Greenwich Mean Time implies the existence of Greenwich Variance Time, Greenwich Skewness Time, and Greenwich Kurtosis Time.
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The "mean" in "Greenwich Mean Time" actually means "mean" (like, average). I did not know this!
To calculate GMT they took the position of the sun throughout the year and averaged it out to find the average solar noon in Greenwich and based the time on that!
To calculate GMT they took the position of the sun throughout the year and averaged it out to find the average solar noon in Greenwich and based the time on that!
April 30, 2025 at 11:43 PM
Greenwich Mean Time implies the existence of Greenwich Variance Time, Greenwich Skewness Time, and Greenwich Kurtosis Time.
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why do we care about the expected value of utility (in decision theory) and not the higher moments (variance, skewness, etc)
April 27, 2026 at 10:07 PM
why do we care about the expected value of utility (in decision theory) and not the higher moments (variance, skewness, etc)
Highly relevant!
"Price Gaps and Inflation Dynamics" by Miguel Bandeira, Laura Castillo-Martínez, and Shiyuan Wang.
"...the same monetary policy shock can generate twice the inflationary response, depending on the skewness of price gaps upon impact."
www.lcastillo-martinez.com/_files/ugd/2...
"Price Gaps and Inflation Dynamics" by Miguel Bandeira, Laura Castillo-Martínez, and Shiyuan Wang.
"...the same monetary policy shock can generate twice the inflationary response, depending on the skewness of price gaps upon impact."
www.lcastillo-martinez.com/_files/ugd/2...
June 19, 2026 at 9:34 PM
Highly relevant!
"Price Gaps and Inflation Dynamics" by Miguel Bandeira, Laura Castillo-Martínez, and Shiyuan Wang.
"...the same monetary policy shock can generate twice the inflationary response, depending on the skewness of price gaps upon impact."
www.lcastillo-martinez.com/_files/ugd/2...
"Price Gaps and Inflation Dynamics" by Miguel Bandeira, Laura Castillo-Martínez, and Shiyuan Wang.
"...the same monetary policy shock can generate twice the inflationary response, depending on the skewness of price gaps upon impact."
www.lcastillo-martinez.com/_files/ugd/2...
This is a cool exercise and is very related to linear discriminant function analysis. Adding cube terms to the logistic model is related to allowing for skewness in the continuous data model. I'd love to see that formalized.
October 5, 2026 at 12:25 PM
This is a cool exercise and is very related to linear discriminant function analysis. Adding cube terms to the logistic model is related to allowing for skewness in the continuous data model. I'd love to see that formalized.
Differences between M & F are pervasive, but we often focus on #SexDifferences in the mean. @pietropollo.bsky.social @danielwanoble.bsky.social @itchyshin.bsky.social &co present #stats tools that allow comparison of #skewness, #kurtosis & correlations b'n groups @plosbiology.org 🧪 plos.io/4093nJs
February 16, 2026 at 5:30 PM
Differences between M & F are pervasive, but we often focus on #SexDifferences in the mean. @pietropollo.bsky.social @danielwanoble.bsky.social @itchyshin.bsky.social &co present #stats tools that allow comparison of #skewness, #kurtosis & correlations b'n groups @plosbiology.org 🧪 plos.io/4093nJs
Mean, Mode, Variance, Skewness, Kurtosis, Hyperskewness
what are the Six Genders? wrong answers only
May 15, 2026 at 5:11 PM
Mean, Mode, Variance, Skewness, Kurtosis, Hyperskewness
6. Diagnostics Suite
GoodnessOfFit: R², adjusted R², AIC, BIC, effective degrees of freedom
residual_diagnostics: Normality tests, skewness, kurtosis
fan_yao_variance_estimation: Nonparametric σ²(x) estimation
heteroscedasticity_weighted_fit: Adaptive reweighting
GoodnessOfFit: R², adjusted R², AIC, BIC, effective degrees of freedom
residual_diagnostics: Normality tests, skewness, kurtosis
fan_yao_variance_estimation: Nonparametric σ²(x) estimation
heteroscedasticity_weighted_fit: Adaptive reweighting
January 4, 2026 at 12:12 PM
6. Diagnostics Suite
GoodnessOfFit: R², adjusted R², AIC, BIC, effective degrees of freedom
residual_diagnostics: Normality tests, skewness, kurtosis
fan_yao_variance_estimation: Nonparametric σ²(x) estimation
heteroscedasticity_weighted_fit: Adaptive reweighting
GoodnessOfFit: R², adjusted R², AIC, BIC, effective degrees of freedom
residual_diagnostics: Normality tests, skewness, kurtosis
fan_yao_variance_estimation: Nonparametric σ²(x) estimation
heteroscedasticity_weighted_fit: Adaptive reweighting
Kevin Warsh is leaning on the Dallas Fed’s Trimmed Mean Inflation measure (b/c it’s going down) at a time when the Dallas Fed itself is warning that it maybe misleading because it is calibrated to an era of low inflation that we are no longer in
www.dallasfed.org/research/eco...
www.dallasfed.org/research/eco...
