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DataGeekB , to sociology
@DataGeekB@mastodon.social avatar

End of an era? Just published the final brief in the series on guidance for working with 2020 Census data products. For those who use the data, I hope the series is helpful.

"Disclosure Avoidance and the Supplemental DHC File: How PHSafe Works"
https://www.census.gov/library/publications/2024/dec/c2020br-12.html

@demography @sociology @economics

PopResearchCtrs , to sociology
@PopResearchCtrs@sciences.social avatar

New data set, called Optimized Spatial Census Information Linked Across Time (OSCILAT), enables more precise spatial and longitudinal analysis of census data and supports exact tabulations of census responses for custom areas.

Access is available, with approval from the U.S. Census Bureau, through the FSRDC system. https://pubmed.ncbi.nlm.nih.gov/38182590/

@demography @sociology @publichealth @geography

aram , to bookstodon
@aram@aoir.social avatar

Lovely interview and writeup of my new book "The Secret Life of Data" in the new Columbia Mag

https://magazine.columbia.edu/article/secret-life-of-data-aram-sinnreich

@jesse @themitpress
@commodon
@bookstodon

bibliolater , to bookstodon
@bibliolater@qoto.org avatar

🔴 📚 🌍 Visualized: Which Countries Publish the Most Books in Each Region?

This graphic visualizes the number of books published by the number of International Standard Book Numbers (ISBN, a unique product identifier for cataloging and tracking book sales) registered in 2022 for the top countries in each global region.

🔗 https://www.visualcapitalist.com/visualized-which-countries-publish-the-most-books-in-each-region/

@bookstodon

PopResearchCtrs , to sociology
@PopResearchCtrs@sciences.social avatar

New commenatary "Assessing Trends in the Desire to Avoid Pregnancy: A Cautionary Note" explores differing trends across two measures (prospective fertility preferences and the demand for contraception) and offers suggestions on interpretation.

https://pubmed.ncbi.nlm.nih.gov/39044337/

@demography @sociology @publichealth

kris_inwood , to sociology
@kris_inwood@mas.to avatar

The 8th Text-As-Data Workshop is now inviting submissions!
Last call, deadline August 4

Organisers: Elliott Ash, Sascha Becker & Philine Widmer
Sponsors: @ethzurich.bsky.social, Monash U, Warwick U & CEPR

https://ow.ly/tcOZ50SBw9h

@economics @socialscience @sociology @politicalscience @econhist @sts @SocArXivBot

Why doesn't the American market provide efficient and effective health insurance like it does for car insurance?

Car insurance is relatively simple. I shop around, telling them how much coverage I want. They request my driving history, and give me a quote. At any time, I can shop around and change insurance policies without any problems. Once it’s time to collect payment, it’s a relatively simple matter. What makes health insurance so...

litchralee , (edited ) to nostupidquestions in Why doesn't the American market provide efficient and effective health insurance like it does for car insurance?

At its very core, an insurance company operates by: 1) pooling policyholder’s risks together and 2) collecting premiums from the policyholders based on actuarial data, to pay claims and maybe make a small profit. But looking broader, an insurance market exists when: a) policyholders voluntarily or are obliged to obtain policies, b) insurers are willing and able to accept the risks in exchange for a premium expected to support the insurance pool, and c) the actuarial risks are calculable and prove true, on average.

The loss of any of A, B, or C will substantially impact a healthy insurance market, or can prevent the insurance market from ever getting started. For some examples of market failures, the ongoing California homeowner insurance crisis shows how losing B (starting with insurers refusing to renew policies near the wildland-rural interface) and C (increase in insured losses due to climate change) results in policies becoming unaffordable or impossible to obtain.

As a broader nationwide example, an established business sector that operates wholly without insurance availability is cannabis. A majority of US States have decriminalized marijuana for medical use, and a near-majority have legalized recreational consumption. Yet due to unyielding federal law, no insurer will issue policies for marijuana businesses, to protect from risks that any business would face, such as losses from fire, due to a product recall or product liability, or for liability to employees. These risks are calculable and there’s a clear need for such policies – thus meeting criteria A and C – but no commercial insurer is willing to issue. Accordingly, the formal market for cannabis business insurance is virtually non-existent in the USA.

With these examples, we can see that the automobile insurance market meets all three criteria for a healthy market, but it’s how these criteria are met which is noteworthy. Motorists in the USA are obliged to insure in every state except New Hampshire and Virginia: it is a criminal offense to drive a car without third-party liability insurance, meaning the motorist might spend time in jail. Note: NH and VA won’t send a motorist to jail, but they do have administrative penalties for driving without “financial responsibility”, which includes insurance or a bond at the DMV.

The exact requirement varies per state, with some requiring very low amounts of coverage and others requiring extra coverage like Personal Injury Protection (PIP, aka no-fault insurance). The point is that criteria A is easily met: motorists want to avoid jail, but also want to avoid the indignity of being sued after having caused a road incident, in addition to protecting their apparently only viable mode of transportation.

