#correlations — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #correlations, aggregated by home.social.
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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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La taille du pénis des citoyens corrélée au PIB de leur pays ? La science progresse, parfois… à coups d’études totalement délirantes.
#science #correlations #humour #igNobel
https://www.lesmotsontunsens.com/la-science-des-etudes-a-la-con-un-domaine-de-recherche-tres-serieux/ -
La taille du pénis des citoyens corrélée au PIB de leur pays ? La science progresse, parfois… à coups d’études totalement délirantes.
#science #correlations #humour #igNobel
https://www.lesmotsontunsens.com/la-science-des-etudes-a-la-con-un-domaine-de-recherche-tres-serieux/ -
"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
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"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
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Geometry from Quantum Temporal Correlations
https://arxiv.org/abs/2502.13293
#HackerNews #Geometry #Quantum #Temporal #Correlations #Research #Arxiv #Science
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Geometry from Quantum Temporal Correlations
https://arxiv.org/abs/2502.13293
#HackerNews #Geometry #Quantum #Temporal #Correlations #Research #Arxiv #Science
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Google Search Rankings Correlate HIGHLY with Websites that publish content, use domain names in their URLs, use internal links to connect pages together, and that appear in results on other search engines.
#seo #searchengineoptimization #analysis #correlations #webmarketing #digitalmarketing #algorithms #machinelearning #ai #science #math #yourtaghere
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Google Search Rankings Correlate HIGHLY with Websites that publish content, use domain names in their URLs, use internal links to connect pages together, and that appear in results on other search engines.
#seo #searchengineoptimization #analysis #correlations #webmarketing #digitalmarketing #algorithms #machinelearning #ai #science #math #yourtaghere
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Correlation studies do NOT reveal how Google's algorithms work. Correlation studies do not identify cause-and-effect, they do not point to or imply cause-and-effect, and they do not explain why anything is happening in Google's search results.
#seo #searchengineoptimization #google #searchengines #analytics #correlations #statistics #webmarketing #digitalmarketing
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Correlation studies do NOT reveal how Google's algorithms work. Correlation studies do not identify cause-and-effect, they do not point to or imply cause-and-effect, and they do not explain why anything is happening in Google's search results.
#seo #searchengineoptimization #google #searchengines #analytics #correlations #statistics #webmarketing #digitalmarketing
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"A major function [of deductive #logic is in] assessing exactly what is involved in asserting some set of propositions. […] By omitting some premiss without which the deduction of some conclusion is not valid, it misrepresents the premiss from which this conclusion is obtained, and hence responsibility for the conclusion. To agree to accept partial responsibility as good enough here is like agreeing to say that somebody was responsible for the dinner when he peeled potatoes and the cook did the rest. The first statement cannot be accepted as an elliptical, but allowable, way of making the second statement. And similarly suppression [of some premiss] enables us to obtain as causally responsible a partially sufficient rather than a fully sufficient causal condition."
Valerie Plumwood in Australasian Journal of Logic, 2023: https://ojs.victoria.ac.nz/ajl/issue/view/894 v @rrrichardzach#Plumwood #causality #correlations #economics #reason #ProofTheory #PhilSci #truth #science #ethics #ecofeminism #freedom
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"A major function [of deductive #logic is in] assessing exactly what is involved in asserting some set of propositions. […] By omitting some premiss without which the deduction of some conclusion is not valid, it misrepresents the premiss from which this conclusion is obtained, and hence responsibility for the conclusion. To agree to accept partial responsibility as good enough here is like agreeing to say that somebody was responsible for the dinner when he peeled potatoes and the cook did the rest. The first statement cannot be accepted as an elliptical, but allowable, way of making the second statement. And similarly suppression [of some premiss] enables us to obtain as causally responsible a partially sufficient rather than a fully sufficient causal condition."
Valerie Plumwood in Australasian Journal of Logic, 2023: https://ojs.victoria.ac.nz/ajl/issue/view/894 v @rrrichardzach#Plumwood #causality #correlations #economics #reason #ProofTheory #PhilSci #truth #science #ethics #ecofeminism #freedom
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Improved AI Process Could Better Predict Water Supplies
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https://www.sciencedaily.com/releases/2024/05/240501091622.htm <-- shared technical article
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https://doi.org/10.1609/aaai.v38i21.30337 <-- shared paper
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“A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers [link above] predict water availability from areas in the West where snow amounts aren't being physically measured…”
#GIS #spatial #mapping #water #hydrology #waterresources #spatialanalysis #spatiotemporal #model #modeling #numericalmodeling #computermodel #AI #snowpack #WesternUSA #USWest #watersecurity #prediction #SnowWaterEquivalent #SWE #irrigation #floodcontrol #powergeneration #drought #management #decisions #SnowTelemetry #SNOTEL #machinelearning #attentionmechanisms #correlations #snowpack -
Improved AI Process Could Better Predict Water Supplies
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https://www.sciencedaily.com/releases/2024/05/240501091622.htm <-- shared technical article
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https://doi.org/10.1609/aaai.v38i21.30337 <-- shared paper
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“A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers [link above] predict water availability from areas in the West where snow amounts aren't being physically measured…”
#GIS #spatial #mapping #water #hydrology #waterresources #spatialanalysis #spatiotemporal #model #modeling #numericalmodeling #computermodel #AI #snowpack #WesternUSA #USWest #watersecurity #prediction #SnowWaterEquivalent #SWE #irrigation #floodcontrol #powergeneration #drought #management #decisions #SnowTelemetry #SNOTEL #machinelearning #attentionmechanisms #correlations #snowpack -
I used to be annoyed by the absurdly low p-values that can be obtained when doing #correlations with thousands of data points. Permutation analysis could help to see if the observed relationships might be a random occurence.
