Today, April 25, we remember the French mathematical powerhouse Siméon Denis Poisson, who passed away on this day in 1840. 📐🇫🇷 Poisson was a true "workaholic" of science, famously stating: "Life is good for only two things: doing mathematics and teaching it." Here is why the world of STEM wouldn't be the same without him: 📊 The Poisson Distribution If you’ve ever used statistics to predict how many emails you'll get in an hour or how many shooting stars will fall tonight, you’re using his work! He developed the Poisson Distribution, a mathematical formula that models the probability of rare events occurring in a fixed interval of time or space. 📉✨ 📷 ⚡️ The Master of Potentials Poisson wasn't just about numbers; he was a giant of physics. Poisson’s Equation: A fundamental part of potential theory. It is the backbone of how we calculate gravity, electricity, and magnetism. 🔋🧲 Electricity as Fluid: He was one of the first to treat electricity mathematically, proposing it behaved like two types of fluids. 🌊⚡️ 🔦 The "Poisson Spot" (A Brilliant Mistake!) In 1818, Poisson tried to disprove the wave theory of light by showing it led to an "absurd" conclusion: a bright spot should appear in the middle of a circular shadow. The Irony: Scientist Arago actually did the experiment and found the spot! 💡🎯 Instead of disproving the theory, Poisson accidentally provided the strongest evidence for light as a wave. Today, that bright center is famously called the Poisson Spot. 🏛️ Engineering & Legacy Poisson's Ratio: In engineering and materials science, this is the ratio that tells us how a material thins out when you stretch it. Critical for building everything from bridges to spacecraft! 🌉🚀 Eiffel Tower: He was so influential that his name is one of the 72 engraved on the EiffelTower in Paris! 🗼🇫🇷 Poisson’s productivity was legendary, publishing over 300 works in his lifetime. He proved that even if you’re "wrong" in a debate, your mathematical precision can still lead the world to the truth. #SimeonPoisson #Mathematics #PhysicsHistory #OnThisDay #OTD #Statistics #STEM #Engineering #PoissonDistribution #ScienceLegends #EiffelTower #Calculus Cc: @Polytechnique @NobelPrize @PhysicsWorld @Nature @NASA @IOPPublishing @MathsHistory

“…is probability a measure of our knowledge, or an objective property of reality?” Probability is a measure of our imperfect knowledge, representing our objectively imperfect grasp of reality. This view goes a long way in bridging the traditional, speciously vast divides between epistemology and science, and the statistical and engineering disciplines. See also my reply to your posting on #BrunoDeFinetti. Have a good day. Pace e bene🇨🇦 #SiméonDenisPoisson #PoissonDistribution #Statistics @penrose @geoffreyhinton @elonmusk

🔬 Today’s #EquationsForLife features CeMM Adjunct PI @DSeruggia’s group (@StAnna_CCRI)! The lab studies how noncoding regulatory sequences influence gene control in childhood #leukemia, using the #PoissonDistribution to identify protein binding sites. 🔎 bit.ly/3FHPUlg

🔥 Read our Paper 📚 Zero-Inflated Patent Data Analysis Using Compound Poisson Models 🔗 mdpi.com/2076-3417/13/7/4505 👨‍🔬 by Sangsung Park and Sunghae Jun #generalizedlinearmodel #poissondistribution 🏫 Cheongju University #generalizedlinearmodel #poissondistribution

