⚠️⚠️⚠️ THREAD: On the 1-year anniversary of the @HouseGOP passing the #AHCA (to repeal the #ACA), how many Americans would’ve lost their healthcare coverage in YOUR Congressional District?
1/ One year ago today, the @HouseGOP passed the #AHCA, which would have repealed the #ACA and replaced it with a plan which the CBO projected would cause 24 million people to lose healthcare coverage by 2026: cbo.gov/publication/52…
2/ The CBO didn’t break their 24 million projection out by State or Congressional District, but @EmilyG_DC of @amprog worked with @Cutler_econ to do just that. americanprogress.org/issues/healthc…
3/ At the same time, I had previously put together my own analysis/projection of how many people would likely lose coverage in every Congressional District in the event of a FULL repeal of the #ACA without ANY replacement whatsoever: acasignups.net/17/03/22/updat…
4/ I therefore not only recompiled the CAP projections into color-coded, state-by-state breakouts, I also ran the numbers side by side with my own projections to see how “clean” repeal would’ve stacked up against the #AHCA. The results are telling: acasignups.net/17/03/22/how-m…
5/ I’m going to repost the individual state/district tables for both scenarios one more time, with a special bonus at the end. Please bear with me (and if you find my work of value, please consider supporting it: acasignups.net/18/03/15/help-… )
6/ OK, everyone strap in; it’s gonna be a bumpy ride. Here we go…
7/ ALABAMA: Under “clean” repeal, around 128,000 were projected to lose coverage. Under the #AHCA, around 444,000 were projected to lose coverage.
8/ ALASKA: Under “clean” repeal, around 37,000 were projected to lose coverage. Under the #AHCA, around 44,000 were projected to lose coverage.
9/ ARIZONA: Under “clean” repeal, around 516,000 were projected to lose coverage. Under the #AHCA, around 419,000 were projected to lose coverage.
10/ ARKANSAS: Under "clean" repeal, around 380,000
were projected to lose coverage. Under the #AHCA, around 197,000 were projected to lose coverage.
11/ CALIFORNIA: Under "clean" repeal, around 4.9 MILLION were projected to lose coverage. Under the #AHCA, around 2.6 MILLION were projected to lose coverage.
12/ COLORADO: Under "clean" repeal, around 499,000 were projected to lose coverage. Under the #AHCA, around 312,000 were projected to lose coverage.
13/ CONNECTICUT: Under "clean" repeal, around
282,000 were projected to lose coverage. Under the #AHCA, around 220,000 were projected to lose coverage.
14/ DELAWARE: Under "clean" repeal, around 28,000 were projected to lose coverage. Under the #AHCA, around 62,000 were projected to lose coverage.
15/ DISTRICT OF COLUMBIA: Under "clean" repeal, around 16,000 were projected to lose coverage. Under the #AHCA, around 49,000 were projected to lose coverage.
16/ FLORIDA: Under "clean" repeal, around 1.3 MILLION were projected to lose coverage. Under the #AHCA, around 1.8 MILLION were projected to lose coverage.
17/ GEORGIA: Under "clean" repeal, around 345,000 were projected to lose coverage. Under the #AHCA, around 960,000 were projected to lose coverage.
18/ HAWAII: Under "clean" repeal, around 47,000 were projected to lose coverage. Under the #AHCA, around 82,000 were projected to lose coverage.
19/ IDAHO: Under "clean" repeal, around 73,000 were projected to lose coverage. Under the #AHCA, around 135,000 were projected to lose coverage.
20/ ILLINOIS: Under "clean" repeal, around 888,000 were projected to lose coverage. Under the #AHCA, around 757,000 were projected to lose coverage.
21/ INDIANA: Under "clean" repeal, around 539,000 were projected to lose coverage. Under the #AHCA, around 365,000 were projected to lose coverage.
