Habituation to Repeated Signal¶
Core Idea¶
Habituation to repeated signal is the structural pattern in which a signal channel intended to recruit attention to a flagged condition loses its recruiting power as exposure accumulates, through a self-reinforcing combination of two mechanisms: attentional habituation, in which the receiver's response to the stimulus dampens with repetition, and base-rate degradation, in which a channel whose firings mostly do not correspond to the flagged condition collapses the rational posterior on receiving the signal, so the optimal response approaches ignoring. The two mechanisms compound: a low-specificity channel produces frequent non-actionable firings, which both habituate the receiver and lower the posterior, both of which lower the channel's effective recruiting power, which is observed as missed signals, which prompts the system-level pathology of adding more alarms — and that worsens the loop. The end state is a channel that is noisily active but informationally bankrupt: loud, frequent, and ignored.
The pattern has six load-bearing parts: a signal channel with finite specificity (its firing rate exceeds the rate of the true condition); a receiver with finite attentional capacity and a Bayesian-style posterior on the channel; an attentional-habituation mechanism lowering attentional weight with exposure; a base-rate mechanism lowering the posterior with accumulating false positives; an emergent equilibrium in which the receiver's optimal response is to ignore the channel; and a system-level pathology in which operators respond to lost recruiting power by adding more alarms, accelerating the loop. The prime's distinctive content is that it locates the fix in the channel, not the receiver: the receiver's habituation is partly involuntary and the receiver's posterior collapse is rational given the channel's track record, so telling people to "pay more attention" addresses neither mechanism. The intervention family lives in channel design — raise specificity, tier urgency, role-route, decay stale signals, suppress predictable transients, audit channel performance.
How would you explain it like I'm…
Crying Wolf
The Ignored Alarm
Alarm Fatigue Loop
Structural Signature¶
the signal channel of finite specificity — the receiver of finite attentional capacity and a Bayesian posterior — the attentional-habituation mechanism dampening response with exposure — the base-rate mechanism collapsing the posterior with accumulating false positives — the emergent ignore-equilibrium — the operator-response pathology of adding more channels that accelerates the loop
A configuration exhibits habituation to repeated signal when each of the following holds:
- A signal channel with finite specificity. A channel meant to recruit attention to a flagged condition fires at a rate exceeding the rate of the true condition, so its firings only partly correspond to what they flag: a clinical alarm, a SIEM rule, a cockpit warning, an EHR prompt, a notification stream.
- A finite-capacity receiver. A receiver with limited attention and a Bayesian-style posterior on the channel must allocate that attention across firings: a nurse, an analyst, a pilot, a user.
- An attentional-habituation mechanism. The receiver's response to the stimulus dampens with repetition — partly involuntary — lowering the channel's effective recruiting power independent of any reasoning.
- A base-rate mechanism. Accumulating non-actionable firings collapse the rational posterior on receiving the signal, so the optimal response approaches ignoring — a rational response to the channel's track record, not a discipline failure.
- An emergent ignore-equilibrium. The two mechanisms compound into an equilibrium in which the receiver's optimal response is to ignore the channel, which is observed as missed signals: the channel becomes noisily active but informationally bankrupt.
- An operator-response pathology. The system responds to lost recruiting power by adding more alarms, which raises the firing rate and lowers mean specificity, accelerating both halves of the loop.
The components compose so that the fix lives in the channel, never the receiver: because habituation is partly involuntary and the posterior collapse is rational, exhortation addresses neither mechanism — only raising specificity, tiering urgency, role-routing, decaying stale signals, suppressing transients, and auditing channel performance can.
What It Is Not¶
- Not
attention. Attention is the general capacity to allocate processing; this prime is the specific decay of a channel's recruiting power through compounding receiver habituation and base-rate collapse. Attention is the resource; this is one way a channel bankrupts its claim on it. - Not
attentional_capacity. Capacity limits are a fixed receiver property; the prime's failure is a dynamic loop in which a low-specificity channel drives the receiver's posterior toward ignoring, independent of how much capacity the receiver has. - Not
conditioning_behavioral. Conditioning forms an association between stimulus and response; habituation here is the waning of response to a repeated non-informative signal — and the prime adds the base-rate (Bayesian) mechanism conditioning omits. - Not
mere_exposure_effect. Mere exposure increases liking with repetition; this prime decreases recruiting power with repetition. Opposite sign, different mechanism. - Not
learned_helplessness. Learned helplessness is giving up after uncontrollable aversive outcomes; ignoring a noisy channel is a rational and correct response to a low-specificity track record, not a generalised failure of agency. - Common misclassification. Blaming the receiver and prescribing vigilance after a missed signal, then adding more alarms. Habituation is partly involuntary and the posterior collapse is rational; catch the error by asking whether the fix raises channel specificity or merely demands attention — and note that adding channels accelerates the loop.
