Inherited defaults may sustain traditions when people reinstall them for successors
In shared naming or document tasks, inheriting a default may encourage people to set it again for successors, even with their own output fixed. Reject a distinct mechanism if default bias and carried-over settings explain all outcomes, or its benefit vanishes with effort and authority cues matched.
Stage of verification
- Hypothesis published2026-10-05
- Not enough research data
- Direct testAwaited
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.

Rhythm or programme
Default-preserving meta-choice
A process in which inheriting a default changes the probability of reinstalling it for another person
Where this hypothesis actsFresh participants in a shared naming or document-making task after relay and recommender memory interruption
Hypotheses on this target 1
Inhibition
Activation
Function preservation
Feedback restoration
Rhythm restoration
Direct measurement1

What is proposed
Direct measurement
Measure whether inherited defaults causally increase their reinstallation for successors
With whatChange of environment or regimen
HowRandomize inherited, erased or independently assigned defaults and separately assign current output; match alternatives, confirmation costs and authority cues
Possible result
Possible excess of actively authored focal descendants sustained by inherited defaults through fresh cohorts
From the recordThe distinctive candidate dependency is default-preserving meta-choice: having inherited a default changes the probability of reinstalling it for another person
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
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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.
A tradition might survive because people keep arranging the next person’s choice, even when they barely endorse the tradition themselves. The unexpected move is to treat the preselected option in a shared document as something people actively reproduce for successors after older delivery routes are interrupted. This is a hypothesis generated by the pipeline, not a measured result: its distinctive claim concerns passing on the arrangement of a choice as well as making the choice.
- A participant leaves a chosen convention preselected in the shared artifact for a successor.
- A fresh recipient encounters that preselection and must actively confirm a current choice.
- Inheriting the preselection is proposed to increase its reinstallation for another person, even when the recipient’s current output is held fixed by assignment.
- After the original forwarding route and learned recommendation state are interrupted, continuation is proposed to shift to successive people actively renewing the artifact’s preselection.
- Each renewed field reaches another fresh recipient, potentially maintaining newly authored descendants despite weak private endorsement.
A shared shopping list arrives with one item already circled. The unusual claim is that receiving the circle makes someone more likely to circle that item on the next household’s list, even when everyone has been assigned the same purchase.
Where the picture breaks: A circle can be copied mechanically or accepted as someone’s recommendation. The proposed cultural process requires a fresh, recorded decision to leave the next preselection, with the visible alternatives, effort and apparent authority matched; the picture does not establish that this inherited history changes that decision.
- Master questionstep 01 of 04
Cultural information can spread, change and persist through different processes, and the research agenda seeks new explanations that experiments could prove wrong. It requires separate measures of how many people encounter a unit, how accurately they copy it, how its meaning changes, whether they adopt it and whether it lasts.
Rests on: The stated goal defines the subject as the transmission and persistence of cultural information and asks for competing explanations, decisive tests and evidence limits.
Stated in the chain - Goal pillarstep 02 of 04
The selected focus is a limit on separating exposure from response when each feeds back into the other: encounters can prompt actions, and actions can influence later encounters.
Rests on: The master goal includes systems that select what people see and asks for their causal role in cultural persistence. The supplied title selects exposure–response feedback as a particular focus.
AssumptionThe relevance of this specific focus is taken as given. Only a title is supplied; it does not define the proposed limit or state conditions under which exposure and response cannot be separated.
- Gap questionstep 03 of 04
Models fitted from short, deliberate changes in exposure might predict the disappearance of a cultural lineage, a sequence of copies descended from one unit, after person-to-person forwarding and a recommendation system’s learned state are separately interrupted. The alternative is that the same measured feedback hides different ways for descendants to survive.
Rests on: The selected focus concerns exposure and response influencing one another, but the move to predicting disappearance requires a specified model and a way to identify its behavior from those short changes.
LeapThe preceding title supplies neither a model nor an argument that exposure changes identify the processes needed to predict disappearance after the two interruptions. The gap is explicitly posed as a question; those predictive conditions remain unspecified.
- Hypothesisstep 04 of 04
People may carry a convention forward by actively choosing it and leaving it preselected for the next person in a shared naming or document task. The distinctive proposal is that inheriting this preselection increases the chance of reinstalling it for a successor even when the person’s own current convention is assigned by the experiment and the alternatives and action costs are matched.
Rests on: The preceding question allows different survival processes to produce the same earlier feedback. This hypothesis supplies a candidate additional process: a recorded field in a shared artifact carries a choice arrangement through fresh recipients after the specified forwarding route and learned recommendation state have been interrupted.
