Perialetheia

We publish what we measured, the uncertainty on it, and what we have not measured.

Perialetheia applies formal measurement science - the International Vocabulary of Metrology, the GUM uncertainty framework, and ISO/IEC 17025 - to belief displacement in the information environment. Every figure here is traceable to a named source. Every quantity we have not yet evaluated is stated as unevaluated rather than omitted.

Framework
CWIMF
Measurands
BDI · NCS · CAV · ISRG
Reference standard
VFRB
Host institution
Faculty of Technical Sciences, Novi Sad
Orientation · for readers new to the laboratory

What this laboratory is

Two ideas underlie everything here. One is a framework for treating belief as a measured quantity; the other is the laboratory that applies it. Neither requires prior familiarity with metrology or with information conflict.

CWIMF - the measurement framework

The Cognitive Warfare Information Metrology Framework treats a claim circulating in the information environment the way a laboratory treats any measurand. A proposition is anchored to a verified truth value; the prevalence of belief in it is measured against that anchor; and the result is reported with a full uncertainty budget in the sense of the Guide to the Expression of Uncertainty in Measurement (GUM). The central quantity is belief displacement: how far a population’s belief sits from what the verified evidence supports. Displacement is reported the way any measurement is, with a stated coverage interval and an explicit account of what has not been evaluated. The framework borrows its discipline directly from formal metrology - the International Vocabulary of Metrology (VIM), the GUM, and the laboratory-competence standard ISO/IEC 17025 - so that a figure about belief carries the same traceability a calibration certificate does.

CWIAL - the laboratory

Perialetheia is a Cognitive Warfare Information Analysis Laboratory: the first working instance (No. 1) that applies the framework to real cases. Where CWIMF is the method written down, CWIAL is the bench on which measurements are actually made — references verified, instruments calibrated, and reports issued clause by clause under an ISO/IEC 17025 structure. Each monthly report re-audits one contested figure from the public record and states what can, and what cannot yet, be measured from it.

Belief displacement
The signed distance between measured belief and the belief the verified evidence would support. The laboratory’s primary measurand.
Verified reference
A proposition with a stated truth value and a documented source chain. Every measurement is referred to one.
Uncertainty budget
The itemised account of every source of doubt in a figure, combined per GUM. No result is published without one.
Declared gaps
Quantities the record cannot yet support are stated as unmeasured - never omitted, never estimated.

The name Perialetheia joins peri‑ (around, concerning) with alētheia (truth, literally un‑concealment). The laboratory measures how belief stands in relation to what is verified, and treats every gap in that relation as something to be declared rather than hidden.

§7.8 — Reporting of results · Monthly report No. 1

GM food safety beliefs in Europe

A measurement error in the public record, and one anchor measurement that survives it.

Report series
  1. No. 1 GM food safety beliefs in Europe current
  2. No. 2 Belief displacement in the Brexit referendum record in preparation
Principal finding

The widely cited collapse in European concern about GM food — from 63% (2005) to 27% (2019) — spans an undocumented change of survey instrument. On the instrument used in 2005 and 2010, the readings were 63% and 66%: essentially unchanged. The 2019 and 2022 waves switched to a different question format that mechanically lowers every item on the list. No part of the apparent decline can be attributed to belief change until the two formats are harmonised. In metrological terms, an uncharacterised change in the measuring instrument was read as a change in the measurand.

Tested claim — proposition F
“Consuming approved GM food is dangerous to human health.”
Verified true value V(F) = FALSE · VFRB tier 1
The World Health Organization, the EFSA GMO Panel, and the US National Academies of Sciences, Engineering and Medicine (2016 review) each conclude that approved GM foods on the market present no greater risk to human health than their conventional counterparts.
Health-agreement item Concern-rating item Selection-from-list item
0% 20% 40% 60% 80% INSTRUMENT CHANGED rating scale → selection from 15 63% 66% 59% 27% pending 2005 2010 2019 2022
Published Eurobarometer readings, grouped by the instrument that produced them. Readings from different formats are not on a common scale and are not joined.
Source record
WaveQuestion formatReadingnBloc
EB 64.3 (2005)Concern rating — GM ingredients63%~25,000B
EFSA wave (2010)Concern rating — GM ingredients66%26,691B
EB 73.1 (2010)Health agreement — “not safe for you and your family”59%31,238A
Special EB (2019)Selection from 15-item concern list27%27,655C
Special EB (2022)Selection from 15-item concern listpending26,509C

Anchor measurement

One wave asks directly about health safety and therefore maps onto proposition F without a bridging assumption. It is the only wave from which a belief displacement can currently be computed.

0 · aligned with truth +1 Type B not evaluated — interval undefined BDI = +0.59
The Type A uncertainty on this reading is 0.004 — narrower than the marker itself. The dashed region is not a confidence interval. It marks the absence of one.
Belief prevalence p — EB 73.1, 2010
0.59
Aligned prevalence p⁰, where V(F) = FALSE
0
BDI = p − p⁰
+0.59
Type A uncertainty uA (Deff = 1.8, declared)
0.004
Type B components uB1…uB5
not evaluated
Expanded uncertainty U (k = 2)

Source: Gaskell et al., Europeans and Biotechnology in 2010, Eurobarometer 73.1, n = 31,238. Topic awareness 84%. The design effect is a declared assumption, not a measured value.

Not yet measured — and therefore not stated
Type B components for this survey series
Combined and expanded uncertainty
Harmonisation term across the 2010→2019 format change
Cognitive Attack Velocity
Minimum detectable displacement
Projected time to threshold
Per-country breakdowns and the 1996 and 1999 waves

These quantities require the full empirical study now in preparation. A number stated before it is measured is not a measurement, and this laboratory does not publish one.

§7.2 — Selection and validation of methods

How a measurement is made

Five stages, in order. Each one has to complete before the next is meaningful.

  1. Anchor the claimMatch the claim to a Verified Factual Reference Base entry: a proposition with a stated truth value, a documented source chain of at least three independent Grade I–II sources, and a re-verification date.
  2. Define the population and the instrumentState exactly who is being measured and with what. A survey question format is an instrument; changing it changes the reading. This is where most published trend claims fail.
  3. Compute the displacementBelief prevalence minus the prevalence that would align with the verified truth. For a verified-false proposition this is the prevalence itself.
  4. Build the uncertainty budgetType A from the sampling. Type B for reference classification risk, instrument bias, temporal mismatch, representativeness, and adversarial adaptation. Combine per GUM.
  5. Report, including the gapsAn ISO/IEC 17025 clause 7.8 report: measurand, reference, method, budget, result with coverage factor, detection capability, and an explicit statement of what was not evaluated.
Publications

The method, written down

M. Urekar · Faculty of Technical Sciences, University of Novi Sad · ORCID 0000-0002-6089-9148

This is the only work published to date. Further papers — the framework specification, the laboratory information-integrity study, and the empirical re-audits behind these monthly reports — will be listed here as each is published.

Participation

Working with the laboratory

No prior expertise in cognitive warfare is required. The measurement discipline is learnable; the willingness to state what you do not know is the harder part.

The laboratory is not running a public call at this time. Involvement is arranged in person, case by case, with contributors who want to apply the measurement discipline to a documented case, curate and verify references, or help calibrate the instruments the method depends on. If that interests you, get in touch directly.

Interested in contributing?
Marjan Urekar · Faculty of Technical Sciences, University of Novi Sad

urekarm@uns.ac.rs