Skewness warrants caution as Trimmed Mean PCE inflation eases
Divergence of core and trimmed mean inflation readings prompt reassessment of which one is the best indicator of medium-term trend.
www.dallasfed.org
April 27, 2026 at 3:51 PM
Kevin Warsh is leaning on the Dallas Fed’s Trimmed Mean Inflation measure (b/c it’s going down) at a time when the Dallas Fed itself is warning that it maybe misleading because it is calibrated to an era of low inflation that we are no longer in
www.dallasfed.org/research/eco...
www.dallasfed.org/research/eco...
Today I'm delivering an open science lecture for our master students. These kind of lectures are one of the most enjoyable parts of my job
March 5, 2025 at 9:06 AM
Today I'm delivering an open science lecture for our master students. These kind of lectures are one of the most enjoyable parts of my job
In our new preprint lead by @pietropollo.bsky.social we show how to use meta-analysis to compare not sample means but also kurtosis & skewness, as well as within-group covariance between multiple groups. The era of meta-analyzing whole distributions is here ecoevorxiv.org/repository/v...
April 1, 2025 at 5:35 AM
In our new preprint lead by @pietropollo.bsky.social we show how to use meta-analysis to compare not sample means but also kurtosis & skewness, as well as within-group covariance between multiple groups. The era of meta-analyzing whole distributions is here ecoevorxiv.org/repository/v...
Differences between M & F are pervasive, but we often focus on #SexDifferences in the mean. @pietropollo.bsky.social @danielwanoble.bsky.social @itchyshin.bsky.social &co present #stats tools that allow comparison of #skewness, #kurtosis & correlations b'n groups @plosbiology.org 🧪 plos.io/4093nJs
February 16, 2026 at 10:18 AM
Differences between M & F are pervasive, but we often focus on #SexDifferences in the mean. @pietropollo.bsky.social @danielwanoble.bsky.social @itchyshin.bsky.social &co present #stats tools that allow comparison of #skewness, #kurtosis & correlations b'n groups @plosbiology.org 🧪 plos.io/4093nJs
Most statistical models focus on a single question: How does an explanatory variable affect the mean response?
But environmental and biological systems are often shaped not only by changes in the mean, but also by changes in variability, skewness, thresholds, and the frequency of extreme outcomes.
But environmental and biological systems are often shaped not only by changes in the mean, but also by changes in variability, skewness, thresholds, and the frequency of extreme outcomes.
July 13, 2026 at 11:16 PM
Most statistical models focus on a single question: How does an explanatory variable affect the mean response?
But environmental and biological systems are often shaped not only by changes in the mean, but also by changes in variability, skewness, thresholds, and the frequency of extreme outcomes.
But environmental and biological systems are often shaped not only by changes in the mean, but also by changes in variability, skewness, thresholds, and the frequency of extreme outcomes.
#TodayinHistory #dataviz #Onthisday #OTD 📊
📅Dec 19, 1894 Karl Pearson introduced the Pearson family of densities to model skewed distributions
The 3rd Moment had arrived in statistical thinking & visualization; skewness became a "thing"
📅Dec 19, 1894 Karl Pearson introduced the Pearson family of densities to model skewed distributions
The 3rd Moment had arrived in statistical thinking & visualization; skewness became a "thing"
December 20, 2025 at 1:56 AM
#TodayinHistory #dataviz #Onthisday #OTD 📊
📅Dec 19, 1894 Karl Pearson introduced the Pearson family of densities to model skewed distributions
The 3rd Moment had arrived in statistical thinking & visualization; skewness became a "thing"
📅Dec 19, 1894 Karl Pearson introduced the Pearson family of densities to model skewed distributions
The 3rd Moment had arrived in statistical thinking & visualization; skewness became a "thing"
The happy medium has a well-known rightward skewness.
October 15, 2025 at 8:32 AM
The happy medium has a well-known rightward skewness.
grateful to have it confirmed (via conference proceedings that include q&a transcripts) that some struggles truly are eternal
July 2, 2025 at 7:36 PM
grateful to have it confirmed (via conference proceedings that include q&a transcripts) that some struggles truly are eternal
TIL: Bowley Skewness Coefficient "…is a statistical measure that helps determine the skewness or asymmetry of a data distribution. It is particularly useful for identifying the direction and degree of skewness in a dataset."
www.geeksforgeeks.org/coefficient-...
