Inherited takeover rules may recruit human relays when recommendations fail

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.

CROSS-DOMAIN TRANSFER — Detectable failure recruits a dormant human continuation route. Before the break, automatic recommendation carries most new delivery while a capable recipient regards continued manual relay as unnecessary. When the automatic route fails, the recipient must detect failure and successfully take over before the lineage's specified continuation window expires. Two groups can consequently share a pre-break impulse response and the same independently measured recall yet have different post-break survival because their failure-detection and handover rules differ. This is a dynamic standby system, not a simultaneously active AND-requirement between content and provenance. Its state is the verified human ability to reproduce the unit together with a learned operational handover rule; its distinctive parameter is coverage, the probability that an actual discontinuity is detected and a new human relay is initiated in time. The candidate extra dependence is that successful handover also installs the takeover rule in the successor, making coverage itself culturally transmitted. It stabilizes SPV_7 after an algorithmic break only when such a standby route is available; it does not predict unlimited survival or creation from an erased source. A person taking over for a broken distributor need not distrust or resist the distributor, unlike IH_01.

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

• Rival 01 of 03

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

• 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.

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.