Broad Use¶
- Patient-safety alarms ("alarm fatigue"): the canonical case — ICU and OR patients trigger hundreds of mostly non-actionable alarms per day, clinicians rationally learn to ignore the channel, and the rare actionable alarm goes unanswered.
- Cybersecurity SOCs ("alert fatigue"): SIEM and EDR alerts arrive in tens of thousands per analyst per shift, so the rational posture becomes triage by salience proxy, missing genuine attacks.
- Aviation cockpit warnings: the master-caution/master-warning hierarchy was developed precisely because earlier undifferentiated alerting produced warning blindness.
- Banner blindness and EHR override fatigue: users learn to ignore screen regions where ads appear, and physicians override the majority of drug-interaction prompts because most are clinically irrelevant; the channel has gone informationally bankrupt for that region or prompt.
- Threat colour codes and compliance "cry wolf": persistently elevated alert levels and over-readily-firing regulatory warnings lose their power to recruit attention or behaviour change and are eventually retired or ignored.
- Notification systems and household alarms: app-notification fatigue and low-battery chirps that fire too often get filtered out, with Do-Not-Disturb modes as the receiver-side defence.
Clarity¶
Naming the pattern forces attention onto two mechanisms ordinary language conflates: the channel-side problem (low specificity, too many firings, base-rate degradation) and the receiver-side problem (attentional habituation, finite capacity). The two interact, and intervening on only one rarely fixes the loop. Once both are named, the diagnostic question "is this channel informationally bankrupt, and through which mechanism?" becomes askable, and the intervention becomes targetable rather than exhortatory. The clarifying force is to move the locus of failure from the receiver's discipline to the channel's design — a reframing that, by itself, is a major intervention in safety culture, because it converts a blame problem into an engineering problem.
The framing also surfaces the counterintuitive but rigorous result that adding more alarms makes the problem worse: each new alarm increases the channel's firing rate and lowers its mean specificity, accelerating both halves of the loop. The structural argument against alarm proliferation is the prime's principal pragmatic contribution, because the operator's instinct after a missed signal is exactly the move that deepens the failure. A second clarity benefit is the separation of honest signal weakening (the underlying condition truly is becoming rarer, so the channel correctly fires less) from spurious signal weakening (the channel fires the same amount but the receiver has habituated). The two look identical in firing-rate metrics and differ in receiver-response metrics, and the prime makes the distinction visible so remediation is not aimed at a channel that is behaving correctly.
Manages Complexity¶
The pattern manages complexity by converting an attention-economy problem into a channel-design problem. The diffuse complaint "people are ignoring the alarms" resists action because it implicitly blames the receiver; the prime relocates the problem to a designable object — the channel — whose specificity (its firing-rate-to-true-condition-rate ratio) is the load-bearing parameter. The complexity absorbed is the false framing that attention is a discipline failure rather than a rational response to a poorly designed channel, which sends effort toward training and away from the fix.
A second compression is a shared, closed intervention catalogue: raise specificity (multi-parameter, sustained-duration, contextual firing criteria), tier urgency (separate genuinely urgent signals from background monitoring so habituation on one does not transfer to the other), role-route (send distinct tiers to distinct recipients), decay stale signals, suppress predictable transients, and audit channel performance against base-rate degradation. The same six moves work in ICU alarms, security operations, aviation cockpits, EHRs, ad placement, and household alarms; specifics differ, structure does not. A third compression is that the operator-response pathology itself becomes a portable diagnostic: whenever an organisation responds to a missed-signal incident by adding a new alarm channel, the prime predicts the additional channel will accelerate the loop unless paired with specificity-raising or urgency-tiering moves, so the prediction can be made before the new channel is built. The prime also reframes the receiver's rational ignoring as a design failure rather than a user failure, which is the conceptual move that licenses spending the engineering budget on the channel.
