The Data Journalism Podcast

Launching the Trans News Initiative

The Trans News Initiative [https://transnewsinitiative.org/] is a new project that tracks and analyzes news coverage of trans communities in the U.S. Our very own Alberto Cairo helped create it, and this week we're joined by three other guests who made it happen: Kae Petrin, Caitlyn Ralph, and Jan Diehm. Check it out at ⁠TransNewsInitiative.org⁠ [https://transnewsinitiative.org/]. Caitlyn Ralph [https://caitlynmralph.github.io/] is the studio director and partner at Polygraph [https://polygraph.cool/], The Pudding [https://pudding.cool/]'s in-house agency. Jan Diehm [https://pudding.cool/author/jan-diehm/] is a journalist-engineer at The Pudding. Kae Petrin [https://petrinkae.github.io/] is a data and graphics reporter for Civic News Company [https://dataviz.chalkbeat.org/]. The⁠ ⁠⁠⁠⁠⁠⁠⁠music this episode⁠⁠⁠⁠⁠⁠⁠⁠ was made with⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠TwoTone⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://datavized.github.io/twotone/], based on data from the Trans News Initiative. The Data Journalism Podcast is produced by Ozzy Llinas Goodman. Do you have a new data-driven story or project coming up? Tell us about it at datajournalismpodcast@gmail.com [datajournalismpodcast@gmail.com], and we might feature it on the show. Subscribe to make sure you never miss an episode!

Breaking New Ground with the Straits Times

The Straits Times is Singapore’s most widely read print newspaper, and its online presence is full of innovative data visualization projects. Our guests this week — Charlene Chua, Hannah Ong, and Stephanie Adeline — are three of the young journalists making it happen. They join us to discuss their work and how the Straits Times became such a powerhouse of data journalism. Charlene Chua [https://www.straitstimes.com/authors/charlene-chua], Hannah Ong [https://www.straitstimes.com/authors/hannah-ong], and Stephanie Adeline [https://www.straitstimes.com/authors/stephanie-adeline] are members of the digital graphics team at the Straits Times [https://www.straitstimes.com/global]. Their work has recently won awards from the Singapore Press Club, the Society for News Design, and the Society of Publishers in Asia. Work mentioned in the episode: * Climate change: How Singapore is saving its shores from rising sea levels [https://www.straitstimes.com/multimedia/graphics/2022/01/singapore-protect-sea-levels-rise/index.html] * How hawker signboards tell the story of Singapore [https://www.straitstimes.com/multimedia/graphics/2025/09/singapore-hawker-signs/index.html?shell] * Flight of the common rose: How are Singapore’s butterflies impacted by climate change? [https://www.straitstimes.com/multimedia/graphics/2024/12/singapore-butterflies-climate-change/index.html?shell] * How accessible is Singapore? We travel with a wheelchair user to find out. [https://www.straitstimes.com/multimedia/graphics/2024/10/accessibility-in-singapore/index.html] * Inside the confusing world of women’s clothing sizes [https://www.straitstimes.com/multimedia/graphics/2025/09/womens-clothing-size-guide-singapore/index.html?shell] * Why handwriting matters [https://www.straitstimes.com/multimedia/graphics/2025/06/why-handwriting-matters/index.html] ⁠⁠⁠The⁠ ⁠⁠⁠⁠⁠⁠⁠music this episode⁠⁠⁠⁠⁠⁠⁠⁠,⁠ made with⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠TwoTone⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://datavized.github.io/twotone/], represents the predicted sea level rise in Singapore by the year 2100. The Data Journalism Podcast is produced by Ozzy Llinas Goodman. Do you have a new data-driven story or project coming up? Tell us about it at datajournalismpodcast@gmail.com, and we might feature it on the show. Subscribe to make sure you never miss an episode!

