Nostr notes by Nathan Yau (Unofficial)

Cost of college versus the return on investement For the New York ...

2026-10-29T15:38:22Z

Cost of college versus the return on investement

For the New York Times, Arfa Momin and Ron Lieber charted median income of graduates, by college and major.
Your school can make a big difference — or matter very little — depending on the major. A graduate who studied mechanical engineering at Carnegie Mellon University earned roughly $10,000 more than a graduate from the University of Alabama. That difference is over $150,000 if those same graduates studied computer science.
You can also search for your college and major to compare.
There are correlation and causation considerations to make here, but the data from the Department of Education exists to hold schools accountable. If a school charges a high tuition, but graduates earn lower incomes, then the program is worth a closer look.
The charts in the NYT article are based on an analysis by the HEA Group, who have made their data available for download. [Thanks, Charlotte]
Tags: college, education, income, New York Times

https://flowingdata.com/2026/10/29/cost-of-college-versus-the-return-on-investement/

#yorktimes #newyork #arfamomin #ronlieber #mellonuniversity #carnegiemellon #heagroup #education

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✚ Visualization tools and learning resources, October 2026 ...

2026-10-29T14:57:30Z

✚ Visualization tools and learning resources, October 2026 roundup

This is No. 412 of The Process. I am Nathan Yau, the keeper of FlowingData and this newsletter. Every month, I gather tools and resources to make better charts that communicate and reveal. Here is what happened in October.
Become a member for access to this — plus tutorials, courses, and guides.

https://flowingdata.com/2026/10/29/process-412-roundup/

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Cutting the cost of tokens On a per token basis, the cost of ...

2026-10-27T07:01:30Z

Cutting the cost of tokens

On a per token basis, the cost of using LLMs from Anthropic and OpenAI decreased a lot over just the past few months. Max Woolf lays out the fast timeline.
From the timeline above, there is a clear tit-for-tat between Anthropic and OpenAI, and it is reasonable to assume that these particular price cuts from OpenAI and Anthropic are in reaction to each other. However, no one cuts prices by 80% unless there is some externality in play. So, what gives?
Tags: Anthropic, cost, Max Woolf, OpenAI

https://flowingdata.com/2026/10/26/cutting-the-cost-of-tokens/

#cost #maxwoolf #anthropic #openai #however #tags #llms

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