22/ IOWA: Under "clean" repeal, around 185,000 were projected to lose coverage. Under the #AHCA, around 171,000 were projected to lose coverage.
23/ KANSAS: Under "clean" repeal, around 65,000 were projected to lose coverage. Under the #AHCA, around 216,000 were projected to lose coverage.
24/ KENTUCKY: Under "clean" repeal, around 487,000 were projected to lose coverage. Under the #AHCA, around 284,000 were projected to lose coverage.
25/ LOUISIANA: Under "clean" repeal, around 509,000 were projected to lose coverage. Under the #AHCA, around 309,000 were projected to lose coverage.
26/ MAINE: Under "clean" repeal, around 56,000 were projected to lose coverage. Under the #AHCA, around 101,000 were projected to lose coverage.
27/ MARYLAND: Under "clean" repeal, around 369,000 were projected to lose coverage. Under the #AHCA, around 313,000 were projected to lose coverage.
28/ MASSACHUSETTS: Under "clean" repeal, around 351,000 were projected to lose coverage. Under the #AHCA, around 410,000 were projected to lose coverage.
29/ MICHIGAN: Under "clean" repeal, around 868,000 were projected to lose coverage. Under the #AHCA, around 604,000 were projected to lose coverage.
30/ MINNESOTA: Under "clean" repeal, around 335,000 were projected to lose coverage. Under the #AHCA, around 415,000 were projected to lose coverage.
31/ MISSISSIPPI: Under "clean" repeal, around 64,000 were projected to lose coverage. Under the #AHCA, around 290,000 were projected to lose coverage.
32/ MISSOURI: Under "clean" repeal, around 171,000 were projected to lose coverage. Under the #AHCA, around 479,000 were projected to lose coverage.
33/ MONTANA: Under "clean" repeal, around 96,000 were projected to lose coverage. Under the #AHCA, around 61,000 were projected to lose coverage.
34/ NEBRASKA: Under "clean" repeal, around 60,000 were projected to lose coverage. Under the #AHCA, around 149,000 were projected to lose coverage.
35/ NEVADA: Under "clean" repeal, around 383,000 were projected to lose coverage. Under the #AHCA, around 153,000 were projected to lose coverage.
36/ NEW HAMPSHIRE: Under "clean" repeal, around 78,000 were projected to lose coverage. Under the #AHCA, around 65,000 were projected to lose coverage.
37/ NEW JERSEY: Under "clean" repeal, around 728,000 were projected to lose coverage. Under the #AHCA, around 510,000 were projected to lose coverage.
38/ NEW MEXICO: Under "clean" repeal, around 290,000 were projected to lose coverage. Under the #AHCA, around 147,000 were projected to lose coverage.
39/ NEW YORK: Under "clean" repeal, around 3.1 MILLION were projected to lose coverage. Under the #AHCA, around 2.27 MILLION were projected to lose coverage.
40/ NORTH CAROLINA: Under "clean" repeal, around 402,000 were projected to lose coverage. Under the #AHCA, around 1.0 MILLION were projected to lose coverage.
41/ NORTH DAKOTA: Under "clean" repeal, around 34,000 were projected to lose coverage. Under the #AHCA, around 33,000 were projected to lose coverage.
42/ OHIO: Under "clean" repeal, around 848,000 were projected to lose coverage. Under the #AHCA, around 654,000 were projected to lose coverage.
43/ OKLAHOMA: Under "clean" repeal, around 99,000 were projected to lose coverage. Under the #AHCA, around 350,000 were projected to lose coverage.
44/ OREGON: Under "clean" repeal, around 541,000 were projected to lose coverage. Under the #AHCA, around 299,000 were projected to lose coverage.
45/ PENNSYLVANIA: Under "clean" repeal, around 979,000 were projected to lose coverage. Under the #AHCA, around 765,000 were projected to lose coverage.
