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Which USC Frat Has the Hottest Guys?

Issue 012 · October 12, 2026

We’ve all seen the same frat rankings a hundred times. Here’s a simpler question: which house has the best-looking guys?

I scraped 247,659 posts from USC Sidechat, then built a statistical ranking model from the looks comparisons I found.

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How I ranked them

Using code and AI-assisted review, I screened 2,555 appearance-related candidates and closely reviewed 1,726 fraternity-related posts. The ranking uses comparisons from August 1, 2025–October 6, 2026. The weighted Bradley–Terry model combines these comparisons while accounting for which houses faced each other.

Weight per comparison

Whole-house evidence = 100%. Pledge classes and selected photos receive less weight because they cover narrower slices of a house.

Text posts with higher net vote scores receive more weight as a signal of resonance, with diminishing increases and a cap. More named-house poll selections also increase weight, up to a cap, because they supply more recorded preferences. Poll-post upvotes don’t count. I discount repeated same-day text comparisons and exclude individual-member posts.

How the order changes

I varied the weights, date windows and source rules, then separately checked what happened when each source and each day’s evidence was removed. The chart shows the 20 method settings: darker blocks mean more frequent ranks; red marks show the list above.

Ranked outcomes across method checks

HouseRank
1234567891011121314
TKE
 
 
 
 
 
 
 
 
 
 
 
 
 
ZBT
 
 
 
 
 
 
 
 
 
 
 
 
 
Lambda
 
 
 
 
 
 
 
 
 
 
 
 
 
Sig Chi
 
 
 
 
 
 
 
 
 
 
 
 
 
SNU
 
 
 
 
 
 
 
 
 
 
 
 
 
Delta Eta
 
 
 
 
 
 
 
 
 
 
 
 
 
KA
 
 
 
 
 
 
 
 
 
 
 
 
 
Sammy
 
 
 
 
 
 
 
 
 
 
 
 
 
Phi Delt
 
 
 
 
 
 
 
 
 
 
 
 
 
SAE
 
 
 
 
 
 
 
 
 
 
 
 
 
Phi Sig
 
 
 
 
 
 
 
 
 
 
 
 
 
Chi Phi
 
 
 
 
 
 
 
 
 
 
 
 
 
Beta
 
 
 
 
 
 
 
 
 
 
 
 
 
Taxi
 
 
 
 
 
 
 
 
 
 
 
 
 

Scored evidence: 20 looks comparisons (14 text comparisons and 6 polls, with 2,268 named-house selections). The graph reruns the same evidence; it does not add votes.

Limitations

Anonymous Sidechat posts and polls can include people hyping their own houses, repeat voters and uneven coverage. I weighted explicit looks comparisons and checked the order different ways; this ranks the opinions I found.

Sororities next? I’m tempted. Do I write the rankings or the apology first?

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