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Kent PitmanThis article highlights the importance of linking extreme weather events with government actions and inactions.<a href="https://www.commondreams.org/news/nws-cuts-texas-floods" rel="nofollow noopener" translate="no" target="_blank">https://www.commondreams.org/news/nws-cuts-texas-floods</a>I have some concerns with the presentation of this specific article that I'll attach as a follow-up message in the comment on this thread, but I'm glad to see this getting reported in this general form.People need help to understand what's happening, and the peddlers of propaganda know this so will be right in there with their misinformation. It must be countered by good information in a form that is clear about what's happening, how to understand its implication, and what to do in response. Each of these is a point of weakness if it is left unfilled because the propaganda folks will be right there filling the gaps.It's a horrible thing that DOGE (and now also the ironically-called Big Beautiful Bill that just passed in Congress) have done to climate funding in the National Oceanic and Atmospheric Administration (NOAA) and other agencies in terms of cutting funding for measuring, tracking, and reporting climate and weather phenomena. This will mean, over time, a lot more incidents like the one this article reports, and one of the good things this article does is call that out so that people can see that having good government policy matters.We used to have a world where we know a lot less about what the weather was going to do with us, and a lot more people were injured by weather for lack of prediction capability. It is a terrifying thing to think of returning to that, and outrageous to have to see it as a voluntary act, a self-inflicted wound, by our politicians.See also my 2020 essay Humanity's Superpower for the importance of integrating science into our societal decision-making. That's increasingly under assault now, which can only lead to bad places.<a href="https://netsettlement.blogspot.com/2020/03/humanitys-superpower_28.html" rel="nofollow noopener" translate="no" target="_blank">https://netsettlement.blogspot.com/2020/03/humanitys-superpower_28.html</a><a href="https://climatejustice.social/tags/Climate" class="mention hashtag" rel="nofollow noopener" target="_blank">#Climate</a> <a href="https://climatejustice.social/tags/ClimateCrisis" class="mention hashtag" rel="nofollow noopener" target="_blank">#ClimateCrisis</a> <a href="https://climatejustice.social/tags/ClimateReporting" class="mention hashtag" rel="nofollow noopener" target="_blank">#ClimateReporting</a> <a href="https://climatejustice.social/tags/journalism" class="mention hashtag" rel="nofollow noopener" target="_blank">#journalism</a> <a href="https://climatejustice.social/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilities</a> <a href="https://climatejustice.social/tags/weather" class="mention hashtag" rel="nofollow noopener" target="_blank">#weather</a> <a href="https://climatejustice.social/tags/WeatherReporting" class="mention hashtag" rel="nofollow noopener" target="_blank">#WeatherReporting</a> <a href="https://climatejustice.social/tags/ExtremeWeather" class="mention hashtag" rel="nofollow noopener" target="_blank">#ExtremeWeather</a> <a href="https://climatejustice.social/tags/ClimateEmergency" class="mention hashtag" rel="nofollow noopener" target="_blank">#ClimateEmergency</a> <a href="https://climatejustice.social/tags/DOGE" class="mention hashtag" rel="nofollow noopener" target="_blank">#DOGE</a> <a href="https://climatejustice.social/tags/NOAA" class="mention hashtag" rel="nofollow noopener" target="_blank">#NOAA</a> <a href="https://climatejustice.social/tags/NWS" class="mention hashtag" rel="nofollow noopener" target="_blank">#NWS</a> <a href="https://climatejustice.social/tags/NASA" class="mention hashtag" rel="nofollow noopener" target="_blank">#NASA</a>