Insurers can take into account the overall trends in national risks trends for automobiles (eg new car safety, through the Insurance Institute for Highway Safety, IIHS) as well as local or hyper-local risks (eg hail damage in the southeast, property crime in a particular zip code). And as a large country with nearly as many cars as people, many insurers are willing to meet the demand. This satisfies criteria B and C.

So well-organized is the automobile insurance market that you could almost say that it’s vertically integrated: the largest nationwide insurers have contracts in place with every dealership network, auto collision chain, new and used parts dealers, as well as automatic data sharing with state DMVs, plus with firms like CarFax that buy information. Despite each state being slightly different, the insurers have overcome and achieved a level of near uniformity that allows an efficient market to exist.

Things are drastically different for the American healthcare system and for American health insurance companies. While most think of their healthcare provider as a national name like Anthem Blue Cross or Kaiser Permanente, the reality is that each state is an island, and sometimes counties in a state are enclaves. Even federal programs like Medicaid and Medicare are subject to state-level non-uniformities. For example, hospitals can be either privately operated (eg religion-affiliated, or for-profit) or run by a public entity (eg county or state), and can exist as a single entity or form part of a regional hospital network. Some entities operate both the insurance pool as well as providing the health care (eg HMOs like Kaiser Permanente) while others dispatch to a list of contracted providers, usually being doctor’s own private practices or specialist offices.

With so many disparate entities, and where healthcare is a heavily-regulated activity by each state, the cost of insurable risks – that is, for routine healthcare services – is already kinda difficult to compute. Hospitals and doctors go through intense negotiations with insurers to come to an agreement on reimbursement rates, but the reality is that neither has sufficient actuarial data to price based on what can be borne by the market. So they just pass their costs on, whatever those may be, and insurers either accept it into their calculations, or drop the provider.

Suffice it to say, there are fewer pressure to push the total cost of healthcare down, given this reality, and more likely prices will continue to climb. This fails criteria C.

financial flow in the US healthcare systemSource

Briefly speaking, it’s fairly self explanatory why people would want health insurance, since the alternative is either death or serious health repercussions, paying out-of-pocket rates for service, or going to the ER and being burdened by medical debt that will somehow haunt even after death. Criteria A is present.

As for Criteria B, that was actually resolved as part of the Affordable Care Act (ACA). During discussions with the drafters, insurers bargained for an obligation for everyone to have insurance (aka the individual mandate, bolstering criteria A), in exchange for an obligation to issue policies for anyone who applies, irrespective of pre-existing health conditions. Thus, Criteria B is present for all ACA-compliant policies in the USA, even though the individual mandate was later legislatively repealed.

So to answer your question directly, the costs for healthcare in the USA continue to spiral so far out of control that it causes distortions in the health insurance market, to everyone’s detriment. Specific issues such as open-enrollment periods, employer subsidies, and incomprehensible coverage levels all stem from – and are attempts to reduce – costs.

Enrollment periods prevent people from changing plans immediately after obtaining an expensive service, like a major surgery. Employer subsidies exist due to a federal tax quirk decades ago, which has now accidentally become an essential part of the health insurance and health care situation. And coverage levels try to provide tiered plans, so people can still afford minimal coverage for “catastrophic” injuries while others can buy coverage for known, recurring medical needs.

But these are all bandaging the bleeding which is unchecked costs. It would take an act of Congress – literally – or of state legislatures to address the structural issues at play. The most prominent solution to nip costs is the bud is to achieve the same near-vertical integration as with automobile insurance. This means a single or very few entities which have contracts in place with every provider (doctors and hospitals), negotiated at once and uniformly, so as to achieve criteria C. The single-payer model – which Medicare already uses – is one such solution.

Going further would be the universal healthcare model, which discards the notion of health insurance entirely and creates an obligation for a government department to provide for the health of the citizens, funded by taxes. This means doctors and hospitals work at the behest of the department for the citizenry, or work privately outside the system entirely, with no guarantee of a steady stream of work. Substantial administrative savings would arise, since the number of players has been reduced and thus simplifies things, including the basic act of billing and getting paid for services rendered.

These models could be approached by individual states or by the nation as a whole, but it’s unclear where the Overton window for that idea currently is.

appassionato , to bookstodon
@appassionato@mastodon.social avatar

Data Grab The New Colonialism of Big Tech and How to Fight Back by Ulises A. Mejias, 2024

A compelling argument that the extractive practices of today's tech giants are the continuation of colonialism—and a crucial guide to collective resistance.

@bookstodon





aram , to bookstodon
@aram@aoir.social avatar
PopResearchCtrs , to sociology
@PopResearchCtrs@sciences.social avatar

Commonly used methods for linking CPS ASEC files do not address how to link the ASEC oversample records across years, leading to smaller linked sample sizes. A new paper demonstrates how to recover the linkable oversample cases in the 2005-2020 ASEC, resulting in about 150,000 more linked records (30% increase in the overall linked sample size).

https://pubmed.ncbi.nlm.nih.gov/38264507/

@economics @demography @sociology

Is everything the worst?

