New York Times journalist, Nate Cohn from The Upshot division, discussed his work and insights.
In a revealing interview, data journalist Nate Cohn, currently a political analyst at The New York Times and The Upshot, shared his insights on the intricacies of interpreting polling data in real-time.
Cohn, who has made a name for himself by bringing numbers to life through storytelling and visualization, discussed the challenges of deciphering polling data, particularly during unpredictable times. He emphasized the importance of understanding variance in statistics and the crafting of survey questions as an art and science.
The interview offered a behind-the-scenes look at modern data journalism, including headline writing and data visualization. Cohn spoke about melding probability and statistics to present data in a clear and compelling manner.
The conversation also delved into the influence of voter demographics on campaign strategies. Cohn highlighted how data journalism played a crucial role in shaping the 2016 race, particularly in understanding polling trends and voter behavior.
The discussion also touched upon common mistakes founders make when starting up and provided guidance on crafting an Aspie Discovery Quiz and designing a Glint Feedback Survey.
The interview, which was episode #57i, also explored how data visualization makes complex stories accessible. Cohn discussed the lessons learned from 2016 and what's next for 2016 coverage at The Upshot.
The interview reminded us of the National Center for Health Statistics and the website FiveThirtyEight, another prominent player in data journalism. As Cohn continues to shape the landscape of data journalism, his insights provide a valuable resource for anyone interested in understanding the world through numbers.