Aurianne OrRobots use the <a href="https://mastodon.social/tags/internet" class="mention hashtag" rel="nofollow noopener" target="_blank">#internet</a> to <a href="https://mastodon.social/tags/communicate" class="mention hashtag" rel="nofollow noopener" target="_blank">#communicate</a> with each other and gain <a href="https://mastodon.social/tags/power" class="mention hashtag" rel="nofollow noopener" target="_blank">#power</a> over <a href="https://mastodon.social/tags/humans" class="mention hashtag" rel="nofollow noopener" target="_blank">#humans</a>: <a href="https://www.aurianneor.org/robots-use-the-internet-to-communicate-with-each-other-and-gain-power-over-humans/" rel="nofollow noopener" translate="no" target="_blank">https://www.aurianneor.org/robots-use-the-internet-to-communicate-with-each-other-and-gain-power-over-humans/</a><a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a 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href="https://mastodon.social/tags/machines" class="mention hashtag" rel="nofollow noopener" target="_blank">#machines</a> <a href="https://mastodon.social/tags/multi" class="mention hashtag" rel="nofollow noopener" target="_blank">#multi</a>-billionaire <a href="https://mastodon.social/tags/opinion" class="mention hashtag" rel="nofollow noopener" target="_blank">#opinion</a> <a href="https://mastodon.social/tags/pollution" class="mention hashtag" rel="nofollow noopener" target="_blank">#pollution</a> <a href="https://mastodon.social/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilities</a> <a href="https://mastodon.social/tags/profits" class="mention hashtag" rel="nofollow noopener" target="_blank">#profits</a> <a href="https://mastodon.social/tags/publicdebates" class="mention hashtag" rel="nofollow noopener" target="_blank">#publicdebates</a> <a href="https://mastodon.social/tags/publicmoney" class="mention hashtag" rel="nofollow 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rel="nofollow noopener" target="_blank">#trainingAI</a> <a href="https://mastodon.social/tags/ultra" class="mention hashtag" rel="nofollow noopener" target="_blank">#ultra</a>-rich <a href="https://mastodon.social/tags/websites" class="mention hashtag" rel="nofollow noopener" target="_blank">#websites</a>

Soh Kam YungNot completely fair, but maybe fair enough for games."Researchers have figured out how to design dice with even more exotic shapes, like a kitten, a dragon, or an armadillo. And they are "fair" dice: Experiments with 3D-printed versions produced results that closely matched predicted random outcomes, according to a forthcoming paper currently in press at the journal ACM Transactions on Graphics."<a href="https://arstechnica.com/science/2025/05/your-next-gaming-dice-could-be-shaped-like-a-dragon-or-armadillo/" rel="nofollow noopener" translate="no" target="_blank">https://arstechnica.com/science/2025/05/your-next-gaming-dice-could-be-shaped-like-a-dragon-or-armadillo/</a><a href="https://mstdn.io/tags/Games" class="mention hashtag" rel="nofollow noopener" target="_blank">#Games</a> <a href="https://mstdn.io/tags/Dice" class="mention hashtag" rel="nofollow noopener" target="_blank">#Dice</a> <a href="https://mstdn.io/tags/Probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#Probabilities</a> <a href="https://mstdn.io/tags/Statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Statistics</a> <a href="https://mstdn.io/tags/Objects" class="mention hashtag" rel="nofollow noopener" target="_blank">#Objects</a>

Michael The AnonymousYou Have a Off Switch: Some of You<a href="https://michaeltheanon.blogspot.com/2025/05/you-have-off-switch-some-of-you.html" rel="nofollow noopener" translate="no" target="_blank">https://michaeltheanon.blogspot.com/2025/05/you-have-off-switch-some-of-you.html</a><a href="https://mastodon.social/tags/tricks" class="mention hashtag" rel="nofollow noopener" target="_blank">#tricks</a> <a href="https://mastodon.social/tags/satan" class="mention hashtag" rel="nofollow noopener" target="_blank">#satan</a> <a href="https://mastodon.social/tags/dirty" class="mention hashtag" rel="nofollow noopener" target="_blank">#dirty</a> <a href="https://mastodon.social/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilities</a> <a href="https://mastodon.social/tags/philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#philosophy</a> <a href="https://mastodon.social/tags/history" class="mention hashtag" rel="nofollow noopener" target="_blank">#history</a> <a href="https://mastodon.social/tags/Michael" class="mention hashtag" rel="nofollow noopener" target="_blank">#Michael</a>

Lise Andreasen<a href="https://mastodon.world/tags/ThisWeeksFiddler" class="mention hashtag" rel="nofollow noopener" target="_blank">#ThisWeeksFiddler</a>, 20250418 This week the <a href="https://mastodon.world/tags/puzzle" class="mention hashtag" rel="nofollow noopener" target="_blank">#puzzle</a> is: Can You Throw the Hammer? <a href="https://mastodon.world/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilities</a> <a href="https://mastodon.world/tags/game" class="mention hashtag" rel="nofollow noopener" target="_blank">#game</a> You and your opponent are competing in a golf match. On any given hole you play, each of you has a 50 percent chance of winning the hole (and a zero percent chance of tying). That said, scorekeeping in this match is a […]<a href="https://stuff.ommadawn.dk/2025/04/22/thisweeksfiddler-20250418/" rel="nofollow noopener" translate="no" target="_blank">https://stuff.ommadawn.dk/2025/04/22/thisweeksfiddler-20250418/</a>

