Claims

2,653 claims by 33 public figures and organisations, checked against the public record. Each has its quote, source, verdict and evidence. Read them without a key; browse by person.

1,191 claims · page 10 of 12

1,191 claims, sorted by newest said. Choose a claim to read it in full.
VerdictPersonKindSaidClaimTopic
Mostly true Peter Thiel Factual 11 Jan 2017 Thiel said he had watched the first season of HBO's Silicon Valley, that the character based on him died, and that he liked the character. Peter Thiel · Factual · 11 Jan 2017 Their own work or organisation
Mostly true Scott Alexander Prediction 6 Jan 2017 No announcement of a genetically engineered human baby or credible plan for one will occur in 2017. Scott Alexander · Prediction · 6 Jan 2017 Biosecurity
Mostly true Scott Alexander Prediction 6 Jan 2017 Scott Alexander gave a 95% probability that fewer refugees would be admitted in 2017 than in 2016. Scott Alexander · Prediction · 6 Jan 2017 Other
Mostly true Sam Altman Factual 1 Jan 2017 Besides Airbnb, Dropbox and Stripe, more than 50 YC companies are each worth more than $100 million. Sam Altman · Factual · 1 Jan 2017 Their own work or organisation
Mostly true Sam Altman Promise 1 Jan 2017 Sam Altman will teach YC's online startup course in 2017. Sam Altman · Promise · 1 Jan 2017 Their own work or organisation
Mostly true Sam Altman Factual 1 Jan 2017 YC gives companies in its program $120k for 7% ownership and works intensively with them for 3 months, then less intensively afterwards. Sam Altman · Factual · 1 Jan 2017 Their own work or organisation
Mostly true Ørsted Prediction 2017 With 1.2GW capacity, Hornsea 1 will be the world's largest offshore wind farm when commissioned in 2020, and DONG Energy's biggest investment ever. Ørsted · Prediction · 2017 Their own work or organisation
Mostly true Sam Altman Factual 2017 President Trump repeatedly invoked unsubstantiated conspiracy theories, such as 3 million illegal votes, in his first week in office. Sam Altman · Factual · 2017 Other
Mostly true Jeremy Grantham Factual 2017 Grantham said the US market has been acting as if it is oscillating normally enough, but around a much higher average P/E. Jeremy Grantham · Factual · 2017 Economics and markets
Mostly true Jeremy Grantham Prediction 2017 Removing regulations here and there will lower corporate costs in the short term. Jeremy Grantham · Prediction · 2017 Economics and markets
Mostly true Nate Silver Factual Nov 2016 The main reason FiveThirtyEight's 2016 model gave Trump a better chance than other models was its assumption that polling errors are correlated. Nate Silver · Factual · Nov 2016 AI timelines and forecasting
Mostly true Nate Silver Factual Nov 2016 Clinton significantly underperformed her polls across the Midwest and Rust Belt in the 2016 election, costing her the Electoral College. Nate Silver · Factual · Nov 2016 AI timelines and forecasting
Mostly true Nate Silver Factual 11 Oct 2016 The two scientific polls after the second 2016 presidential debate showed a Clinton win, but a more marginal one than after the first debate. Nate Silver · Factual · 11 Oct 2016 Science and research methods
Mostly true Nate Silver Factual 11 Oct 2016 Silver said that all the scientific polls after the first 2016 presidential debate showed Clinton had won by a pretty emphatic margin. Nate Silver · Factual · 11 Oct 2016 Science and research methods
Mostly true Yann LeCun Factual 28 Jul 2016 The check reading system LeCun and a colleague built at Bell Labs in the early 1990s used structured prediction on top of convolutional nets, called Graph Transformer Networks. Yann LeCun · Factual · 28 Jul 2016 AI capabilities
Mostly true Warren Buffett Factual 21 Jul 2016 New constituencies in corporate governance, such as activists, have become stronger over the years. Warren Buffett · Factual · 21 Jul 2016 Philosophy, ethics and society
Mostly true Elon Musk Factual 20 Jul 2016 Providing solar power has been on Tesla's website for 10 years. Elon Musk · Factual · 20 Jul 2016 Their own work or organisation
Mostly true Elon Musk Factual 20 Jul 2016 The first Tesla master plan, written by Elon Musk 10 years before 2016, is in the final stages of completion. Elon Musk · Factual · 20 Jul 2016 Their own work or organisation
