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The Kid Should See This 🌈🪐✨<p>💁🏻‍♀️ ICYMI: 🎲🌀 How do mathematicians find patterns in unpredictable events? This <a href="https://universeodon.com/tags/video" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>video</span></a> explains randomness through Michel Talagrand's groundbreaking work on mathematical inequalities.</p><p>Random events follow patterns called "normal distributions". After 1,000 coin flips, getting only heads is almost impossible—randomness becomes predictable within limits.</p><p>👉 Learn more: <a href="https://zurl.co/fHXT4" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">zurl.co/fHXT4</span><span class="invisible"></span></a></p><p><a href="https://universeodon.com/tags/tksst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tksst</span></a> <a href="https://universeodon.com/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>math</span></a> <a href="https://universeodon.com/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://universeodon.com/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://universeodon.com/tags/chaos" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>chaos</span></a> <a href="https://universeodon.com/tags/dice" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dice</span></a> <a href="https://universeodon.com/tags/coins" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>coins</span></a></p>
The Kid Should See This 🌈🪐✨<p>🎲🌀 How do mathematicians find patterns in unpredictable events? This <a href="https://universeodon.com/tags/video" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>video</span></a> explains randomness through Michel Talagrand's groundbreaking work on mathematical inequalities.</p><p>Random events follow patterns called "normal distributions". After 1,000 coin flips, getting only heads is almost impossible—randomness becomes predictable within limits.</p><p>👉 Learn more: <a href="https://thekidshouldseethis.com/post/randomness-probability-math-talagrand" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">thekidshouldseethis.com/post/r</span><span class="invisible">andomness-probability-math-talagrand</span></a></p><p><a href="https://universeodon.com/tags/tksst" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tksst</span></a> <a href="https://universeodon.com/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>math</span></a> <a href="https://universeodon.com/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://universeodon.com/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://universeodon.com/tags/chaos" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>chaos</span></a> <a href="https://universeodon.com/tags/dice" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dice</span></a> <a href="https://universeodon.com/tags/coins" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>coins</span></a></p>
-0--1-<p><span class="h-card" translate="no"><a href="https://snapp.social/@alsutton" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>alsutton</span></a></span> Everytime I go down that rabbit hole, I take a step back and add some context about the <a href="https://mastodon.social/tags/MagicSkyDaddies" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MagicSkyDaddies</span></a>, <a href="https://mastodon.social/tags/ZombieJews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ZombieJews</span></a>, and other <a href="https://mastodon.social/tags/ImaginaryFriends" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImaginaryFriends</span></a> BILLIONS of people <a href="https://mastodon.social/tags/Whisper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Whisper</span></a> their <a href="https://mastodon.social/tags/SelfishWhispers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishWhispers</span></a> to to bend the laws of <a href="https://mastodon.social/tags/Physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Physics</span></a>, <a href="https://mastodon.social/tags/Chemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chemistry</span></a>, <a href="https://mastodon.social/tags/Biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Biology</span></a>, and <a href="https://mastodon.social/tags/Probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Probability</span></a> to grant their <a href="https://mastodon.social/tags/SelfishDesires" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishDesires</span></a> and <a href="https://mastodon.social/tags/beLIEve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>beLIEve</span></a> and will pay 10% of their earnings to. Here is some context:</p>
Steven Saus [he/him]<p>(29 May) Your next gaming dice could be shaped like a dragon or armadillo </p><p>Statistically, &amp;ldquo;the real behavior of a rolling object is largely a function of its geometry.&amp;rdquo;&amp;#8230; </p><p><a href="https://s.faithcollapsing.com/g6yqw" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">s.faithcollapsing.com/g6yqw</span><span class="invisible"></span></a> <br>Archive: ais: <a href="https://archive.md/wip/HYNoa" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">archive.md/wip/HYNoa</span><span class="invisible"></span></a> ia: <a href="https://s.faithcollapsing.com/oeaqj" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">s.faithcollapsing.com/oeaqj</span><span class="invisible"></span></a> </p><p><a href="https://faithcollapsing.com/tags/3d" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>3d</span></a>-printing <a href="https://faithcollapsing.com/tags/computational" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computational</span></a>-science <a href="https://faithcollapsing.com/tags/computer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computer</span></a>-simulations <a href="https://faithcollapsing.com/tags/geometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geometry</span></a> <a href="https://faithcollapsing.com/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://faithcollapsing.com/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a> <a href="https://faithcollapsing.com/tags/shape" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>shape</span></a>-analysis</p>
