ClaimsDemis Hassabis

“Big milestone: 1M+ researchers have now made use of #AlphaFold in their vital work, in the 18 months since we made it freely available.”

Demis Hassabis, DeepMind CEO, on his X account 1 February 2023 Post by @demishassabis on X, 2023-02-01 (X)

Factual Science and research methods

More than one million researchers have used AlphaFold in the 18 months since DeepMind made it freely available.

Mostly true True in substance, wrong in a detail.

Factual: Statements about the present or the past, checked against the record: did they hold up?

The second judge would not resolve this claim; the verdict shown is the first judge's.

Said for an organisation they lead or work for; it counts on both records.

What would count as true or false

Judged as of 2023-02-01. True: DeepMind, EMBL-EBI or independent figures show more than 1 million researchers or users made use of AlphaFold (e.g. the AlphaFold Protein Structure Database) between its free release in July 2021 and about early 2023. Mostly true: the figure is roughly 1 million but the measure is slightly different (for example unique users or users in 190 countries rather than 'researchers'), or the period differs a little from 18 months. Mostly false: the figure exceeds 1 million only on a much looser measure (for example page views or downloads instead of people), or it is well short. False: the documented users are far below 1 million.

Set before the research began.

Evidence (4)

  1. E1 Case study: AlphaFold uses open data and AI to discover the 3D protein universe EMBL-EBI · 9 February 2023

    “In early 2022, the number of researchers accessing the database since launch was up to to nearly one million, with these users viewing 3 million protein structures.”
  2. E2 AlphaFold predicts structure of almost every catalogued protein known to science EMBL-EBI · 28 July 2022

    “In just over a year, more than 1,000 scientific papers have cited the database and over 500,000 researchers from over 190 countries have accessed the AlphaFold Database to view over two million structures.”
  3. E3 AlphaFold two years on: Validation and impact PubMed Central (NCBI) · 12 August 2024

    “The AlphaFold Database has had 1.6 million unique visitors from more than 190 countries, and the whole archive has been downloaded over 23,000 times as of January 2024”
  4. E4 AlphaFold predicts structure of almost every catalogued protein known to science EMBL-EBI · 28 July 2022 Own record

    “We’ve been amazed by the rate at which AlphaFold has already become an essential tool for hundreds of thousands of scientists in labs and universities across the world,”

Reasoning

E1, an EMBL-EBI case study published in February 2023, says the number of researchers who had accessed the AlphaFold Database since launch was "nearly one million". It dates that figure to "early 2022", but E2 gives over 500,000 researchers in July 2022, so the date in E1 does not fit with E2 and may refer to a later point. The wider trend fits a figure of about one million by early 2023: over 500,000 researchers by July 2022 (E2) and 1.6 million unique visitors by January 2024 (E3). The documented figure is roughly 1 million rather than clearly over it, and it counts researchers who accessed the AlphaFold Database rather than all use of AlphaFold, so the claim is mostly true.

Cite this claim

Demis Hassabis, “More than one million researchers have used AlphaFold in the 18 months since DeepMind made it freely available.” (said 1 February 2023). Verdict: mostly true. Reliability API, claim c_9fab2dd1131d, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_9fab2dd1131d

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

For Demis Hassabis, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More factual claims by Demis Hassabis

  1. Mostly true Factual 10 April 2026
    “what’s important about them is their 3D structure.”

    A protein's 3D structure is what determines, or partially determines, its function.

  2. Resolved true Factual 10 April 2026
    “So over 3 million scientists are now using AlphaFold.”

    Over 3 million scientists are now using AlphaFold.

  3. Resolved true Factual 10 April 2026
    “Only about 10% of drugs actually get through all the clinical stages.”

    Only about 10% of drugs get through all the clinical stages.

  4. Mostly true Factual 25 November 2025
    “The AlphaFold Server is empowering non-commercial researchers globally to harness this technology, accelerating their ability to formulate and test new hypotheses.”

    The AlphaFold Server is available to non-commercial researchers globally for predicting structures and interactions.

  5. Mostly true Factual 25 November 2025
    “Our AlphaProteo model can design novel, high-strength protein binders that target diverse molecules – including those associated with cancer and diabetes.”

    AlphaProteo can design novel, high-strength protein binders targeting diverse molecules, including ones associated with cancer and diabetes.

All of them

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