Vermin2000

6 ms·

61.
by Vermin2000 1y ago
The use of em (or en) dashes might indicate something has been written by AI, and there are reasons why this may be the case.
62.
Foreigners and Goals in English Football(blog.engora.com)
2 points by Vermin2000 1y ago|1 comments
63.
by Vermin2000 1y ago
Do more foreign players = more goals in English football? The data suggests the answer is no, but it's a complicated area and the data doesn't go back very far.
64.
The sisters “paradox” – counter-intuitive probability(blog.engora.com)
88 points by Vermin2000 1y ago|142 comments
65.
by Vermin2000 1y ago
The sisters paradox is madenning example of counter-intuitive probability. The resolution is straightforward, but it's really easy to get tied up in knots.
66.
Goals and Tenure in English Football(blog.engora.com)
3 points by Vermin2000 1y ago|2 comments
67.
by Vermin2000 1y ago
In the Premier League, there's a relationship between years in the league and goals scored, but not in the lower leagues. It's bad news for newly promoted clubs.
68.
Probability playground – a great probability app(acsu.buffalo.edu)
4 points by Vermin2000 1y ago|1 comments
69.
by Vermin2000 1y ago
This app (not mine) allows you to explore different probability distributions. I've written about it on my blog and give you an example of how to use it: https://blog.engora.com/2025/08/probability-playground
70.
by Vermin2000 1y ago
Some surprising trends in red cards/yellow cards/fouls in English football and some attempts at explanations and non-explanations.
71.
Yes, the referee might be biased. Discipline in English football(blog.engora.com)
4 points by Vermin2000 1y ago|1 comments
72.
English football league mini-app(blog.engora.com)
1 points by Vermin2000 1y ago|1 comments
73.
by Vermin2000 1y ago
You can explore English football data interactively using this mini-app. The whole app is light-weight and runs on a vanilla web server.
74.
Attendance at English football: a tale of tragedy and recovery(blog.engora.com)
4 points by Vermin2000 1y ago|1 comments
75.
by Vermin2000 1y ago
English football has a dark side. The attendance numbers show it. This blog post has a series of interactive charts that let you explore what happened and why.
76.
Police and sharks:not knowing how your data is processed can lead you astray(blog.engora.com)
3 points by Vermin2000 1y ago|1 comments
77.
by Vermin2000 1y ago
How a recent LinkedIn image of shark attacks in the US points out the need to know how your data is processed if you're to analyze it properly.
78.
by Vermin2000 1y ago
Sorry to disappoint you, but I haven't used AI for any kind of text generation for this piece or the summary. I did however use Cursor to build my Python analysis code. I find AI code completion very helpful, but AI text is just blah.
79.
Visualizing multi-dimensional data: score distributions in English football(blog.engora.com)
2 points by Vermin2000 1y ago|1 comments
80.
by Vermin2000 1y ago
An exploration of visualizing multi-dimensional data using English football data. Includes an interactive chart.
81.
Vanishing home field advantage in English football(blog.engora.com)
59 points by Vermin2000 1y ago|79 comments
82.
by Vermin2000 1y ago
Home field advantage is a real thing and is measurable. Strikingly, it's been declining steadily and consistently since WWII. The charts in the blog post are interactive and you can zoom into the data.
83.
G-O-A-L Goals in English football(blog.engora.com)
1 points by Vermin2000 1y ago|1 comments
84.
by Vermin2000 1y ago
An analysis of goals in English football and their trends over time - interactive!
85.
Win, lose, or draw: trends in English football match results(blog.engora.com)
37 points by Vermin2000 1y ago|41 comments
86.
A Briefing on Logistic Regression(blog.engora.com)
1 points by Vermin2000 1y ago|0 comments
87.
Web Du Bois – data scientist (2022)(blog.engora.com)
2 points by Vermin2000 1y ago|2 comments
88.
Unknown Pleasures: pulsars, pop, and plotting (2021)(blog.engora.com)
1 points by Vermin2000 1y ago|0 comments
89.
Tell me on a Sundai.club – something novel in Boston?(blog.engora.com)
2 points by Vermin2000 1y ago|0 comments
90.
Don't stop till you get enough – sample size in machine learning(blog.engora.com)
2 points by Vermin2000 1y ago|0 comments

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