The state of Louisiana has managed to reduce its Hepatitis C death rate by nearly a sixth in just a few years through a clever public health programđź§µ
Louisiana's success has to do with the recent development of a miraculous change in how Hepatitis C (HCV) is treated.
Prior to 2013, HCV was primarily treated with drugs like interferon and ribavirin, but the drugs were not consistently effective at clearing the virus.
But then the FDA approved the first direct-acting antiviral (DAA), sofosbuvir, a liver-targeting NS5B protein inhibitor that, combined with another protein inhibitor (velpatasvir), is effective in treating 95-99% of HCV patients.
That's basically everyone!
A few more DAAs have come out since then, but they all share an annoying problem: They're expensive.
It would cost over $300 billion to treat every HCV-positive person in the U.S. That's a very large share of the budget of Medicaid, so it's not really feasible.
But Louisiana figured out how to make it feasible.
Where other states negotiate with multiple drug producers at once, Louisiana negotiated with just one company to give them the state's full $30m, if they provided unrestricted medication access
Asegua Therapeutics took the deal
Being the sole supplier for an unlimited amount might seem like it would be bad for the company, but their prices are far from costs, and they were actually likely to get far higher returns this way than if they had been one of six suppliers.
So the marginal cost fell to zero.
Louisiana had a goal of curing at least 10,000 Medicaid-enrolled and incarcerated persons by 2020 and to screen and identify 90% of HCV patients, with 80% cured, by 2024.
With that in mind, the state started diagnosing people left-and-right, immediately:
Louisiana also rapidly increased prescriptions for Epclusa, the generic drug they had made a contract for to get whatever amount they wanted.
In this effort, Louisiana showed out.
The state went from below-average prescription numbers to beating the national average handily.
Given this clear increase in diagnoses, prescriptions, and so on, you can guess that a lot of the graphs look similar.
And they do!
In this image, you can see HCV deaths falling straight away via event-study:
And in this, you can see a knock-on consequence: the number of people in need of liver transplants fell.
Moreover, they started being in better condition, enjoying better-functioning livers while they were seeking a new one.
Before continuing: Everything shown here holds up whether using synthetic controls or an event-study.
This is a really impressive study, and it's showing some credible and important results.
So, let me recap.
Louisiana negotiated an exclusive deal to have the state provide certain very at-risk populations with essential drugs on the cheap.
This worked amazingly: they saved lives, they helped clear their transplant backlogs, and they might've done more.
Hepatitis C is variable. Sometimes it takes a short while to show symptoms, sometimes it takes decades
By curing so many people, Louisiana might've cut down on future transmission, saving more money than expected
Oh, and already, this program more than paid for itself!
I highly recommend giving this study a read. In my opinion, it gives a solid vision for future, affordable public health initiatives that can easily pay for themselves, like Louisiana's effort to eliminate Hepatitis C.
This research directly militates against modern blood libel.
If people knew, for example, that Black and White men earned the same amounts on average at the same IQs, they would likely be a lot less convinced by basically-false discrimination narratives blaming Whites.
Add in that the intelligence differences cannot be explained by discrimination—because there *is* measurement invariance—and these sorts of findings are incredibly damning for discrimination-based narratives of racial inequality.
So, said findings must be condemned, proscribed.
The above chart is from the NLSY '79, but it replicates in plenty of other datasets, because it is broadly true.
For example, here are three independent replications:
A lot of the major pieces of civil rights legislation were passed by White elites who were upset at the violence generated by the Great Migration and the riots.
Because of his association with this violence, most people at the time came to dislike MLK.
It's only *after* his death, and with his public beatification that he's come to enjoy a good reputation.
This comic from 1967 is a much better summation of how the public viewed him than what people are generally taught today.
And yes, he was viewed better by Blacks than by Whites.
But remember, at the time, Whites were almost nine-tenths of the population.
Near his death, Whites were maybe one-quarter favorable to MLK, and most of that favorability was weak.
The researcher who put together these numbers was investigated and almost charged with a crime for bringing these numbers to light when she hadn't received permission.
Greater Male Variability rarely makes for an adequate explanation of sex differences in performance.
One exception may be the number of papers published by academics.
If you remove the top 7.5% of men, there's no longer a gap!
The disciplines covered here were ones with relatively equal sex ratios: Education, Nursing & Caring Science, Psychology, Public Health, Sociology, and Social Work.
Because these are stats on professors, this means that if there's greater male variability, it's mostly right-tail
Despite this, the very highest-performing women actually outperformed the very highest-performing men on average, albeit slightly.
The percentiles in this image are for the combined group, so these findings coexist for composition reasons.