society #freedom #freewill #choice #behaviour #nature #einstein #biology #buddhism #complexsystem #complexadaptivesystem #determinism #karma #kamma #dependentorigination #causality
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Линейная регрессия на стероидах: Double Machine Learning для устранения смещений в данных
Любой аналитик знает, что самым надёжным способом проверки гипотез являются рандомизированные контролируемые эксперименты (RCT), или, как их называют в народе — A/B-тесты. На практике часто возникают ситуации, когда провести A/B-тест невозможно — в основном это происходит по этическим или техническим причинам. Однако бывают кейсы, когда рандомизация невозможна потому, что treatment-ом является определённое действие пользователя. Например, treatment-ом может быть оформление платной подписки или отмена бронирования на сервисе. Давайте назовём такой вид воздействия добровольным. В русскоязычном пространстве, и в частности на Хабре, достаточно много статей, посвящённых таким методам Causal Inference, как DiD, PSM и Causal Impact. Тем не менее, к моему удивлению, практически нет статей, посвящённых методам на основе ортогонализации и regression adjustment, хотя, на мой взгляд, именно эти методы являются самыми удобными для оценки эффекта от добровольного treatment-а. Пришло время исправить это недоразумение и разобрать метод Double/Debiased Machine Learning (DML) и Partial Linear Regression для задач Causal Inference!
https://habr.com/ru/articles/1043704/
#causal_inference #machine_learning #abтестирование #причинноследственный_анализ #differenceindifference #psm #causalml #causalimpact #causal_effect #causality
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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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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