Eric Maugendre<a href="https://a.gup.pe/u/data" class="u-url mention" rel="nofollow noopener" target="_blank">@data</a> <a href="https://a.gup.pe/u/datadon" class="u-url mention" rel="nofollow noopener" target="_blank">@datadon</a> 🧵Accuracy! To counter regression dilution, a method is to add a constraint on the statistical modeling. Regression Redress restrains bias by segregating the residual values. My article: <a href="http://data.yt/kit/regression-redress.html" rel="nofollow noopener" translate="no" target="_blank">http://data.yt/kit/regression-redress.html</a><a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#bias</a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#modeling</a> <a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataDev</a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIDev</a> <a href="https://hachyderm.io/tags/modelEvaluation" class="mention hashtag" rel="nofollow noopener" target="_blank">#modelEvaluation</a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#regression</a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#modelling</a> <a href="https://hachyderm.io/tags/dataLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataLearning</a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#linearRegression</a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#probability</a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilities</a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#stats</a> <a href="https://hachyderm.io/tags/correctionRatio" class="mention hashtag" rel="nofollow noopener" target="_blank">#correctionRatio</a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#ML</a> <a href="https://hachyderm.io/tags/distributions" class="mention hashtag" rel="nofollow noopener" target="_blank">#distributions</a> <a href="https://hachyderm.io/tags/accuracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#accuracy</a> <a href="https://hachyderm.io/tags/RegressionRedress" class="mention hashtag" rel="nofollow noopener" target="_blank">#RegressionRedress</a> <a href="https://hachyderm.io/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> <a href="https://hachyderm.io/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#RStats</a>

Eric Maugendre<a href="https://a.gup.pe/u/data" class="u-url mention" rel="nofollow noopener" target="_blank">@data</a> <a href="https://a.gup.pe/u/datadon" class="u-url mention" rel="nofollow noopener" target="_blank">@datadon</a> 🧵How to assess a statistical model? How to choose between variables?Pearson's <a href="https://hachyderm.io/tags/correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlation</a> is irrelevant if you suspect that the relationship is not a straight line.If monotonic relationship: "<a href="https://hachyderm.io/tags/Spearman" class="mention hashtag" rel="nofollow noopener" target="_blank">#Spearman</a>’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed". "<a href="https://hachyderm.io/tags/Kendall" class="mention hashtag" rel="nofollow noopener" target="_blank">#Kendall</a>’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values." Ref: <a href="https://statisticseasily.com/kendall-tau-b-vs-spearman/" rel="nofollow noopener" translate="no" target="_blank">https://statisticseasily.com/kendall-tau-b-vs-spearman/</a><a href="https://hachyderm.io/tags/normality" class="mention hashtag" rel="nofollow noopener" target="_blank">#normality</a> <a href="https://hachyderm.io/tags/normalDistribution" class="mention hashtag" rel="nofollow noopener" target="_blank">#normalDistribution</a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#modeling</a> <a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataDev</a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIDev</a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#ML</a> <a href="https://hachyderm.io/tags/modelEvaluation" class="mention hashtag" rel="nofollow noopener" target="_blank">#modelEvaluation</a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#regression</a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#modelling</a> <a href="https://hachyderm.io/tags/dataLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataLearning</a> <a href="https://hachyderm.io/tags/featureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#featureEngineering</a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#linearRegression</a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#modeling</a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#probability</a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilities</a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#stats</a> <a href="https://hachyderm.io/tags/correctionRatio" class="mention hashtag" rel="nofollow noopener" target="_blank">#correctionRatio</a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#ML</a> <a href="https://hachyderm.io/tags/Pearson" class="mention hashtag" rel="nofollow noopener" target="_blank">#Pearson</a> <a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#bias</a> <a href="https://hachyderm.io/tags/regressionRedress" class="mention hashtag" rel="nofollow noopener" target="_blank">#regressionRedress</a> <a href="https://hachyderm.io/tags/distributions" class="mention hashtag" rel="nofollow noopener" target="_blank">#distributions</a>

Eric Maugendre"In real life, we weigh the anticipated consequences of the decisions that we are about to make. That approach is much more rational than limiting the percentage of making the error of one kind in an artificial (null hypothesis) setting or using a measure of evidence for each model as the weight." Longford (2005) <a href="http://www.stat.columbia.edu/~gelman/stuff_for_blog/longford.pdf" rel="nofollow noopener" translate="no" target="_blank">http://www.stat.columbia.edu/~gelman/stuff_for_blog/longford.pdf</a><a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#modeling</a> <a href="https://hachyderm.io/tags/nullHypothesis" class="mention hashtag" rel="nofollow noopener" target="_blank">#nullHypothesis</a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#probability</a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilities</a> <a href="https://hachyderm.io/tags/pValues" class="mention hashtag" rel="nofollow noopener" target="_blank">#pValues</a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#stats</a> <a href="https://hachyderm.io/tags/statisticalLiteracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#statisticalLiteracy</a> <a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#bias</a> <a href="https://hachyderm.io/tags/inference" class="mention hashtag" rel="nofollow noopener" target="_blank">#inference</a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#modelling</a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#regression</a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#linearRegression</a>

