Cultural copying may be suppressed by its expected influence on future recommendations

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.

Do brief boosts predict extinction after sharing or recommendation memory stops, or hide different ways cultural lineages survive?

The engine's own statement of the hypothesis, in full.

HERETICAL CANDIDATE — Copying can be inhibited by its anticipated causal influence on the allocator. A person may willingly preserve a harmless convention yet withhold a public copy when that particular act would train an allocator that the person does not want to control subsequent distribution. Removing the act-to-training handoff can therefore increase genuinely new human descendants, even though it removes a positive exposure pathway. The proposed state is a recipient's action-specific model of how their copying changes future allocation, rather than content memory, dislike of the message, an unobserved queue or a general preference for nonconformity. A restricted operational model is logit p_H(t)=alpha_i+beta X_i(t)-gamma g_i(t), where p_H is new human reproduction at an available opportunity, X contains randomized dose, current content value and declared alternatives, and g is the experimentally learned marginal effect of one's own copy on later algorithmic allocation; gamma>0 is the proposed inhibition. g is distinct from the algorithm's total exposure effect and from merely being told that a recommender exists. The bold extension is lineage-specific causal-policy dependence: transferring the same act-to-training contingency to a different convention transfers the suppression, whereas transferring the convention without that contingency does not. This stabilizes SPV_7 in the detached regime by restoring voluntary reproduction, while making the pre-break SPV_8 insufficient for its prediction. It does not claim that information survives with no bearer or that ordinary positive branching mathematics is false.

Every other hypothesis the engine wrote for the same gap, and the observation that would separate the two.

• Rival 01 of 03

  Inherited takeover rules may recruit human relays when recommendations fail
  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.

• Rival 02 of 03

  Inherited return cues may rearm completed intentions and sustain cultural copying
  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.

• Rival 03 of 03

  Inherited defaults may sustain traditions when people reinstall them for successors
  What would separate them

  Inherited defaults may sustain traditions when people reinstall them for successors predicts: 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.

The engine is asked to say what its hypothesis would overturn and what would surprise a specialist. This is its answer.

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.