One fixed response to meaning loss may govern cultural reconstruction and choice
In online narrative or instruction tasks, a response law calibrated on reconstruction may predict choice and retelling from fixed meaning errors and production costs. Reject the one-family claim if matched tests retain an independent causal response; a flexible model fitted after failure cannot rescue it.
Stage of verification
- Hypothesis published2026-10-05
- Indirect evidenceAssessed at 4 of 10
- Direct testAwaited
Map of the hypothesis
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Kind of knowledge gap
Target map
Every target of every published hypothesis, each with the actions a hypothesis can propose on it. The targets and the actions of this hypothesis are drawn solid.
Scale or classification
Cultural transmission mechanism classification
Classification of cultural transmission mechanisms into causally distinct families
Where this hypothesis actsA bounded panel of held-out cultural transmission experiments with matched loss and source information
Hypotheses on this target 9
Telling states apart9
Direct measurement
Indicator replacement
What is proposed
Telling states apart
Determine whether selection and reconstruction constitute one causal hypothesis family
With whatInstrument or assay
HowCalibrate beta on isolated reconstruction trials, predict held-out choices without refitting, and experimentally remove the source-loss dependency
Possible result
Possible support for one family if the shared law predicts every held-out block and dependency removal causes failure
From the recordSelection and reconstruction are two observations of U, so S={R,S} overcounts
All targets of the lab
Every target read from the published hypotheses, each kind around its pictogram. A larger mark means more hypotheses act on that target. Point at a mark and the actions proposed on it branch out of it.
Solid and named: the targets of this hypothesis
Explore in depth
The logic
The train of thought that ends in this hypothesis. Each stage is the reason the next exists. The master question narrows to a goal, the goal to an unknown nobody has closed, the unknown to the hypothesis proposed here. Every step below says what it rests on and what carries it.
Stories can change when people retell them and spread when people choose one version over another. The unexpected move is to propose that these two activities obey the same numerical rule, fixed before either is compared across new conditions. This is a hypothesis generated by the pipeline, not a measured result: its claim is that one rule could suffice within a specified collection of experiments.
- A supplied source and a measured task determine which candidate outputs are available.
- An independently specified scoring rule assigns each output a loss for meaning or functional error plus production effort.
- One sensitivity setting, estimated on isolated reconstruction trials, converts differences in loss into differences in output probability.
- The same setting governs both retelling a source and choosing among supplied versions, without a separate setting for choice.
- Reversing which outputs carry the larger functional penalty reverses both predicted preferences and predicted changes in meaning by specified amounts.
- Known delivery rules change opportunities to encounter versions; any remaining independent response to prestige, surrounding variants, overlapping updates or processing-stage interventions defeats the one-rule claim.
A single scoring card could determine both how someone rewrites a shopping list and which ready-made list they pick. The claim is that the same points and the same willingness to avoid penalties govern both decisions, even when the prices on the card are reversed.
Where the picture breaks: Meaning and effort do not come with public price tags. The research must establish their scores independently; the picture does not show that the same scores or the same sensitivity actually govern retelling and choosing.
- Master questionstep 01 of 04
Cultural information passes between people, changes along the way, competes with alternatives and sometimes lasts. The goal is to find new explanations of these processes that experiments could disprove, while checking whether apparently new explanations already exist under other names. The requested research agenda must keep distinct how many people encounter something, how faithfully it is copied, how its meaning changes, whether it is adopted and whether it persists. It must compare competing explanations and distinguish initial affordable tests from the stronger evidence needed for general claims.
Rests on: The stated goal seeks approximately five promising families of explanations, with explicit mechanisms, contrasting predictions, controls and observations that would disprove them. The number is a research target, rather than an established fact about how culture works.
Stated in the chain - Goal pillarstep 02 of 04
Approximately five proposed families must be identified and their evidence assessed, with established explanations distinguished from new conjectures.
Rests on: The master question explicitly requests a shortlist of approximately five families and an assessment of what existing primary evidence actually establishes.