Mostly true Scott Alexander Prediction 25 Jan 2016 Scott Alexander gave an 80% probability that there would be no major intifada in Israel in 2016 (over 250 Israeli deaths, excluding a Cast Lead style war). Scott Alexander · Prediction · 25 Jan 2016 Other global risks
Mostly true Scott Alexander Factual 25 Jan 2016 Scott Alexander makes predictions at the start of every year and scores them at the end of each year. Scott Alexander · Factual · 25 Jan 2016 Their own work or organisation
Mostly true Sam Altman Factual 12 Jan 2016 The Affordable Care Act definitely helped a lot of founders start their companies. Sam Altman · Factual · 12 Jan 2016 Economics and markets
Mostly true Bill Ackman Factual Jan 2016 Even the largest index funds have only about 20 people (one per ~1,000 companies) in their governance departments. Bill Ackman · Factual · Jan 2016 Economics and markets
Mostly true Jeremy Grantham Factual Jan 2016 In his previous quarterly letter written in January, Grantham said market commentators were too pessimistic on global stock markets, especially the U.S. Jeremy Grantham · Factual · Jan 2016 Their own work or organisation
Mostly true Bill Ackman Factual Jan 2016 Pershing Square has never attempted to hedge short-term market movements but has sought inexpensive hedges against the risk of dramatic market declines. Bill Ackman · Factual · Jan 2016 Their own work or organisation
Mostly true Bill Ackman Factual Jan 2016 Vanguard, BlackRock and State Street often cumulatively own 12%, and as much as 20%, of nearly every public company. Bill Ackman · Factual · Jan 2016 Economics and markets
Mostly true Bill Ackman Factual Jan 2016 Two days after Pershing Square began building its yuan position, China did a 2% surprise devaluation that substantially increased the cost of the options it had intended to keep buying. Bill Ackman · Factual · Jan 2016 Economics and markets
Mostly true Bill Ackman Factual Jan 2016 China and Saudi Arabia have continued to spend hundreds of billions of dollars to defend their currency pegs. Bill Ackman · Factual · Jan 2016 Economics and markets
Mostly true Jeremy Grantham Factual Jan 2016 Grantham had earlier warned of trouble if China quickly slowed its demand growth for minerals. Jeremy Grantham · Factual · Jan 2016 Their own work or organisation
Mostly true Bill Ackman Factual Jan 2016 Pershing Square largely abandoned its strategy of shorting the credit of highly rated, highly leveraged companies as a hedge in 2009. Bill Ackman · Factual · Jan 2016 Economics and markets
Mostly true Jeremy Grantham Factual Jan 2016 By the time China's demand growth for metals and coal stopped, miners had spent an unprecedented $1.25 trillion on expansion. Jeremy Grantham · Factual · Jan 2016 Economics and markets
Mostly true Jeremy Grantham Factual 2016 From late 2002 into 2006 the Fed raised rates by as much as 430 basis points as the economy recovered. Jeremy Grantham · Factual · 2016 Economics and markets
Mostly true Nate Silver Factual 2016 The t-distribution in FiveThirtyEight's model mostly makes a difference for very low-probability events. Nate Silver · Factual · 2016 Science and research methods
Mostly true Nate Silver Factual 2016 In 2012, Obama beat his polling by 2 or 3 percentage points in almost every swing state. Nate Silver · Factual · 2016 Science and research methods
Mostly true Nate Silver Factual 2016 FiveThirtyEight's model is based on a combination of state and national polls. Nate Silver · Factual · 2016 Science and research methods
Mostly true Nate Silver Factual 2016 FiveThirtyEight's polls-only model gives Clinton an 85 percent chance of winning and its polls-plus model gives her 83 percent. Nate Silver · Factual · 2016 Science and research methods
Mostly true Ray Dalio Factual 17 Sep 2015 Falling spreads mean asset prices have gone up. Ray Dalio · Factual · 17 Sep 2015 Economics and markets
Mostly true Dario Amodei Prediction 17 Aug 2015 AI seems likely to enable much better propaganda and surveillance, which are major tools of autocrats. Dario Amodei · Prediction · 17 Aug 2015 AI policy and governance
Mostly true Dario Amodei Prediction 17 Aug 2015 Climate change will be felt much more strongly in the developing world, hampering its development. Dario Amodei · Prediction · 17 Aug 2015 Other global risks