I’m 43, almost 44, years old and went through a bought of alcoholism during the early part of the pandemic. I went through treatment and have been fine since. However, I can’t help but feel that all the news in the last few months is just the worst. Between the AI bullshit, the wars, the effects of capitalism, and the...

eightpix , to asklemmy in Is everything the worst?
@eightpix@lemmy.world avatar

USA, 55th in the world overall, for maternal mortality in a 2018 study.

A fast look at the UNICEF data for 2020 shows 66th.

That’s behind the State of Palestine (61st), Moldova (46th), Albania (34th), Poland (3rd) and Belarus (1st).

data.unicef.org/topic/…/maternal-mortality/

PopResearchCtrs , to sociology
@PopResearchCtrs@sciences.social avatar

Having a college education shapes women’s work and family trajectories—including their marriage, parenting, and employment patterns—but the effects of education differ among Black, Latina, and white women, according to new research.

Here are 4 key takeaways

https://www.prb.org/articles/college-shapes-black-white-and-latina-womens-work-and-family-lives-differently/

@demography @sociology @economics

aram , to bookstodon
@aram@aoir.social avatar

New from me on Shepherd: The best books about data that will blow your mind 🤯🤖📚

https://shepherd.com/best-books/books-about-data-that-will-blow-your-mind

@bookstodon

Andreas_Hepp , to sociology
@Andreas_Hepp@sciences.social avatar

Our next version of went online: a tool for qualitative . Key features: ease of use, collaborative work on projects and a plug-in infrastructure that allows it to be expanded with additional functions if required. With @kadewe, @hohse, Alessandro Belli and Jan Küster

@communicationscholars
@sociology

https://zemki.uni-bremen.de/en/research-software-made-at-zemki-openqda-goes-public/

bibliolater , to science
@bibliolater@qoto.org avatar

"Researchers publish largest-ever dataset of neural connections

A cubic millimeter of brain tissue may not sound like much. But considering that that tiny square contains 57,000 cells, 230 millimeters of blood vessels, and 150 million synapses, all amounting to 1,400 terabytes of data, Harvard and Google researchers have just accomplished something stupendous."

https://news.harvard.edu/gazette/story/2024/05/the-brain-as-weve-never-seen-it/

@science

bibliolater , to science
@bibliolater@qoto.org avatar

"Infant mortality rates have plummeted over the last 50 years.

Globally, they’ve fallen by over two-thirds, from around 10% in 1974 to less than 3% today.

The study’s researchers estimate that 40% of this decline is due to vaccines."

Hannah Ritchie (2024) - “Vaccines have saved 150 million children over the last 50 years” Published online at OurWorldInData.org. Retrieved from: 'https://ourworldindata.org/vaccines-children-saved' [Online Resource]

@science

bibliolater , to science
@bibliolater@qoto.org avatar
aram , to bookstodon
@aram@aoir.social avatar

My book THE SECRET LIFE OF DATA comes out tomorrow (4/30) from @themitpress. Please help us launch with a splash by preordering today:

https://a.co/d/gLsDG1c

@commodon @bookstodon

bibliolater , to science
@bibliolater@qoto.org avatar
i_ngli , to anthropology
@i_ngli@assemblag.es avatar
bibliolater , to science
@bibliolater@qoto.org avatar

"All tested LLMs performed poorly on medical code querying, often generating codes conveying imprecise or fabricated information. LLMs are not appropriate for use on medical coding tasks without additional research."

Soroush, A. et al. (2024) 'Large language models are poor medical coders — benchmarking of medical code querying,' NEJM AI [Preprint]. https://doi.org/10.1056/aidbp2300040. @science

kris_inwood , to anthropology
@kris_inwood@mas.to avatar

Data infrastructure for Canada

Attractive new tool to map census data since 1951 at https://edumaps.esri.ca/census/
New polygon files for historic census data at
https://hgiscanada.usask.ca/download
And the historical census microdata are coming soon https://thecanadianpeoples.com

@economics @demography @socialscience @sociology @politicalscience @geography @anthropology @econhist @devecon @archaeodons

aram , to bookstodon
@aram@aoir.social avatar

I had a really fun conversation with @jesse and the hosts of KPCW's "Cool Science Radio" about our forthcoming book "The Secret Life of Data" from @themitpress. Check it out here:

https://www.kpcw.org/show/cool-science-radio/2024-03-28/how-our-data-is-really-being-used

@commodon @bookstodon

bibliolater , to science
@bibliolater@qoto.org avatar

"We compare per capita ratios with an approach based on regression, a widely used statistical procedure that eliminates many of the problems with ratios and allows for straightforward data interpretation."

Kratochvíl Lukáš and Havlíček Jan. 2024 The fallacy of global comparisons based on per capita measures. R. Soc. Open Sci.11: 230832. 230832. https://doi.org/10.1098/rsos.230832 @science

aram , to bookstodon
@aram@aoir.social avatar

Hey folks:

If you're interested in , , , , , come to the book launch for THE SECRET LIFE OF DATA, hosted by Microsoft NERD, @themitpress & ACLU-Massachusetts.

Register free here: https://action.aclu.org/webform/secret-life-data-event

@bookstodon @commodon @ICAHDQ @AoIR

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