The economic impact of chronic illness

Mar 27 JDN 2459666

This topic is quite personal for me, as someone who has suffered from chronic migraines since adolescence. Some days, weeks, and months are better than others. This past month has been the worst I have felt since 2019, when we moved into an apartment that turned out to be full of mold. This time, there is no clear trigger—which also means no easy escape.

The economic impact of chronic illness is enormous. 90% of US healthcare spending is on people with chronic illnesses, including mental illnesses—and the US has the most expensive healthcare system in the world by almost any measure. Over 55% of adult Medicaid beneficiaries have two or more chronic illnesses.

The total annual cost of all chronic illnesses is hard to estimate, but it’s definitely somewhere in the trillions of dollars per year. The World Economic Forum estimated that number at $47 trillion over the next 20 years, which I actually consider conservative. I think this is counting how much we actually spend and some notion of lost productivity, as well as the (fraught) concept of the value of a statistical life—but I don’t think it’s putting a sensible value on the actual suffering. This will effectively undervalue poor people who are suffering severely but can’t get treated—because they spend little and can’t put a large dollar value on their lives. In the US, where the data is the best, the total cost of chronic illness comes to nearly $4 trillion per year—20% of GDP. If other countries are as bad or worse (and I don’t see why they would be better), then we’re looking at something like $17 trillion in real cost every single year; so over the next 20 years that’s not $47 trillion—it’s over $340 trillion.

Over half of US adults have at least one of the following, and over a quarter have two or more: arthritis, cancer, chronic obstructive pulmonary disease, coronary heart disease, current asthma, diabetes, hepatitis, hypertension, stroke, or kidney disease. (Actually the former very nearly implies the latter, unless chronic conditions somehow prevented one another. Two statistically independent events with 50% probability will jointly occur 25% of the time: Flip two coins.)

Unsurprisingly, age is positively correlated with chronic illness. Income is negatively correlated, both because chronic illnesses reduce job opportunities and because poorer people have more trouble getting good treatment. I am the exception that proves the rule, the upper-middle-class professional with both a PhD and a severe chronic illness.

There seems to be a common perception that chronic illness is largely a “First World problem”, but in fact chronic illnesses are more common—and much less poorly treated—in countries with low and moderate levels of development than they are in the most highly-developed countries. Over 75% of all deaths by non-communicable disease are in low- and middle-income countries. The proportion of deaths that is caused by non-communicable diseases is higher in high-income countries—but that’s because other diseases have been basically eradicated from high-income countries. People in rich countries actually suffer less from chronic illness than people in poor countries (on average).

It’s always a good idea to be careful of the distinction between incidence and prevalence, but with chronic illness this is particularly important, because (almost by definition) chronic illnesses last longer and so can have very high prevalence even with low incidence. Indeed, the odds of someone getting their first migraine (incidence) are low precisely because the odds of being someone who gets migraines (prevalence) is so high.

Quite high in fact: About 10% of men and 20% of women get migraines at least occasionally—though only about 8% of these (so 1% of men and 2% of women) get chronic migraines. Indeed, because ti is both common and can be quite severe, migraine is the second-most disabling condition worldwide as measured by years lived with disability (YLD), after low back pain. Neurologists are particularly likely to get migraines; the paper I linked speculates that they are better at realizing they have migraines, but I think we also need to consider the possibility of self-selection bias where people with migraines may be more likely to become neurologists. (I considered it, and it seems at least as good a reason as becoming a dentist because your name is Denise.)

If you order causes by the number of disability-adjusted life years (DALYs) they cost, chronic conditions rank quite high: while cardiovascular disease and cancer rate by far the highest, diabetes and kidney disease, mental disorders, neurological disorders, and musculoskeletal disorders all rate higher than malaria, HIV, or any other infection except respiratory infections (read: tuberculosis, influenza, and, once these charts are updated for the next few years, COVID). Note also that at the very bottom is “conflict and terrorism”—that’s all organized violence in the world—and natural disasters. Mental disorders alone cost the world 20 times as many DALYs as all conflict and terrorism combined.

Our government just voted to let thousands of people die for no reason

May 14, JDN 2457888

The US House of Representatives just voted to pass a bill that will let thousands of Americans die for no reason. At the time of writing it hasn’t yet passed the Senate, but it may yet do so. And if it does, there can be little doubt that President Trump (a phrase I still feel nauseous saying) will sign it.

