How do I calculate the optimal indoor smart trainer resistance curve to simulate outdoor rolling resistance and wind drag accurately on Zwift?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I calculate the optimal indoor smart trainer resistance curve to simulate outdoor rolling resistance and wind drag accurately on Zwift?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Zwift trainer difficulty smart trainer resistance simulation physics rolling resistance aerodynamic drag official documentation Google ↗
cycling power equation aerodynamic drag rolling resistance coefficient reference Google ↗
- Compatible Cycling Hardware · support.zwift.com
- Rolling Resistance Changes in Zwift: Comparing Old and New Roads · zwiftinsider.com
- Introducing Climb Portal Elevation Scaling [December 2023] - Zwift Game · forums.zwift.com
- Using the “Trainer Difficulty” Setting in Zwift · zwiftinsider.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Zwift trainer difficulty smart trainer resistance simulation physics rolling resistance aerodynamic drag official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
cycling power equation aerodynamic drag rolling resistance coefficient reference OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |