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ben

@btskinner.io

532 followers 197 following 26 posts

Data science + noisy music | ATV wheelie judge (junior division) | btskinner.io | he/him

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ben @btskinner.io · 03/02/2026

Still have mine and it’s one of my favorite things still. When the battery and hard drive started going out, I replaced them and now it holds ~1TB and will run for about a week between charges

Picture of a black iPod Classic with a grey case from 2006.

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ben @btskinner.io · 01/05/2025

Here are NEH appropriations adjusted for inflation. In real dollars, the agency's highest funding levels were over $600 million (2024 dollars) in the late 1970s and have been flat for the past 30 years. NEH staff have been excellent stewards of public funds, doing so much with increasingly less.

Line graph titled, "Annual appropriations to the National Endowment for the Humanities, 1966-2024." The x-axis shows fiscal years from 1966 to 2024. The y-axis shows appropriation dollars in millions, from $0 to over $600. There are two lines, one solid showing nominal dollar appropriations to NEH. The other is dashed and shows the inflation-adjusted values, adjusted to real 2024 dollars. The adjusted line is always higher until meeting the nominal line in 2024. It is almost 6 times higher, over $600 million in real dollars, in the 1970s before dropping in the 1980s and 1990s. Two text boxes say: (1) "Adjusted for inflation, annual appropriations to the National Endowment for the Humanities were highest in the late 1970s, reaching over $600 million in 2024 dollars in 1979." (2) "In real terms, NEH appropriations have been relatively flat for the past three decades."

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ben @btskinner.io · 01/05/2025

In FY2024, NEH received $207 million in appropriations — its highest ever. Here's a graph of its funding trajectory over the agency's existence. In talks of efficiency, however, we should account for the real value of those dollars...

Line graph titled, "Annual appropriations to the National Endowment for the Humanities, 1966-2024." On the x-axis are fiscal years, which run from 1966 to 2024. On the y-axis are appropriation dollars in millions, from $0 to about $250 million. The charge shows a generally increasing trend that starts about $6 million and ends at $207 million. Three text boxes say: (1) "The National Endowment for the Humanities was initially appropriated $5.9 million in 1966." (2) "Appropriations to NEH increased from 1966 to the mid-1990s, reaching $177 million in 1995. From this peak, the agency lost nearly 40% of its funding in FY1996, dropping to $110 million." (3) "NEH received $207 million in FY2024, which represented the highest nominal appropriation amount in the agency's history."

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ben @btskinner.io · 29/04/2025

As an elder millennial, I could trade my lifetime of tax contributions to the NEH for one month of Netflix and have just enough left over to get some avocado toast if I split it with two other people

Line graph titled "What's my share of NEH appropriations" with a caption: "Between its founding in 1965 and fiscal year 2024, the National Endowment for the Humanities received congressional appropriations totaling $7.37 billion. NEH used this funding to support thousands of individuals and cultural organizations - both directly through various grant programs and indirectly through funds disbursed by the 56 state and jurisdictional humanities councils. Beyond these appropriations, grantees raised millions of dollars more from non-federal donors as part of grant matching requirements. To put NEH appropriations in perspective, this chart shows cumulative annual per capita contribution to NEH by age, that is, the total dollar amount the average taxpayer has given to NEH over their lifetime. A few relevant purchases are helpfully included to show what a person could have bought instead, had they kept their personal NEH contribution for themselves..." The x-axis ranges from 0 to 59 years old. The y-axis ranges from $0 to $30. At three ages, items that could have instead been purchased with an individual's lifetime NEH contribution are shown. At 13 years, an egg is plotted on the line with a dollar amount of $6.41 and the caption reads, "Just in time to feed a growth spurt, a person at 13 years old has contributed enough to NEH that they could instead purchase one dozen eggs ($6.23/dozen)." At 36 years, a popcorn bucket is plotted with a dollar amount of $18.20 and the caption reads, "Millennials who are at least 36 years old could exchange their nearly four decades worth of NEH support for a one month subscription to Netflix ($17.99/month)." At 50 years, a gasoline pump is plotted with the dollar amount of $26.00 and the caption reads, "Those 50 years old or older - who have been contributing to the agency for nearly its entire existence - could instead have saved that money to purchase about a half tank of gas (8 gallons at $3.23/gallon)."

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ben @btskinner.io · 14/04/2025

Code to convert large US Census state, county, and congressional district shapefiles to lightweight TOPOJSON files for web use. Again, we made this so as to include territories where most solutions do not. Both unprojected and projected files are in the repo. github.com/nehgov/usa_t...

A map of congressional districts (2019 at 5m resolution) that includes five inhabited territories served by NEH. Non-contiguous areas are placed around the continental United States in the typical fashion, with western states and territories on the bottom left and Caribbean territories on the bottom right.

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ben @btskinner.io · 14/04/2025

Code to make equal area tile choropleth maps in GeoJSON and TOPOJSON that include territories as well as states. We needed to make these since most existing solutions don't include territories and/or require the use of a specific language (e.g., R). Data files in repo. github.com/nehgov/state...

Choropleth tile map that includes equal area squares for each state plus DC and the five inhabited territories served by NEH. The state / territory squares are arranged to approximate the shape of the United States, with non-contiguous areas placed to the left or right of the main figure. The tiles are color coded with five random shades to demonstrate how it might be used in a data project.

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