Stated in the chain - Gap questionstep 03 of 04
The number of genuinely distinct explanations is to depend on what remains necessary to predict experiments reserved for testing, rather than on how many names can be assigned. Explanations that make equivalent predictions are merged; a retained causal dependency, meaning a way one condition changes an outcome, must survive a test that deliberately removes it.
Rests on: The preceding demand to identify distinct families and assess their evidence supplies the reason for checking whether separate names describe separate causes. The master question also requires competing predictions, manipulations and falsifying results; this stage turns those requirements into a question about how many explanations are necessary.
Stated in the chain - Hypothesisstep 04 of 04
One fixed numerical rule is proposed to cover both reconstruction, the creation of a descendant version from a source, and selection, the choice between versions already available. Each permitted output receives an independently specified loss, meaning a combined score for meaning or functional error and production effort in common units. Outputs with greater loss are predicted to be less likely according to the same mathematical relationship in both activities. The rule has one sensitivity setting, called beta, that determines how strongly loss changes output probabilities. Calibration, the initial estimation of that setting, takes place on isolated trials for each kind of producer, such as humans or an artificial intelligence system. The setting must then remain fixed when predicting choices, retellings and changes in how often sources are presented. Human and artificial intelligence producers need not share the same numerical setting. The proposal allows known delivery rules and measured chances to encounter or produce a version as inputs. It forbids adding separately adjustable effects for source prestige, meaning the standing attributed to a source, conformity, meaning a preference for what others favor, partner history or feed labels to rescue failed predictions. It also predicts that surrounding variants, overlapping updates to shared meanings and separately disrupted processing stages add no remaining predictive benefit once the specified loss, source information and opportunities are matched. The claim concerns the supplied, bounded collection of tasks. Its argument against needing no response rule at all depends on source availability and reversed task penalties producing reproducible changes in descendant versions and adoption; the supplied material reports no measurements establishing those changes.
Rests on: The gap question makes the smallest adequate set depend on prediction and deliberate removal of dependencies. This candidate supplies a particularly restrictive answer: tie reconstruction and selection to one calibrated relationship, and reject the one-rule account if any independent response remains necessary. The stated basis is a proposed mathematical constraint and a way to test it, rather than an observed equality between the two activities.
Stated in the chain
What is carried, and what is not. No screened sources are supplied, so none of the six proposed mechanism links has literature support documented in this input. The individual links are specified through a loss score, a probability rule and experimental restrictions, but no supplied result establishes either their empirical accuracy or the sequence as a whole.
How a result here could mislead · 3
- A flexible error-and-effort score could make separate responses appear to obey one rule. If an unexplained preference is relabeled as an unmeasured personal cost after the result is known, the apparent success no longer tests the proposed fixed relationship. What closes it: The candidate outputs, scoring units and loss differences must be specified independently, and the sensitivity setting must be fixed from isolated reconstruction trials. Choice-specific settings and adjustments to unmeasured subjective value after failure are prohibited by the proposal. For two outputs, the predicted log odds—the logarithm of the ratio of their probabilities—must equal minus the fixed sensitivity multiplied by their loss difference.
- Changes in exposure, mistakes unrelated to the task or changes in how meaning is coded could be mistaken for a failure of the common response rule. Conversely, a coding procedure could hide a real difference between retelling and choice; the supplied rivals explicitly include this measurement explanation. What closes it: The design calls for matched evidence and candidate menus, checks of task understanding, and separate estimates of lapse rates, meaning the frequency of responses arising from occasional task-independent mistakes, and opportunity rates, meaning how often relevant encounter or response opportunities occur. A test separating the measurement rival also requires validation of meaning codes on material with known origin and meaning, with the coding process unaware of experimental condition; the endpoint does not itself supply that validation.
- An imprecise absence of a difference could be mistaken for evidence that one family is sufficient. Agreement in a simple choice task could also be extended to surrounding-variant, overlapping-update or processing-stage challenges that have not actually been tested. What closes it: Equivalence margins, the largest discrepancies accepted as practically consistent with the prediction, must be fixed before observing the results, and uncertainty must be small enough to judge them. The supplied prediction names margins but gives no numerical values. Every claimed reserved test block must be predicted without refitting, including reversed penalties and the named competing dependencies; removing the proposed source-and-loss dependency must also produce a failure beyond the relevant margin.
