2,542 published verifications avg. score 5.6/10 1,244 rated true or mostly true 1,060 rated false or mostly false
“Differences between IFRS and U.S. GAAP in revenue recognition, lease accounting, and accounting for intangible assets can create consolidation challenges.”
The evidence clearly shows that IFRS and U.S. GAAP still differ in revenue recognition, lease accounting, and intangible asset accounting. Those differences can require conversion adjustments, reconciliations, and policy alignment when combining entities under one reporting framework. The claim is accurate and conservatively worded.
“International Financial Reporting Standards (IFRS) prohibit the use of the Last-In, First-Out (LIFO) inventory costing method, while U.S. Generally Accepted Accounting Principles (U.S. GAAP) permit the use of LIFO in some circumstances.”
Authoritative accounting standards support both parts of the statement. IAS 2 under IFRS expressly disallows LIFO for inventory costing, while U.S. GAAP allows LIFO under ASC 330, including within the U.S. tax conformity framework. The phrase "in some circumstances" is slightly narrow, but it does not change the practical takeaway.
“U.S. Generally Accepted Accounting Principles (U.S. GAAP) and International Financial Reporting Standards (IFRS) have converged in several areas but still differ in application and in the amount of professional judgment required.”
The evidence shows substantial convergence in major accounting areas, but not full uniformity. Authoritative comparisons from the SEC, IFRS Foundation, and major accounting firms document remaining differences in recognition, measurement, disclosure, and practice, and they generally indicate IFRS leaves more room for professional judgment. The rules-versus-principles contrast is a simplification, but the claim’s core point is well supported.
“A typical enterprise business-to-business (B2B) purchase involves an average of 13 stakeholders.”
The evidence does not support 13 as the standard average for a typical enterprise B2B purchase. The best primary source in the record, Gartner, reports lower enterprise buying-group sizes, while the 13 figure is mostly repeated in secondary summaries of Forrester and is often framed as internal stakeholders only. That makes 13 a contested benchmark, not a reliable general average.
“In B2B sales, buying groups in which all members are aware of a brand are roughly 20 times more likely to close a deal than buying groups in which only a single internal champion is aware of the brand.”
Broad awareness across a B2B buying group does appear to improve deal outcomes, but the claimed 20x lift is not well supported. That number traces back mainly to proprietary LinkedIn/Bain research and repeated secondary citations, while more independent benchmark-style evidence generally finds far smaller gains. The practical takeaway is directionally right, but the quantitative claim is substantially overstated.
“In 38% of enterprise B2B deals, IT and Security raise the biggest objections.”
The evidence supports IT and security as frequent sources of friction in enterprise software deals, but not this exact market-wide 38% claim. That number appears to come from one vendor-published 2026 survey with clear commercial incentives and no independent corroboration in the cited evidence. Other sources discuss delays, reviews, or lost deals, which are not the same as “raising the biggest objections.”
“In 66% of business-to-business (B2B) sales deals, buyers change their priorities during the sales process.”
The evidence supports the broad idea that B2B buyers often shift priorities during the sales process, but it does not firmly establish 66% of deals as a general fact. That exact number is tied mainly to one vendor survey, and the strongest other sources cite different, only partly comparable measures such as scope changes or pausing decisions. The claim is directionally credible but overstated in precision and generality.
“A Patient Health Questionnaire-9 (PHQ-9) score of 10 or higher indicates that clinical depression is present.”
A PHQ-9 score of 10 or higher is best understood as a positive depression screen, not a confirmed diagnosis. Research supports it as a common cutoff that suggests possible major depression and warrants clinical evaluation, but authoritative guidance says depression should not be diagnosed solely from that score. The claim overstates what the number alone can establish.
“Symptoms assessed by the Patient Health Questionnaire-9 (PHQ-9) can overlap with symptoms caused by other health conditions.”
The claim is well supported. Multiple high-quality clinical and research sources show that some PHQ-9 symptoms, particularly somatic ones such as fatigue, sleep problems, and appetite change, can also be caused by other medical conditions. That is why PHQ-9 results are typically interpreted alongside clinical assessment rather than in isolation.
“Low vitamin B levels, low vitamin D levels, and low iron levels can contribute to symptoms that may be mistaken for depression.”
The evidence supports the claim’s core point. Low iron, low vitamin B levels—especially B12 and folate—and low vitamin D can be associated with fatigue, cognitive slowing, low mood, and related symptoms that overlap with depression. The main caveat is that this does not prove these deficiencies directly cause depressive disorder in every case.