46/ RHODE ISLAND: Under "clean" repeal, around 82,000 were projected to lose coverage. Under the #AHCA, around 59,000 were projected to lose coverage.
47/ SOUTH CAROLINA: Under "clean" repeal, around 165,000 were projected to lose coverage. Under the #AHCA, around 432,000 were projected to lose coverage.
48/ SOUTH DAKOTA: Under "clean" repeal, around 21,000 were projected to lose coverage. Under the #AHCA, around 63,000 were projected to lose coverage.
49/ TENNESSEE: Under "clean" repeal, around 160,000 were projected to lose coverage. Under the #AHCA, around 579,000 were projected to lose coverage.
50/ TEXAS: Under "clean" repeal, around 832,000 were projected to lose coverage. Under the #AHCA, around 2.53 MILLION were projected to lose coverage.
51/ UTAH: Under "clean" repeal, around 139,000 were projected to lose coverage. Under the #AHCA, around 212,000 were projected to lose coverage.
52/ VERMONT: Under "clean" repeal, around 38,000 were projected to lose coverage. Under the #AHCA, around 49,000 were projected to lose coverage.
53/ VIRGINIA: Under "clean" repeal, around 275,000 were projected to lose coverage. Under the #AHCA, around 565,000 were projected to lose coverage.
54/ WASHINGTON: Under "clean" repeal, around 734,000 were projected to lose coverage. Under the #AHCA, around 418,000 were projected to lose coverage.
55/ WEST VIRGINIA: Under "clean" repeal, around 193,000 were projected to lose coverage. Under the #AHCA, around 124,000 were projected to lose coverage.
56/ WISCONSIN: Under "clean" repeal, around 165,000 were projected to lose coverage. Under the #AHCA, around 412,000 were projected to lose coverage.
57/ WYOMING: Under "clean" repeal, around 17,000 were projected to lose coverage. Under the #AHCA, around 43,000 were projected to lose coverage.
58/ WHEW! Done. OK, now a couple of things to note: First, these tables are all from a year ago, so there’s a half-dozen members of Congress with different representatives today.
59/ More importantly, however, here’s all 50 states in one big table (the yellow columns are the critical ones). Notice anything?
60/ I’m sure you noticed that in some states, the “clean repeal” total was larger, which you probably expected…but in other states, MORE people would have lost coverage under the AHCA than under a “clean” repeal!! Why is that? Well, there’s a couple of reasons…
61/ For one thing, “clean” repeal assumed immediate effect while the AHCA projection was losses as of 2026. HOWEVER, the main reason is that “clean” repeal would’ve wiped out ALL ACA Medicaid expansion but left traditional Medicaid alone…while AHCA would’ve screwed with both.
62/ Since some states expanded Medicaid under the ACA while others didn’t, this means each type of repeal would’ve had different effects on Medicaid enrollment depending on the state.
63/ NOW HERE’S THE PUNCHLINE: Take a look at the last row in each yellow column. Notice anything?
64/ Yep, that’s right: Nationally, almost exactly 24M were projected to lose healthcare coverage EITHER WAY. For all of that drama, the @HouseGOP would’ve screwed almost exactly the same number of people out of healthcare coverage if they’d simply repealed the #ACA outright.
65/ Of course, there were a half-dozen OTHER terrible “repeal/replace” bills tossed around last year as well: #BCRAP, “Skinny Repeal”, #GrahamCassidy, etc…and the projections ranged from as “few” as 13 million to as many as 32 million. Every one of them sucked eggs.
66/ Here’s a refresher course in each of them (scroll to 9:30 for the overview). Note that this video doesn’t even touch on the Medicaid side: acasignups.net/18/05/04/now-e…
67/ Anyway, I pray that’s the last time I have to repost that thread. /END

