
Sign up to save your podcasts
Or


There's data, data everywhere, including in the media! Data often gets collected, analyzed, published in a study, covered by a journalist, and then distilled down to a headline. The opportunities for lost-in-translation (or lost-in-simplification? Lost-in-summarization?) misfires are many. We tried an experiment—each of the available co-hosts brought some headlines that made them raise an eyebrow, and we tested our own data literacy (data skepticism) with a real-time review. The parallels to the day-to-day work of an analyst were many! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
By Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer4.8
166166 ratings
There's data, data everywhere, including in the media! Data often gets collected, analyzed, published in a study, covered by a journalist, and then distilled down to a headline. The opportunities for lost-in-translation (or lost-in-simplification? Lost-in-summarization?) misfires are many. We tried an experiment—each of the available co-hosts brought some headlines that made them raise an eyebrow, and we tested our own data literacy (data skepticism) with a real-time review. The parallels to the day-to-day work of an analyst were many! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

1,948 Listeners

1,083 Listeners

170 Listeners

302 Listeners

144 Listeners

3,984 Listeners

226 Listeners

269 Listeners

208 Listeners

136 Listeners

95 Listeners

224 Listeners

602 Listeners

59 Listeners

96 Listeners