Mapping Risks to the 2026 Elections

Mapping Risks to the 2026 Elections

🎙 Harvard Ash Center 👥 13K 📅 July 21, 2026 ⏱ 50 min 👁 637 📄 expert opinion 🧭 2026-08-13
Available in: English (current) Français

Keywords

election riskheat mapvoting rightselection integritydemocracy

Summary

In this episode of Terms of Engagement, host Archon Fung and co-host Stephen Richer interview Samantha Tarazi, CEO of the Voting Rights Lab, about the organization’s new Election Risk Heat Map. The tool scores every state and county on an Election Risk Index from 1 to 100, based on three main factors: electoral competitiveness, vulnerabilities in state election laws, and the presence of election deniers or warning signs among candidates and officials. The map aims to help democracy practitioners, election officials, and lawmakers prepare for potential threats to election administration. The discussion covers the methodology behind the map, the challenges of communicating risks without discouraging voters, and the recent speech by President Trump on election integrity. Tarazi emphasizes that the map is a planning tool, not a prediction of doom, and highlights the importance of preparing the public to recognize and respond to election manipulation attempts.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides valuable insights into a new tool for assessing election risks, offering a structured framework (three factors) that is both intuitive and data-driven. The argumentation is solid, with Tarazi explaining the rationale behind each factor and acknowledging limitations. The discussion also addresses the tension between informing the public and avoiding demobilization, presenting a nuanced view. However, the conversation is largely descriptive and lacks critical examination of the tool’s methodology or potential biases.

Scientific Rigor, Source Quality, Title Accuracy

The video maintains a high level of rigor, with participants drawing on their professional experience and referencing the tool’s methodology. Sources mentioned include Sabato’s Crystal Ball and Cook’s Report for competitiveness data, and Oath for state legislative race data. The title accurately reflects the content. No comments were provided for analysis.

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Title / Content Match

The title accurately reflects the content, which focuses on mapping risks to the 2026 elections through a new heat map tool.

Quality & Reliability

7/10

The discussion features a domain expert (CEO of Voting Rights Lab) and two academics/practitioners, providing a credible overview of a new risk assessment tool. However, the tool's methodology is not independently verified, and the conversation is largely qualitative and opinion-based.

Key Moments

Cited Sources

  • Election Risk Heat Map — The tool discussed in the video, created by Voting Rights Lab.
  • Sabato's Crystal Ball — Referenced as a source for electoral competitiveness data.
  • Cook Political Report — Referenced as a source for electoral competitiveness data.
  • Oath — Partnered with Voting Rights Lab for state legislative competitive race data.

Concurring Sources

Dissenting Sources

  • Heritage Foundation's Election Fraud Database — This source may present a different perspective on election fraud prevalence, potentially conflicting with the video's emphasis on systemic risks.

Contribution & Novelties

The video presents a novel tool that aggregates multiple risk factors into a single index, providing a comprehensive overview of election risks across the U.S. This is valuable for practitioners and researchers. The discussion also highlights the importance of communication strategies in democracy defense.

Pour aller plus loin :

  • Election Risk Heat Map — The tool itself, with detailed methodology.
  • Voting Rights Lab — The organization behind the tool, with additional resources.
  • Election Integrity Research — Brennan Center’s work on election integrity, relevant to the topic.
  • Democracy Index — Provides context on measuring democratic health.

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Radar Profile

The radar profile shows moderate scores across all dimensions, with slightly higher scores in information quantity and quality, reflecting the video's informative but not deeply technical nature. The low technical score indicates the content is accessible to a general audience.

Reliability 6/10