What would make this wrong. The one-rule claim fails if, under matched independently specified loss, knowledge and opportunities, choices and reconstructions reproducibly require different sensitivity settings or change independently in ways the fixed rule cannot predict within the prespecified margins. It also fails if an independently validated effect of surrounding variants, overlapping updates or a disrupted processing stage remains necessary for reserved predictions after the permitted inputs are accounted for. Success by an unrestricted rule with separate adjustable responses would not rescue this particular hypothesis. If removing the proposed source-and-loss dependency produces no reproducible change, the claim that even this one family is necessary would also lack its required support.
What it would change. If the fixed rule predicted every reserved test and survived the competing explanations, the research agenda would count reconstruction and selection as two expressions of one response law within this experimental panel. Separate mechanism families would then need evidence of an additional necessary causal dependency, rather than merely a different name or task. Even success would not establish one law for open-ended storytelling, naturally occurring online communities or long-term cultural persistence, and the supplied material contains no literature assessment establishing that this rule is scientifically new.
The gap this hypothesis explains
Nothing is known here: the question has not been asked of this system.
How many explanations predict new cultural transmission experiments after equivalent explanations merge and each claimed causal link is removed?
Original wording · exactly as the pipeline generated it
How many causally distinct hypothesis families remain necessary to predict held-out cultural transmission experiments once equivalent mechanisms are merged and each retained dependency is experimentally removed?
What this question is asking
The question concerns how many genuinely different explanations are needed for the way stories, images and practices spread, change, compete and last. It asks for a count after explanations that make the same relevant predictions under experimental changes have been grouped together, and after each remaining explanation has been challenged by removing a relationship it says produces an effect. The remaining groups must help predict results from experiments that were kept separate when the explanations were chosen; the comparison is whether a smaller grouping predicts those results adequately or whether distinct groups are still needed. The supplied gap description treats approximately five groups as a possibility to assess, while assuming that the named existing methods do not already establish the count. It asks for the count when the shortlist is finalized, including an explicit range or unresolved grouping if the evidence cannot distinguish a single answer.
- Cultural transmission
- The passing of learned information or practices between people, including stories, images and customs. Here the question also concerns changes to that material, competition among alternatives and how long material remains in use.
- Cultural item or transmitted unit
- The thing treated as being passed along, such as a particular image, a story version or a practice. Its boundaries are a choice made for measurement rather than necessarily a naturally separate object; changing those boundaries can change what is counted as copying or change.
- Hypothesis family or group of explanations
- A collection of proposed explanations treated as sharing the relevant causal account. Here a family is a grouping to be assessed, not a category whose independence is established merely by giving it a name.
- Causal link, causal relationship or dependency
- A relationship in which one feature helps produce another, rather than merely appearing alongside it. Removing a claimed link means changing the conditions so that this proposed contribution cannot operate, then assessing what follows.
- Mechanism
- The sequence of processes through which a proposed cause produces an outcome. Different descriptions of a mechanism do not automatically establish different causes.
- Experimental equivalence
- Treating explanations as equivalent because the relevant experimental comparisons do not distinguish their predictions. Such equivalence concerns the assessed changes and outcomes; it need not mean that the explanations are identical in every possible setting.
- Held-out or reserved experiments
- Experiments whose results are kept separate from the process used to select or arrange explanations. In this question, predicting their results assesses whether the proposed grouping works beyond the evidence used to construct it.
- Irreducible family count
- The number of groups of explanations that cannot be further combined or discarded while retaining the predictive performance required for the assessed comparisons. The term expresses a requirement relative to those comparisons and the rule for acceptable prediction, not proof of an absolute number for all culture.
- Unit-sensitivity methods
- Methods for checking whether conclusions change when the cultural item being counted or followed is defined differently. The input names these methods but gives no procedure or findings.