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Charles Gaba isn't paying for this account.

Charles Gaba isn't paying for this account. Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @charles_gaba

Aug 27, 2018
⚠️ GRAPHICS-HEAVY THREAD: Next week, the #TexasFoldEm lawsuit brought by 20 Republican Attorneys General against the #ACA goes to court. The Trump Administration is refusing to defend against it even though it EVERY legal expert says it’s a pile of steaming garbage. 1/
2/ If the #TexasFoldEm plaintiffs succeed, federal protections for those w/#PreExistingConditions would be gone. Not just on the individual market…people w/EMPLOYER coverage would be at risk as well, especially since most people are out of a job at least once in their lives.
3/ Here’s a reminder of the idiotic “argument” the #TexasFoldEm plaintiffs are using:
1. SCOTUS ruled the #ACA mandate is only Constitutional because it’s a tax.
2. The GOP repealed the mandate tax.
3. Therefore, they get to repeal the rest of the #ACA as well.
Really. That’s it.
Read 67 tweets
Aug 21, 2018
THREAD: For those who still don’t understand how important the #ACA #TexasFoldEm case is (along #StopKavanaugh), here’s a simple timeline of the ACA’s 3-Legged Stool:
1/ Here’s how the #ACA’s 3-Legged Stool was *supposed* to work when the law was passed. The blue leg includes the patient protections. The red leg is the part everyone hated but which served an important purpose. The green leg is the financial help for people to pay for it.
2/ This is what it ACTUALLY ended up looking like: There were two main problems. The financial assistance was cut off at 400% FPL income (& wasn’t generous enough), and the mandate penalty wasn’t strong enough to be fully effective. Both were EASILY fixable.
Read 13 tweets
Aug 13, 2018
THREAD FOR EVERYONE OVER 40 YEARS OLD:

Do you remember “Harry & Louise”?

Here’s a reminder. Watch both commercials, but especially the second one. There’s a LOT going on here:

2/ First of all, notice how in 1993, “community rating” (i.e., not being allowed to charge people more based on their health status) was considered a HORRIBLE thing.
3/ Cut to 2018: 8 yrs after the Affordable Care Act was signed into law, 89% of the public thinks it’s important NOT to charge people more for their health insurance based on their health status. EIGHTY-NINE PERCENT. This is the real legacy of the #ACA.

kff.org/health-costs/p…
Read 19 tweets
Aug 10, 2018
ATTENTION MICHIGAN RESIDENTS: I’m trying to track down the Twitter handles for the following 2018 Democratic nominees; please help if you can, thanks!

HD001: Tenisha Yancey
HD003: Wendell Byrd
HD004: Isaac Robinson
HD005: Cynthia A. Johnson
HD006: Tyrone Carter
HD012: Alex Garza
HD013: Frank Liberati
HD014: Cara Clemente
HD016: Kevin Coleman
HD022: John Chirkun
HD024: Laura Winn
HD025: Nate Shannon
HD028: Lori M. Stone
HD030: John P. Spica
HD031: William J. Sowerby
HD032: Paul Manley
HD036: Robert Murphy
HD045: Kyle Cooper
HD048: Sheryl Y. Kennedy
HD049: John D. Cherry
(yes, THAT John Cherry…he doesn’t seem to be on Twitter?)
HD050: Tim Sneller
HD051: David E. Lossing
HD054: Ronnie D. Peterson
HD056: Ernie Whiteside
HD057: Amber Pedersen
HD058: Tamara C. Barnes
HD059: Dennis B. Smith
HD063: Jennifer Aniano
Read 5 tweets
Aug 10, 2018
THREAD: Yeah, I have insomnia, so here’s some wonky info re. single payer, M4A and the Michigan Gubernatorial primary. 1/
2/ Now that the #MIGov primary is over, since the most contentious debate between El-Sayed and Whitmer (besides 'dark money') was about single-payer healthcare, let's get a few things straight:
3/ 1. "Single Payer" refers to any healthcare system where the gov’t is the payment source for healthcare providers (doctors/hospitals/drug cos/etc).
Read 44 tweets
Aug 8, 2018
🚨🚨🚨
GRAPHICS-HEAVY THREAD WARNING!
How Much More Will #ACASabotage Cost Unsubsidized Enrollees in YOUR Congressional District???
1/ Last year, I posted state-by-state infographics which broke out the estimated number of Americans who would lose healthcare coverage if each of the various #ACA repeal bills form the GOP were to become law.
2/ At first I used my own estimates, but then @EmilyG_DC and her colleagues from the Center for American Progress (@amprog) stepped up and started compiling their own projections. Their methodology was different but our estimates were generally in the same range.
Read 67 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!

:(