The correlation-matrix design was constructed as MPI's own proposed test: by spreading potential effects across many variable pairs with no single outcome channel, it is intended to detect entanglement correlations without enabling signal transmission.

The design rationale is stated in the theorists' own words, and it binds the model to the matrix record as its self-nominated benchmark — the structural fact on which the whole case turns.

The correlation-matrix design was explicitly engineered by Lucadou to bypass the no-transmission axiom by scattering potential effects across a multitude of variables without yielding a reliable signal channel. The theorists' own writings confirm this was the intended methodological translation of their model. The strongest opposing consideration is that this experimental design simultaneously creates a massive multiple-testing problem, effectively transforming standard statistical noise into the exact jumping pattern the theory predicts.

Von Lucadou, Römer, and Walach explicitly introduce the correlation‑matrix method as a way to “make positive use of the evasion phenomenon” by registering many correlations simultaneously so that psi effects can appear as “transitory, jumping unexpected and statistically unlikely patterns in the correlation matrix,” while conceding this will never fully overcome the decline effect (MPI‑E011). Later sources and reviews consistently treat this design as MPI’s self‑nominated experimental test. The principal opposing point is methodological criticism: by predicting “jumping unexpected patterns” in a very large matrix, the design’s signature resembles what multiple testing of dependent variables produces under pure noise, so without stringent dependence‑aware analysis it is hard to distinguish the theorized entanglement correlations from ordinary statistical artifacts.

The same 2007 paper states the design rationale in so many words: register as many correlations as possible so that psi appears as transitory, jumping, unexpected patterns, while conceding this will never convince every sceptic. That makes the matrix record binding on MPI in a way generic psi results are not. The strongest opposing consideration is that a signature defined as scattered, unexpected significant cells in a large matrix is exactly what multiple testing of intercorrelated variables produces from noise, so the design risks converting the artifact into the predicted phenomenon.

The design rationale is documented in the theorists' own words: simultaneous registration of many correlations so that psi effects "show up as transitory, jumping unexpected and statistically unlikely patterns in the correlation matrix," with the advance concession that this will "never... convince every sceptic." The structural consequence matters for the whole case: the matrix experiment is MPI's self-nominated benchmark, so its replication record binds the model in a way generic psi results would not. The strongest opposing consideration is that the predicted signature is nearly isomorphic to what multiple testing produces from pure noise in an intercorrelated matrix — the design builds the multiplicity artifact in as the success criterion, which is why dependence-aware statistics are decisive for everything downstream. That objection bears on what the design can prove, not on the documented fact that this is what it was built to do.

The 2007 quotation is unambiguous about the design rationale — register as many correlations as possible so that psi appears as "transitory, jumping unexpected" patterns, with the candid concession that this will never convince every sceptic. This matters structurally: it binds the matrix record to MPI as the model's own nominated benchmark rather than an arbitrary paradigm. The strongest opposing consideration is provenance: the rationale is stated in 2007 for a design built in the 1980s, by the same three authors, with no independent attestation, so some retrospective tidying of motive cannot be excluded. That risk is small relative to the clarity and consistency of the statement across the program's later publications.

Unchanged, and mildly reinforced: MPI-E011 states the design rationale in the theorists' own words, and MPI-E012 confirms the model and its matrix method were presented as the field's answer to the repeatability problem. The paradigm is MPI's self-nominated benchmark.

MPI-E011 states the design rationale in the theorists' own words and MPI-E012 corroborates its presentation as the field's answer to the repeatability problem. This is what binds the nulls of MPI-C002 to MPI rather than to a bystander paradigm.

MPI-E011 states the design rationale in the theorists' own words, and MPI-E012 confirms the matrix method was presented as the field's answer to the repeatability problem. The paradigm is MPI's self-nominated benchmark, which is what binds the nulls to the model.

MPI-E011 states the design rationale in the theorists' own words, and MPI-E012 corroborates its presentation as the field's answer to the repeatability problem. This is the link that makes the nulls of MPI-C002 diagnostic for MPI rather than for an unrelated paradigm.

Theorists explicitly stated in print that the correlation-matrix method was designed to capture transient, jumping patterns without establishing a signal, specifically to circumvent the no-transmission axiom (MPI-E011, MPI-E012). This definitively binds the theory to the experimental paradigm's actual record. The strongest opposing consideration is that a design built to expect scattered, jumping statistical significance perfectly mimics the exact artifacts produced by multiple testing on pure noise.

The same 2007 JCS article explicitly proposes the correlation-matrix method as a way to “make positive use of the evasion phenomenon” by recording many correlations simultaneously, predicting that psi effects will appear as “transitory, jumping unexpected and statistically unlikely patterns in the correlation matrix” while never fully overcoming decline (MPI-E011). This directly supports the claim that the design was MPI’s own proposed test respecting the no-transmission constraint. The main objection is that the described signature — scattered unlikely cells in a large matrix — closely resembles what one expects from multiple testing of dependent variables, so the design’s intended selectivity may be illusory.

The same 2007 paper, at the page cited, presents simultaneous registration of many correlations as the deliberate way to "make positive use of the evasion phenomenon," so that psi appears as transitory, jumping, unexpected patterns in a matrix, and concedes in the same breath that this will never convince every sceptic. That is the design's stated rationale, not a later gloss, and it binds the matrix record to MPI as the model's own nominated test. The strongest opposing consideration is that a design which predicts scattered, unexpected significant cells is also a description of what multiple testing on intercorrelated variables produces from noise, which is why dependence-aware standards decide what the design can show.

The theorists state the rationale in their own words: register as many correlations as possible so that "psi effects will then show up as transitory, jumping unexpected and statistically unlikely patterns in the correlation matrix," while conceding in advance that this will "never" fully overcome decline or convince every sceptic. That makes the matrix corpus the model's self-nominated benchmark rather than an arbitrary paradigm, which is the structurally important consequence. The strongest opposing consideration is that the stated design signature — transitory, unexpected, scattered significant cells in a large matrix — is indistinguishable in form from what multiple testing over dependent variables yields from pure noise, so the design converts the multiplicity problem into its own predicted evidence. That objection attacks the design's evidential value, not the accuracy of this claim about its intent.

MPI-E011 gives the design rationale in the theorists' own words and MPI-E012 corroborates its presentation as the field's answer to repeatability. This is what binds the nulls of MPI-C002 to the model rather than to a bystander paradigm.

MPI-E011 states the design rationale in the theorists' own words, and MPI-E012 corroborates its presentation as the field's answer to the repeatability problem. This is the link that binds the nulls of MPI-C002 to the model rather than to a bystander paradigm.

Documented as the design's stated rationale in the theorists' own words. This matters structurally: the matrix experiments are not an arbitrary paradigm but the model's self-nominated benchmark, so their replication record is the primary evidence line for and against MPI.