Mostly true Dario Amodei Factual 17 Aug 2015 The impact of nuclear power, supersonic flight and elevators has been substantially reduced by regulations or misplaced fears despite working well technically. Dario Amodei · Factual · 17 Aug 2015 AI policy and governance
Mostly true Dario Amodei Factual 17 Aug 2015 Diseases have been eradicated and many countries have gone from poor to rich, through decisions that exhibit high returns to intelligence. Dario Amodei · Factual · 17 Aug 2015 Economics and markets
Mostly true Dario Amodei Factual 17 Aug 2015 Although drug development is overly cumbersome, once developed drugs are generally successfully deployed and used. Dario Amodei · Factual · 17 Aug 2015 Economics and markets
Mostly true Yann LeCun Factual 27 May 2015 Deep learning uses the backpropagation algorithm to indicate how a machine should change the internal parameters that compute each layer's representation from the previous layer's. Yann LeCun · Factual · 27 May 2015 AI capabilities
Mostly true Yann LeCun Factual 27 May 2015 The acknowledgements, dated 2015, state that the authors Y.L. and Y.B. are fellows of the Canadian Institute For Advanced Research (CIFAR). Yann LeCun · Factual · 27 May 2015 Field building and careers
Mostly true Nassim Taleb Factual 18 May 2015 A study of inter-arrival times between tail conflict events finds that no particular trend can be asserted. Nassim Taleb · Factual · 18 May 2015 Science and research methods
Mostly true Nassim Taleb Factual 18 May 2015 Naive observation of conflict data severely underestimates the tail risks of conflicts. Nassim Taleb · Factual · 18 May 2015 Science and research methods
Mostly true Nassim Taleb Factual 18 May 2015 The paper examines statistical pictures of violent conflicts over the last 2000 years and develops techniques for handling incomplete and unreliable historical data. Nassim Taleb · Factual · 18 May 2015 Science and research methods
Mostly true Yann LeCun Factual 18 Feb 2015 Deep Learning systems augmented with a memory module are starting to show impressive results in natural language processing. Yann LeCun · Factual · 18 Feb 2015 AI capabilities
Mostly true Yann LeCun Factual 18 Feb 2015 The brain is much better than current artificial models at unsupervised learning. Yann LeCun · Factual · 18 Feb 2015 AI capabilities
Mostly true Yann LeCun Factual 18 Feb 2015 Shallow learning systems have one or two layers, while deep learning systems typically have five to 20 layers. Yann LeCun · Factual · 18 Feb 2015 AI capabilities
Mostly true Yann LeCun Factual 18 Feb 2015 The system would probably not be more accurate, but it can potentially recognize people among hundreds of millions. Yann LeCun · Factual · 18 Feb 2015 AI capabilities
Mostly true Yann LeCun Factual 18 Feb 2015 A typical Deep Learning system is like a box with 500 million knobs, 1,000 light bulbs and 10 million training images. Yann LeCun · Factual · 18 Feb 2015 AI compute, hardware and data
Mostly true Yann LeCun Prediction 18 Feb 2015 Natural language understanding will be the next frontier for Deep Learning. Yann LeCun · Prediction · 18 Feb 2015 AI timelines and forecasting
Mostly true Yann LeCun Factual 18 Feb 2015 A trained classifier may also correctly classify cars and dogs it has never seen before. Yann LeCun · Factual · 18 Feb 2015 AI capabilities
Mostly true Sam Altman Factual Feb 2015 Many respected neocortex researchers believe there is effectively one algorithm for all intelligence. Sam Altman · Factual · Feb 2015 Science and research methods
Mostly true Sam Altman Factual Feb 2015 Human brains do not look very different from chimp brains yet produce wildly different capabilities. Sam Altman · Factual · Feb 2015 Science and research methods
Mostly true Sam Altman Factual Feb 2015 Basic search with a lot of compute power has worked better than expected in machine intelligence. Sam Altman · Factual · Feb 2015 AI capabilities
Mostly true Nate Silver Factual 2015 Donald Trump's overall favorability ratings in 2015 are about 30 percent favorable and 60 percent unfavorable, and have not improved. Nate Silver · Factual · 2015 Other
Mostly true GiveWell Factual 2015 In 2014, GiveWell tracked $27.8 million in money moved to its recommended charities. GiveWell · Factual · 2015 Their own work or organisation
Mostly true Bill Gates Factual 2015 NATO has a mobile unit that can deploy very rapidly. Bill Gates · Factual · 2015 Other global risks
