The fan grid
The positions summarize explicit preferences identified across the selected public conversations.
The survey vote
Direct responses from the bilingual Google Form. Each person contributes one total vote, divided equally when several drivers are named.
What the sample shows
Four summary measures capture the main patterns in the published sample and complement the complete driver ranking.
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The historic podium
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Conversations with support
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Direct fan choices
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Where the votes came from
The source register documents every public conversation included in the corpus, together with its platform, sample size, and number of coded choices.
From public corpus to Fan Index
The study uses purposive sampling of public conversations centered on the greatest-driver question. Its unit of analysis is one explicit preference per anonymized author, with a documented corpus and coding protocol.
Sampling frame
Select public threads and videos whose central prompt asks, ranks, or debates the greatest Formula 1 driver of all time. Record URL, platform, date, and collection limit for every source.
Anonymized respondents
Hash author identifiers at collection time, collapse repeated answers, and remove conflicting choices. Names, profile images, and account links are excluded from the research dataset.
Predefined decision rules
Apply an auditable multilingual codebook to direct endorsements, first-place rankings, and short prompt answers. Ambiguous mentions, negations, and relative comparisons are excluded.
Source-level estimates
Calculate driver shares in conversations with at least five coded choices, consolidate them into the Fan Index, and publish raw counts, source coverage, and uncertainty intervals alongside the result.