Search results for tag #statistics
Three ways to look at cancer mortality.
"The same underlying data gives us three different pictures. The absolute number of deaths is up; the crude rate is up slightly; the age-standardized rate is down. None of these are inaccurate, but they answer different questions."
More information on how to look at this graph at [ https://ourworldindata.org/age-standardization ]
#OurWorldInData #Cancer #Mortality #Rates #Statistics
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A graph showing the "Change in three measure of cancer mortality, World" from 1980 to 2023. One line, "Cancer deaths" trends upwards. The second line, "Crude cancer death rate" is mostly flat with a rise near 2023. The third, "Age-standardied cancer death rate" is trending down.
That weird feeling when grading a #statistics exam: Yes, I guess, but...
Problem: three events that might happen, with probabilities:
- p(A) = .05
- p(B) = .02
- p(C) = .70
Question: what's the probability of at least one happening? (assume all events are non-disjoint and independent of each other)
Easy answer (according to what we've learned so far): .05 + .02 + .70 = .77
Student's answer...
Step 1:
- (1-.05) = .95
- (1-.02) = .98
- (1-.70) = .30
Step 2: (.95)(.98)(.30) = .279
Step 3: 1-.2793 = .721 <-- Student's answer
I stared at that for a bit figuring out what she'd done. I think the logic tracks, at least for how I phrased things. I'm not an expert by any means in probability theory but I think she did this:
- find probability of each event not happening
- find the probability of all of the events not happening (i.e., none of the events)
- find the probability of None of the events not happening
There's some kind of pedagogical lesson here. I suspect it's "Maybe the student should study the provided materials more; however, if you're quick enough to do it, it's also OK to freak out during the open-book/open-notes exam, find a website with a strange process on it, and work out how to apply it to this process."
Me sorprendió Uruguay.
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#suicidios #uruguay #sudamerica #suicide #southamerica #saludmental #mentalhealth #estadisticas #statistics
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Mapa de sud y centroamerica indicando el índice de suicidios por cada cienmil habitantes en cada país. Lidera Uruguay con 24.8, seguido de Cuba con 13.8 y Venezuela con 8.6. Argentina marca un 7.9. El índice mas bajo lo tiene Perú con 1.5.
An interesting explanation of why ‘AI’ generated prose is bland an unnatural. And that is before the other snafus. And some new phrase for my vocabulary, ‘semantic ablation’, ‘metaphoric cleansing’, ‘lexical flattening and (in this context), ‘structural collape'
https://www.theregister.com/2026/02/16/semantic_ablation_ai_writing/
Name suffixes - a mark of the patriarchy.
This is a summary table of a registered voter list for a county in New Mexico (United States). The occurrence count of various name suffixes is further broken down by gender.
I have no idea how this may compare to name suffixes in other countries, other cultures.
This is not a scientific study. There are all sorts of problems, such as selection bias.
But the difference in occurrence between men and women is huge.
#Patriarchy #Feminism #Data #Math #Culture #GenderEquality #Statistics
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A summary table that shows various name suffixes (2nd, 4th, SR, etc.) that is further broken down by gender. The difference in occurrence between men and women is huge.
On today's episode of worlds most believable statistics...
"U.S. employers added a surprisingly strong 130,000 jobs last month, but government revisions cut 2024-2025 U.S. payrolls by hundreds of thousands.
The unemployment rate fell to 4.3%, the Labor Department said Wednesday."
https://www.huffpost.com/entry/ap-us-economy-jobs-report_n_698c87c5e4b01dbafe65f9d8
Sooo… weird question. Is anybody aware of a good #statistics package for #Java (or callable from Java, so #Scala, #Kotlin, or other #JVM languages) that supports #PERMANOVA?
Or a way to run #R from Java? #Renjin or #JRI (part of #rJava)? adonis/adonis2 supposedly supports PERMANOVA.
📺 https://peer.adalta.social/w/h7XA6TDhbAFqMNnNEQzZcF
🔗 [🇩🇪🇺🇸🇫🇷](https://p4u.xyz/ID_RY9SHQF4/1)
Neue Statistiken untermauern die anhaltende Marktdominanz der Plattform
📺 https://peer.adalta.social/w/g6KLyKhBwb8QNjVXQcNcGx
🔗 [🇩🇪🇺🇸🇫🇷](https://p4u.xyz/ID__7OT0NWD/1)
Ein quantitativer Sprung in Spielen, Achievements und Spielzeit unterstreicht die anhaltende Dominanz der Plattform.
✨ The #Gstats Global #Update: Quantifying a #Gaming Ecosystem
A single user's data surge reflects the massive, continuous data generation within the #Steam platform.
🇩🇪🇺🇸🇫🇷 🔗 https://p4u.xyz/ID_BWRQBYJ2/1
Fun with Correspondence Analysis and my big new dataset. Starting to wonder if maybe the chronological sequence is BAC, not ABC like Baudou thought.
