Remi Sebastian Kits: Aivar Voog is wrong about the basics of polling

Researcher Remi Sebastian Kits challenges four claims made by Emor survey expert Aivar Voog in his May ratings commentary. Kits argues the claims contradict fundamental principles of survey methodology. The critique was written as a response to an ERR web show special on opinion polls.

Remi Sebastian Kits, writing in response to an ERR online show special episode "Otse uudistemajast" dedicated to political ratings, argues that Emor survey expert [Aivar Voog](/politicians/aivar-voog) made four significant errors in his May ratings commentary — errors that, according to Kits, contradict the very foundations of survey research methodology.

The critique centers on statements Voog made while commenting on Emor's monthly political party ratings. Kits, presenting himself as someone familiar with research methodology, contends that each of the four claims is not merely debatable but factually inconsistent with established principles of how surveys are designed, conducted, and interpreted.

While the specific claims are technical in nature, the broader debate touches on a question of public trust: when leading research institutions publish political ratings and their experts explain what those numbers mean, audiences deserve accurate methodological framing. Misrepresenting how polling works — even unintentionally — can distort how voters and media understand shifts in party support.

This kind of methodological dispute is relatively rare in Estonian public discourse, where polling firms like Emor hold considerable authority in shaping perceptions of political momentum. Challenges to expert commentary from within the research community carry particular weight, especially in the lead-up to or aftermath of election cycles when ratings receive intense scrutiny.

Kits's response, published as a counter-piece to the ERR broadcast, represents a call for greater rigour and transparency in how polling results are communicated to the Estonian public — not just what the numbers show, but how confidently and accurately experts explain what those numbers can and cannot tell us.