Kassio Nunes Marques, president of Brazil's Superior Electoral Court (TSE), proposed creating an accuracy seal for election polling institutes on June 14, 2026 [1].

The initiative seeks to standardize the reliability of electoral data by recognizing institutes whose estimates most closely align with the official results proclaimed by the Electoral Justice system. This move comes as the court examines the role of polling in shaping voter perception and the legal validity of publicizing intent-of-vote surveys.

Marques presented the proposal during a TSE session in Brasília [1]. He said the seal would serve to recognize and value research institutes that demonstrate higher adherence to the final official tallies [1]. By creating a formal metric for accuracy, the court intends to distinguish between highly reliable data and less precise estimations.

This proposal follows a period of legal uncertainty regarding the publication of presidential polls. On June 9, 2026, the TSE suspended a judgment concerning the validity of disclosing voting intention research for the presidency [2]. The current proposal for an accuracy seal is being debated among specialists to determine if such a reward system improves polling quality, or introduces new biases into the electoral process.

The TSE is the highest body responsible for organizing and supervising elections in Brazil. The proposed seal would effectively create a government-backed certification for private and public research firms, potentially influencing which polls are cited by candidates and the media during campaign cycles [1].

The proposal seeks to recognize and value research institutes whose estimates present greater adherence to official results.

The proposal represents an attempt by the Brazilian judiciary to institutionalize trust in electoral polling. By introducing a state-sanctioned 'accuracy seal,' the TSE may shift the competitive landscape for polling firms, prioritizing those with a proven track record of precision over those using experimental or niche methodologies. This could either stabilize public confidence in data or create a feedback loop where pollsters mirror previous results to maintain their certification.