Our download stats visualization just received an update, with focus on usability and accessibility. You will certainly enjoy finally seeing the names of the apps!
https://stats.izzyondroid.org/
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Screenshot of the new statistics visualization, showing this year's downloads of Catima
Question: There are maps and statistics which show the median income of each country.
However, are there any similar maps and statistics which show the income at the bottom 20 percentile?
I think this might be a better indicator of human development of a country than the overall median income.
author unknown
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A photo of 3 black kittens in nature.
Caption: Scientists have proven that only 1 out of 4 cats is good at camouflage
I am realizing something about #LLM use and teaching: it means, if I want to make sure I'm assessing student learning and not student saying-stuff-to-chatgpt, I can't trust students as much or give them the benefit of the doubt. Tonight a student produced some graphs for her results on a stats project that had an extra variable thrown in that wasn't part of her original hypotheses. It was in her dataset, so it wasn't bizarre, and it made some sense, but there were a few things that in the past I would have said were just students being students: no error bars, odd wording of axis labels, and like that. Historically, these (for me) have been within the bounds of "students kind of missing the boat a bit."
Now I think it could be that or it could be that chatGPT or grok or some other LLM cranked these graphs out, or possibly spit out the instructions for making them in #JASP.
I can't trust the student anymore. I can't give her the benefit of the doubt. There is an ever-present alternative explanation for all faults in student work, and it's a very strong explanation.
When #teaching #Rstats / #statistics courses, I (and several colleagues of mine) made the experience that it is indeed pretty hard for a lot of students to cope with the file system on their computer. They have questions like: How do I know the "path" of a file? How do I control in which directory something is saved? WHY DO I NEED THIS?!?
I don't want to make fun of these students because I know that this could be because operating systems are increasingly obscuring file/directory systems from their users.
But if I want to teach students to use a scripting/ #programming language independently, that's a real problem!
So my questions to you are: Do you have the same impression when teaching? And if so: How do you deal with this from a teaching perspective? To be honest, I don't want to use precious course time to teach the absolute basics of computers' file systems in the first session(s).
I made the last exam for my introductory #statistics course optional. How many of 25 students (current exam averages ranging from 20% to 95%) do you think opted to take the optional exam?
#professor #teaching #HigherEd
| Zero: | 0 |
| 0 (note: this is a numeral not "zero" the word): | 0 |
| None: | 0 |
| Why did you even bother making this poll: | 0 |
The Customer-Service-Corporate-Middle-Management-ification of #higherEd makes me unhappy on a regular basis. The craven approval-seeking and weaponization of student sentiment by quasi-competent (or fully incompetent) "leaders" means my work, year by year, has been consumed more and more by dealing with mostly bullshit student complaints with heavy pressure and subtle job threats from my bosses.
But good things still happen. Two students were just in my office getting help on a #statistics project and they have done some great work. They are also genuinely interested in their results. An absolute superstar in my my statistics course is someone who, through past experiences, I misjudged early on: a women's basketball athlete. She works her ass off and it shows. She's doing extremely well, and she's the person whose assignments make me say, "Why can't the rest of the students be more like this?". I have students in Research Methods doing above-and-beyond stuff to not only check the boxes on their research projects but actually find interesting insights. In another class, a student took me up on a half-assed joke comment and is going to perform an interpretive dance version of two or three related psychological concepts.
Performing some quick statistical analyses in classic #RStats and neatly “knitting” them into a PDF using #RMarkdown, #knitr, and #MacTeX #texLaTeX.
Call me old-fashioned, but I really enjoy this workflow.
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Screenshot of two application windows of the Rstudio suite. One window is split into four sections that contain a script, a console, the environment with one data frame. The fourth section is hidden behind a second window containing a PDF with text and a boxplot figure.
@rperezrosario This is a good data point how particular special and small this #Fediverse #bubble actually is.
#Linux doesn't play any major role when you look at common #OS #statistics. However, here, it's the OS of choice for the majority of this tiny minority. 🤓
I like it here, btw.
🆕 blog! “Now witness the power of this fully operational Fediverse!”
How can you measure the popularity of a social network site? Perhaps by counting the number of active accounts, or the quality of the discourse, or even how many people reply to your witty memes.
Me? I prefer to look at how many people visit my blog…
👀 Read more: https://shkspr.mobi/blog/2025/11/now-witness-the-power-of-this-fully-operational-fediverse/
⸻
#ActivityPub #BlueSky #fediverse #mastodon #statistics
Now witness the power of this fully operational Fediverse!
https://shkspr.mobi/blog/2025/11/now-witness-the-power-of-this-fully-operational-fediverse/
How can you measure the popularity of a social network site? Perhaps by counting the number of active accounts, or the quality of the discourse, or even how many people reply to your witty memes.
Me? I prefer to look at how many people visit my blog from each site. It is an imperfect measure - and a vain one - but lets me know where I should be spending my time. No point posting on a network which is just bots talking to each other, right?
