Hey! What the Froot was up with this Harvard website?

2026-02-27 · Source: Statistical Modeling, Causal Inference, and Social Science · Field: Technology & Digital — Software Development & Engineering, Cloud Computing & IT Infrastructure · Depth: Fundamental Awareness, quick

Summary

A blog post about teaching materials for "Llaudet and Imai’s Data Analysis for Social Science" initially contained a broken link to Harvard's scholar.harvard.edu domain. A reader, Shriram Krishnamurthi, identified that the original link, intended for instructor resources, redirected to an unrelated professor's personal website, k-froot.com. The author investigated, confirming that not only the specific broken link but also other non-existent scholar.harvard.edu URLs (e.g., scholar.harvard.edu/abc) were redirecting to k-froot.com, the homepage of a retired Harvard business administration professor. The author speculated whether this was an intentional arrangement or a website glitch, noting that the main harvard.edu domain produced standard 404 errors for non-existent pages. A postscript indicates that the mysterious redirection issue was later resolved, suggesting it was a temporary glitch.

Key takeaway

For webmasters and content managers maintaining academic or institutional websites, you should regularly audit external links and monitor for unexpected redirects. This incident highlights how a seemingly minor broken link can expose unusual or misconfigured server behavior, potentially impacting user experience and content discoverability. Ensure your site's error handling for non-existent pages is consistent and leads to appropriate 404 responses.

Key insights

Broken links on a university scholar domain can unexpectedly redirect to unrelated personal sites.

Principles

• Website redirects can reveal underlying configuration issues.
• Non-existent URLs should ideally lead to standard 404 pages.

In practice

• Regularly check external links for validity.
• Monitor website redirects for unexpected behavior.

Topics

• Website Redirection
• Broken Links
• Harvard Scholar Site
• Teaching Resources
• Data Analysis Materials

Best for: IT Professional, Software Engineer, General Interest

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Editorial summary, takeaway, and curation by AIssential. Original article published by Statistical Modeling, Causal Inference, and Social Science.