Dataset_03 // Open Data

47 New Bicycles

Factory mechanical state · 5 failure vectors · Permanent DOI
← OPEN DATA

"New" does not mean "optimal." 47 units prove it with numbers.

A bicycle fresh out of the box arrives with a factory mechanical state that is almost never the optimal one. This dataset diagnoses 47 new bicycles (pre-use) across five failure vectors, each with its quantified impact in watts, braking distance or tolerance deviation. It is the basis of the pre-use diagnostic framework (PDI).

47
units analyzed
5
failure vectors
~40%
components out of torque
Module_01 // Sample (the 5 vectors)
Failure vectors · factory vs optimal condition · quantified impact
VectorParameterFactoryOptimalImpact
V₁ Chain lubricationPower loss at 250 W6–10 W3.4–4.0 W−2.6 to −6.6 W recoverable
V₁ Bearing lubricationKinetic μ0.05–0.100.01–0.03friction 3–5× lower
V₂ Spoke tensionVariation between adjacent±20–30%< ±10%asymmetric wear, fatigue
V₃ Hydraulic complianceStopping distance+25% vs optimalreference+1.75 m at 30 km/h
V₄ Assembly torque% out of range~40%0%micro-crack risk in carbon
V₅ Total drivetrain lossCumulative power loss7.5–13.5 W3.9–5.5 WΔ = 3.6–8.0 W recoverable

// Aggregated sample. The per-unit dataset (the 47 records with component-by-component measurement) is delivered under agreement (see access).

Module_02 // Reading
→ A new bike "loses" between 3.6 and 8.0 W recoverable in drivetrain alone, poorly lubricated from the factory. → ~40% of the bolts come out of the specified torque range — a real risk in carbon frames. → Spokes with ±20–30% tension variation: accelerated fatigue from the first month. → Braking can come out +25% longer (+1.75 m at 30 km/h) due to factory air/hydraulic compliance.
Module_03 // Reserved Method

The framework and the measurement protocols are public in the white paper with its DOI. What is not published openly is the per-unit dataset (the 47 individual records with their raw readings). We reveal the vectors and their aggregated impact; the per-unit detail is shared under agreement.

Module_04 // Record (cite this)
DATASET: 47 New Bicycles — Factory mechanical state
AUTHOR: Carlos Eduardo Ravello Joo · ORCID 0009-0007-5631-7436
Permanent DOI: 10.5281/zenodo.20735169
White paper: New Bicycle Mechanical State — PDI Framework
Indexed: Zenodo · OpenAIRE · DataCite · License CC BY 4.0
Module_05 // Limitations and Access

The sample (47 units) is illustrative of the population of new mid/high-range bicycles; it does not claim population-level statistical validity but rather to quantify real vectors. It allows expansion with more units. Provisional by design.

Need the per-unit dataset, a PDI on your batch or to validate your line before distributing? It is delivered under agreement from the Independent Laboratory · carlos.ravello@zoovettravel.com

© 2026 BikeLab Studio. Content under CC BY 4.0: you may copy, translate and publish it, even for commercial purposes. Citation is mandatory. Without attribution, the license terminates automatically (CC BY 4.0, §6.a) and the use becomes copyright infringement: we request the removal of the content and its deindexing. · Design and ownership: Carlos Ravello Joo

BikeLab Studio · Open Data / 47 New Bicycles / Carlos Eduardo Ravello Joo · ORCID 0009-0007-5631-7436 · Trujillo, Peru