Some already call it Trumpcare (or “Trump-doesn’t-care”); but officially they call it the American Health Care Act. I think we should use the formal name, because it is a name which is already beginning to take on a dark irony; yes, only in America would such a terrible health care act be considered. Every other highly-developed country has a universal healthcare system; most of them have single-payer systems (and this has been true for over two decades).
The Congressional Budget Office estimates that the AHCA will increase the number of uninsured Americans by 24 million. Of these, 14 million will be people near the poverty line who lose access to Medicaid.

In 2009, a Harvard study estimated that 45,000 Americans die each year because they don’t have health insurance. This is on the higher end; other studies have estimated more like 20,000. But based on the increases in health insurance rates under Obamacare, somewhere between 5,000 and 10,000 American lives have been saved each year since it was enacted. That reduction came from insuring about 10 million people who weren’t insured before.

Making a linear projection, we can roughly estimate the number of additional Americans who will die every year if this American Health Care Act is implemented. (24 million/10 million)(5,000 to 10,000) = 12,000 to 24,000 deaths per year. For comparison, there are about 14,000 total homicides in the United States each year (and we have an exceptionally high homicide rate for a highly-developed country).
Indeed, morally, it might make sense to count these deaths as homicides (by the principle of “depraved indifference”); Trump therefore intends to double our homicide rate.

Of course, it will not be prosecuted this way. And one can even make an ethical case for why it shouldn’t be, why it would be impossible to make policy if every lawmaker had to face the consequences of every policy choice. (Start a war? A hundred thousand deaths. Fail to start a war in response to a genocide? A different hundred thousand deaths.)

But for once, I might want to make an exception. Because these deaths will not be the result of a complex policy trade-off with merits and demerits on both sides. They will not be the result of honest mistakes or unforeseen disasters. These people will die out of pure depraved indifference.

We had a healthcare bill that was working. Indeed, Obamacare was remarkably successful. It increased insurance rates and reduced mortality rates while still managing to slow the growth in healthcare expenditure.

The only real cost was an increase in taxes on the top 5% (and particularly the top 1%) of the income distribution. But the Republican Party—and make no mistake, the vote was on almost completely partisan lines, and not a single Democrat supported it—has now made it a matter of official policy that they care more about cutting taxes on millionaires than they do about poor people dying from lack of healthcare.

Yet there may be a silver lining in all of this: Once people saw that Obamacare could work, the idea of universal healthcare in the United States began to seem like a serious political position. The Overton Window has grown. Indeed, it may even have shifted to the left for once; the responses to the American Health Care Act have been almost uniformly comprised of shock and outrage, when really what the bill does is goes back to the same awful system we had before. Going backward and letting thousands of people die for no reason should appall people—but I feared that it might not, because it would seem “normal”. We in America have grown very accustomed to letting poor people die in order to slightly increase the profits of billionaires, and I thought this time might be no different—but it was different. Once Obamacare actually passed and began to work, people really saw what was happening—that all this suffering and death wasn’t necessary, it wasn’t an inextricable part of having a functioning economy. And now that they see that, they aren’t willing to go back.

Tax plan possibilities

Mar 26, JDN 2457839

Recently President Trump (that phrase may never quite feel right) began presenting his new tax plan. To be honest, it’s not as ridiculous as I had imagined it might be. I mean, it’s still not very good, but it’s probably better than Reagan’s tax plan his last year in office, and it’s not nearly as absurd as the half-baked plan Trump originally proposed during the campaign.

But it got me thinking about the incredible untapped potential of our tax system—the things we could achieve as a nation, if we were willing to really commit to them and raise taxes accordingly.

A few years back I proposed a progressive tax system based upon logarithmic utility. I now have a catchy name for that tax proposal; I call it the logtax. It depends on two parameters—a poverty level, at which the tax rate goes to zero; and what I like to call a metarate—the fundamental rate that sets all the actual tax rates by the formula.

For the poverty level, I suggest we use the highest 2-household poverty level set by the Department of Health and Human Services: Because of Alaska’s high prices, that’s the Alaska poverty level, and the resulting figure is $20,290—let’s round to $20,000.

I would actually prefer to calculate taxes on an individual basis—I see no reason to incentivize particular household arrangements—but as current taxes are calculated on a household basis, I’m going to use that for now.

The metarate can be varied, and in the plans below I will compare different options for the metarate.

I will compare six different tax plans:

  1. Our existing tax plan, set under the Obama administration
  2. Trump’s proposed tax plan
  3. A flat rate of 30% with a basic income of $12,000, replacing welfare programs and Medicaid
  4. A flat rate of 40% with a basic income of $15,000, replacing welfare programs and Medicaid
  5. A logtax with a metarate of 20%, all spending intact
  6. A logtax with a metarate of 25% and a basic income of $12,000, replacing welfare programs and Medicaid
  7. A logtax with a metarate of 35% and a basic income of $15,000, cutting military spending by 50% and expanding Medicare to the entire population while eliminating Medicare payroll taxes

To do a proper comparison, I need estimates of the income distribution in the United States, in order to properly estimate the revenue from each type of tax. For that I used US Census data for most of the income data, supplementing with the World Top Incomes database for the very highest income brackets. The household data is broken up into brackets of $5,000 and only goes up to $250,000, so it’s a rough approximation to use the average household income for each bracket, but it’s all I’ve got.

The current brackets are 10%, 15%, 25%, 28%, 33%, 35%, and 39.6%. These are actually marginal rates, not average rates, which makes the calculation a lot more complicated. I did it properly though; for example, when you start paying the marginal rate of 28%, your average rate is really only 20.4%.

Worst of all, I used static scoring—that is, I ignored the Laffer Effect by which increasing taxes changes incentives and can change pre-tax incomes. To really do this analysis properly, one should use dynamic scoring, taking these effects into account—but proper dynamic scoring is an enormous undertaking, and this is a blog post, not my dissertation.

Still, I was able to get pretty close to the true figures. The actual federal budget shows total revenue net of payroll taxes to be $2.397 trillion, whereas I estimated $2.326 trillion; the true deficit is $608 billion and I estimated $682 billion.

Under Trump’s tax plan, almost all rates are cut. He also plans to remove some deductions, but all reports I could find on the plan were vague as to which ones, and with data this coarse it’s very hard to get any good figures on deduction amounts anyway. I also want to give him credit where it’s due: It was a lot easier to calculate the tax rates under Trump’s plan (but still harder than under mine…). But in general what I found was the following:

Almost everyone pays less income tax under Trump’s plan, by generally about 4-5% of their income. The poor benefit less or are slightly harmed; the rich benefit a bit more.

For example, a household in poverty making $12,300 would pay $1,384 currently, but $1,478 under Trump’s plan, losing $94 or 0.8% of their income. An average household making $52,000 would pay $8,768 currently but only $6,238 under Trump’s plan, saving $2,530 or about 4.8% of their income. A household making $152,000 would pay $35,580 currently but only $28,235 under Trump’s plan, saving $7,345 or again about 4.8%. A top 1% household making $781,000 would pay $265,625 currently, but only $230,158 under Trump’s plan, saving $35,467 or about 4.5%. A top 0.1% household making $2,037,000 would pay $762,656 currently, but only $644,350 under Trump’s plan, saving $118,306 or 5.8% of their income. A top 0.01% household making $9,936,000 would pay $3,890,736 currently, but only $3,251,083 under Trump’s plan, saving $639,653 or 6.4% of their income.

Because taxes are cut across the board, Trump’s plan would raise less revenue. My static scoring will exaggerate this effect, but only moderately; my estimate says we would lose over $470 billion in annual revenue, while the true figure might be $300 billion. In any case, Trump will definitely increase the deficit substantially unless he finds a way to cut an awful lot of spending elsewhere—and his pet $54 billion increase to the military isn’t helping in that regard. My estimate of the new deficit under Trump’s plan is $1.155 trillion—definitely not the sort of deficit you should be running during a peacetime economic expansion.

Let’s see what we might have done instead.

If we value simplicity and ease of calculation, it’s hard to beat a flat tax plus basic income. With a flat tax of 30% and a basic income of $12,000 per household, the poor do much better off because of the basic income, while the rich do a little better because of the flat tax, and the middle class feels about the same because the two effects largely cancel. Calculating your tax liability now couldn’t be easier; multiply your income by 3, remove a zero—that’s what you owe in taxes. And how much do you get in basic income? The same as everyone else, $12,000.