Charts as Political Theater

Not since Ross Perot’s famous TV presentations using cardboard charts have we had a national figure who uses data visualization props quite like Donald Trump. This week, Philip Bump joins Scott and Simon to talk about Trump’s use of data, and how politicians more generally approach information visuals. Plus, they discuss Philip’s background, how he measures success as a solo blogger, and the future of AI in data journalism. Philip Bump was a columnist at the Washington Post [https://www.washingtonpost.com/people/philip-bump/] for more than a decade, where he wrote the newsletter “How To Read This Chart.” Since leaving the Post, he’s continued to cover data in all kinds of interesting ways on his blog, pbump.net [http://pbump.net]. His 2023 book, The Aftermath [https://www.pbump.com/], covered the future of power as the baby boom generation recedes. Work mentioned in the episode: * 9/12 rallies visualization [https://web.archive.org/web/20120306052421/http://pbump.net/912.html] * Monty Hall problem simulator [https://pbump.net/montyhall/] (more info on the Monty Hall problem here [https://web.archive.org/web/20130121183432/http://marilynvossavant.com/game-show-problem/]) * “How Trumpworld inflates the perceived danger of the left” [https://www.pbump.net/o/how-trumpworld-inflates-the-perceived-danger-of-the-left/] * Ross Perot using charts on C-SPAN [https://www.youtube.com/watch?v=jaFUSLaQUHo] * Philip’s coverage of Trump’s Hurricane Dorian chart [https://www.washingtonpost.com/politics/2019/09/05/trumps-insistence-that-his-incorrect-alabama-tweet-was-correct-tips-into-orwellian/] * Philip’s coverage of Trump’s immigration chart from May 2024 [https://www.washingtonpost.com/politics/2024/05/23/look-trumps-misleading-inaccurate-graph-us-immigration/] and October 2024 [https://www.washingtonpost.com/politics/2024/10/24/trump-biden-immigration/] * Trump and Stephen Moore presentation on BLS data [https://www.c-span.org/program/white-house-event/president-trump-gives-remarks-on-the-economy/663941] * Axios interview with Trump on Covid numbers [https://www.axios.com/2020/08/04/trump-coronavirus-under-control] ⁠⁠⁠The⁠ ⁠⁠⁠⁠⁠⁠⁠music this episode⁠⁠⁠⁠⁠⁠⁠⁠,⁠ made with⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠TwoTone⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://datavized.github.io/twotone/], represents votership in US presidential elections since 1856. The Data Journalism Podcast is produced by Ozzy Llinas Goodman. Do you have a new data-driven story or project coming up? Tell us about it at datajournalismpodcast@gmail.com, and we might feature it on the show. Subscribe to make sure you never miss an episode!

Roundtable: The shifting data landscape

Data analysis is at an inflection point, with new technologies entering the field, and increasingly more practitioners working outside of journalism. This week, Alberto, Simon and Scott reflect on how they got into data journalism, and what’s changed over the years. They discuss how each of their career paths took them into newsrooms — and then out of them again — and identify key takeaways for those looking to get into data visualization today. ⁠⁠⁠The⁠ ⁠⁠⁠⁠⁠⁠⁠music this episode⁠⁠⁠⁠⁠⁠⁠⁠,⁠ made with⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠TwoTone⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://datavized.github.io/twotone/], represents Google searches for the word "webmaster" over time. The Data Journalism Podcast is produced by Ozzy Llinas Goodman. Do you have a new data-driven story or project coming up? Tell us about it at datajournalismpodcast@gmail.com [datajournalismpodcast@gmail.com], and we might feature it on the show. Subscribe to make sure you never miss an episode!

Outlier 2025: Dispatch from the data visualization community

Outlier [https://www.outlierconf.com/] is a one-of-a-kind conference, held annually by the Data Visualization Society. This year it was hosted at the University of Miami, where our very own Alberto gave the closing keynote. In this special episode, Scott and Simon chat with Alberto about the conference, his keynote, and the state of the data visualization industry today. Check out Alberto's presentation here [https://www.dropbox.com/scl/fi/8sav88zl1e8wz4a9tkpbi/Outlier_2025_AnInformationDesignerEthos_Shorter.pdf] to learn more about his keynote. The⁠ ⁠⁠⁠⁠⁠⁠⁠music this episode⁠⁠⁠⁠⁠⁠⁠⁠,⁠ made with⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠TwoTone⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://datavized.github.io/twotone/], represents Google searches for the word “outlier” over time. The Data Journalism Podcast is produced by Ozzy Llinas Goodman. Do you have a new data-driven story or project coming up? Tell us about it at datajournalismpodcast@gmail.com [datajournalismpodcast@gmail.com], and we might feature it on the show. Subscribe to make sure you never miss an episode!