Abstract Reasoning¶
The prime trains a reasoner to locate the fix in the channel rather than the receiver, and to treat channel specificity — the firing-rate-to-true-condition-rate ratio — as the load-bearing parameter. It licenses several substrate-neutral inferences. The first is habituation–base-rate compounding: the two mechanisms reinforce one another, so the loop runs faster than either alone would, and a defensive intervention that addresses only one half (tightening firing criteria without re-establishing trust, or vice versa) will under-perform. The second is the operator-response pathology: adding more alarms in response to missed signals accelerates the loop, so the prime predicts the worsening and supplies the structural argument for the alternative — raise the specificity of existing channels rather than add new ones.
The deeper inference is the reframing of equilibrium as design failure, not user failure: when a receiver rationally ignores a noisy channel, the failure is the channel design, not the receiver's discipline, and this reframing is itself a major intervention in safety culture because it relocates accountability to a designable object. From the same relation the reasoner derives the value of tiered-urgency architectures: separating genuinely urgent signals from background monitoring prevents habituation on the background channel from transferring to the urgent channel, which is why a master-caution/master-warning split outperforms an undifferentiated alerting scheme. The prime also licenses a forecasting inference — that any channel whose specificity is low will, over time, drive its receiver's posterior toward ignoring regardless of the receiver's intent — so the trajectory can be predicted at the moment the channel is designed, and the design choice (firing-criteria tightness, urgency tiering, role-routing) can be evaluated before the channel is deployed rather than after it has gone bankrupt.
Knowledge Transfer¶
The transferable content is the channel-specificity / receiver-habituation / base-rate-collapse / operator-pathology loop together with the closed six-move catalogue and the channel-not-receiver framing. The role mappings are regular across attention-bearing substrates: the channel maps to a clinical alarm, a SIEM rule, a cockpit warning, an ad region, an EHR prompt, a notification stream; the receiver maps to a nurse, an analyst, a pilot, a user, a physician; specificity maps to firing criteria tightness; tiering maps to master-caution/master-warning hierarchies, severity levels, and Do-Not-Disturb partitions.
The transfers are reuses of one loop. The aviation insight that mixing genuinely urgent signals with background monitoring destroys the urgent channel ports directly to EHR design: tier the alerts, route distinct tiers to distinct channels, audit channel performance. The security-operations practice of tuning the SIEM aggressively to raise specificity — multi-parameter rules, sustained-duration thresholds, contextual filters — ports to ICU monitoring, where multi-parameter alarms (heart rate plus oxygenation plus trajectory) outperform single-parameter alarms by raising specificity. The UX insight that predictable-location, predictable-content signals get structurally filtered ports to notification design: a channel must vary in some dimension to retain attention, and predictable notifications are filtered out. The public-policy experience of retiring colour-code alert systems that lost recruiting power ports to compliance and HR warning systems — a channel that has gone informationally bankrupt should be retired or rebuilt, not maintained as background noise. In every case the load-bearing recognition is identical: the receiver's ignoring is rational given the channel's track record, so the fix must raise the channel's specificity or restructure its urgency, never exhort the receiver. The pattern travels structurally but lives mostly within substrates that have an attention-bearing receiver, which is why its transfer is strong across human and organisational receivers and grounded in the neural mechanism of behavioural habituation, while remaining bounded to systems where a receiver with finite attention is doing the receiving.
Examples¶
Formal/abstract¶
ICU alarm fatigue is the prime's canonical case, and it makes the compounding loop quantitatively legible. The signal channel of finite specificity is the bedside monitor's alarm: it fires on heart-rate, oxygenation, and blood-pressure thresholds at a rate far exceeding the rate of true actionable events, so most firings are non-actionable. The receiver of finite attentional capacity with a Bayesian posterior is the nurse, who must allocate scarce attention across hundreds of alarms per patient per day. The two mechanisms compound exactly as the prime specifies. The attentional-habituation mechanism: the nurse's involuntary response to the repeated tone dampens with exposure. The base-rate mechanism: because the channel's track record is mostly false positives, the rational posterior on "this alarm signals a real emergency" collapses, so the optimal response approaches ignoring — a rational inference from the channel's reliability, not a discipline failure. These reinforce into the emergent ignore-equilibrium: the channel becomes noisily active but informationally bankrupt, observed as the rare genuine alarm going unanswered. The operator-response pathology closes the loop perversely — after a missed-alarm incident, the institution adds more alarms, raising the firing rate and lowering mean specificity, accelerating both halves. The prime locates the fix in the channel, never the receiver: exhortation addresses neither mechanism, while raising specificity (multi-parameter alarms requiring heart-rate and oxygenation and an adverse trajectory) directly attacks the base-rate problem. Mapped back: the monitor alarm is the low-specificity channel, the nurse is the finite-capacity receiver, the rational posterior collapse plus involuntary habituation are the two compounding mechanisms, the unanswered true alarm is the ignore-equilibrium, and adding-more-alarms is the operator pathology — with multi-parameter specificity-raising the prescribed channel-side fix.