“Numerous medical conditions and polypharmacy (use of multiple medications) combinations, many of which are common, can contribute to Patient Health Questionnaire-9 (PHQ-9) scores of 10 or higher.”
The evidence strongly supports the claim. Multiple high-quality studies and clinical guidelines show that common medical conditions, multimorbidity, and medication burden can raise PHQ-9 scores to 10 or higher because the questionnaire captures symptoms that are not unique to major depression. A PHQ-9 score at or above 10 is therefore a screening signal, not proof of depressive disorder.
“Anthony Fauci received $1,000,000 in compensation during the period when 1,000,000 people in the United States died from COVID-19.”
The evidence does not support the claim as stated. Fauci did not earn $1 million in federal salary, and the closest documented figure was a nominal $1 million prize awarded in February 2021, before the United States reached 1 million COVID-19 deaths in May 2022; his personal receipt was reportedly about $900,000 after a scholarship set-aside. Reaching $1 million requires mixing different income categories or broader time periods.
“Larry Bird gave an interview in which he told LeBron James to stop pretending that he is the GOAT.”
The evidence does not show Larry Bird telling LeBron James to “stop pretending” he is the GOAT. Credible coverage instead records Bird praising LeBron as one of the greatest ever and telling fans to stop complaining about him. The hostile quote circulates through unverifiable, click-driven videos rather than any confirmed interview transcript or original recording.
“The ending of Christopher Nolan's film "The Odyssey" is a metaphor for Pandora's box.”
The claim is not supported by the available evidence. Reporting and interviews about the film’s ending consistently frame it around the Trojan Horse, exile, atonement, hospitality, and recurring violence, not Pandora’s box. At most, some viewers can draw a loose thematic parallel, but that is not the same as the ending being a Pandora’s-box metaphor.
“King Leopold II ruled the Congo Free State from 1885 to 1908.”
The historical record supports this timeline. Authoritative sources consistently describe Leopold II as ruler of the Congo Free State from 1885 until Belgium formally annexed it in 1908, ending his personal control. The more exact endpoint is November 15, 1908, but that does not change the claim’s substance.
“There is no reliable population baseline for the Congo in 1885, so estimates of population loss during King Leopold II’s rule in the Congo Free State are largely guesswork.”
The core point is correct: there is no trustworthy 1885 population baseline for the Congo, so estimates of population loss under Leopold II are highly uncertain. Historians and demographers often reconstruct totals indirectly because no reliable census existed. The overstatement is calling the estimates “largely guesswork,” since some are method-based reconstructions rather than pure speculation.
“The first census in the Congo was conducted in 1924 and recorded a total population of 10 million.”
The claim overstates what happened in 1924. The best demographic sources indicate that the 1924 Congo-wide population exercise was an administrative survey or estimate, not a true census, and the 10 million figure was an approximation rather than a recorded headcount. Some secondary sources use 'census' loosely for that exercise, but that does not support the claim as written.
“The commonly cited figure of "10 million" deaths associated with King Leopold II's rule in the Congo Free State refers to a population shortfall versus expected population growth from 1885, rather than a documented kill count.”
The evidence strongly supports the central point: the famous "10 million" is a retrospective demographic estimate, not a documented tally of people directly killed. Historians derive it from uncertain population baselines and later census-era counts, often including indirect deaths and lost births. The caveat is that "expected population growth from 1885" is a simplified description of a debated and imprecise methodology.
“Sources that condemned King Leopold II for abuses in the Congo Free State do not support the specific claim that King Leopold II was responsible for killing 10 million people.”
The core point is correct: the best-known contemporary sources condemning Leopold’s rule described severe atrocities but did not document a specific 10 million death toll. That number is mainly a later demographic estimate, not a figure established in the original denunciations. The claim is slightly too broad because some modern condemnatory sources do repeat the 10 million figure.
“In population comparisons about the Congo Free State, increases in disease and declines in birth rate during the comparison period are incorrectly attributed to murders ordered by King Leopold II of Belgium.”
The claim overstates a real correction. Evidence does show that Congo Free State population decline was not caused only, or even mainly, by direct killings; disease and falling fertility were major factors. But the record does not show these factors were wrongly attributed to Leopold’s rule. Scholarship generally treats them as partly produced or worsened by the wider coercive regime—forced labor, famine, displacement, violence, and social disruption—not as unrelated demographic trends misblamed on murder orders alone.