The internet’s F1 GOAT.

A ranking built from Formula 1 fan opinion across public conversations on the internet.

Sample leader
P1

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—Fan Index score
—verified fan choices
—conversations with choices
—public platforms
—drivers receiving votes

The fan grid

The positions summarize explicit preferences identified across the selected public conversations.

Reading the dataset…

The survey vote

Direct responses from the bilingual Google Form. Each person contributes one total vote, divided equally when several drivers are named.

Reading the live survey…

What the sample shows

Four summary measures capture the main patterns in the published sample and complement the complete driver ranking.

01 / Who leads?—

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02 / How concentrated?—

The historic podium

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03 / How broad is the lead?—

Conversations with support

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04 / What do raw choices say?—

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.

01 / CORPUS

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.

02 / UNIT

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.

03 / CODING

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.

04 / SYNTHESIS

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.