Applied/industry¶
Two industry instances run the identical loop, and the transfer between them is a documented reuse. First, cybersecurity security-operations centres: the channel is a SIEM or EDR rule firing tens of thousands of alerts per analyst per shift, most benign; the receiver is the analyst, whose posterior on "this alert is a real intrusion" collapses under the false-positive base rate, so the rational posture becomes triage-by-salience-proxy and genuine attacks slip through — the ignore-equilibrium. The channel-side fixes are the prime's six moves: raise specificity (multi-parameter rules, sustained-duration thresholds, contextual filters), tier urgency, role-route distinct tiers to distinct analysts, decay stale alerts, suppress predictable transients, and audit channel performance against base-rate degradation. Second, aviation cockpit warnings: early undifferentiated alerting produced warning blindness, which is exactly why the master-caution/master-warning hierarchy was developed — a tiered-urgency architecture that separates genuinely urgent signals from background monitoring so that habituation on the background channel does not transfer to the urgent one. This aviation insight ports directly to electronic-health-record design (tier the drug-interaction alerts, route tiers to distinct channels, audit override rates) and to SOC design alike, while the SOC practice of aggressive specificity-tuning ports back to ICU monitoring. In every case the load-bearing recognition is identical: the receiver's ignoring is rational given the channel's track record, so the fix must raise specificity or restructure urgency, never exhort the receiver. Mapped back: SIEM rules and cockpit alarms are the low-specificity channels; analysts and pilots are the finite-capacity receivers; firing-criteria tightness is specificity; master-caution/master-warning is the urgency tiering; and the cross-substrate move — relocate the fix from receiver discipline to channel design — is the prime's central, transferable claim.
Structural Tensions¶
T1 — Channel-Side Fix versus Receiver-Side Blame (scopal). The prime's load-bearing claim is that the fix lives in the channel, not the receiver, because habituation is partly involuntary and posterior collapse is rational. The tension is between blaming the receiver's discipline and redesigning the channel. The characteristic failure mode is exhortation: telling nurses, analysts, or pilots to "pay more attention," which addresses neither mechanism. The diagnostic: ask whether the proposed remedy raises the channel's specificity, tiers its urgency, or routes its signals — or whether it merely demands more vigilance from the receiver. A remedy aimed at the receiver leaves both the habituation and the base-rate mechanisms untouched.
T2 — Attentional Habituation versus Base-Rate Collapse (coupling). Two mechanisms compound: involuntary attentional dampening with repetition and rational posterior collapse under accumulating false positives. The tension is that they reinforce one another, so addressing one half under-performs. The failure mode is the partial fix: tightening firing criteria (base-rate) without re-establishing the receiver's trust (habituation), or vice versa, leaving the loop running on its other half. The diagnostic: ask which mechanism a fix targets and confirm the other is also addressed — because the two compound, a defensive intervention on only one will be outpaced by the loop running through the other.
T3 — Add More Alarms versus Raise Specificity (sign/direction). After a missed signal, the operator instinct is to add a new alarm channel; the prime shows this accelerates the loop by raising the firing rate and lowering mean specificity. The tension is that the reflexive remedy is exactly the move that deepens the failure. The failure mode is alarm proliferation: each new channel further bankrupts the receiver's attention. The diagnostic: whenever an organisation responds to a missed-signal incident by adding a channel, predict acceleration unless the addition is paired with specificity-raising or urgency-tiering — the corrective is to raise the specificity of existing channels, not to multiply them.