#statistics
www.geeksforgeeks.org/coefficient-...
#statistics
Coefficient of Skewness - GeeksforGeeks
A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview...
www.geeksforgeeks.org
December 19, 2024 at 9:06 AM
TIL: Bowley Skewness Coefficient "…is a statistical measure that helps determine the skewness or asymmetry of a data distribution. It is particularly useful for identifying the direction and degree of skewness in a dataset."
www.geeksforgeeks.org/coefficient-...
#statistics
www.geeksforgeeks.org/coefficient-...
#statistics
Normally, trimmed mean is better than core at predicting headline. But (and this is key) that's only true when the skewness of price changes is negative.
When the skewness flips positive, "the signal from the trimmed mean can be misleading" because this measure drops more prices from the top.
When the skewness flips positive, "the signal from the trimmed mean can be misleading" because this measure drops more prices from the top.
April 22, 2026 at 6:16 PM
Normally, trimmed mean is better than core at predicting headline. But (and this is key) that's only true when the skewness of price changes is negative.
When the skewness flips positive, "the signal from the trimmed mean can be misleading" because this measure drops more prices from the top.
When the skewness flips positive, "the signal from the trimmed mean can be misleading" because this measure drops more prices from the top.
Differences between M & F are pervasive, but we often focus on #SexDifferences in the mean. @pietropollo.bsky.social @danielwanoble.bsky.social @itchyshin.bsky.social &co present #stats tools that allow comparison of #skewness, #kurtosis & correlations b'n groups @plosbiology.org 🧪 plos.io/4093nJs
February 16, 2026 at 2:00 PM
Differences between M & F are pervasive, but we often focus on #SexDifferences in the mean. @pietropollo.bsky.social @danielwanoble.bsky.social @itchyshin.bsky.social &co present #stats tools that allow comparison of #skewness, #kurtosis & correlations b'n groups @plosbiology.org 🧪 plos.io/4093nJs
GDP and unemployment don't measure the skewness of income distribution. You can have an economy that looks great by the first two measures, because there's 1000 people, one of which is a billionaire, and the other 999 are wage slaves.
There's also GINI coefficient and COL to factor in.
There's also GINI coefficient and COL to factor in.
May 14, 2025 at 4:48 PM
GDP and unemployment don't measure the skewness of income distribution. You can have an economy that looks great by the first two measures, because there's 1000 people, one of which is a billionaire, and the other 999 are wage slaves.
There's also GINI coefficient and COL to factor in.
There's also GINI coefficient and COL to factor in.
This week #TidyTuesday explores Brazilian Companies. I created a connected scatter plot of high and low capital stock pairs by legal nature. Axes are logarithmic to handle skewness, but labels display the original values.
#pydytuesday #matplotlib #dataviz
#pydytuesday #matplotlib #dataviz
January 28, 2026 at 6:34 PM
This week #TidyTuesday explores Brazilian Companies. I created a connected scatter plot of high and low capital stock pairs by legal nature. Axes are logarithmic to handle skewness, but labels display the original values.
#pydytuesday #matplotlib #dataviz
#pydytuesday #matplotlib #dataviz
The Berry-Esseen theorem quantifies how fast the distribution of the sum of independent random variables converges to a normal distribution, as described by the Central Limit Theorem (CLT). It provides an upper bound depending on skewness and sample size. terrytao.wordpress.com/2010/01/05/2...
April 14, 2025 at 5:00 AM
The Berry-Esseen theorem quantifies how fast the distribution of the sum of independent random variables converges to a normal distribution, as described by the Central Limit Theorem (CLT). It provides an upper bound depending on skewness and sample size. terrytao.wordpress.com/2010/01/05/2...
Non-Gaussian timing residual skewness in pulsar timing arrays. Reginald Christian Bernardo et. al. https://arxiv.org/abs/2610.02735
October 5, 2026 at 4:38 AM
Non-Gaussian timing residual skewness in pulsar timing arrays. Reginald Christian Bernardo et. al. https://arxiv.org/abs/2610.02735
According to a highly-cited article by Wendy A.W. McDonald, it's due to a long-suspected linkage between ground beef and tectonic instability. Researchers were apparently able to map bun skewness against earthquake incidence almost perfectly.
April 18, 2026 at 11:26 AM
According to a highly-cited article by Wendy A.W. McDonald, it's due to a long-suspected linkage between ground beef and tectonic instability. Researchers were apparently able to map bun skewness against earthquake incidence almost perfectly.