- RL-2
- An unexplained label in the supplied gap description, associated there with equivalence and unit-sensitivity methods. No expansion, definition or supporting source is supplied, so its meaning cannot be established more precisely.
- Shortlist freeze
- The point when the selected set of explanations is finalized for the report. The requested family count is to describe the evidence available at that point.
- Partition uncertainty
- Uncertainty about how proposed explanations should be divided into groups. Different defensible groupings may imply different counts, and uncertainty can concern group membership even when the counts agree.
- Consolidation and subdivision
- Consolidation combines proposed groups into fewer groups; subdivision splits a proposed group into more groups. Here those changes depend on whether experimental comparisons justify treating the explanations together or separately.
- Prediction and predictive performance
- A prediction is a stated expectation about a result; predictive performance is how closely that expectation matches the observed result. The input does not supply the rule for how close a match must be to retain or merge groups.
- Outcome
- The feature of cultural transmission that is measured. How widely material is seen, how accurately it is copied, how its meaning changes, whether it is taken up and how long it lasts are separate outcomes, so a grouping supported for one need not be established for all.
- Screened sources
- The publications or other records supplied as having been assessed for their bearing on the question, together with their quoted evidence and limitations. This task supplies none, so no reported literature findings can be attributed to them.
RL-2 equivalence and unit-sensitivity methods do not supply a measured number of irreducible hypothesis families.
The description names a set of methods for deciding when explanations count as equivalent and for checking whether conclusions change with the definition of the cultural item being tracked, but it supplies no account of those methods or their results. It assumes that they have not measured how many distinct groups of explanations must remain to predict the experiments. If that assumption held, establishing the count would still be unfinished work rather than a result already supplied by those methods.
No screened sources were supplied, so the assertion about what the named methods establish cannot be checked against any read literature. The input does not define RL-2, document an experimental comparison, or provide a measured count. Approximately five is a proposed shortlist size to assess, not an established finding in the supplied material; the absence of supplied sources establishes neither that the count is unknown in the literature nor that any particular count is correct.
The same question asked without the part nothing read establishes:
- What count or range of distinct explanations is supported for predicting cultural transmission experiments kept separate from selection, after equivalent explanations are grouped and each proposed causal relationship is tested by removing it?
- Do those experimental comparisons support approximately five groups of explanations, fewer groups, more groups, or several groupings that remain indistinguishable?
- Approximately five groups remain necessary If approximately five groups each contribute a needed prediction after equivalent explanations are merged and their claimed causal links are challenged, a shortlist of that size would reflect the assessed evidence. Its size would describe the tested cultural items, conditions and outcomes; it would not by itself establish five universal causes of cultural transmission.
- Fewer groups are needed If merging proposed groups preserves predictions, or removing a claimed causal link exposes no need for a separate group, the original shortlist would contain distinctions not required by those comparisons. Counting those distinctions as separate explanations would overstate how many different accounts the assessed evidence supports.
- More groups are needed If a proposed group combines explanations that respond differently when their claimed causes are removed, and keeping them separate is needed to predict the reserved experiments, that group would require subdivision. A fixed shortlist of approximately five would then conceal distinctions needed to account for the assessed results.
- The count remains unresolved If several groupings predict the assessed experiments comparably, or the effects of removing claimed causes remain uncertain, the comparisons would not select one count. A range or several possible groupings would describe that uncertainty, whereas a single number would imply a distinction the evidence had not established.
Grouping explanations determines what is counted as a separate account of cultural change. If two explanations describe the same cause and make the same relevant predictions, counting both can make a research shortlist appear more varied than it is. If two explanations depend on different causes, merging them can conceal why removing one cause changes a result while removing another does not. Predicting experiments kept separate from the selection process connects the grouping to explanatory performance beyond the results used to construct it. Treating five as an established count could therefore either preserve duplicate explanations or discard necessary distinctions; an unresolved count would limit how firmly the shortlist could be described.
RL-2 equivalence and unit-sensitivity methods do not supply a measured number of irreducible hypothesis families.