Using the same comparison households: The poor household making $12,300 would now receive $8,305—increasing their income by $9,689 or 78.8% relative to the current system. The middle-class household making $52,000 would pay $3,596, saving $5,172 or 10% of their income. The upper-middle-class household making $152,000 would now pay $33,582, saving only $1998 or 1.3% of their income. The top 1% household making $782,000 would pay $234,461, saving $31,164 or 4.0%. The top 0.1% household making $2,037,000 would pay $611,000, saving $151,656 or 7.4%. Finally, the top 0.01% household making $9,936,000 would pay $2,980,757, saving $910,000 or 9.1%.

Thus, like Trump’s plan, the tax cut almost across the board results in less revenue. However, because of the basic income, we can now justify cutting a lot of spending on social welfare programs. I estimated we could reasonably save about $630 billion by cutting Medicaid and other social welfare programs, while still not making poor people worse off because of the basic income. The resulting estimated deficit comes in at $1.085 trillion, which is still too large—but less than what Trump is proposing.

If I raise the flat rate to 40%—just as easy to calculate—I can bring that deficit down, even if I raise the basic income to $15,000 to compensate. The poverty household now receives $10,073, and the other representative households pay $5,974; $45,776; $297,615; $799,666; and $3,959,343 respectively. This means that the poor are again much better off, the middle class are about the same, and the rich are now substantially worse off. But what’s our deficit now? $180 billion—that’s about 1% of GDP, the sort of thing you can maintain indefinitely with a strong currency.

Can we do better than this? I think we can, with my logtax.

I confess that the logtax is not quite as easy to calculate as the flat tax. It does require taking exponents, and you can’t do it in your head. But it’s actually still easier than the current system, because there are no brackets to keep track of, no discontinuous shifts in the marginal rate. It is continuously progressive for all incomes, and the same formula can be used for all incomes from zero to infinity.
The simplest plan just replaces the income tax with a logtax of 20%. The poor household now receives $1,254, just from the automatic calculation of the tax—no basic income was added. The middle-class household pays $9,041, slightly more than what they are currently paying. Above that, people start paying more for sure: $50,655; $406,076; $1,228,795; and $7,065,274 respectively.

This system is obviously more progressive, but does it raise sufficient revenue? Why, as a matter of fact it removes the deficit entirely. The model estimates that the budget would now be at surplus of $110 billion. This is probably too optimistic; under dynamic scoring the distortions are probably going to cut the revenue a little. But it would almost certainly reduce the deficit, and very likely eliminate it altogether—without any changes in spending.

The next logtax plan adds a basic income of $12,000. To cover this, I raised the metarate to 25%. Now the poor household is receiving $11,413, the middle-class household is paying a mere $1,115, and the other households are paying $50,144; $458,140; $1,384,475; and $7,819,932 respectively. That top 0.01% household isn’t going to be happy, as they are now paying 78% of their income where in our current system they would pay only 39%. But their after-tax income is still over $2 million.

How does the budget look now? As with the flat tax plan, we can save about $630 billion by cutting redundant social welfare programs. So we are once again looking at a surplus, this time of about $63 billion. Again, the dynamic scoring might show some deficit, but definitely not a large one.

Finally, what if I raise the basic income to $15,000 and raise the metarate to 35%? The poor household now receives $14,186, while the median household pays $2,383. The richer households of course foot the bill, paying $64,180; $551,031; $1,618,703; and $8,790,124 respectively. Oh no, the top 0.01% household will have to make do with only $1.2 million; how will they survive!?

This raises enough revenue that it allows me to do some even more exciting things. With a $15,000 basic income, I can eliminate social welfare programs for sure. But then I can also cut military spending, say in half—still leaving us the largest military in the world. I can move funds around to give Medicare to every single American, an additional cost of about twice what we currently pay for Medicare. Then Medicaid doesn’t just get cut; it can be eliminated entirely, folded into Medicare. Assuming that the net effect on total spending is zero, the resulting deficit is estimated at only $168 billion, well within the range of what can be sustained indefinitely.

And really, that’s only the start. Once you consider all the savings on healthcare spending—an average of $4000 per person per year, if switching to single-payer brings us down to the average of other highly-developed countries. This is more than what the majority of the population would be paying in taxes under this plan—meaning that once you include the healthcare benefits, the majority of Americans would net receive money from the government. Compared to our current system, everyone making under about $80,000 would be better off. That is what we could be doing right now—free healthcare for everyone, a balanced budget (or close enough), and the majority of Americans receiving more from the government than they pay in taxes.

