Drift Triggers: Technical Specification

Version 1.0 – January 29, 2026

This document is a technical companion to the Foundations entry on Drift Triggers. The Foundations entry establishes the conceptual framework—what Drift Triggers are, why they matter, and how they fit into the NeuroSaeculum causal stack. This specification operationalizes that framework: detailed SM parameter mappings, interaction operator definitions with formal notation, and diagnostic protocols for analyst use.

Table of Contents

SM Parameter Mapping

Drift Triggers operate as parameter-shift operators on Saecular Mechanics primitives. This table specifies which SM variables each trigger type affects, with what polarity, and through what mechanism.

Primitives Reference

Primitive	Definition	Units
Buffer	Accumulated reserves, slack, or adaptive capacity	Quantity (depletes under stress)
Lag	Temporal delay between action and consequence	Time (longer = more hidden debt)
Load	Rate of stress accumulation on the system	Flow rate (higher = faster degradation)
Threshold	Boundaries that trigger phase change when crossed	Position + enforcement state

Actor-Level Triggers

These alter who acts and why, primarily affecting motivational and authority structures.

Incentive Rebinding

Affected Primitive	Effect	Polarity	Mechanism
Load (primary)	Changes accumulation direction and rate	Δ±	Redirects what behaviors are rewarded; misaligned incentives accelerate stress accumulation in neglected domains
Buffer (secondary)	Alters what capacities are built vs. depleted	Δ±	Investment flows toward rewarded behaviors; unrewarded reserves atrophy
Lag (tertiary)	Can extend consequence delay	Δ+	When short-term optimization is rewarded, long-term costs get deferred

Canonical specimen: Powell Memo (1971) — rebound corporate leadership from “neutral economic actor” to “permanent political combatant.” Load accumulation shifted toward regulatory capture; civic trust buffer began depleting.

Legitimacy Allocation

Affected Primitive	Effect	Polarity	Mechanism
Threshold (primary)	Changes which thresholds are enforced	Δ±	Legitimate authorities define what counts as a violation; delegitimized actors’ concerns are ignored
Load (secondary)	Alters stress perception and attribution	Δ±	If illegitimate actors bear costs, system registers less “official” stress
Buffer (tertiary)	Can deplete trust reserves	Δ-	Perceived illegitimate authority erodes institutional credibility

Canonical specimen: Volcker Shock (1979–82) — reasserted Fed authority over democratic pressure. Threshold enforcement shifted: inflation control outranks employment stability. Legitimacy to impose pain was explicitly claimed and institutionalized.

System-Level Triggers

These alter structural parameters directly, changing what is possible, how fast, and when.

Constraint Surfaces

Affected Primitive	Effect	Polarity	Mechanism
Threshold (primary)	Moves or removes system boundaries	Δ±	Expands or contracts the solution space; some paths become impossible or newly available
Buffer (secondary)	Can unlock or deplete reserves	Δ±	Removed constraints may release stored capacity or expose hidden vulnerabilities
Load (tertiary)	Indirect: constraint removal often increases optimization pressure	Δ+	When guardrails drop, competitive dynamics accelerate

Canonical specimen: Glass-Steagall repeal (1999) — Constraint Surface (Δ-). Removed separation between commercial and investment banking. Risk thresholds effectively disappeared; leverage capacity expanded; previously impossible concentrations became rational.

Feedback Loop Gain

Affected Primitive	Effect	Polarity	Mechanism
Load (primary)	Increases stress accumulation rate	Δ+	Faster reinforcement = faster compounding
Lag (secondary)	Compresses effective delay	Δ-	Tighter loops = shorter time between cause and visible effect
Threshold (tertiary)	Can lower effective thresholds	Δ-	Faster accumulation means thresholds are crossed sooner

Canonical specimen: Citizens United (2010) — tightened money → policy → money loop. Didn’t create new incentives; amplified existing ones. Reduced friction in capture dynamics; compressed exploitation timelines.

Temporal Alignment

Affected Primitive	Effect	Polarity	Mechanism
Lag (primary)	Directly manipulates consequence timing	Δ±	Extends or compresses when costs arrive
Load (secondary)	Distorts perceived accumulation	Δ±	Deferred consequences hide current load; accelerated consequences reveal hidden debt
Buffer (tertiary)	Can mask buffer depletion	Δ-	If costs arrive late, reserves appear stable until sudden collapse

Canonical specimen: Financialization of housing (1990s–2000s) — extended lag between lending decisions and default consequences. Risk was temporally displaced; load accumulated invisibly; buffers (household savings, bank reserves) depleted without visible warning until 2008.

Information-Level Triggers

These alter observability, affecting the system’s capacity to perceive itself.

Epistemic Affordance

Affected Primitive	Effect	Polarity	Mechanism
All primitives (meta)	Changes visibility of Buffer, Load, Lag, Threshold states	Δ±	Doesn’t change parameters directly; changes whether the system can detect them
Load (amplified)	Distorts stress perception	Δ±	High-visibility events may be overweighted; slow-burn accumulation may be invisible
Threshold (obscured)	Masks approach to boundaries	Δ-	If thresholds aren’t visible, crossings become surprises

Unique property: Epistemic Affordance is orthogonal to other trigger types. It operates as a multiplier or mask on everything else. A system can survive high Load if it can see it; the same Load becomes catastrophic if invisible.

Canonical specimen: Algorithmic social media (2009–2012 emergence) — Epistemic Affordance (Δ±, net destabilizing). Didn’t change incentives or constraints directly. Changed speed, fidelity, and selection dynamics of information transmission. Amplified emotionally resonant content; suppressed complexity. Made certain loads hypervisible while masking structural causes.

