As of January 1, 2017, Y Combinator had funded over 3,200 founders and 1,470 companies.
Resolved true The record shows it happened or was so.
Factual: Statements about the present or the past, checked against the record: did they hold up?
The second judge said mostly true; 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
True: YC's official figures (e.g. its website, blog or annual letter) as of 1 January 2017 show more than 3,200 founders and about 1,470 companies funded. Since the companies figure is stated without 'over' at that precision, counts within about 1% of 1,470 qualify. Mostly true: one figure is slightly off, e.g. the founder count is just under 3,200 or the company count is within about 3%. Mixed: one figure is accurate and the other is clearly off. Mostly false: both are notably off but of the right order (within about 15%). False: the figures differ substantially from YC's records.
Set before the research began.
Evidence (1)
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E1 Y Combinator says its companies are on target for $100B total valuation Fast Company · 16 February 2017
“As of January, Y Combinator has invested in 1,470 companies led by 3,200 founders.”
Reasoning
Fast Company (E1, February 2017) reports that "as of January, Y Combinator has invested in 1,470 companies led by 3,200 founders." That matches the claim's company count exactly and its founder count of about 3,200. The report appears to pass on YC's own figures, but it is a dated independent account for the right period, and nothing in the evidence contradicts it.
Cite this claim
Sam Altman, “As of January 1, 2017, Y Combinator had funded over 3,200 founders and 1,470 companies.” (said 1 January 2017). Verdict: resolved true. Reliability API, claim c_cf610019f3f8, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_cf610019f3f8
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
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Verdicts are made automatically; how verdicts are made.