Earlier this year I built a stats-counter for my blog. Every time someone clicks from a website which links to my blog, it records that visit in a database. I get to see which blog posts are doing numbers, and where those numbers came from.
Until fairly recently, the Mastodon social network didn't send referer details. I thought that reduced the visibility of the network and lobbied for it to change. As various Mastodon servers upgrade, and admins opt-in, it is becoming more apparent just how much traffic originates from the Fediverse.
Over the last few weeks, here's how many people have clicked from BlueSky and Mastodon to one of my blog posts.
Total
Source
1,607
752
At first glance, it doesn't look good for our elephantine friends, does it? The butterfly sends over twice the traffic. Game over!
But, of course, while Mastodon.social is the biggest instance - it is far from the only one. What happens if we slide down the long tail? Here's all the Mastodon-ish instances which sent me over 10 clicks.
Total
Source
193
120
android-app://org.joinmastodon.android/
106
62
59
55
49
48
33
27
26
24
19
18
17
17
16
16
14
14
12
11
11
51
Sites sending < 10 clicks
Ah! Add them all up and you get a grand total of 1,773 visitors from Mastodon-powered sites. That's more than BlueSky.
Now, there are some obvious caveats to the data:
- I have a smaller follower count on BlueSky than I do on Mastodon.
- My posts may appeal more to one demographic than another.
- People may have strict privacy controls which suppress the true volume of visitors.
- There's no way to measure how long someone spends reading my posts.
- RSS and newsletter visitors aren't counted.
- Clicks from apps may not always show a referer.
- Some people may be on multiple services.
- Fediverse users can follow the post directly, so don't need to visit the site to read it.
And yet… no matter how you slice it, Fediverse servers are sending as much traffic as BlueSky!
I think this is brilliant. Web services should be able to scale from small to big - and each ActivityPub-powered site helps power the open Internet.
Just for completeness, this is how Reddit, Facebook, LinkedIn, Twitter, and Lemmy do over the same period:
Total
Source
1,158
585
android-app://com.reddit.frontpage/
76
76
https://old.reddit.com/r/programming/
56
https://www.reddit.com/r/programming/
52
41
38
31
27
android-app://io.syncapps.lemmy_sync/
27
22
22
17
android-app://com.linkedin.android/
16
14
11
10
10
8
6
https://www.reddit.com/r/GrapheneOS/comments/1m2l84b/considering_making_the_switch_does_google_pay/
6
If you add up all the Lemmy instances, they send about as much traffic as Facebook and LinkedIn combined. That's not a huge surprise - those platforms hate anyone clicking away to the wider web.
Twitter is basically the Dead Internet. I'm no longer on there, but I do occasionally search it to see who is sharing my posts. The popular posts I write get shared a lot - sometimes by accounts with huge followers - yet there are no comments or retweets and barely and clicks.
I don't do Instagram or Threads, and that might be reflected in their low numbers. But I'm not active on YouTube either - yet people there occasionally link back to me.
Final Thoughts
Firstly, my stats only represent my site. Your site might be very different.
Secondly, I've ignored search engine traffic, big blogs, newsletters, and other sources.
Thirdly, and most importantly, this isn't a competition! The desire for a "winner-takes-all" service is dangerous and disturbing. An ecosystem is at its most vibrant when there are multiple participants each thriving in their own niche.
I want a thousand sites, running a hundred different software stacks, some of which only serve a dozen people, or even a lone participant.
Diversity is strength.
#activitypub #bluesky #fediverse #mastodon #statistics
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Logo for ActivityPub.
Actual causes of death in the US and media coverage of same.
And then we wonder why people have such a skewed understanding of the world.
ourworldindata.org is a treasure. Thanks, hannahritchie.bsky.social and colleagues.
https://ourworldindata.org/does-the-news-reflect-what-we-die-from
#Health #Media #Death #Statistics #US
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Two largest causes of death in the US are heart disease and cancer, but the media focuses on homicide and terrorism.
Some of the pathological beliefs we attribute to techbros were already present in this view of statistics that started forming over a century ago. Our writing is just data; the real, important object is the “hypothetical infinite population” reflected in a large language model, which at base is a random variable. Stable Diffusion, the image generator, is called that because it is based on latent diffusion models, which are a way of representing complicated distribution functions--the hypothetical infinite populations--of things like digital images. Your art is just data; it’s the latent diffusion model that’s the real deal. The entities that are able to identify the distribution functions (in this case tech companies) are the ones who should be rewarded, not the data generators (you and me).
So much of the dysfunction in today’s machine learning and AI points to how problematic it is to give statistical methods a privileged place that they don’t merit. We really ought to be calling out Fisher for his trickery and seeing it as such.
#AI #GenAI #GenerativeAI #LLM #StableDiffusion #statistics #StatisticalMethods #DiffusionModels #MachineLearning #ML