Racial and ethnic minorities in the US have had large gains in health care coverage.
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.
What would count as true or false
Judge as of 2024-06-13 using US health-insurance coverage data (Census CPS/ACS, CDC NHIS, KFF, ASPE). True: Black, Hispanic, Asian and other minority groups in the US had large reductions in uninsured rates over a recent period (e.g. after the ACA, since 2010–2013), e.g. uninsured rates falling by several percentage points or by about a third or more. Mostly true: large gains for most minority groups but smaller ones for one group, or gains concentrated in a slightly different period. Mixed: gains were large for some groups and small or absent for about as many others. Mostly false: gains were modest (around 1–2 points), or only one group gained substantially. False: coverage for racial and ethnic minorities did not improve or got worse.
Set before the research began.
Evidence (4)
-
E1 Changes in Health Coverage by Race and Ethnicity since the ACA, 2010-2018 KFF (Samantha Artiga, Kendal Orgera, Anthony Damico) · March 2020
“Hispanics had the largest percentage point increase in coverage, with their uninsured rate falling from 32.6% to 19.1% between 2010 and 2016.”
-
E2 Changes in Health Coverage by Race and Ethnicity since the ACA, 2010-2018 KFF (Samantha Artiga, Kendal Orgera, Anthony Damico) · March 2020
“Beginning in 2017, and continuing in 2018, coverage gains stalled and began reversing for some groups.”
-
E3 Policy & Regulation U.S. Department of Health and Human Services, Office of the Assistant Secretary for Planning and Evaluation (ASPE)
“Since the implementation of the Affordable Care Act’s coverage provisions, the uninsured rate among nonelderly Black Americans decreased by 10 percentage points, from 20.9 percent in 2010 to 10.8 percent in 2022.”
-
E4 Policy & Regulation U.S. Department of Health and Human Services, Office of the Assistant Secretary for Planning and Evaluation (ASPE)
“The uninsured rate for nonelderly Latinos decreased from 32.7 percent to 18.0 percent, from 2010 to 2022, however, Latinos are more than twice as likely to be uninsured as non-Latino Whites.”
Reasoning
ASPE data show the uninsured rate for nonelderly Black Americans fell by about 10 percentage points, from 20.9% in 2010 to 10.8% in 2022 (E3). For nonelderly Latinos it fell from 32.7% to 18.0% over the same years (E4). KFF reports a similar Hispanic drop for 2010–2016 (E1). Both are large declines of roughly half, though KFF notes that gains stalled and partly reversed for some groups in 2017–2018 (E2). The evidence does not give figures for Asian or other minority groups, and Latinos are still more than twice as likely as non-Latino Whites to be uninsured (E4). For those reasons the claim is rated mostly true, not fully true.
Cite this claim
Steven Pinker, “Racial and ethnic minorities in the US have had large gains in health care coverage.” (said 13 June 2024). Verdict: mostly true. Reliability API, claim c_1d7f3618c038, method 0.1.0+28da144b, dataset release v1.1.2. https://epistacklabs.com/claims/c_1d7f3618c038
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Steven Pinker
-
Resolved true
“GAVI: Vaccinating 1 Billion People (and counting)”
-
Resolved true
“What is the world's best investment? - Neglected diseases (8 million lives saved, 32 million more savable soon).”
Investment in neglected diseases has saved 8 million lives, with 32 million more savable soon.
-
Resolved true
“Harvard experts (that would be me, and an epidemiologist) weigh in on the fate of the handshake”
-
Mostly true
“Public health research & evidence-based harm reduction policies save lives: tens of 1000s a year, every year.”
-
Resolved true
“In fact it's Priuses: names are regular, as in Julia & her hubby, the Childs (not Children), the Manns, Maple Leafs, others.”
Verdicts are made automatically; how verdicts are made.