Searching now for tools that automate the process, while also explaining clearly what is being done.
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Bitcoin (BTC) Slides Back Below $30K, But Should Pump if These Correlations Re-emerge - Bitcoin (BTC), the cryptocurrency that powers the world’s largest decentralized cryptogra... - https://cryptonews.com/news/bitcoin-btc-slides-back-below-30k-but-should-pump-if-these-correlations-re-emerge.htm #correlations #bitcoinnews #bitcoin #btc #dxy
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Bitcoin (BTC) Slides Back Below $30K, But Should Pump if These Correlations Re-emerge - Bitcoin (BTC), the cryptocurrency that powers the world’s largest decentralized cryptogra... - https://cryptonews.com/news/bitcoin-btc-slides-back-below-30k-but-should-pump-if-these-correlations-re-emerge.htm #correlations #bitcoinnews #bitcoin #btc #dxy
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🔥 In this tutorial, we'll show you to install Giskard #Python #library. In just 4 lines of code, you will discover vulnerabilities, such as:
✅ #Performance biases.
✅ #Data leakage.
✅ Spurious #correlations.
✅ #Overconfidence issues.
✅ #Underconfidence issues.[2/4]
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🔥 In this tutorial, we'll show you to install Giskard #Python #library. In just 4 lines of code, you will discover vulnerabilities, such as:
✅ #Performance biases.
✅ #Data leakage.
✅ Spurious #correlations.
✅ #Overconfidence issues.
✅ #Underconfidence issues.[2/4]
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🎉 The replay of our webinar 'Detect vulnerabilities in your AI models' is now available! 🎥🍿
Detect #biases, #data leakage, spurious #correlations, and confidence issues, using our #Python #library and x2 your #ML #workflow.
Happy learning! 🚀🔬
https://gisk.ar/3Xv0QHn -
🎉 The replay of our webinar 'Detect vulnerabilities in your AI models' is now available! 🎥🍿
Detect #biases, #data leakage, spurious #correlations, and confidence issues, using our #Python #library and x2 your #ML #workflow.
Happy learning! 🚀🔬
https://gisk.ar/3Xv0QHn -
Nice website with (hopefully) spurious correlations: https://www.tylervigen.com/correlation_project/
For instance, there is a correlation coefficient of 0.99 between (A) US spending on science, space, and technology, and (B) suicides by hanging, strangulation and suffocation, in 1999-2009. -
Giskard 1.4 is out! What's new in this version? ⭐
🔪 With Giskard’s new Slice feature, we introduce the possibility to identify business areas in which your #AI models underperform. This will make it easier to debug performance #biases or identify spurious #correlations. We have also added an export/import feature to share your projects, as well as other minor improvements.
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Giskard 1.4 is out! What's new in this version? ⭐
🔪 With Giskard’s new Slice feature, we introduce the possibility to identify business areas in which your #AI models underperform. This will make it easier to debug performance #biases or identify spurious #correlations. We have also added an export/import feature to share your projects, as well as other minor improvements.
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I was reading an #article whose authors made and validated an index for professional prestige! They provided the OP scores for the fields and then listed the 15 top #occupations with highest and lowest mean prestige scores (table).
Below is the gist of the #correlations• #interpersonal is not strongly correlated with the prestige (no relationship).
• Critical thinking is strongly related with the prestige.
• Physical is slightly negatively correlated with the prestige.Not fair at all 🥸
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PhD opportunity in my group of Statistical #Physics of #Complex #Systems at Coventry University.
Interested in #graphs, #networks and #algorithms? Join us to study a new #ensemble of complex networks focusing on #correlations, and determine its relations to the degree-sequence and degree-distribution ensembles, to discover mesoscopic drivers in the #evolution of complex systems.
Please boost widely and feel free to send to possible interested candidates.
https://www.jobs.ac.uk/job/CWC667/phd-studentship-correlation-ensembles-in-complex-networks
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Quan people: I just found a fun #game about #correlations on https://guessthecorrelation.com/ designed by a PhD student.
