actually lol'd at this
Posts by Kevin Griffith
this is the most relatable space travel has ever felt to me
Pope Leo:
"This is our God: Jesus, King of Peace, who rejects war, whom no one can use to justify war...(Jesus) does not listen to the prayers of those who wage war, but rejects them, saying: 'Even though you make many prayers, I will not listen: your hands are full of blood'"
It costs more, but your American flag should be made in the USA!
flagladyusa.com
Awesome, thank you! I'll put you down :)
I'm looking for a discussant for this paper at #ASHEcon2026! Students and early-career folks are welcome. The session is 830-10am on June 10th.
ashecon.confex.com/ashecon/2026...
Happening tomorrow, 11AM EST or 8AM Pacific!
“Dolly Parton Children’s Hospital did not share how much Parton donated as part of the naming announcement. But Matt Schaefer, its president and CEO, said her support would ensure ‘every child who walks through our doors receives the treatment they deserve.’”
GOD BLESS DOLLY PARTON
Iran is learning why we can't have Medicare for All
Addendum: we know work requirements impede coverage and access.
That said, our results also suggest that from a harm reduction standpoint, Medicaid expansion + work requirements was clearly better* than no expansion at all.
*YMMV in Georgia
The image is a line graph from KFF titled "The Medicaid Payment Error Rate Measurement (PERM) Program Finds that Medicaid Pays Most Outlays Properly." It displays a comparison of Medicaid overall improper payment rate estimates, showing two lines: "Proper payments" in blue and "Improper payments" in green. The graph covers the years 2009 to 2025 on the x-axis, with a percentage scale from 0% to 100% on the y-axis. A note at the bottom clarifies that "improper payments" are not indicative of fraud.
Federal audits show most Medicaid payments (94% in 2025) meet requirements and that most improper payments are due to insufficient documentation.
More on Medicaid payment errors as well as upcoming changes and impacts: https://on.kff.org/3MAirwJ
🚨New research in Health Affairs Scholar!
Arkansas had some of the nation's strictest Medicaid eligibility rules, and the highest rates of uninsurance among low-income adults.
What changed after their unique 2014 Medicaid expansion? 🧵
LINK: nam12.safelinks.protection.outlook.com?url=https%3A...
Bottom line: These results don't prove Arkansas's model is superior, as the state had more room to improve.
But they suggest market-based expansions can achieve comparable gains and may be more acceptable to conservative policymakers in holdout states. FIN.
Difference-in-differences models showed Arkansas gains exceeded traditional expansion states for insurance (+4.7pp) and checkups (+7.3pp).
However, both groups improved similarly on other measures.
The findings: Arkansas started from a much lower baseline but achieved dramatic catch-up:
• Insurance coverage: +26.3pp
• Have a regular provider: +7.9pp
• Annual checkups: +19.3pp
• Reduced cost-related care avoidance: -14.3pp
Arkansas's approach was distinctive:
1. Expansion enrollees bought ACA Marketplace plans (not traditional Medicaid)
2. Temporary work requirements (2018, 1st in nation, later struck down)
3. Required enrollees to pay partial premiums (2017 onward)
🚨New research in Health Affairs Scholar!
Arkansas had some of the nation's strictest Medicaid eligibility rules, and the highest rates of uninsurance among low-income adults.
What changed after their unique 2014 Medicaid expansion? 🧵
LINK: nam12.safelinks.protection.outlook.com?url=https%3A...
The farther down this rabbit hole I go the crazier it gets.
The WSJ *editorial board* smeared Stacie and called for defunding MedPAC on the basis of a single Health Affairs Scholar paper coauthored by four people at CMS — including politicals, maybe all politicals? — none of whom has a PhD.
‘I Felt Like a Factory Worker.’ Why VA Psychologists Are Burning Out
Register for our upcoming webinar with @joannespetz.bsky.social!
healtheconomics.org/events
Fused LASSO doesn't shrink coefficients towards zero; the penalties cause coefficients with similar magnitudes to move towards one another. So you end up with fewer groupings, but not too few your predictions suffer
Two reasons
1) Random effects require much stronger assumptions that are unlikely to be met
2) We aren't trying to shrink coefficients towards zero. We are trying to empirically bin coefficients with similar effect sizes in a way that maintains predictive accuracy and removes our subjectivity
Has anyone implemented fused LASSO in Stata to group or bin coefficients for dummy variables?
pmc.ncbi.nlm.nih.gov/articles/PMC...
One week from today!
Assuming our history isn't sanitized, this period will be remembered as one of national shame.
www.yahoo.com/news/article...
Five classes I took in university (that I realize most people could use right now):
Research methodology
Statistics
Logic
Epistomolgy
Abnormal psychology