Francisco J. Beltrán Tapia

@fjbeltrantapia.bsky.social

Econ history / Historical dem. — NTNU https://fjbeltrantapia.github.io Culture and naming practices in the past https://fjbeltrantapia.github.io/allthenames/ Missing girls in historical Europe https://sites.google.com/view/missing-girls-in-history/home

I have listened to and read lots and lots of What AI will Mean for College and the one big thing that gets skips all the time is TEACHING. Information provided is not teaching. 8/

‘Polarization’ has become the master concept for diagnosing our current democratic crisis. But this is not polarization. It is the radicalization of the political right. By misdiagnosing it, we risk becoming complicit in the crisis. 🧵 Just out in Perspectives on Politics doi.org/10.1017/S153...

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Machine Learning is causing massive leaps everywhere. Also in Economic History. There is a conversation we need to have. What ought to be the new scientific standards? Together with two coauthors . Our argument: We should maybe care a bit less about accuracy 📝🧵

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Quite timely I created my first tile plots on name prevalence in a small region in North-western Spain over more than 4 centuries. 😊

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Nicola Rennie@nrennie.bsky.social · 3mo ago

This week's #TidyTuesday data compares baby names in Scotland, Northern Ireland, and England & Wales 📊 One of the interesting things about this data is that you can often spot trends related to current events 👸 Code: github.com/nrennie/tidy... #DataViz #ggplot2 #RStats #QuartoPub

Multi-panel line charts showing baby name popularity in England and Wales, Northern Ireland, and Scotland from 1997–2024. Following the births of Prince George (2013), Princess Charlotte (2015), and Prince Louis (2018), marked by vertical lines, the names George and especially Charlotte show noticeable increases in popularity across regions, while Louis shows smaller, shorter-lived increases.

Really pleased to see our global stunting data up on our world in data. We hope it helps people contextualise child stunting in a much longer historical lens. Thanks to Hannah and Tuna for visualising and explaining the data so well! The link to the original paper is here: doi.org/10.1136/bmjg...

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Our World in Data@ourworldindata.org · 4mo ago

✍️ New article: “Childhood stunting fell dramatically over the 20th century” One in four children in the world today suffers from “stunting”. That’s 150 *million* children under five. A stunted child is too short for their age due to poor nutrition and frequent infections.

Line chart of childhood stunting rates in Japan by birth cohort from 1892 to 2011 where the rate falls from about 70% in the early 1900s to below 5% by the 2000s, illustrating Japan’s dramatic decline over the 20th century. Dashed horizontal lines show 2015 reference rates for other countries spanning 10 to 60% (examples: 60% in Burundi and East Timor; 50% in Guatemala and Niger; 10% in Thailand and Costa Rica), and a data gap is noted for the World War II cohort. Data source: Eric Schneider et al. (2026) via OurWorldInData.org.

If you use digital newspaper collections this new OA paper is for you - it’s full of great insights into how to understand what’s in them and the many hidden perils of digital search (like the systemically poorer OCR for cheaper and more left-leaning newspapers - who knew?). Please share

Daniel Wilson@danielwilson.bsky.social · 10mo ago

!Stop Press! Article on bias in digitised newspaper collections: ’Whose News’, in the new journal of @comphumresearch.bsky.social by Kaspar Beelen, @jonhistorian61.bsky.social, @kmcdono.bsky.social and me. See blog for summary & 🧵 1/7 Article doi.org/10.1017/chr.... Blog is.gd/2IFc30 #dh #c19 🗃️