These results are summarized in the table below. (I also added several more rows of representative households—though still not all the brackets I used!) I’ve color-coded who would be paying less in tax in green and who would be more in tax in red under each plan, compared to our current system. This color-coding is overly generous to Trump’s plan and the 30% flat tax plan, because it doesn’t account for the increased government deficit (though I did color-code those as well, again relative to the current system). And yet, over 50% of households make less than $51,986, putting the poorest half of Americans in the green zone for every plan except Trump’s. For the last plan, I also color-coded those between $52,000 and $82,000 who would pay additional taxes, but less than they save on healthcare, thus net saving money in blue. Including those folks, we’re benefiting over 69% of Americans.

Household

pre-tax income

Current tax system Trump’s tax plan Flat 30% tax with $12k basic income Flat 40% tax with $15k basic income Logtax 20% Logtax 25% with $12k basic income Logtax 35% with $15k basic income, single-payer healthcare
$1,080 $108 $130 -$11,676 -$14,568 -$856 -$12,121 -$15,173
$12,317 $1,384 $1,478 -$8,305 -$10,073 -$1,254 -$11,413 -$14,186
$22,162 $2,861 $2,659 -$5,351 -$6,135 $450 -$9,224 -$11,213
$32,058 $4,345 $3,847 -$2,383 -$2,177 $2,887 -$6,256 -$7,258
$51,986 $8,768 $6,238 $3,596 $5,794 $9,041 $1,115 $2,383
$77,023 $15,027 $9,506 $11,107 $15,809 $18,206 $11,995 $16,350
$81,966 $16,263 $10,742 $12,590 $17,786 $20,148 $14,292 $17,786
$97,161 $20,242 $14,540 $17,148 $23,864 $26,334 $21,594 $28,516
$101,921 $21,575 $15,730 $18,576 $27,875 $30,571 $23,947 $31,482
$151,940 $35,580 $28,235 $33,582 $45,776 $50,655 $50,144 $64,180
$781,538 $265,625 $230,158 $222,461 $297,615 $406,076 $458,140 $551,031
$2,036,666 $762,656 $644,350 $599,000 $799,666 $1,228,795 $1,384,475 $1,618,703
$9,935,858 $3,890,736 $3,251,083 $2,968,757 $3,959,343 $7,065,274 $7,819,932 $8,790,124
Change in federal spending $0 $0 -$630 billion -$630 billion $0 -$630 billion $0
Estimated federal surplus -$682 billion -$1,155 billion -$822 billion -$180 billion $110 billion $63 billion -$168 billion

Medicaid expansion and the human cost of political polarization

JDN 2457422

As of this writing, there are still 22 of our 50 US states that have refused to expand Medicaid under the Affordable Care Act. Several other states (including Michigan) expanded Medicaid, but on an intentionally slowed timetable. The way the law was written, these people are not eligible for subsidized private insurance (because it was assumed they’d be on Medicaid!), so there are almost 3 million people without health insurance because of the refused expansions.

Why? Would expanding Medicaid on the original timetable be too arduous to accomplish? If so, explain why 13 states managed to do it on time.

Would expanding Medicaid be expensive, and put a strain on state budgets? No, the federal government will pay 90% of the cost until 2020. Some states claim that even the 10% is unbearable, but when you figure in the reduced strain on emergency rooms and public health, expanding Medicaid would most likely save state money, especially with the 90% federal funding.

To really understand why so many states are digging in their heels, I’ve made you a little table. It includes three pieces of information about each state: The first column is whether it accepted Medicaid immediately (“Yes”), accepted it with delays or conditions, or hasn’t officially accepted it yet but is negotiating to do so (“Maybe”), or refused it completely (“No”). The second column is the political party of the state governor. The third column is the majority political party of the state legislatures (“D” for Democrat, “R” for Republican, “I” for Independent, or “M” for mixed if one house has one majority and the other house has the other).