At shortlist freeze, report the actual family count after experimental equivalence decisions, with unresolved partition uncertainty explicit.
Determine whether approximately five distinct families are supported, or whether interventions require consolidation, subdivision or an unresolved count range.
The mechanism it proposes
The engine's own statement of the hypothesis, in full.
HERETICAL CANDIDATE SET: S1={U, a single transferable semantic-loss response law}; proposed minimum K=1. U jointly predicts within-source reconstruction and selection between supplied variants, rather than giving them independently adjustable response laws. For a finite, preregistered candidate-output set, P_U(y|x,c)=exp[-beta L(y,x,c)]/sum_z exp[-beta L(z,x,c)]. Here x is the available source, c the measured task/context, L is an independently specified semantic/function error plus production cost in common calibrated units, and beta is calibrated once per producer type on nonsocial trials. The same beta and loss differences must predict later between-variant choices, retellings and responses to source-frequency interventions; no free prestige, conformity, partner-history or feed-label coefficient can be added. Known delivery policy and measured opportunities enter as experimental inputs, not as an invented second cultural response law. The strong claim is cross-operation invariance, not that any arbitrarily flexible Bayesian program counts as one family. Selection and reconstruction are two observations of U, so S={R,S} overcounts; ecology, collective concurrency and kinetic intermediate dependencies add no held-out predictive benefit once the independently measured loss and source information are matched. Zero families are insufficient because randomized source availability and task-loss reversal cause reproducible nonzero descendant and adoption responses. The common-law count is limited to this bounded panel and would be rejected rather than universalized if one independent causal response remains.
Testing and possible results
The prediction that would tell it apart
A hypothesis that predicts what its rivals predict is not worth running an experiment over. This is the observation on which this one differs.
Calibrate beta only on isolated reconstruction trials, then predict the log-odds difference for choosing variants a versus b: log[P(a)/P(b)]=-beta[L(a)-L(b)]. In the same people, a randomized reversal of the independently specified functional loss must reverse both choice preference and semantic transformation in the quantitatively predicted amount, within epsilon_2 and epsilon_4, without fitting a choice-specific beta. Source prestige/frequency, third-party modifier and concurrent-update contrasts have residuals within their equivalence margins after the specified loss, knowledge and opportunities are matched. S1 is the minimal set only if this cross-operation restriction predicts every held-out block and removal of the single source-loss dependency causes out-of-margin failure. A reproducible choice-versus-reconstruction double dissociation at matched loss, or a genuine moderator/concurrency/kinetic residual, falsifies K=1 in favor of a split answer. If an unrestricted single kernel succeeds but this tied law fails, that does not support S1: it is relabeling a composition.
Would tell it apart from at least one rival. The prediction specifies a quantitative choice relationship, a directional reversal with equivalence tolerances, and an explicit falsifying outcome. No rival prediction is supplied, so separation cannot be assessed. A paper already fetched for this hypothesis bears on it.
What testing it would take
The engine's own read on whether this is testable with methods that already exist.
An online task can give experimentally known functions and loss schedules to novel narratives or instructions, with identical candidate outputs used for reconstruction and choice. Pilot whether participants understand the task; separately estimate lapse and opportunity rates. AI and humans receive matched evidence and candidate menus, but a shared numerical beta across substrates is not assumed. Generalization within each producer type is the strong precommitted claim; unmeasured subjective utility cannot be fitted after failure to save it.
Other explanations
Every other hypothesis the engine wrote for the same gap, and the observation that would separate the two.
Calibrate beta only on isolated reconstruction trials, then predict the log-odds difference for choosing variants a versus b: log[P(a)/P(b)]=-beta[L(a)-L(b)]. In the same people, a randomized reversal of the independently specified functional loss must reverse both choice preference and semantic transformation in the quantitatively predicted amount, within epsilon_2 and epsilon_4, without fitting a choice-specific beta. Source prestige/frequency, third-party modifier and concurrent-update contrasts have residuals within their equivalence margins after the specified loss, knowledge and opportunities are matched. S1 is the minimal set only if this cross-operation restriction predicts every held-out block and removal of the single source-loss dependency causes out-of-margin failure. A reproducible choice-versus-reconstruction double dissociation at matched loss, or a genuine moderator/concurrency/kinetic residual, falsifies K=1 in favor of a split answer. If an unrestricted single kernel succeeds but this tied law fails, that does not support S1: it is relabeling a composition.