Stated in the chain
What is carried, and what is not. There are zero screened sources, so none of the proposed links has support from that screened set. The supplied hypothesis cites Madrian and Shea’s 2001 article in The Quarterly Journal of Economics for persistence around default settings after a firm changed automatic enrollment in a retirement savings plan; that policy change supports defaults influencing choices, but was not a randomized test of cultural ancestry and does not establish people transmitting default-setting rules or the proposed sequence end to end.
Where the reasoning is carried by something unstated · 2
- Goal pillar. The relevance of this specific focus is taken as given. Only a title is supplied; it does not define the proposed limit or state conditions under which exposure and response cannot be separated.
- Gap question. The preceding title supplies neither a model nor an argument that exposure changes identify the processes needed to predict disappearance after the two interruptions. The gap is explicitly posed as a question; those predictive conditions remain unspecified. Establish the missing link before relying on this step.
How a result here could mislead · 3
- A longer run of focal outputs could reflect ordinary acceptance of whatever happens to be preselected, or a field that remains present automatically, rather than people inheriting a tendency to reinstall it. What closes it: Every current choice and successor-field setting must be actively recorded. Compare inherited fields with independently assigned fields having the same overall convention frequencies and with no preselection, while matching alternatives, apparent authority and confirmation costs. Estimate separately the probabilities of current choice and successor reinstallation before interruption; if ordinary one-step default acceptance plus mechanical persistence predicts everything, the proposed distinct family is rejected.
- A relationship between inherited preselection and successor settings among people who voluntarily chose the focal convention could arise because those people already preferred it. That would confuse selection of participants with an effect of inheritance on their next decision. What closes it: Randomly assign the current output separately from the inherited field, as the proposal specifies, and compare successor settings within the same assigned output. Fix the minimum effect regarded as meaningful before collecting results; neither that threshold nor a sample size is supplied.
- Descendants appearing after the interruptions could be credited to the inherited field even if they came from pending messages, retained learned recommendations, repeated participants, failure-triggered rescue, concern about training the distributor, or notifications that revive an old intention. What closes it: Use fresh recipients, cancel pending sends, reset learned ranking, restore the set of eligible items to its baseline and suppress the specified forwarding route. Log the artifact-to-person connection and any notifications or other delivery paths, and control the rival explanations’ inputs. The removal and restoration comparisons must preserve visible wording; the field itself must be counted as a remaining cultural carrier, not treated as information that has somehow survived without a carrier.
What would make this wrong. The distinctive mechanism would fail if, with current output randomly fixed and alternatives, effort and authority cues matched, inheriting the focal preselection did not increase active successor reinstallation beyond the threshold set in advance, with precision sufficient to distinguish that threshold. The proposed survival consequence would fail if independently estimated choice and reinstallation probabilities did not predict the inherited-field advantage through fresh recipients, or if removing the field left that advantage intact after other routes were controlled. If ordinary current-choice default effects and mechanical field persistence explained all outcomes, the proposal would not qualify as a distinct new family.
What it would change. If the predicted dependence and its repeated consequences held, research on cultural persistence would need to count the choice arrangements people leave for successors alongside the messages they copy. Similar responses to short exposure changes would then be insufficient to predict survival when the recorded arrangements differ, and continued copying could coexist with weak private endorsement. A successful fictional-dictionary or document-template study would still not establish that the mechanism governs everyday traditions, online recommendation systems or long-term persistence. Stronger validation would require a naturally occurring shared practice in which people create the defaults themselves, including removal and restoration of that carrier while preserving its visible wording.
The gap this hypothesis explains
Do brief boosts predict extinction after sharing or recommendation memory stops, or hide different ways cultural lineages survive?
Original wording · exactly as the pipeline generated it
Do pulse-identified feedback models predict lineage extinction when human relay and recommender memory are separately interrupted, or can identical measured feedback conceal different survival mechanisms?
What this question is asking
The question asks whether a model fitted to responses to a short-lived increase in exposure can predict whether a chain of related cultural items will disappear. It separates people passing items to other people from a recommendation system retaining information that may shape later exposure. It asks whether separately interrupting these two routes produces the disappearance predicted by the model, or whether systems with the same measured feedback survive differently because different processes keep them circulating. The wording leaves unspecified what the brief increase changes, what counts as one cultural lineage, and what duration without circulation counts as extinction; it does not assert which answer is true.
- Cultural item
- A piece of information or a practice that can pass between people, such as an internet meme or a narrative. The question does not specify which kinds of items are being followed.
- Cultural lineage
- A chain or family of cultural items connected by copying or transformation. Its boundaries depend on a rule for deciding whether changed versions remain related; no such rule is supplied here.