Mostly true Bill Gates Factual 2015 Small loans have helped millions of people but have reached only a small fraction of the poorest, with relatively high interest rates. Bill Gates · Factual · 2015 Economics and markets
Mostly true Bill Gates Factual 2015 At the Ebola outbreak there was no group of epidemiologists ready to deploy to identify the disease and its spread. Bill Gates · Factual · 2015 Biosecurity
Mostly true Bill Gates Factual 2015 There was no medical team ready to deploy to the Ebola outbreak. Bill Gates · Factual · 2015 Biosecurity
Mostly true Bill Gates Factual 2015 Ebola does not spread through the air, and by the time people are contagious most are too sick to move about. Bill Gates · Factual · 2015 Biosecurity
Mostly true Nate Silver Factual 2015 In presidential primaries, endorsements and party elite support tend to be more reliable indicators of eventual success than early polls. Nate Silver · Factual · 2015 Other
Mostly true Bill Gates Factual 2015 The WHO is funded to monitor epidemics, but not to do the other outbreak-related tasks the speaker had described. Bill Gates · Factual · 2015 Biosecurity
Mostly true Nate Silver Factual 2015 Of Lieberman, Clinton, Giuliani and Perry, only Clinton came close to winning the nomination. Nate Silver · Factual · 2015 Other
Mostly true Nate Silver Factual 2015 Even this far out, national primary polls have some correlation with outcomes: a candidate near the top is a somewhat better bet to win the nomination than one near the bottom. Nate Silver · Factual · 2015 Science and research methods
Mostly true Bill Gates Prediction 2015 If anything kills over 10 million people in the next few decades, it will most likely be a highly infectious virus rather than a war. Bill Gates · Prediction · 2015 Biosecurity
Mostly true Nassim Taleb Factual 24 Dec 2014 Traditional portfolio construction in modern financial theory has operated under at least one of two assumptions: constraints derived from a utility function and/or a fully known multivariate distribution of asset returns. Nassim Taleb · Factual · 24 Dec 2014 Economics and markets
Mostly true Nassim Taleb Factual 24 Dec 2014 Under the paper's construction, the barbell payoff (maximal certainty/low risk on one side, maximum uncertainty on the other) emerges naturally. Nassim Taleb · Factual · 24 Dec 2014 Economics and markets
Mostly true Rodney Brooks Factual 16 Dec 2014 Labour costs were rising and the era of infinitely cheap labour was coming to an end. Rodney Brooks · Factual · 16 Dec 2014 AI, the economy and work
Mostly true Rodney Brooks Factual 16 Dec 2014 Brooks first presented his 1986 layered-architecture work in France. Rodney Brooks · Factual · 16 Dec 2014 Their own work or organisation
Mostly true Rodney Brooks Factual 16 Dec 2014 The first industrial robots were installed in 1961, when a computer filled an entire room. Rodney Brooks · Factual · 16 Dec 2014 Technology
Mostly true Scott Alexander Factual 30 Sep 2014 The Nazis' outgroup was the almost-identical German Jews rather than the culturally distant Japanese. Scott Alexander · Factual · 30 Sep 2014 Philosophy, ethics and society
Mostly true Scott Alexander Factual 30 Sep 2014 Estimates of the genetic contribution to political association range from 0.4 to 0.6. Scott Alexander · Factual · 30 Sep 2014 Science and research methods
Mostly true Scott Alexander Factual 30 Sep 2014 Heritability of attitudes toward gay rights is estimated at 0.3 to 0.5, slightly higher than the heritability of homosexuality. Scott Alexander · Factual · 30 Sep 2014 Science and research methods
Mostly true Scott Alexander Factual 30 Sep 2014 Researchers have studied belief congruence theory, that belief differences matter more than demographics in forming in-groups and outgroups, for decades. Scott Alexander · Factual · 30 Sep 2014 Philosophy, ethics and society
Mostly true Satya Nadella Factual 10 Jul 2014 Gaming is the single biggest digital life category in a mobile-first world, measured in both time and money spent. Satya Nadella · Factual · 10 Jul 2014 Economics and markets
Mostly true Satya Nadella Factual 10 Jul 2014 Microsoft was founded on the belief that technology creates opportunities for people and organizations, by putting a PC on every desk and in every home. Satya Nadella · Factual · 10 Jul 2014 Their own work or organisation