- What would separate them
A third cultural variant may change how competing variants are reconstructed predicts: Measure lower-order source/competitor conditions first and freeze both the actual nonlinear R+S composition and its mixture-selection, causal-source-inference and complementary-information extensions. In held-out communities present the focal source i, competitor j and a third modifier k, keeping the focal producer's dose, selected parent, semantic facts and payoff constant. Change k's contextual relation to the i-versus-j contrast while preserving its surface salience and factual information; include independent-production and fixed-artifact-choice controls. Let D_M be the observed third-party change in the i-to-descendant semantic transition minus the prediction of the strongest calibrated established composition. S3 predicts |D_M|>epsilon_4, a prespecified direction for a given trained modifier relation, and loss of this residual when that relation is experimentally severed; restoring the relation rescues it in new source families. Fixed-artifact choice can show ordinary context effects without establishing M. The R and S removals separately impair source-specific feature transmission and fixed-variant selection, respectively, establishing the other two required dependencies. If the nonlinear established composition predicts D_M within margins, or if M survives only under one semantic meter, remove M as a distinct family and consolidate to the appropriate known R/S explanation. A significant three-way coefficient alone is expressly insufficient.
- What would separate them
Condition-dependent scoring may create false extra families of cultural transmission predicts: Randomize the semantic coding pipeline on the same fully logged outputs, including meaning-reversed high-overlap pairs and meaning-preserved low-overlap pairs. Before calibration, the fitted family partition changes with coder and unit boundaries. After independent calibration of C_a and behavioral comprehension/enactment validation, the proposed modifier, concurrency and stage-split residuals all lie within epsilon_o and their added held-out predictive gain within eta_o; the source-removal versus fixed-variant-choice double dissociation persists, requiring exactly R and S. The one-law tie is rejected by a replicated difference between the reconstruction-calibrated and choice-calibrated response slopes. This is evidence for K=2 only with adequately powered equivalence and successful manipulation checks, not because a larger model has nonsignificant coefficients. A modifier or group-protocol residual that remains in behavioral outcomes, survives independent human rubrics and is selectively abolished by its own dependency removal falsifies the observation-channel account in favor of a larger candidate set. If the scoring effect is real but a biological/cultural residual remains too, S2 is not sufficient.
- Rival 03 of 04What would separate them
Overlapping updates may transmit conflicting cultural rules despite accurate individual recall predicts: Run small communities learning an artificial reference system with two initially compatible rules. In an asynchronous arm two producers read the same earlier public version and issue individually valid but jointly incompatible updates; in a serialized arm the second update is produced after reading the first. Match numbers of messages, total time, word content available at final test, partner mix, payoff and aggregate feedback. A replay arm gives the identical final corpus to new individuals without joint updating; a yoked-delay arm controls staleness and recency. Fit ordinary CHAI-like partner learning, sequential priming, rule learning and allocator memory on matched histories before the test. Define D_C as the excess rate of jointly inconsistent but individually accurately recalled rule pairs over that full established composition. S4 predicts D_C>epsilon_4 specifically when overlapping writes target a shared rule, disappearance when the shared-update dependency is serialized or made nonconflicting, and rescue when conflict is reintroduced; the effect must persist beyond a mere last-item recall error. Independently resetting partner history while retaining a coherent shared record removes H's familiar-to-new-partner transfer, demonstrating H is also needed. Removing source access or choice feedback establishes R and S. If all C effects are predicted by established partner learning plus visible history and recency, delete C and reduce the proposed four-family answer; if H also merges with R under the panel, reduce again. The group label does not earn a family by itself.