In this excerpt from the Mathematical Statistics course, the subtle yet crucial difference between probability and likelihood is clarified. Using the example of the Poisson distribution, the following is illustrated: ✅ How probability is discrete in X , representing P(X | \lambda) . ✅ How likelihood is continuous in \lambda , representing L(\lambda | X) . ✅ Why understanding this distinction is foundational for mastering advanced topics like Maximum Likelihood Estimation (MLE), machine learning, and Bayesian inference. Through clear explanations and visualizations, this video ensures students grasp these fundamental concepts, preventing future confusion in more complex applications. 🎓 Brought to you by Arabsera, as part of the Miscellanea series, to inspire rigorous and intuitive learning in mathematics and statistics. #Mathematics #Statistics #MLE #Probability #Likelihood #PoissonDistribution #Education #Arabsera #researchanddevelopment في هذا المقتطف من كورس الإحصاء الرياضي الخاصة بي، أوضح الفرق الدقيق ولكن الحاسم بين الاحتمالية ودالة الإمكانية. باستخدام مثال توزيع بواسون، أشرح: ✅ كيف تكون الاحتمالية متقطعة في X ، وتمثل P(X | \lambda) . ✅ كيف تكون دالة الإمكانية مستمرة في \lambda ، وتمثل L(\lambda | X) . ✅ لماذا يُعد فهم هذا الاختلاف أساسيًا لإتقان مواضيع متقدمة مثل تقدير الإمكانية العظمى (MLE)، تعلم الآلة، والاستدلال البايزي. من خلال الشروحات والرسوم التوضيحية الواضحة، يضمن هذا الفيديو فهم الطلاب لهذه المفاهيم الأساسية، مما يمنع الالتباس المستقبلي في التطبيقات الأكثر تعقيدًا. 🎓 مقدم من عربسيرا، كجزء من سلسلة متفرقات، لإلهام التعلم الدقيق والبديهي في الرياضيات والإحصاء.

Twitter bio of the day "Creating is fun because I can control the outcome; watching sports is fun because I cannot." -- PoissonDistribution (@PoissonianDist)

⚽️ Following our video earlier this week we continue exploring the fascinating world of Poisson distribution and football scores! We review the midweek action and look to the games ahead this weekend📊 Video 👉 youtu.be/v5kWpVuzOyg Learn how this statistical model helps predict match outcomes and understand the probability behind those thrilling scorelines, and how you can use our data to populate the FREE Poisson-by-league sheet in minutes Data 👉 football-bet-data.com/histor… #FootballStats #PoissonDistribution

4) #PoissonDistribution (D) - Models number of events occurring in fixed interval of time/space. - Eg: The number of goals a team may score 5) #ExponentialDistribution (C) - Models time between events in a Poisson process. - Eg: The time between goals scored by a team.

படிக்கிற வயசுல ஒழுங்கா படிக்கலைனா இப்படித்தான் #m3moment dejavu! #poissondistribution #DataScience @moneyness03

New LabPlot tutorial!: youtu.be/g0OQrAVwsTw In this short video you'll learn how to how to fit a distribution to data. #DistributionFitting #GaussianDistribution, #Log-normalDistribution #Probability Distribution #PoissonDistribution

Level up your data science vocabulary: Poisson Distribution deepai.org/machine-learning-… #Probability #PoissonDistribution

Maximize your sports betting success with #1x2ai and the Poisson Distribution method. Accurate predictions and more wins await! 1x2.ai #bettingtips #footballbetting #soccerbetting #PoissonDistribution #AI 💰🔥

Definition of Exponential Distribution deepai.org/machine-learning-… #PoissonDistribution #ExponentialDistribution

Level up your data science vocabulary: Poisson Distribution deepai.org/machine-learning-… #Probability #PoissonDistribution

Poisson Distribution Details with Implementation: python.plainenglish.io/poiss… #PoissonDistribution #Statistics #DataScience #Python #Scipy

From the Machine Learning & Data Science glossary: Principle of Maximum Entropy deepai.org/machine-learning-… #PoissonDistribution #PrincipleofMaximumEntropy

Level up your data science vocabulary: Poisson Distribution deepai.org/machine-learning-… #Probability #PoissonDistribution

Definition of Exponential Distribution deepai.org/machine-learning-… #PoissonDistribution #ExponentialDistribution

Level up your data science vocabulary: Poisson Distribution deepai.org/machine-learning-… #Probability #PoissonDistribution

Definition of Conjugate Priors deepai.org/machine-learning-… #PoissonDistribution #ConjugatePriors