T4 — Urgent Channel versus Background Channel (scopal). Mixing genuinely urgent signals with routine background monitoring lets habituation on the background transfer to the urgent. The tension is between an undifferentiated alerting scheme and a tiered architecture that quarantines urgency. The failure mode is contamination: the rare critical alarm is ignored because it shares a channel with hundreds of routine firings the receiver has learned to tune out. The diagnostic: ask whether genuinely urgent signals are separated from background monitoring and routed distinctly (master-caution/master-warning, severity tiers) — if they share a channel, the background's habituation will bankrupt the urgent signal regardless of its true importance.
T5 — Honest Signal Weakening versus Spurious Signal Weakening (measurement). A channel firing less can mean the underlying condition truly became rarer (honest, the channel is correct) or the receiver has habituated while firing is unchanged (spurious). The tension is that the two look identical in firing-rate metrics and differ only in receiver-response metrics. The failure mode is mis-aimed remediation: re-engineering a channel that is correctly firing less, or ignoring a channel that has gone bankrupt. The diagnostic: separate firing-rate data from receiver-response data — if firing is steady but response has dropped, the weakening is spurious habituation; if firing itself fell with the true condition, the channel is behaving correctly and needs no fix.
T6 — Predictable Signal versus Attention-Retaining Variation (temporal). A channel that fires with predictable location, timing, and content gets structurally filtered — banner blindness, the ignored low-battery chirp. The tension is between the consistency that makes a signal easy to produce and the variation needed to keep recruiting attention. The failure mode is predictability-induced filtering: a perfectly reliable, perfectly consistent signal becomes invisible precisely because the receiver can anticipate and pre-empt it. The diagnostic: ask whether the channel varies in some salient dimension when the flagged condition is genuinely present, or fires identically every time — a channel that never distinguishes its important firings from its routine ones trains the receiver to filter the whole region, important firings included.
Structural–Framed Character¶
Habituation to repeated signal sits just structural-of-centre on the structural–framed spectrum, with a mixed-structural aggregate of 0.3. The core is a genuine relational loop — a low-specificity channel, a finite-capacity receiver with a Bayesian posterior, and the compounding of attentional habituation with base-rate collapse into an ignore-equilibrium — but the pattern concentrates in substrates that have an attention-bearing receiver.
Two diagnostics read cleanly structural and anchor the low aggregate. There is no evaluative weight (evaluative_weight 0.0): the receiver's ignoring is a rational, value-neutral response to the channel's track record, not a moral failing — the prime explicitly relocates accountability from receiver discipline to channel design. And there is no institutional origin (institutional_origin 0.0): the specificity/habituation/base-rate loop is definable purely as a relation between a channel's firing rate, a receiver's posterior, and an attentional response, with no rooting in any formal institution. The remaining three diagnostics carry a half-point. The vocabulary leans toward alerting and attention terms — alarm fatigue, specificity, recruiting power, posterior (vocab_travels 0.5), so a reader partly translates carrying it from ICU alarms to SOC alerts to banner blindness. The pattern lives mostly where a receiver with finite attention is doing the receiving — nurses, analysts, pilots, users (human_practice_bound 0.5) — though it is grounded in the neural mechanism of behavioural habituation and so is not purely institutional. And invoking it partly IMPORTS an attention-economy framing rather than merely recognising a bare pattern (import_vs_recognize 0.5). The channel-receiver-loop skeleton is genuine and substrate-portable across human and organisational receivers, which keeps the aggregate on the structural side; the attention-bearing-receiver concentration and the alerting vocabulary keep it from a pure zero, exactly the mixed-structural 0.3 the grade records.
Substrate Independence¶
Habituation to repeated signal is a strongly substrate-independent prime — composite 4 / 5 on the substrate-independence scale. Its domain breadth is 4: the loop of channel specificity, receiver habituation, and base-rate degradation recurs as alarm fatigue in ICUs and operating rooms, alert fatigue in security operations centres, warning blindness in aviation cockpits, banner blindness and EHR override fatigue in interface and clinical contexts, "cry wolf" in threat-colour codes and compliance, and notification fatigue in apps and household alarms. The pattern concentrates in human-receiver substrates where an agent rationally learns to discount an over-firing channel — but it receives genuine neural grounding (the underlying habituation is a documented property of nervous-system signal processing), so it is not purely a social construct, which is what holds the breadth at 4 rather than lower. Its structural abstraction is the weakest component at 3: the skeleton (a channel, a receiver that adapts down its response to repeated low-information firing, a collapsing signal-to-base-rate ratio) is relational, but it presupposes a receiver capable of habituating, a richer commitment than a bare relation. The transfer evidence is the strongest at 5: the alarm-fatigue / alert-fatigue / banner-blindness phenomena are demonstrably the same loop under different names, with the master-caution hierarchy and Do-Not-Disturb defences recurring as the same receiver-side remedy, documented across medicine, security, and aviation. Breadth with neural grounding and concrete cross-substrate transfer carry the composite to a well-supported 4.
