Domains
4 brain · heart · grid · climate
Real transitions
30 seizures, AF onsets, instabilities, tippings
Detectors significant
0 of 10 detector-domain runs
Strongest signal anywhere
p = 0.067 classical, EEG — short of 0.05
Transitions led at a matched 10% false alarm — best SCPN member vs the classical baseline
Per domain: the best-performing SCPN suite member against the canonical
Dakos et al. 2008 AR(1)-Kendall-τ detector, both calibrated on the same nulls and
scored on the same transitions. The tick is the count expected by chance at the
detector’s own alarm rate.
best SCPN suite member
classical AR(1)-Kendall-τ (Dakos 2008)
expected by chance
What the numbers say
- Palaeoclimate: SCPN 1/6 (p = 0.51); the classical detector
0/6 (p = 1.00) — on the same class of records its own literature made famous,
at an operational matched-false-alarm threshold rather than retrospective per-record trends.
- Grid (generic observables): SCPN 3/12 (p = 0.20), classical
1/12 (p = 0.71). The domain-specific modal detector is the separate, positive
counterpoint — see the head-to-head demo.
- Cardiac: SCPN 2/6 (p = 0.22), classical 0/6 (p = 1.00).
- EEG: SCPN 2/6 (p = 0.22), classical 3/6 (p = 0.067)
— the strongest signal anywhere in the study, and still short of significance.
Why publish a negative result about our own detectors? Because the
test is the product. The same harness that demoted our generic suite — matched
false-alarm calibration, label-permutation significance, selection-controlled
surrogates, hash-sealed byte-reproducible records — is what certified the one
detector that does clear the bar, and it is what we run against any detector,
anyone’s, on their data. A certification you can trust is one that is allowed
to say no.
The sealed record
The full comparison is a committed artefact in the public repository
(examples/real_data/head_to_head_ar1_kendall/), alongside the
publication-form study
(docs/studies/early_warning_matched_false_alarm.md) and the per-domain
sealed evidence directories it draws on.
Committed artefact — SHA-256 of the record file
2c78a7308a183414…
Claim boundary (read before quoting)
- Corpora are small (6–12 transitions per domain) — low statistical power;
the honest statement is “no detector demonstrated significance here”, not
“early warning is impossible”.
- One classical competitor was implemented; the EEG corpus is single-subject.
- All operating points are matched-false-alarm calibrated; results at other
operating points may differ and would need the same protocol to claim anything.