Skewray Research<p>Stable distributions have two shape parameters that both affect the “chubbiness” of a distribution, α (tail parameter) and γ (core width). The γ parameter corresponds to σ for a normal distribution, while α gives the slope of the tails at large distances from the core. If we are comparing two stable distributions, can we tell which parameter is responsible for the difference?</p><p><a href="https://mathstodon.xyz/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://mathstodon.xyz/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> </p><p><a href="https://www.skewray.com/articles/distance-between-symmetric-stable-distributions" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">skewray.com/articles/distance-</span><span class="invisible">between-symmetric-stable-distributions</span></a></p>
-0--1-<p>We <a href="https://mastodon.social/tags/Whisper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Whisper</span></a> our <a href="https://mastodon.social/tags/SelfishWhispers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishWhispers</span></a> to our <a href="https://mastodon.social/tags/ImaginaryFriends" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImaginaryFriends</span></a> to bend the laws of <a href="https://mastodon.social/tags/Physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Physics</span></a> <a href="https://mastodon.social/tags/Chemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chemistry</span></a> <a href="https://mastodon.social/tags/Biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Biology</span></a> and <a href="https://mastodon.social/tags/Probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Probability</span></a> to grant our <a href="https://mastodon.social/tags/SelfishDesires" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishDesires</span></a>. In <a href="https://mastodon.social/tags/ZombieJew" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ZombieJew</span></a>'s name we <a href="https://mastodon.social/tags/Whisper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Whisper</span></a>. <a href="https://mastodon.social/tags/Amen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Amen</span></a></p>
david jon furbish<p>I cannot think of an applied mathematics that is more beautiful and far-reaching, or philosophically wilder, than probability. No, nonlinear dynamics and chaos people, it’s not even close 🤣</p><p><a href="https://mastodon.online/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a><br><a href="https://mastodon.online/tags/mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mathematics</span></a><br><a href="https://mastodon.online/tags/appliedmathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>appliedmathematics</span></a><br><a href="https://mastodon.online/tags/philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philosophy</span></a><br><a href="https://mastodon.online/tags/philosophyofscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philosophyofscience</span></a> <br><span class="h-card" translate="no"><a href="https://newsmast.community/@philosophy" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>philosophy@newsmast.community</span></a></span> <br><span class="h-card" translate="no"><a href="https://a.gup.pe/u/philosophy" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>philosophy@a.gup.pe</span></a></span></p>
Longreads<p>"Our world should be at its most analyzable, explicable — but still it can feel like sorcery."</p><p>Eric Boodman for New York magazine: <a href="https://longreads.com/2025/04/08/does-luck-exist/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">longreads.com/2025/04/08/does-</span><span class="invisible">luck-exist/</span></a> </p><p><a href="https://mastodon.world/tags/Longreads" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Longreads</span></a> <a href="https://mastodon.world/tags/Luck" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Luck</span></a> <a href="https://mastodon.world/tags/Chance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chance</span></a> <a href="https://mastodon.world/tags/Probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Probability</span></a> <a href="https://mastodon.world/tags/Philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Philosophy</span></a>#Superstition</p>
Ava<p>Suppose I have a random event with k possible outcomes of equal probability. What distribution (if any) describes the probability of obtaining a specific sequence of length m after n events?</p><p><a href="https://mathstodon.xyz/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://mathstodon.xyz/tags/probabilitydistribution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probabilitydistribution</span></a> <a href="https://mathstodon.xyz/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a></p>
-0--1-<p>We <a href="https://mastodon.social/tags/Whisper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Whisper</span></a> our <a href="https://mastodon.social/tags/SelfishWhispers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishWhispers</span></a> to our <a href="https://mastodon.social/tags/ImaginaryFriends" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImaginaryFriends</span></a> to bend the laws of <a href="https://mastodon.social/tags/Physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Physics</span></a> <a href="https://mastodon.social/tags/Chemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chemistry</span></a> <a href="https://mastodon.social/tags/Biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Biology</span></a> &amp; <a href="https://mastodon.social/tags/Probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Probability</span></a> to grant our <a href="https://mastodon.social/tags/SelfishDesires" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishDesires</span></a>. In <a href="https://mastodon.social/tags/ZombieJew" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ZombieJew</span></a>'s name <a href="https://mastodon.social/tags/WePray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WePray</span></a>. <a href="https://mastodon.social/tags/Amen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Amen</span></a></p>
