Hoppers vs Eddington: Which Is More Woke?
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Eddington appears more woke than Hoppers based on AI analysis, with a difference of about 7 points. Community votes are split or too thin to call a clear winner yet.

54Score
Slightly WokeCommunity (votes): not enough data yet
See full breakdown for Hoppers
61Score
Very WokeCommunity (votes): not enough data yet
See full breakdown for EddingtonAI vs community
AI verdict
Eddington is more woke than Hoppers (AI).
Eddington leads by 7 points on the AI scale.
Community verdict
No community vote curve yet. Cast a band vote on each title page.
Why the scores diverge
- The 7-point gap reflects how much ideology steers each story on our six-dimension pass, not just vibes.
- Eddington highlight: Dialogue often feels like it’s pushing a political agenda rather than developing character or plot.
- Hoppers highlight: Dialogue often feels like it is pushing a message about animal rights and consciousness rather than serving the plot.
- Hoppers: Characters are crafted to fit specific roles that symbolize broader themes, lacking depth beyond their representational value.
- Eddington: Some characters appear to be included more for their symbolic value than for their narrative depth.
Eddington reads higher on legacy rewriting than Hoppers, which nudges the overall profile message-forward. Eddington reads higher on modern politics injection than Hoppers, which nudges the overall profile message-forward. Eddington reads higher on cultural normalization framing than Hoppers, which nudges the overall profile message-forward.
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Frequently asked questions
- Which is more woke, Hoppers or Eddington?
- Eddington scores higher on the AI pass (61/100 vs 54/100).
- What do community votes say?
- There are not enough band votes on one or both titles yet. Vote on each page to build a community read.
- Why might AI and votes disagree?
- AI scores come from a structured model pass; votes capture how people read the politics or messaging. Trailers, culture-war framing, and release timing can push votes away from the model.