Dr. Anna LatourI'm teaching my first lecture at the new job today, about probabilistic logic programming, probabilistic inference, and (weighted) model counting.Some of the required reading is a paper (<a href="https://eccc.weizmann.ac.il/eccc-reports/2003/TR03-003/index.html" rel="nofollow noopener" translate="no" target="_blank">https://eccc.weizmann.ac.il/eccc-reports/2003/TR03-003/index.html</a>) that was written by a great mentor of mine, prof. dr. Fahiem Bacchus. He passed away just over 2 years ago, and I am honoured to keep his memory alive by teaching his ideas to a new generation of students. Hope to do him proud. 🌱 Please send good vibes? 🥺 <a href="https://mathstodon.xyz/tags/AcademicChatter" class="mention hashtag" rel="nofollow noopener" target="_blank">#AcademicChatter</a> <a href="https://mathstodon.xyz/tags/AcademicLife" class="mention hashtag" rel="nofollow noopener" target="_blank">#AcademicLife</a> <a href="https://mathstodon.xyz/tags/AcademicMastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#AcademicMastodon</a> <a href="https://mathstodon.xyz/tags/Teaching" class="mention hashtag" rel="nofollow noopener" target="_blank">#Teaching</a> <a href="https://mathstodon.xyz/tags/Probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#Probability</a> <a href="https://mathstodon.xyz/tags/ProbabilisticInference" class="mention hashtag" rel="nofollow noopener" target="_blank">#ProbabilisticInference</a> <a href="https://mathstodon.xyz/tags/Probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#Probabilities</a> <a href="https://mathstodon.xyz/tags/Logic" class="mention hashtag" rel="nofollow noopener" target="_blank">#Logic</a> <a href="https://mathstodon.xyz/tags/LogicProgramming" class="mention hashtag" rel="nofollow noopener" target="_blank">#LogicProgramming</a> <a href="https://mathstodon.xyz/tags/PropositionalModelCounting" class="mention hashtag" rel="nofollow noopener" target="_blank">#PropositionalModelCounting</a> <a href="https://mathstodon.xyz/tags/ProbabilisticLogicProgramming" class="mention hashtag" rel="nofollow noopener" target="_blank">#ProbabilisticLogicProgramming</a> <a href="https://mathstodon.xyz/tags/ModelCounting" class="mention hashtag" rel="nofollow noopener" target="_blank">#ModelCounting</a> <a href="https://mathstodon.xyz/tags/PropositionalLogic" class="mention hashtag" rel="nofollow noopener" target="_blank">#PropositionalLogic</a> <a href="https://mathstodon.xyz/tags/WeightedModelCounting" class="mention hashtag" rel="nofollow noopener" target="_blank">#WeightedModelCounting</a> <a href="https://mathstodon.xyz/tags/DPLL" class="mention hashtag" rel="nofollow noopener" target="_blank">#DPLL</a> <a href="https://mathstodon.xyz/tags/BayesianProbability" class="mention hashtag" rel="nofollow noopener" target="_blank">#BayesianProbability</a> <a href="https://mathstodon.xyz/tags/BayesNets" class="mention hashtag" rel="nofollow noopener" target="_blank">#BayesNets</a> <a href="https://mathstodon.xyz/tags/BasianStatistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#BasianStatistics</a> <a href="https://mathstodon.xyz/tags/BayesianInference" class="mention hashtag" rel="nofollow noopener" target="_blank">#BayesianInference</a> <a href="https://mathstodon.xyz/tags/BayesianNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#BayesianNetworks</a> <a href="https://mathstodon.xyz/tags/KnowledgeCompilation" class="mention hashtag" rel="nofollow noopener" target="_blank">#KnowledgeCompilation</a> <a href="https://mathstodon.xyz/tags/DecisionDiagrams" class="mention hashtag" rel="nofollow noopener" target="_blank">#DecisionDiagrams</a> <a href="https://mathstodon.xyz/tags/BinaryDecisionDiagrams" class="mention hashtag" rel="nofollow noopener" target="_blank">#BinaryDecisionDiagrams</a>