- Composite substrate independence — 4 / 5
- Domain breadth — 4 / 5
- Structural abstraction — 3 / 5
- Transfer evidence — 5 / 5
Neighborhood in Abstraction Space¶
Habituation to Repeated Signal sits in a moderately populated region (44th percentile for distinctiveness): it has near-neighbors but no dense thicket of synonyms.
Family — Adaptation Under Adversarial Pressure (14 primes)
Nearest neighbors
- Alertness — 0.74
- Kairos — 0.72
- Mere Exposure Effect — 0.71
- Attentional Capacity — 0.71
- Habit — 0.70
Computed from structural-signature embeddings · 2026-06-14
Not to Be Confused With¶
The nearest neighbour, attention (similarity 0.90), is the contrast most worth drawing because the prime is so easily collapsed into it. Attention is the general capacity of a receiver to allocate finite processing across competing demands — a resource, studied for its limits, biases, and dynamics. Habituation to repeated signal is not that resource but a specific failure of one channel to retain its claim on it: a channel of finite specificity drives its receiver's posterior toward ignoring through the compounding of involuntary habituation and rational base-rate collapse. The invariants differ. Attention's invariant is a capacity constraint that holds regardless of any particular channel; this prime's is the self-reinforcing loop by which a low-specificity channel bankrupts itself. The practical hazard of conflation is that the attention frame suggests the fix is on the receiver side — manage the receiver's attention better, train them to focus — whereas the prime's central claim is that the fix lives in the channel, because no amount of attention management repairs a channel whose track record has made ignoring it rational. Attention names the scarce resource the channel competes for; this prime names the mechanism by which a badly designed channel loses the competition.
A second genuine confusion is with conditioning_behavioral, and habituation is indeed a member of the learning family conditioning belongs to. But classical and operant conditioning concern the formation of an association between a stimulus and a response through pairing with reinforcement; habituation concerns the waning of an existing response to a stimulus that repeats without consequence. The directions differ — conditioning builds a response, habituation erodes one — and, decisively, this prime adds a mechanism conditioning does not contain: the base-rate (Bayesian) collapse of the receiver's posterior. A receiver who ignores a noisy alarm is not merely behaviourally habituated; they are also making a correct probabilistic inference from the channel's false-positive history. That second mechanism is why "ignoring" here is partly rational rather than purely a conditioned reflex, and why the remedy is to raise the channel's specificity (changing the base rate) rather than to recondition the receiver. An analyst who files the pattern under conditioning will reach for extinction-and-reconditioning remedies and miss the base-rate half of the loop entirely.
A third confusion worth separating is with mere_exposure_effect, because both concern what repeated exposure does to a receiver — and they do opposite things. Mere exposure increases positive affect toward a stimulus with repetition: the more often you encounter something neutral, the more you tend to like it. Habituation to repeated signal decreases a channel's recruiting power with repetition: the more often an alarm fires without consequence, the less it commands response. The signs are reversed and the mechanisms unrelated — one is an affective warming, the other an attentional-and-inferential cooling. The confusion is easy precisely because both are "repetition effects," but treating the prime as a mere-exposure phenomenon would predict that frequent alarms become more compelling, the exact inverse of the observed bankruptcy. The distinction matters because it locates the prime firmly in the attention-and-inference family, not the affect family, and confirms that frequency is the enemy of recruiting power, not its ally.
For a practitioner the through-line is to keep three things apart: the scarce resource the channel competes for (attention), the associative learning the receiver might undergo (conditioning), and the affective warming repetition can produce (mere exposure). This prime is none of those — it is the specific, sign-negative loop in which a low-specificity channel, through involuntary habituation and rational posterior collapse, trains its receiver to ignore it. Only that combined diagnosis licenses the prime's signature move: fix the channel's specificity and urgency-tiering, never exhort, recondition, or expose the receiver more.
Solution Archetypes¶
No catalogued solution archetypes reference this prime yet.