- Variant
- A changed version of a cultural item. Whether related variants count toward a lineage's continued survival is left unspecified.
- Pulse or brief boost
- A short-lived change used to observe how a system responds afterward. The explanation interprets the question's pulse as a brief increase in exposure, but the supplied material does not specify what is actually changed.
- Exposure
- An opportunity to encounter a cultural item. Encountering it is distinct from copying it or taking it up.
- Feedback
- A process in which an earlier outcome affects what happens next, such as circulation contributing to later exposure and further circulation. Here, measured feedback is the observed response summarized by a model, not automatically a complete account of the processes producing that response.
- Pulse-identified feedback model
- A mathematical description fitted using observations of a system's response to a brief change. The word identified here describes learning a model from that response; it does not establish that only one underlying mechanism could produce it.
- Human relay or sharing
- People passing a cultural item to others, for example by sharing or reproducing it. This is one proposed route of continued circulation in the question.
- Recommendation system or recommender
- Software that selects or orders material for people to encounter. It is the other part of the circulation system considered in the question, alongside human sharing.
- Recommendation memory
- Retained information that a recommendation system may use when selecting later material. This names a broad class of possible stored information, not a single specified component; the question does not say which information is retained or interrupted.
- Separate interruptions
- Changes intended to stop human relay and recommendation memory individually so their survival consequences can be distinguished. The question does not specify whether either route can be interrupted without also changing the other.
- Extinction
- The end of a cultural lineage's continued activity under a defined measurement rule. The input gives no rule for distinguishing permanent disappearance from a temporary period without observed activity.
- Survival or persistence
- A cultural lineage remaining active over time under a stated measure. This could refer to continued exposure, copying, or adoption, and those outcomes need not be interchangeable.
- Survival mechanism
- The process that causes a cultural lineage to keep circulating. In this question, the unresolved distinction is whether the same measured feedback reflects the same sustaining process or conceals different contributions from people and recommendation memory.
- Copying
- Reproducing or passing on a cultural item. A copy may preserve the original closely or introduce changes that create a related variant.
- Adoption
- Taking up a cultural item, belief, or practice. Adoption is a different outcome from merely encountering or forwarding an item.
- The measured feedback predicts extinction If the fitted model correctly predicts disappearance after each separate interruption, the measured response would capture enough information for those particular survival predictions. This would support prediction within the studied conditions, but would not by itself show that the model uniquely identifies the process that sustains circulation.
- Matching feedback hides different survival mechanisms If lineages with the same measured feedback respond differently to the separate interruptions, their measured similarity would be insufficient to determine which route maintains circulation. A survival forecast based only on that similarity could then fail when sharing or recommendation memory changes.
- Prediction succeeds for only one interruption If the model predicts disappearance after one interruption but fails after the other, its predictive adequacy would depend on which route is changed. A successful prediction for one route would therefore provide no sufficient basis for carrying the same conclusion over to the other.
In the mechanism being considered, exposure leads to further circulation, which can generate additional exposure and keep related cultural items active. A model fitted to the response to a brief boost summarizes this feedback, but the question is whether that summary also identifies what maintains circulation. If the same measured response can arise from different contributions of human sharing and stored recommendation information, interrupting either contribution could produce different survival outcomes despite similar model predictions. Treating the measured response as a complete explanation could therefore misattribute persistence or predict disappearance where circulation continues; these are conditional consequences, not findings established by the supplied material.
The mechanism it proposes
The engine's own statement of the hypothesis, in full.
SCOUT 2 — From institutional economics and default-dependent choice: a cultural act can leave an inheritable rule for the next actor's choice, rather than merely a memory or another exposure. In a shared harmless naming or document-making task, each participant chooses both a convention and the preselected convention presented to the next participant. A recipient can actively reproduce the focal unit and reinstall it as the successor's default. This procedural inheritance can continue through fresh people after both the original direct-message relay and recommender memory are interrupted. Its physical carrier is a user-authored default field in the task artifact; the causal process is successive human acceptance and reinstallation, not persistence of a ranker's weights, an automatically repeated post or static candidate eligibility. The distinctive candidate dependency is default-preserving meta-choice: having inherited a default changes the probability of reinstalling it for another person even among actors assigned the same current convention, equal alternatives and equal current action costs. Such second-order procedural transmission can stabilize SPV_7 while leaving private endorsement weak and pre-break exposure pulses unchanged. It is a proposed additional cultural route that must be fully logged, not an assertion that a two-route model remains complete.
Where the idea comes from
The hypothesis borrows a result from another field. This is what it borrows, and from where.