-0--1-<p>More <a href="https://mastodon.social/tags/SelfishWhispers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishWhispers</span></a> to More <a href="https://mastodon.social/tags/ImaginaryFriends" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImaginaryFriends</span></a> to bend the laws of <a href="https://mastodon.social/tags/Physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Physics</span></a> <a href="https://mastodon.social/tags/Chemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chemistry</span></a> <a href="https://mastodon.social/tags/Biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Biology</span></a> and <a href="https://mastodon.social/tags/Probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Probability</span></a> <a href="https://mastodon.social/tags/WillNotMakeThingsBetter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WillNotMakeThingsBetter</span></a></p>
-0--1-<p>More <a href="https://mastodon.social/tags/SelfishWhispers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishWhispers</span></a> to More <a href="https://mastodon.social/tags/ImaginaryFriends" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImaginaryFriends</span></a> to bend the laws of <a href="https://mastodon.social/tags/Physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Physics</span></a> <a href="https://mastodon.social/tags/Chemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chemistry</span></a> <a href="https://mastodon.social/tags/Biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Biology</span></a> and <a href="https://mastodon.social/tags/Probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Probability</span></a> <a href="https://mastodon.social/tags/WillNotMakeThingsBetter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WillNotMakeThingsBetter</span></a> <a href="https://mastodon.social/tags/PamBondi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PamBondi</span></a> <a href="https://mastodon.social/tags/PaulaWhite" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaulaWhite</span></a></p>
Eric Maugendre<p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/data" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>data</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/datadon" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>datadon</span></a></span> 🧵</p><p>Accuracy! To counter regression dilution, a method is to add a constraint on the statistical modeling.<br>Regression Redress restrains bias by segregating the residual values.<br>My article: <a href="http://data.yt/kit/regression-redress.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">data.yt/kit/regression-redress</span><span class="invisible">.html</span></a></p><p><a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bias</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataDev</span></a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIDev</span></a> <a href="https://hachyderm.io/tags/modelEvaluation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelEvaluation</span></a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelling</span></a> <a href="https://hachyderm.io/tags/dataLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataLearning</span></a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linearRegression</span></a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probabilities</span></a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://hachyderm.io/tags/correctionRatio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correctionRatio</span></a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://hachyderm.io/tags/distributions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>distributions</span></a> <a href="https://hachyderm.io/tags/accuracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>accuracy</span></a> <a href="https://hachyderm.io/tags/RegressionRedress" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RegressionRedress</span></a> <a href="https://hachyderm.io/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://hachyderm.io/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a></p>
Ross Kang<p>A post of <span class="h-card" translate="no"><a href="https://mathstodon.xyz/@11011110" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>11011110</span></a></span> has reminded me that (after a year and a half lurking here) it's never too late for me to toot and pin an intro here.</p><p>I am a Canadian mathematician in the Netherlands, and I have been based at the University of Amsterdam since 2022. I also have some rich and longstanding ties to the UK, France, and Japan.</p><p>My interests are somewhere in the nexus of Combinatorics, Probability, and Algorithms. Specifically, I like graph colouring, random graphs, and probabilistic/extremal combinatorics. I have an appreciation for randomised algorithms, graph structure theory, and discrete geometry.</p><p>Around 2020, I began taking a more active role in the community, especially in efforts towards improved fairness and openness in science. I am proud to be part of a team that founded the journal, Innovations in Graph Theory (<a href="https://igt.centre-mersenne.org/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">igt.centre-mersenne.org/</span><span class="invisible"></span></a>), that launched in 2023. (That is probably the main reason I joined mathstodon!) I have also been a coordinator since 2020 of the informal research network, A Sparse (Graphs) Coalition (<a href="https://sparse-graphs.mimuw.edu.pl/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">sparse-graphs.mimuw.edu.pl/</span><span class="invisible"></span></a>), devoted to online collaborative workshops. In 2024, I helped spearhead the MathOA Diamond Open Access Stimulus Fund (<a href="https://www.mathoa.org/diamond-open-access-stimulus-fund/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">mathoa.org/diamond-open-access</span><span class="invisible">-stimulus-fund/</span></a>).