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I ranked colleges by ROI

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I ranked colleges by ROI

Recent public debates about whether college is worth it motivated me to try to specifically answer that question at a university and degree program level. For my analysis "ROI" is represented by net present value, which accounts for likelihood of completion, median income and debt at graduation, and the opportunity costs of not entering the workforce immediately out of high school. The most interesting insight from this work for me is the stark divide between majors. College is nearly guaranteed to be a good choice if you are studying fields in STEM or business - this is true across all "tiers" of institutions and even for-profits. This is contrasted by programs in the arts for example, where fewer than 20% of programs leave the median student better off... while these students pay the same tuition and are able to take on the same amount of debt.

Visit productView on Hacker NewsDec 14, 2024
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: profit · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
15%15% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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