ClaimsPeople

Marc Andreessen

Marc Andreessen co-created the Mosaic browser, cofounded Netscape, and is cofounder and general partner of the venture capital firm Andreessen Horowitz.

1,009 claims collected, 216 researched, 105 resolved. Report of 4 November 2026, method 0.1.0+c876030c.

Scores by kind of claim

Each kind of claim is scored on its own, out of 100: the share that held up, with the range it likely falls in. Fewer resolved claims give a wider range.

  • Factual claims

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

    67 61 73

    High confidence, 94 factual claims resolved. From 11 documents, 1995 to 2026; 19 documents sampled from 30 candidates found.

    Not scored: 44 unresolvable, 17 checkable only against their own records.

  • Predictions

    Statements about events outside the person's control, checked once they fell due: did they come true?

    60 44 76

    Low confidence, 11 predictions resolved. From 6 documents, 1995 to 2025; 19 documents sampled from 30 candidates found.

    Not scored: 41 unresolvable, 1 checkable only against their own records. 4 more fall due later.

    Does not yet allow for how likely each prediction was when made.

  • Promises

    Commitments to the person's or organisation's own future action, with something to deliver: was it delivered?

    Insufficient record: 0 promises resolved, 5 needed for a score.

    Not scored: 3 unresolvable.

All types combined: 66 (likely 61 to 72, high confidence), from 105 claims: 94 factual claims, 11 predictions. It mixes kinds of claim in different proportions for different people, so compare people kind by kind.

Marc Andreessen's claims

15 claims

15 claims, sorted by newest said. Choose a claim to read it in full.
VerdictKindSaidClaimTopic
Mostly false Factual 8 Oct 2025 ChatGPT is today a better doctor than your doctor, with almost a hundred percent certainty. Factual · 8 Oct 2025 AI capabilities
Mostly false Factual 26 Jan 2025 Getting Amish voters to the polls was one of the reasons Trump won the 2024 election. Factual · 26 Jan 2025 AI policy and governance
Mostly false Factual 16 Oct 2023 The Precautionary Principle was invented to prevent the large-scale deployment of civilian nuclear power. Factual · 16 Oct 2023 AI policy and governance
Mostly false Factual 16 Oct 2023 The only three sources of economic growth are population growth, natural resource utilization, and technology. Factual · 16 Oct 2023 Economics and markets
Mostly false Factual 2 Sep 2023 The precautionary principle was developed by the German Greens in the 1970s. Factual · 2 Sep 2023 Philosophy, ethics and society
Mostly false Prediction 2 Sep 2023 The EU may pass a law as soon as October 2023 that effectively bans AI inside the EU. Prediction · 2 Sep 2023 AI policy and governance
Mostly false Factual 12 Jun 2023 Research establishes that in human affairs, higher intelligence leads to better outcomes in essentially every measurable aspect of human welfare and life quality. Factual · 12 Jun 2023 Philosophy, ethics and society
Mostly false Factual 12 Jun 2023 Outside the San Francisco Bay Area, AI development is overwhelmingly in Beijing and Shanghai. Factual · 12 Jun 2023 AI compute, hardware and data
Mostly false Factual 18 Apr 2020 The US government has never built a system to distribute money quickly to citizens and businesses when needed. Factual · 18 Apr 2020 AI policy and governance
Mostly false Factual 18 Apr 2020 One-to-one tutoring can reliably increase education outcomes by two standard deviations (the Bloom two-sigma effect). Factual · 18 Apr 2020 Science and research methods
Mostly false Factual 1 Jan 2018 The sesame scene in season one of Silicon Valley is loosely based on Peter Thiel. Factual · 1 Jan 2018 Other
Mostly false Factual 1 Jan 2018 When Andreessen arrived in Silicon Valley, the overwhelming mood was that the PC was finished and the Valley was probably done too. Factual · 1 Jan 2018 Economics and markets
Mostly false Factual 28 May 2017 ARPA (now DARPA) funded a military network originally conceived for nuclear command and control. Factual · 28 May 2017 Technology
Mostly false Prediction Jun 1995 George Gilder predicts that within five to ten years the Internet will essentially be free. Prediction · Jun 1995 Economics and markets
Mostly false Factual Jun 1995 Leaving aside access into the home, general bandwidth is improving in price-performance, or dropping in price, faster than microprocessors, by a factor of about four each year. Factual · Jun 1995 Economics and markets
Back to the list

Factual Science and research methods

“We know one-to-one tutoring can reliably increase education outcomes by two standard deviations (the Bloom two-sigma effect)”

Marc Andreessen, a16z co-founder, essay author 18 April 2020 It's Time to Build (a16z)

One-to-one tutoring can reliably increase education outcomes by two standard deviations (the Bloom two-sigma effect).

Mostly false False in substance, right in a detail.

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

What would count as true or false

Judged by the state of research as of 2020-04-18. True: the research literature shows that one-to-one tutoring reliably (consistently, across studies and settings) produces gains of about two standard deviations. Mostly true: replicated gains are close to 2 SD (say 1.5 SD or more) in most rigorous studies. Mixed: Bloom's 1984 studies did report about 2 SD under specific conditions (mastery learning, short durations, particular tests), but replication is inconsistent. Mostly false: Bloom did report the 2-sigma figure, but meta-analyses and replications available by 2020 show typical tutoring effects that are substantially smaller (for example about 0.3 to 0.8 SD), so calling it 'reliable' at 2 SD overstates a narrow early finding. False: no study ever reported a 2 SD tutoring effect, or the evidence shows tutoring has no positive effect.

Evidence

  1. The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring Educational Researcher (Benjamin S. Bloom, 1984) · 1984
    “However, the most striking of the findings is that under the best learning conditions we can devise (tutoring), the average student is 2 sigma above the average control student taught under conventional group methods of instruction.”
  2. The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems. ERIC (abstract of Kurt VanLehn, Educational Psychologist 46(4)) · 2011
    “In particular, when compared to No tutoring, the effect sizes of answer-based tutoring systems, intelligent tutoring systems, and adult human tutors are believed to be d = 0.3, 1.0, and 2.0 respectively. This review did not confirm these beliefs. Instead, it found that the effect size of human tutoring was much lower: d = 0.79.”
  3. Two-Sigma Tutoring: Separating Science Fiction from Science Fact Education Next · 7 March 2024
    “More recently, a 2020 meta-analysis of randomized studies by Andre Nickow, Philip Oreopoulos, and Vincent Quan found that the average effect of tutoring was 0.37 standard deviations, or 14 percentile points”

Reasoning

Bloom's 1984 paper reports that tutored students averaged 2 sigma above students taught in conventional groups (E2), so the figure itself does exist. VanLehn's 2011 review, published well before 2020, tested the common belief that human tutoring has an effect size of 2.0 and did not confirm it. It found d = 0.79 instead (E3). E4 adds a 2020 meta-analysis of randomized studies with an average tutoring effect of 0.37 SD. Because that meta-analysis may be from later in 2020 than the claim, the verdict mainly rests on E3. The evidence shows typical tutoring effects well below 2 SD, so calling the 2-sigma effect "reliable" overstates an early, narrow finding.

Cite this claim

Marc Andreessen, “One-to-one tutoring can reliably increase education outcomes by two standard deviations (the Bloom two-sigma effect).” (said 18 April 2020). Verdict: mostly false. Reliability API, claim c_d3ffc85cced0, method 0.1.0+c876030c. https://epistacklabs.com/claims/c_d3ffc85cced0

Claims without a verdict

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