- What would separate them
Cultural transmission may require six distinct pathways that cannot be merged predicts: Use an intervention-and-rescue panel with timed, information-matched controls: E, move the same organizing context from before to after source presentation; U, add a retrieval-context cue after equal encoding; I, scramble the cross-source relation while preserving the same component facts and recall; A, swap experimentally known recipient knowledge while keeping the source and private recognition fixed; S, perturb choice information on fixed unchanged artifacts with exposure matched; F, reset versus preserve a logged allocator state and compare with exact exposure-history replay. Each full nonlinear model predicts the result of all removals before observing their held-out combination. Let Delta_f,o be the difference between the observed held-out effect of removal f and the best model in which f is merged into its nearest component. S6 predicts an out-of-margin Delta_f,o for every f on its prespecified primary outcome, successful mediator validation, and selective rescue; no five-family merge predicts all six. In contrast, no extra residual for the ecology modifier or concurrent-update dependency remains after these six established pathways and their calibrated compositions are included. If a single source-state model predicts both E and U removals and rescue, merge them; if I is explained by complementary facts or ordinary hierarchical reconstruction, merge I; if a logged exposure process fully explains F without an independent adaptive-state effect, merge F with S. Any such successful equivalence refutes exactly K=6 and narrows the admissible count downward. This must be tested with the actual nonlinear models, not a rank-six response matrix.
Why this is not the mainstream account
The engine is asked to say what its hypothesis would overturn and what would surprise a specialist. This is its answer.
Acerbi and Stubbersfield (2023), PNAS 120, e2313790120, https://doi.org/10.1073/pnas.2313790120: their five preregistered ChatGPT-3 summarization studies reproduced several directions of human content biases. This is a concrete anchor for asking whether apparently different processes share a predictive response law, NOT evidence of equality of mechanisms, coefficients or causal effects. The paper also reports differences, including the timing of stereotype-consistent retention; these are counterpressure on U and must not be suppressed.
Cultural microevolution: Boyd and Richerson's Culture and the Evolutionary Process, chapter 'Biased Transmission and the Sociobiology Debate' (publisher table of contents: https://press.uchicago.edu/ucp/books/book/chicago/C/bo5970597.html). Independent transmission-bias terms would cease to be independently necessary in the declared experimental domain. This does not claim that the book denies cognition or that a bounded result overturns all cultural evolution.
A beta learned solely from isolated reconstruction predicts, without source-specific fitting, held-out prestige/frequency choice shifts and adoption responses as well as retelling changes; subsequent source-bias and partner-history interventions add no independent causal term within calibrated margins. The surprise is that multiple experimentally manipulated biases are quantitatively determined by one independently measured loss law, not simply that the fitted one-factor model is parsimonious.
A bounded source check found established cultural-attraction, biased-transformation and rational-inference accounts, so 'all culture is reconstruction' is explicitly NOT the heresy. The candidate is the much stronger parameter-tied cross-operation equality using independently fixed losses, with zero residual source-frequency or partner-history term. No inspected source asserts that equality across these interventions. A search cannot prove that no review anywhere proposes it; heretical/novel status is provisional and must be withdrawn if an exact antecedent is found. The substantive risky equality remains testable either way.
What stands behind it
Which of the figures above have a study behind them, which are the engine's own, and what it would take to refute the hypothesis. This audit never judges the idea.
This hypothesis states no figure and cites no study, so there is nothing here to trace.
What it would take to refute it. 1 paper(s) already retrieved for this hypothesis carry its prediction’s terms. Reading them comes before running anything. Already retrieved: Enteric glia as a source of neural progenitors in adult zebrafish..
1 paper retrieved around this hypothesis
- Enteric glia as a source of neural progenitors in adult zebrafish.PMID 32851974 · full_text · 182,394 characters stored
0 citation handles extracted; 1 Europe PMC search run; 1 records examined; 1 sources stored for enrichment, 1 with full text. A citation that did not resolve is a bibliographic failure, not proof that no such paper exists, and no hypothesis is blocked by this audit.