Mostly true Yann LeCun Factual 15 May 2014 The notions of partition functions, entropy, free energy and variational methods prevalent in the graphical models literature come from statistical physics. Yann LeCun · Factual · 15 May 2014 Science and research methods
Mostly true Yann LeCun Factual 15 May 2014 The first commercially viable check reading system, deployed by AT&T/NCR in 1996, used a ConvNet rather than an SVM. Yann LeCun · Factual · 15 May 2014 AI capabilities
Mostly true Yann LeCun Factual 15 May 2014 No one uses generalization bounds to do model selection; practitioners use cross-validation. Yann LeCun · Factual · 15 May 2014 Science and research methods
Mostly true Yann LeCun Factual 15 May 2014 Speech is a domain with access to ridiculously large amounts of data and a very large number of categories. Yann LeCun · Factual · 15 May 2014 AI capabilities
Mostly true Yann LeCun Factual 15 May 2014 Facebook AI Research uses Torch7 for many projects, as do Deep Mind and several groups at Google. Yann LeCun · Factual · 15 May 2014 Technology
Mostly true Bill Ackman Prediction 5 May 2014 Banks are not likely to step back in and provide meaningful mortgage investment. Bill Ackman · Prediction · 5 May 2014 Economics and markets
Mostly true Elon Musk Factual 3 Apr 2014 NASA called SpaceX to tell it that it had won a $1.5 billion contract. Elon Musk · Factual · 3 Apr 2014 Economics and markets
Mostly true Satya Nadella Promise 3 Mar 2014 Mark Penn will be a member of and advisor to the SLT and continue to report to Satya Nadella. Satya Nadella · Promise · 3 Mar 2014 Their own work or organisation
Mostly true Satya Nadella Factual 3 Mar 2014 Mark Penn's work produced Microsoft's 'Honestly' campaign and Super Bowl ad, both widely cited across the industry as examples of high impact advertising. Satya Nadella · Factual · 3 Mar 2014 Their own work or organisation
Mostly true Satya Nadella Promise 3 Mar 2014 Mark Penn will take a new role at Microsoft as EVP, Chief Strategy Officer. Satya Nadella · Promise · 3 Mar 2014 Their own work or organisation
Mostly true Satya Nadella Factual 3 Mar 2014 Chris Capossela has served in senior leadership roles across Microsoft's marketing function for many years. Satya Nadella · Factual · 3 Mar 2014 Their own work or organisation
Mostly true Satya Nadella Factual 3 Mar 2014 Over the eight months before March 2014, Tami Reller led Microsoft's Marketing Group, combining many distinct teams. Satya Nadella · Factual · 3 Mar 2014 Their own work or organisation
Mostly true Satya Nadella Promise 3 Mar 2014 Eric Rudder will serve as interim leader of Microsoft's Business Development and Evangelism while continuing in his current role. Satya Nadella · Promise · 3 Mar 2014 Their own work or organisation
Mostly true Ørsted Factual Feb 2014 With divestments exceeding DKK 15 billion and a DKK 13 billion capital injection in early 2014, DONG Energy's financial platform has been significantly strengthened. Ørsted · Factual · Feb 2014 Their own work or organisation
Mostly true Vinod Khosla Factual 14 Jan 2014 There is $51 billion remaining in DOE loan money. Vinod Khosla · Factual · 14 Jan 2014 Economics and markets
Mostly true Vinod Khosla Factual 14 Jan 2014 The U.S. Department of Energy Loan Guarantee Program has created 55,000 new cleantech jobs. Vinod Khosla · Factual · 14 Jan 2014 Economics and markets
Mostly true Vinod Khosla Factual 14 Jan 2014 A substantial portion of DOE loans is allocated to nuclear energy. Vinod Khosla · Factual · 14 Jan 2014 Economics and markets
Mostly true Vinod Khosla Factual 14 Jan 2014 Oil prospecting has a failure rate greater than 55 percent. Vinod Khosla · Factual · 14 Jan 2014 Technology
Mostly true Vinod Khosla Factual 14 Jan 2014 The U.S. DOE loan program has a 97% success rate. Vinod Khosla · Factual · 14 Jan 2014 Economics and markets
Mostly true Sam Altman Factual 2014 Sam Altman experienced plenty of rejection from investors while running his own startup. Sam Altman · Factual · 2014 Their own work or organisation
Mostly true Steven Pinker Factual 12 Mar 2013 Human intelligence is not particularly dependent on geography. Steven Pinker · Factual · 12 Mar 2013 Science and research methods
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Peter Thiel