State Medicaid? Governor Legislature
Alabama No R R
Alaska Maybe I R
Arizona Yes R R
Arkansas Maybe R R
California Yes D D
Colorado Yes D M
Connecticut Yes D D
Delaware Yes D D
Florida No R R
Georgia No R R
Hawaii Yes D D
Idaho No R R
Illinois Yes R D
Indiana Maybe R R
Iowa Maybe R M
Kansas No R R
Kentucky Yes R M
Lousiana Maybe D R
Maine No R M
Maryland Yes R D
Massachusetts Yes R D
Michigan Maybe R R
Minnesota No D M
Mississippi No R R
Missouri No D M
Montana Maybe D M
Nebraska No R R
Nevada Yes R R
New Hampshire Maybe D R
New Jersey Yes R D
New Mexico Yes R M
New York Yes D D
North Carolina No R R
North Dakota Yes R R
Ohio Yes R R
Oklahoma No R R
Oregon Yes D D
Pennsylvania Maybe D R
Rhode Island Yes D D
South Carolina No R R
South Dakota Maybe R R
Tennessee No R R
Texas No R R
Utah No R R
Vermont Yes D D
Virginia Maybe D R
Washington Yes D D
West Virginia Yes D R
Wisconsin No R R
Wyoming Maybe R R

I have taken the liberty of some color-coding.

The states highlighted in red are states that refused the Medicaid expansion which have Republican governors and Republican majorities in both legislatures; that’s Alabama, Florida, Georgia, Idaho, Kansas, Mississippi, Nebraska, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Utah, and Wisconsin.

The states highlighted in purple are states that refused the Medicaid expansion which have mixed party representation between Democrats and Republicans; that’s Maine, Minnesota, and Missouri.

And I would have highlighted in blue the states that refused the Medicaid expansion which have Democrat governors and Democrat majorities in both legislatures—but there aren’t any.

There were Republican-led states which said “Yes” (Arizona, Nevada, North Dakota, and Ohio). There were Republican-led states which said “Maybe” (Arkansas, Indiana, Michigan, South Dakota, and Wyoming).

Mixed states were across the board, some saying “Yes” (Colorado, Illinois, Kentucky, Maryland, Massachusetts, New Jersey, New Mexico, and West Virginia), some saying “Maybe” (Alaska, Iowa, Lousiana, Montana, New Hampshire, Pennsylvania, and Virginia), and a few saying “No” (Maine, Minnesota, and Missouri).

But every single Democrat-led state said “Yes”. California, Connecticut, Delaware, Hawaii, New York, Oregon, Rhode Island, Vermont, and Washington. There aren’t even any Democrat-led states that said “Maybe”.

Perhaps it is simplest to summarize this in another table. Each row is a party configuration (“Democrat, Republican”, or “mixed”); the column is a Medicaid decision (“Yes”, “Maybe”, or “No”); in each cell is the count of how many states that fit that description:

Yes Maybe No
Democrat 9 0 0
Republican 4 5 14
Mixed 8 7 3

Shall I do a chi-square test? Sure, why not? A chi-square test of independence produces a p-value of 0.00001. This is not a coincidence. Being a Republican-led state is strongly correlated with rejecting the Medicaid expansion.

Indeed, because the elected officials were there first, I can say that there is Granger causality from being a Republican-led state to rejecting the Medicaid expansion. Based on the fact that mixed states were much less likely to reject Medicaid than Republican states, I could even estimate a dose-response curve on how having more Republicans makes you more likely to reject Medicaid.

Republicans did this, is basically what I’m getting at here.

Obamacare itself was legitimately controversial (though the Republicans never quite seemed to grasp that they needed a counterproposal for their argument to make sense), but once it was passed, accepting the Medicaid expansion should have been a no-brainer. The federal government is giving you money in order to give healthcare to poor people. It will not be expensive for your state budget; in fact it will probably save you money in the long run. It will help thousands or millions of your constituents. Its impact on the federal budget is negligible.

But no, 14 Republican-led states couldn’t let themselves get caught implementing a Democrat’s policy, especially if it would actually work. If it failed catastrophically, they could say “See? We told you so.” But if it succeeded, they’d have to admit that their opponents sometimes have good ideas. (You know, just like the Democrats did, when they copied most of Mitt Romney’s healthcare system.)

As a result of their stubbornness, almost 3 million Americans don’t have healthcare. Some of those people will die as a result—economists estimate about 7,000 people, to be precise. Hundreds of thousands more will suffer. All needlessly.

When 3,000 people are killed in a terrorist attack, Republicans clamor to kill millions in response with carpet bombing and nuclear weapons.

But when 7,000 people will die without healthcare, Republicans say we can’t afford it.