A Never Trumper and a Democrat on Beating MAGA for Good

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-18T10:11:52.505Z • Permanent link

Sarah Longwell's latest book, "How to Eat an Elephant," offers a roadmap for Democrats to defeat Trumpism by building a diverse coalition and focusing on incremental, incremental victories. Longwell, a Republican-turned-Democrat and founder of The Lincoln Project, has become a leading voice in the party's efforts to co-opt Trump's base. Meanwhile, Adam Jentleson's "Supermajority" argues that Democrats must prioritize grassroots organizing and strategic investments in key battleground states to create a lasting advantage.

These two books have been gaining traction among Democratic strategists, who see them as essential reading for anyone hoping to build a winning campaign in the 2024 elections. For instance, Senator Joe Manchin, a West Virginia Democrat who has been a key swing vote in the party's legislative agenda, has publicly praised Longwell's work. "I think Sarah's book is a game-changer," he told The New York Times. "It's a roadmap for Democrats to build a winning coalition and take back the White House.

In contrast, Longwell's Republican past has not been without controversy. She was a key figure in the Lincoln Project's efforts to take down Trump, but her own party has accused her of being too soft on the former president. Despite this, Longwell's message of building a broad coalition and focusing on incremental victories has resonated with many Democrats, who see her as a fresh voice in a party that has been criticized for being too divisive and partisan.

Longwell's book and Jentleson's research have significant implications for the Data Sources domain, where they will likely be widely cited by researchers, analysts, and policymakers. For instance, Longwell's emphasis on building a diverse coalition could inform the development of new data products and research initiatives focused on understanding the demographics of the US electorate. Similarly, Jentleson's argument that Democrats must prioritize grassroots organizing and strategic investments in key battleground states could shape the design of new data platforms and tools aimed at supporting election observers and researchers.

As the 2024 elections approach, these new data sources and research initiatives could have a significant impact on the Data Sources domain. For example, the Congressional Research Service has already begun to explore the use of data analytics to support election observers and researchers. Similarly, the National Association of Secretaries of State has launched a new initiative aimed at developing data platforms and tools to support election security efforts. By understanding the implications of Longwell's book and Jentleson's research, researchers and policymakers can better design and deploy these new data sources and tools to support their work.

Longwell's book and Jentleson's research are part of a larger pattern of debate and discussion within the Data Sources domain. In recent years, researchers and analysts have been exploring the use of data analytics to support election observers and researchers, with a focus on understanding the demographics of the US electorate and the impact of social media on public opinion. Meanwhile, the rise of new data platforms and tools aimed at supporting election security efforts has created new opportunities for researchers and policymakers to collaborate and share data.