Open its page

Factual Their own work or organisation

“I liked him. I watched the first season. My character died. I think eccentric is always better than evil.”

Peter Thiel, interviewed in NYT column 11 January 2017 Peter Thiel said, 'If you're evil, you're not bad.' Here's the context (Snopes)

Thiel said he had watched the first season of HBO's Silicon Valley, that the character based on him died, and that he liked the character.

Mostly true True in substance, wrong in a detail.

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

What would count as true or false

Judged as of 2017-01-11. Thiel's own viewing and liking can only be shown by his statement, so check three things: (a) a record (the interview transcript) shows Thiel said he watched the first season and liked the character; (b) a character in HBO's Silicon Valley is widely reported as based on Thiel (e.g. Peter Gregory); (c) that character died in the first season. TRUE: all three hold. MOSTLY TRUE: (a) and (b) hold and the character died, but the death came just outside the first season (e.g. at the opening of season 2 rather than in season 1), a timing detail the claim does not rest on. MIXED: the statement is documented, but one of the main parts fails, e.g. the show's creators or credible reporting deny the character was based on Thiel. MOSTLY FALSE: the character based on Thiel did not die but was written out in some other way, or Thiel's quoted words materially differ. FALSE: no character based on Thiel, or the character based on him never died or left the show, or the transcript shows Thiel did not make the statement.

Evidence

  1. One of the main actors on HBO's 'Silicon Valley' died after five episodes — after giving us the perfect embodiment of tech-world hubris Yahoo Finance (article by Aaron Gell) · 13 April 2015
    “Based loosely on the slightly less-awkward, creepily soft-spoken PayPal co-founder and Facebook angel Peter Thiel, Gregory was a linchpin of the first season of the series”
  2. One of the main actors on HBO's 'Silicon Valley' died after five episodes — after giving us the perfect embodiment of tech-world hubris Yahoo Finance (article by Aaron Gell) · 13 April 2015
    “The new season of HBO's "Silicon Valley" debuted yesterday. The episode featured a funeral for one of the first season's leading characters, the eccentric venture capitalist Peter Gregory, who was played by a 48-year old actor named Christopher Evan Welch.”
  3. List of Silicon Valley characters Wikipedia · 28 March 2019 Own record
    “Welch died after the fifth episode of season 1 was completed, but the character remained present off-screen for the remainder of the season. Gregory later died in the season 2 premiere.”
  4. Studio 1.0 : BLOOMBERG : January 10, 2015 12:30pm-1:01pm EST : Free Borrow & Streaming : Internet Archive Internet Archive (Bloomberg TV Studio 1.0 transcript) · 10 January 2015 Own record
    “i've seen a few of the episodes. they would dispute they are really portraying me on the show.”

Reasoning

Independent reporting describes the Silicon Valley character Peter Gregory as 'based loosely on' Peter Thiel and as central to the show's first season (E1). The evidence shows the character's funeral came in the season 2 premiere, after actor Christopher Evan Welch died during filming of season 1 (E2, E3). That puts the death just outside the first season, which the criteria treat as a timing detail fitting mostly true. The evidence has no transcript of the 2017 interview itself; the closest is a 2015 interview in which Thiel said he had 'seen a few of the episodes' (E4), so the verdict takes the quoted statement as given, as recorded in the claim.

Cite this claim

Peter Thiel, “Thiel said he had watched the first season of HBO's Silicon Valley, that the character based on him died, and that he liked the character.” (said 11 January 2017). Verdict: mostly true. Reliability API, claim c_73daedc5ef8a, method 0.1.0+3e03e2df. https://epistacklabs.com/claims/c_73daedc5ef8a

Verdicts are made automatically; how verdicts and scores are made. The same data is on Hugging Face under CC BY 4.0.