Christine Zhang

Christine Zhang is a freelance journalist and data analyst who loves stats, stories, spreadsheets, and sandwiches. She was a 2016 OpenNews fellow at the Los Angeles Times Data Desk and has previously worked at the Brookings Institution in Washington, D.C.

Posts
6
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June 9, 2017

Everything I've learned about the USC/L.A. Times poll

A dubious perk of working at the L.A. Times in 2016 was that some friends started associating the USC/L.A. Times poll with
May 16, 2017

How America voted in 2016: datasets to help us figure it out

Buried in the Comey news last week was the release of a dataset by the U.S. Census Bureau that gives us one of the most complete looks at how people voted in the 2016 presidential election-the November 2016 Voting and Registration Supplement to the Current Population Sur
Interview with Ernie Tedeschi, DC-based Economist
May 7, 2017

Interview with Ernie Tedeschi, DC-based Economist

Our recent episode Opinion Polling for Presidential Elections featured segments from an interview with Ernie Tedeschi. This post contains the full transcript for that interview conducted by Christine Zhang. The player below also contains a link to the full recording from the Data Skeptic Bonus F
Interview with Jill Darling, Survey Director for USC's Understanding America Study
May 4, 2017

Interview with Jill Darling, Survey Director for USC's Understanding America Study

Our recent episode Opinion Polling for Presidential Elections featured segments from an interview with Jill Darling. This post contains the full transcript for that interview conducted by Christine Zhang. The player below also contains a link to the full recording from the Data Skeptic Bonus Feed.
April 28, 2017

Sports metaphors and probability: Thoughts from a non-sports enthusiast

On the eve of Election Day 2016, FiveThirtyEight's final "polls-only" forecast gave Donald Trump a 29 percent chance of winning the presidency. The NYT Upshot's model gave him a 15 percent chance. According to these two probabilities, a Hillary Clinton victory was likely (a 71 percent and 85 percent chance, respectively), though not a gi
April 22, 2017

The Economist talks election forecasting

EDITOR'S NOTE: Late in 2016, as the US election results came in and left many onlookers claiming that the polls "got it wrong", Data Skeptic promised that we'd cover the topic of polling after some time had passed. This post kicks off our week long coverage of election polling, culminating in a podcast on the subject this Fri
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