The Upshot

The Upshot. A data-driven journalism and explanatory news project launched by The New York Times in April 2014. It focuses on applying statistical analysis, interactive graphics, and predictive modeling to elucidate complex topics in politics, economics, public policy, and social science. The project was conceived as a successor to the newspaper's influential FiveThirtyEight blog and the Economix blog, aiming to provide readers with deeper analytical context on current events.

History and founding

The project was formally announced in March 2014 by then-managing editor Dean Baquet and formally launched the following month. Its creation was part of a broader strategic shift at The New York Times toward digital-first, data-centric storytelling. Key architects of its early vision included founding editor David Leonhardt, a Pulitzer Prize-winning columnist, and graphics editor Amanda Cox, who had previously led the paper's 2012 United States presidential election forecasting model. The initiative was designed to build upon the analytical legacy of Nate Silver, whose FiveThirtyEight blog had been hosted by the *Times* before his move to ESPN. The early team also included journalists like Kevin Quealy and Margot Sanger-Katz, who helped establish its distinctive voice.

Content and style

The publication is renowned for its pioneering use of interactive data visualizations and statistical models to explain news. A hallmark is its election forecasting, including detailed models for the 2016 United States presidential election, the 2020 United States presidential election, and various United States Senate and United States House of Representatives races. Its content frequently employs original data analysis to explore issues such as health care in the United States, climate change, demographics of the United States, and income inequality. Articles often feature custom-built graphics, like "The Jigsaw" puzzle for policy trade-offs, and tools such as the "College Scorecard" interactive for comparing universities. The style is explanatory and accessible, often presenting counterintuitive findings from data analysis.

Notable contributors and alumni

The project has featured work from a roster of prominent data journalists and analysts. David Leonhardt served as its founding editor before becoming a Pulitzer-winning Op-Ed columnist. Amanda Cox, a renowned data visualization expert, was instrumental in shaping its visual identity before becoming editor of The New York Times’s Graphics department. Other key staff have included Nate Cohn, who became its chief political analyst and a central figure in its election modeling; Claire Cain Miller, who wrote on gender and family economics; and Josh Katz, who created popular interactives on American English dialects and National Basketball Association analytics. Alumni have moved to influential roles at other major outlets, including FiveThirtyEight and The Washington Post.

Impact and reception

The project has been widely credited with elevating the standards of data journalism within the mainstream media. Its election models, particularly during the contentious 2016 United States presidential election, were noted for accurately illustrating the Electoral College pathways available to candidates Donald Trump and Hillary Clinton. It has received numerous awards, including the Society for News Design’s Award of Excellence and recognition from the Global Editors Network. Its analyses on topics like the Affordable Care Act and COVID-19 pandemic in the United States have been cited by policymakers, academics, and rival publications such as The Wall Street Journal and The Economist. Critics have occasionally questioned the over-reliance on quantitative models in political reporting, but its work is generally held in high regard for its methodological transparency.

Digital presence and evolution

Originally a distinct section on The New York Times website, its content is now fully integrated into the paper's main news and analysis streams, though it retains a dedicated landing page. Its signature interactive features are optimized for mobile devices and social media platforms like Twitter and Facebook. The project has continually evolved its tools, developing more sophisticated machine learning models for election forecasting and real-time data trackers for events like the COVID-19 pandemic. It also experiments with newsletter formats, such as David Leonhardt’s morning newsletter, which draws heavily on its analytical approach. This digital integration ensures its data-driven perspective reaches the broad audience of The New York Times.

Category:The New York Times Category:Data journalism Category:American news websites Category:2014 establishments in New York City