The Oracle Blind Spot: Re-adjudicating Automated Telemetry Assertions with Transport-Level Evidence

Abstract

Modern web systems rely on third-party telemetry SDKs for critical observability, yet verifying the correctness of this instrumentation often depends on automated end-to-end assertion oracles. These oracles are themselves subject to the Oracle Problem, where imperfect observation logic can produce ambiguous failure signals. We present a two-phase empirical study — retrospective analysis and prospective validation — that re-adjudicates automated telemetry assertions against raw network captures. We analyzed 82 assertion outcomes mapping to 21 distinct telemetry-event units. Of 49 recorded failures in Phase I, 37 (75.5%) were adjudicated as oracle artifacts at the assertion level (91.7% at the event level). Re-adjudication used raw network transport as transport-level reference evidence, which establishes client-side transport rather than downstream ingestion. A post-hoc counterfactual reconstruction reached an 18/18 transport-pass result after correcting observation defects. In prospective validation, a corrected oracle evaluated 32 assertions and produced no oracle artifacts on the new trace, while retaining one product-delivery-defect candidate.

Results at a glance

Version History & Editorial Reconciliation

1. Introduction

Modern web systems increasingly rely on third-party telemetry Software Development Kits (SDKs) for observability, analytics, experimentation and attribution. Engineering teams often employ automated end-to-end assertions to verify telemetry delivery. Those assertions form a measurement system that is itself subject to defects.

A failing telemetry assertion is therefore ambiguous: it may indicate an actual event-delivery failure or an artifact of the verification process. This is a domain-specific instance of the Oracle Problem in software testing — the difficulty of determining correct behavior when the observation mechanism may itself be imperfect.

2. Methods

2.1 Two-phase study design

Phase I retrospectively analyzed 82 historical assertion outcomes mapping to 21 distinct telemetry-event units. A retrospective analysis plan was frozen before systematic quantitative re-adjudication. Phase II prospectively evaluated a corrected oracle with 32 assertions on a new execution trace.

2.2 Transport-level reference evidence

An event was considered transport verified when the expected HTTP request appeared in raw Chrome DevTools Protocol captures with expected metadata and an HTTP 200/204 status. This confirms client-side transport and server acceptance at the observed endpoint. It does not establish downstream ingestion, persistence or analytics-dashboard visibility.

3. Results

The Phase I dataset comprised 82 assertions mapping to 21 unique telemetry events and produced 49 recorded assertion failures. Thirty-seven of those failures were adjudicated as oracle artifacts, giving an assertion-level OAS of 0.7551.

5. Discussion

The central result is a measurement warning: a large share of the recorded Phase I failure signal was generated by the verification mechanism rather than by observed transport failure.

Limitations

• Single-system empirical case study.
• Assertion outcomes are structurally dependent and should not be interpreted as fully independent samples.
• Transport-level reference evidence establishes observed transport, not downstream ingestion.
• The 18/18 offline counterfactual is post-hoc and is not treated as confirmatory evidence.

6. Conclusion

PR-02 found that defects in a telemetry verification oracle can dominate the apparent failure signal. In Phase I, 37 of 49 recorded assertion failures were re-adjudicated as oracle artifacts. Prospective evaluation of the corrected oracle produced no oracle artifacts across 32 assertions on a fresh trace.

Cite This Paper

To cite this research paper, use the following BibTeX entry:

@techreport{morales2026oracle,
  author      = {Manuel Enrique Morales Santiago},
  title       = {The Oracle Blind Spot: Re-adjudicating Automated Telemetry Assertions with Transport-Level Evidence},
  institution = {LatinFlash Research},
  number      = {2026-01},
  year        = {2026},
  type        = {Research Paper / Preprint},
  url         = {https://research.latinflash.com/papers/oracle-blind-spot/},
  note        = {ORCID: 0009-0007-6921-7688, Dialnet: 3123473}
}