</p><p>Until now, my posts have mostly been about scientific publishing and combinatorics.</p><p><a href="https://mathstodon.xyz/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a> <br><a href="https://mathstodon.xyz/tags/openscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openscience</span></a> <br><a href="https://mathstodon.xyz/tags/diamondopenaccess" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>diamondopenaccess</span></a> <br><a href="https://mathstodon.xyz/tags/scientificpublishing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scientificpublishing</span></a> <br><a href="https://mathstodon.xyz/tags/openaccess" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openaccess</span></a> <br><a href="https://mathstodon.xyz/tags/RemoteConferences" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RemoteConferences</span></a> <br><a href="https://mathstodon.xyz/tags/combinatorics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>combinatorics</span></a> <br><a href="https://mathstodon.xyz/tags/graphtheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>graphtheory</span></a> <br><a href="https://mathstodon.xyz/tags/ExtremalCombinatorics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ExtremalCombinatorics</span></a> <br><a href="https://mathstodon.xyz/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a></p>
Eric Maugendre<p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/data" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>data</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/datadon" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>datadon</span></a></span> 🧵</p><p>How to assess a statistical model?<br>How to choose between variables?</p><p>Pearson's <a href="https://hachyderm.io/tags/correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correlation</span></a> is irrelevant if you suspect that the relationship is not a straight line.</p><p>If monotonic relationship:<br>"<a href="https://hachyderm.io/tags/Spearman" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Spearman</span></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".<br>"<a href="https://hachyderm.io/tags/Kendall" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Kendall</span></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."<br>Ref: <a href="https://statisticseasily.com/kendall-tau-b-vs-spearman/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticseasily.com/kendall-t</span><span class="invisible">au-b-vs-spearman/</span></a></p><p><a href="https://hachyderm.io/tags/normality" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>normality</span></a> <a href="https://hachyderm.io/tags/normalDistribution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>normalDistribution</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataDev</span></a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIDev</span></a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://hachyderm.io/tags/modelEvaluation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelEvaluation</span></a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelling</span></a> <a href="https://hachyderm.io/tags/dataLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataLearning</span></a> <a href="https://hachyderm.io/tags/featureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureEngineering</span></a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linearRegression</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probabilities</span></a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://hachyderm.io/tags/correctionRatio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correctionRatio</span></a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://hachyderm.io/tags/Pearson" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pearson</span></a> <a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bias</span></a> <a href="https://hachyderm.io/tags/regressionRedress" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regressionRedress</span></a> <a href="https://hachyderm.io/tags/distributions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>distributions</span></a></p>
Markus Redeker<p>New blog post: A short solution to the Monty Hall problem that I have not seen elsewhere (<a href="https://functor.network/user/414/entry/867" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">functor.network/user/414/entry</span><span class="invisible">/867</span></a>).</p><p><a href="https://mathstodon.xyz/tags/WordsAndSomeFormulas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WordsAndSomeFormulas</span></a> <a href="https://mathstodon.xyz/tags/MontyHall" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MontyHall</span></a> <a href="https://mathstodon.xyz/tags/Probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Probability</span></a> <a href="https://mathstodon.xyz/tags/Mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Mathematics</span></a></p>
-0--1-<p><span class="h-card" translate="no"><a href="https://beige.party/@Guillotine_Jones" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Guillotine_Jones</span></a></span> Every time I encounter people with <a href="https://mastodon.social/tags/OddBeliefs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OddBeliefs</span></a> I remind myself that there are <a href="https://mastodon.social/tags/BillionsOfPeople" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BillionsOfPeople</span></a> who <a href="https://mastodon.social/tags/beLIEve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>beLIEve</span></a> in some flavor of <a href="https://mastodon.social/tags/Omnipotent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Omnipotent</span></a> <a href="https://mastodon.social/tags/Omniscient" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Omniscient</span></a> <a href="https://mastodon.social/tags/Omnipresent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Omnipresent</span></a> <a