When Harvard graduates try to use numbers (Dan Koh, Massachusetts candidate for Congress)
Consider Dan Koh, a candidate for U.S. Congress in Maskachusetts, the Smart State (TM). Wokipedia says that he/she/ze/they is a Harvard graduate, has a Harvard MBA, and was a senior official in the Cognitive Excellence Administration:
In 2021, Koh was named Chief of Staff to the United States Secretary of Labor, Marty Walsh. Later, he served as Special Assistant to the President and Deputy Cabinet Secretary at the White House. He concluded his service as Deputy Assistant to the President and Deputy Director of the White House Office of Intergovernmental Affairs
Here’s his/her/zir/their own tweet where he/she/ze/they attempts to do some budget arithmetic:
The first number in the tweet, “$30 billion for 10k more ICE agents”, caught my eye because it is only about one day of spending for our government (federal+state+local). The $30 billion figure turns out to be inaccurate/misleading as well. Brennan Center:
The budget also gives approximately $30 billion over four years to ICE to track down, arrest, and deport immigrants, allowing it to hire 10,000 new officers.
So it’s $7.5 billion per year, not $30 billion per year, and it covers all ICE agents, not just 10,000 new ones.
How far is $7.5 billion from covering the three items that this Harvard graduate imagines it will cover? ChatGPT to the rescue!
Prompt: On a nationwide basis, how much would it cost to – Cover all ACA subsidies for a year – End all Rx copays – Eliminate all medical debt. ?
Answer:
The Harvard MBA is off by a factor of about 30X, according to ChatGPT. The ICE funding, even if it were $30 billion per year, wouldn’t begin to cover just the first item on Koh’s list (ACA subsidies).
What’s interesting to me: (1) that this level of innumeracy isn’t a liability in American politics, and (2) that someone suffering from innumeracy to this degree wouldn’t check tweets with ChatGPT before posting. Let’s keep in mind that this person is a rising star among Democrats and is purportedly qualified to run a company (the Harvard MBA) where misunderestimating costs by 30X could lead to serious financial distress.
In case the above tweet is memory-holed:
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