Raphael Nishimura

@rnishimura.bsky.social

Survey methodologist and statistician at the Survey Research Center, Institute for Social Research, University of Michigan #survey | #sampling | #statistics | #RStats

Em pleno 2026 e tem gente que ainda leva AtlasIntel a sério... Se você realmente acha que não tem nada de problemático com a metodologia deles, eu tenho um princípe nigeriano aqui para te apresentar... 😅

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C'mon folks, what are we even doing here? Pollster self-proclaims themselves as the most accurate pollster in the world, according to analyses conducted by the pollster themselves using metrics defined by the very same pollster. Shameless self-promotion with a pinch of conflict of intererest 😅

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É frustante ver gente tomando isso pelo valor de face, sem o menor senso crítico, e depois sai por aí repetindo que esse foi o instituto que mais "acertou" as eleições. Por conta disso, coloco nesse fio alguns dos problemas e limitações dessa comparação: 🧵+

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If you think we had already talked enough about weighting on "recalled vote", think again! This time, we will be presenting some interesting results of the effects of this approach on measures of association under a missing not at random mechanism.

Center for Political Studies@umisrcps.bsky.social · 3mo ago

Using the 2024 American National Election Studies, Matthew DeBell et al use simulations to investigate when weighting on “recalled vote” (asking survey participants who they voted for in a previous election and weighting voters to match the election outcome) can correct biased associations.

Conference slide titled 'When Should Election Studies Weight on Recalled Vote?' with speaker Matthew DeBell from Stanford and co-authors, event details for May 13, 2026, in San Bernadino room of AAPOR

This is an interesting illustration of potential bias due to non-ignorable selection: respondents from a political poll recruited by ads on Instagram reporting that their main source of information about politics is Instagram.

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Às vezes me perguntam quais considero os melhores institutos de pesquisa no Brasil. Como metodologista e estatístico, prefiro me concentrar nas melhores práticas metodológicas. Então fica aqui uma colinha para o que considero as melhores prática metodológicas em pesquisas de opinião no Brasil: 🧵+

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One of my many pet peeves is people who denote survey sample sizes by N. In surveys statistics, because we are dealing with finite population inferences, we reserve the notation N for population size and use n for sample size.

I always thought this rule that the total error is 2x reported MoE nonsensical, because bias in surveys doesn’t typically scale with sample size. In fact, we usually see the opposite: smaller, more carefully designed prob samples tend to present smaller total error than large nonprob samples.

shira mitchell@shiraamitchell.bsky.social · 7mo ago

blog post: Total Margin of Error margin of error = 2 x (reported margin of error) and how much of this error is "bias" vs "variance" ?

Resultados da pesquisa Meio Ideia, primeira pesquisa pré-eleitoral nacional de 2026 registrada no TSE (BR-06731/2026). Pesquisa telefônica com 2 mil entrevistas realizadas entre 08/01 e 12/01. Perguntas espotânea e estimuladas com cenários de 1° turno com Tarcísio e Flávio): +

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