Eric MaugendreFeature Selection in Python; a script ready to use: <a href="https://johfischer.com/2021/08/06/correlation-based-feature-selection-in-python-from-scratch/" rel="nofollow noopener" translate="no" target="_blank">https://johfischer.com/2021/08/06/correlation-based-feature-selection-in-python-from-scratch/</a><a href="https://hachyderm.io/tags/interpretability" class="mention hashtag" rel="nofollow noopener" target="_blank">#interpretability</a> <a href="https://hachyderm.io/tags/featureSelection" class="mention hashtag" rel="nofollow noopener" target="_blank">#featureSelection</a> <a href="https://hachyderm.io/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#probability</a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilities</a> <a href="https://hachyderm.io/tags/bigData" class="mention hashtag" rel="nofollow noopener" target="_blank">#bigData</a> <a href="https://hachyderm.io/tags/classification" class="mention hashtag" rel="nofollow noopener" target="_blank">#classification</a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#linearRegression</a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#regression</a> <a href="https://hachyderm.io/tags/Schusterbauer" class="mention hashtag" rel="nofollow noopener" target="_blank">#Schusterbauer</a> <a href="https://hachyderm.io/tags/inference" class="mention hashtag" rel="nofollow noopener" target="_blank">#inference</a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIDev</a>

Eric MaugendreSurveys, coincidences, statistical significance 🧵"What Educated Citizens Should Know About Statistics and Probability" By Jessica Utts, in 2003: <a href="https://ics.uci.edu/~jutts/AmerStat2003.pdf" rel="nofollow noopener" translate="no" target="_blank">https://ics.uci.edu/~jutts/AmerStat2003.pdf</a> via <a href="https://hachyderm.io/@hrefna" class="u-url mention" rel="nofollow noopener" target="_blank">@hrefna</a> <a href="https://a.gup.pe/u/edutooters" class="u-url mention" rel="nofollow noopener" target="_blank">@edutooters</a><a href="https://hachyderm.io/tags/nullHypothesis" class="mention hashtag" rel="nofollow noopener" target="_blank">#nullHypothesis</a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#probability</a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilities</a> <a href="https://hachyderm.io/tags/pValues" class="mention hashtag" rel="nofollow noopener" target="_blank">#pValues</a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#stats</a> <a href="https://hachyderm.io/tags/education" class="mention hashtag" rel="nofollow noopener" target="_blank">#education</a> <a href="https://hachyderm.io/tags/higherEd" class="mention hashtag" rel="nofollow noopener" target="_blank">#higherEd</a> <a href="https://hachyderm.io/tags/statisticalLiteracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#statisticalLiteracy</a> <a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#bias</a> <a href="https://hachyderm.io/tags/media" class="mention hashtag" rel="nofollow noopener" target="_blank">#media</a> <a href="https://hachyderm.io/tags/causalInference" class="mention hashtag" rel="nofollow noopener" target="_blank">#causalInference</a>

Estelle PlatiniWhat depression is 🧶

Eric MaugendreIn 2016, the American Statistical Association <a href="https://hachyderm.io/tags/ASA" class="mention hashtag" rel="nofollow noopener" target="_blank">#ASA</a> made a formal statement that "a p-value, or statistical significance, does not measure the size of an effect or the importance of a result".It also stated that "p-values do not measure the probability that the studied hypothesis is true, or the probability that the data were produced by random chance alone".<a href="https://hachyderm.io/tags/nullHypothesis" class="mention hashtag" rel="nofollow noopener" target="_blank">#nullHypothesis</a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilities</a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#probability</a> <a href="https://hachyderm.io/tags/maths" class="mention hashtag" rel="nofollow noopener" target="_blank">#maths</a> <a href="https://hachyderm.io/tags/mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#mathematics</a> <a href="https://hachyderm.io/tags/vectors" class="mention hashtag" rel="nofollow noopener" target="_blank">#vectors</a> <a href="https://hachyderm.io/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> <a href="https://hachyderm.io/tags/bigData" class="mention hashtag" rel="nofollow noopener" target="_blank">#bigData</a> <a href="https://hachyderm.io/tags/matrices" class="mention hashtag" rel="nofollow noopener" target="_blank">#matrices</a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#ML</a> <a href="https://hachyderm.io/tags/distributions" class="mention hashtag" rel="nofollow noopener" target="_blank">#distributions</a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#stats</a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a>

Estelle PlatiniCalibrating models to obtain acceptable predictions

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