href="https://mastodon.social/tags/MagicSkyDaddy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MagicSkyDaddy</span></a>, Maybe a <a href="https://mastodon.social/tags/ZombieJew" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ZombieJew</span></a>. They <a href="https://mastodon.social/tags/Whisper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Whisper</span></a> their <a href="https://mastodon.social/tags/SelfishWhispers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishWhispers</span></a> to their <a href="https://mastodon.social/tags/ImaginaryFriends" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImaginaryFriends</span></a> to <a href="https://mastodon.social/tags/BendTheLaws" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BendTheLaws</span></a> of <a href="https://mastodon.social/tags/Physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Physics</span></a> <a href="https://mastodon.social/tags/Chemistry" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chemistry</span></a> <a href="https://mastodon.social/tags/Biology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Biology</span></a> and <a href="https://mastodon.social/tags/Probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Probability</span></a> to <a href="https://mastodon.social/tags/Grant" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Grant</span></a> their <a href="https://mastodon.social/tags/SelfishDesires" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishDesires</span></a>. That chain of thought grounds me to <a href="https://mastodon.social/tags/Reality" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Reality</span></a> and the idea is not as <a href="https://mastodon.social/tags/CrazyAsIThought" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CrazyAsIThought</span></a></p>
-0--1-<p><span class="h-card" translate="no"><a href="https://mastodon.social/@ridicol" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ridicol</span></a></span> Every time I encounter people who are <a href="https://mastodon.social/tags/SelfDelusional" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfDelusional</span></a> I have to remind myself that there are billions of people who believe in an <a href="https://mastodon.social/tags/Omniscient" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Omniscient</span></a> <a href="https://mastodon.social/tags/Omnipresent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Omnipresent</span></a> <a href="https://mastodon.social/tags/Omnipotent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Omnipotent</span></a> <a href="https://mastodon.social/tags/SkyDaddy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SkyDaddy</span></a> and a <a href="https://mastodon.social/tags/ZombieJew" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ZombieJew</span></a>. They <a href="https://mastodon.social/tags/Whisper" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Whisper</span></a> <a href="https://mastodon.social/tags/SelfishWhispers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishWhispers</span></a> to their <a href="https://mastodon.social/tags/ImaginaryFriends" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImaginaryFriends</span></a> to bend the laws of <a href="https://mastodon.social/tags/Physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Physics</span></a> and <a href="https://mastodon.social/tags/Probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Probability</span></a> to grant their <a href="https://mastodon.social/tags/SelfishDesires" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SelfishDesires</span></a> and then I understand the scope of the problem.</p>
Anne of Green Cables<p>Fascinating article on why <a href="https://noc.social/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a>, as we typically know it, may not exist. As someone who has experienced things that had a sub-1% chance of happening multiple times, I enjoy these types of thought exercises.</p><p><a href="https://www.scientificamerican.com/article/why-probability-probably-doesnt-exist-but-its-useful-to-act-like-it-does/" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">scientificamerican.com/article</span><span class="invisible">/why-probability-probably-doesnt-exist-but-its-useful-to-act-like-it-does/</span></a></p><p><a href="https://noc.social/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>math</span></a><br><a href="https://noc.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a><br><a href="https://noc.social/tags/chance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>chance</span></a></p>
Eric Maugendre<p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/data" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>data</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/datadon" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>datadon</span></a></span> 🧵</p><p>Redressing <a href="https://hachyderm.io/tags/Bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bias</span></a>: "Correlation Constraints for Regression Models":<br>Treder et al (2021) <a href="https://doi.org/10.3389/fpsyt.2021.615754" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.3389/fpsyt.2021.615</span><span class="invisible">754</span></a></p><p><a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataDev</span></a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linearRegression</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probabilities</span></a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelling</span></a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://hachyderm.io/tags/correctionRatio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correctionRatio</span></a> <a href="https://hachyderm.io/tags/skLearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>skLearn</span></a> <a href="https://hachyderm.io/tags/scikitLearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scikitLearn</span></a> <a href="https://hachyderm.io/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIDev</span></a></p>