Scout source field: institutional economics of defaults and choice architecture. Madrian and Shea, 'The Power of Suggestion: Inertia in 401(k) Participation and Savings Behavior' (2001; primary working-paper record https://www.nber.org/papers/w7682 and published article https://academic.oup.com/qje/article-abstract/116/4/1149/1903159), studied a firm's change to automatic enrollment and documented substantial persistence around default settings. This is evidence that institutional defaults influence real human choices; the policy change was not a randomized experiment on cultural ancestry. It does not establish that recipients transmit default-setting rules. The proposed cultural state update is P(D_next|D_current,Y_current), coupled to P(Y_current|D_current,E_current), where D is the explicitly logged inherited preselection, Y is the new active human reproduction choice, and E is the randomized exposure/opportunity history. The novel term, if any, is causal dependence on D_current in the first kernel after Y_current is experimentally fixed; both kernels and their composition must be estimated before withdrawal. This is a conditional stochastic model, not an imported engineering law and not proof of a biological mechanism.
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.
Use fresh recipients at every successor step, reset learned ranking and restore candidate pools to baseline, cancel pending sends and suppress the specified person-to-person message route. Randomize whether the artifact's default field is inherited, erased, or assigned independently with the same marginal convention frequency. Both accept and replace require one active, equally costly confirmation; the choice panel presents all alternatives equally and gives no machine endorsement. Separately randomize the current output, so the reinstallation contrast is not obtained by conditioning on a self-selected choice. Let d be the inherited default indicator, y the assigned current convention, and D_next the successor default. The proposed extra dependence is P(D_next=focal|do(d=focal),do(y=focal))-P(D_next=focal|do(d=neutral),do(y=focal))>0 beyond a preregistered meaningful bound. Forward prediction composes the independently estimated choice and reinstallation kernels; the inherited-default arm should retain a larger probability of genuinely authored focal descendants through fresh cohorts than the equal-frequency independently assigned-default arm. IH_01, IH_02 and IH_03 lose their carried person state under fresh-recipient replacement and do not predict an ancestry effect of the procedural field after their own inputs are controlled. Erasing the field should remove this excess while equalizing visible content, and restoring an ancestrally linked field should restore it. Reject a new family if ordinary one-step default bias and mechanical field persistence predict all outcomes, or if the apparent benefit disappears when active confirmation, authority cues and choice cost are matched.
What testing it would take
The engine's own read on whether this is testable with methods that already exist.
A shared fictional dictionary or neutral document template provides a cheap pilot. All participants must make an actual recorded choice; inactivity is not cultural reproduction. The default field is an explicitly observed experimental cultural carrier and cannot be silently treated as an excluded reentry source. Use a baseline field with no preselection and an independent-default replay with matched distributions. Power inputs are between-chain heterogeneity, baseline default acceptance, conditional reinstallation, alternative choice rates, attrition and errors in linking the artifact to the next act. Strong validation requires an organic shared practice where people themselves can create defaults, plus removal and restoration of the procedural field while preserving its visible wording. A study limited to researcher-installed defaults demonstrates a known default effect, not endogenous procedural inheritance.
Other explanations
Every other hypothesis the engine wrote for the same gap, and the observation that would separate the two.
Use fresh recipients at every successor step, reset learned ranking and restore candidate pools to baseline, cancel pending sends and suppress the specified person-to-person message route. Randomize whether the artifact's default field is inherited, erased, or assigned independently with the same marginal convention frequency. Both accept and replace require one active, equally costly confirmation; the choice panel presents all alternatives equally and gives no machine endorsement. Separately randomize the current output, so the reinstallation contrast is not obtained by conditioning on a self-selected choice. Let d be the inherited default indicator, y the assigned current convention, and D_next the successor default. The proposed extra dependence is P(D_next=focal|do(d=focal),do(y=focal))-P(D_next=focal|do(d=neutral),do(y=focal))>0 beyond a preregistered meaningful bound. Forward prediction composes the independently estimated choice and reinstallation kernels; the inherited-default arm should retain a larger probability of genuinely authored focal descendants through fresh cohorts than the equal-frequency independently assigned-default arm. another hypothesis of the same gap, another hypothesis of the same gap and another hypothesis of the same gap lose their carried person state under fresh-recipient replacement and do not predict an ancestry effect of the procedural field after their own inputs are controlled. Erasing the field should remove this excess while equalizing visible content, and restoring an ancestrally linked field should restore it. Reject a new family if ordinary one-step default bias and mechanical field persistence predict all outcomes, or if the apparent benefit disappears when active confirmation, authority cues and choice cost are matched.
- Rival 01 of 03What would separate them
Cultural copying may be suppressed by its expected influence on future recommendations predicts: In independent groups first estimate the same prespecified small-pulse response band, and then randomize a genuine act-to-training gate independently of recommender-state reset. Maintain the same current candidate pool, actor-specific predecision exposure history, copy opportunity, immediate recipient panel and public attribution using a preregistered yoked-allocation arm. The gate controls a real subsequent update for a separately logged later audience, not a fictitious shadow rule. Estimate the proximal copying response before that future audience response can return; otherwise a compensating controller that cancels every future consequence would also remove the very causal influence g being manipulated. The ensuing total lineage-survival contrast includes downstream exposure changes and must be reported separately from the controlled proximal effect. Teach the gate by harmless contingent demonstrations before withdrawal, with attention-matched demonstrations in controls. Give no rescue responsibility, censorship message or scarcity warning. Let D(t)=P(documented new human descendant by t | gate detached)-P(descendant by t | gate coupled) at matched exposure. The candidate requires D(t)>0 beyond a pilot-chosen meaningful bound and a dose-ordered negative response to g, including when delivery remains available and no outage occurs. Reversal of which lineage trains the allocator must reverse the selective withholding. The crucial total survival prediction is more new human generations after detachment despite loss of the positive allocation path, not merely more clicks or one rebound post. For a second-stage common-regime test, randomize both groups into the same openly announced follow-up policy after their initial copy decisions, and test whether those decisions seeded different descendant trajectories; do not claim a controlled survival effect while covertly changing future exposure. another hypothesis of the same gap instead needs a perceived continuity failure and available substitute; another hypothesis of the same gap needs a learned prospective cue; another hypothesis of the same gap needs inherited procedural defaults. Falsify the distinctive claim if a calibrated ordinary reactance/control-preference model predicts the held-out gate-transfer results, or if D is bounded near zero after directly matching those variables. A generic label or annoyance effect is insufficient.
- What would separate them
Inherited takeover rules may recruit human relays when recommendations fail predicts: Randomize recommender-state reset versus retention, partial human-relay availability, and a content-free verified outage signal versus a matched irrelevant signal. Hold the available cultural content and pre-break recall distribution fixed. With the automatic route actually interrupted, the outage signal should selectively increase first new human handovers and their descendant survival when a trained standby route is permitted. It should have little effect when that route is unavailable; a policy gate detached while delivery continues should not by itself produce the increase predicted by another hypothesis of the same gap. Estimate coverage C from separate failure drills, then predict S(t) without refitting it after withdrawal. Under the restricted equation in cross_field_source, the survival gain from C0 to C1 is (C1-C0) times the specified nonnegative convolution, giving both a sign and a held-out magnitude prediction. At a forced break at time u, conditional human-route survival is C W_H(u) R_H(v) over post-break horizon v, under the stated assumptions. An equal-current-exposure demonstration that routes are still working should remove the takeover response. To test the extension, pass identical content with versus without the inherited handover rule to fresh successors; survival after a second unanticipated break should depend on the inherited rule despite equal first-handover rates. Failure to predict either break, or an effect fully explained by ordinary independent retention and an additive warning response, removes the distinctive standby explanation.
- What would separate them
Inherited return cues may rearm completed intentions and sustain cultural copying predicts: After identical initial cultural exposure, randomly bind the relay intention to cue x or equally familiar cue y. Complete the intention once and clearly terminate the obligation. Independently reset the recommender, allow or suppress return notifications, and remap the notification's cue identity while holding cultural payload, event count, timing, visual salience and opportunity to act constant. The distinctive contrast is Delta_PM=[P(new copy|return x)-P(new copy|return y)]_x-trained minus the same difference in y-trained participants; it must be positive in the predicted direction after completion and predict descendants through the measured cue-response lag. A newly composed post must require an explicit fresh action, so replaying a precommitted send cannot satisfy the endpoint. A deactivation procedure rehearsing the now-correct response to the old cue should reduce the continuation tail without reducing independent content recall. This effect should occur without outage knowledge, an inherited default or a change in one's causal influence on training. another hypothesis of the same gap predicts status-triggered takeover, not arbitrary cue-identity transfer; another hypothesis of the same gap predicts training-gate transfer; another hypothesis of the same gap predicts procedural-setting transfer. Falsify the loop if no new action-specific commission effect occurs, if return-cue suppression leaves the predicted excess unchanged within a prespecified precision bound, or if an already fitted open-loop cue-response model predicts the entire tail and cross-generation results without any inherited rearming dependence.
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.
Provenance audit: failed at enrich. Nothing below has been traced yet.