Additional specimens:

FOIA (1966) — Epistemic Affordance (Δ+). Made state actions knowable. Increased system self-visibility.
Credit scoring normalization — Epistemic Affordance (Δ±). Made certain behaviors legible to institutions; made other behaviors invisible.
Fairness Doctrine elimination (1987) — Epistemic Affordance (Δ-). Removed information-balance mechanism. Reduced constraint on narrative fragmentation.

Interaction Operators

When multiple Drift Triggers co-occur or sequence, their effects combine according to these operators. This grammar explains why trigger stacks go nonlinear.

Operator Definitions

Amplification

Definition: Trigger A makes Trigger B’s effects stronger without creating new pathways.

SM-level effect: Multiplicative increase in Load rate, Buffer depletion, or Threshold stress.

Recognition pattern: “B was already happening, but A made it worse.”

Canonical example: Citizens United (feedback gain) amplified Powell Memo effects (incentive rebinding). The capture dynamic existed; the loop tightening made it faster and harder to resist.

Formal notation: A × B → B’ where |B’| > |B|

Coupling

Definition: Trigger A creates a new feedback pathway between previously independent domains.

SM-level effect: Load in Domain X now affects Buffer in Domain Y. Stress transmits across formerly isolated systems.

Recognition pattern: “These two things never used to be connected.”

Canonical example: Financialization of housing coupled consumer credit to capital markets. Mortgage defaults (housing domain) transmitted directly to bank solvency (financial domain) transmitted to employment (labor domain). Previously, housing downturns were local.

Formal notation: A creates pathway P where Load_X → Buffer_Y

Ratcheting

Definition: Trigger A reduces reversibility of system state. One-way door.

SM-level effect: Threshold crossings become permanent. Buffer depletion cannot be recovered through normal means.

Recognition pattern: “We can’t go back to how it was.”

Canonical example: WTO accession (constraint lock-in) ratcheted trade liberalization. Reversal became structurally expensive—supranational arbitration, treaty obligations, supply chain dependencies. Each step forward closed the door behind.

Formal notation: A converts reversible state S to irreversible state S’ where ΔS⁻¹ → ∞

Acceleration

Definition: Trigger A reduces lag time between actions and consequences, or between trigger and effect.

SM-level effect: Direct Lag reduction. Secondary: Load becomes visible faster, potentially enabling response—OR exploitation cycles shorten, preventing response.

Recognition pattern: “Things are moving faster than they used to.”

Canonical example: Algorithmic trading compressed market response times from hours to milliseconds. Flash crashes became possible. Information advantages decayed faster. Feedback loops that once took weeks now completed in seconds.

Formal notation: A reduces Lag(B) where Lag'(B) < Lag(B)

Substitution

Definition: Pressure blocked in Domain X reroutes to Domain Y. System finds alternative expression.

SM-level effect: Load doesn’t disappear—it moves. Buffer depletion shifts to less protected domain.

Recognition pattern: “We fixed the symptom but the problem showed up somewhere else.”

Canonical example: Political gridlock (blocked institutional change) substituted into cultural proxy wars. Economic stress that couldn’t express as policy change expressed as identity conflict. The Load remained; only the surface manifestation changed.

Formal notation: Block(Load_X) → Redirect(Load_Y) where Load_total is conserved

Synchronization

Definition: Previously asynchronous cycles align their phases, producing simultaneous peak stress.

SM-level effect: Multiple Loads crest together. Multiple Buffers deplete together. Multiple Thresholds approach together. Compound stress exceeds any single-domain tolerance.

Recognition pattern: “Why is everything breaking at once?”

Difference from Coupling: Coupling creates new pathways. Synchronization doesn’t create connections—it aligns timing of existing independent cycles.

Canonical example: Late 2010s–2020s convergence: generational turnover (Boomers exiting institutional leadership), debt cycle maturation (post-2008 stimulus unwinding), political realignment (party coalitions fragmenting), media ecosystem transformation (social media maturation). None caused the others. All peaked simultaneously. Each would be survivable alone.

Formal notation: Phase(Cycle_A) ≈ Phase(Cycle_B) ≈ Phase(Cycle_C) at time T

Interaction Stack: Worked Example

The Powell Chain: Incentive Rebinding → Feedback Gain → Epistemic Shift

Stage	Trigger	Type	SM Effect	Interaction
1971	Powell Memo	Incentive Rebinding	Load direction shifts toward capture; Buffer (civic trust) begins depleting	Initial condition
1976–1990s	Think tank / lobbying infrastructure	Legitimacy Allocation	Threshold enforcement shifts; business perspectives gain authority standing	Amplifies Stage 1
2010	Citizens United	Feedback Loop Gain	Load rate increases; Lag compresses (faster money-policy cycles)	Amplifies + Accelerates
2009–2015	Algorithmic social media	Epistemic Affordance	Visibility distortion; structural causes masked; emotional content amplified	Masks load accumulation

Interaction grammar applied:

Stage 2 amplified Stage 1 (multiplicative)
Stage 3 amplified + accelerated the stack (multiplicative + lag reduction)
Stage 4 masked cumulative load while accelerating cultural symptoms

Result: A 40-year drift that felt gradual until it didn’t. Each stage survivable alone. The stack produced legitimacy erosion that appears sudden but was structurally predetermined.

Key insight: The interaction grammar reveals that this wasn’t a conspiracy or a single cause. It was rational actors responding to sequentially altered parameters, with each alteration making the next one’s effects worse. No coordination required—just compounding.

Diagnostic Use

Identifying Active Triggers

For any observed system stress, ask:

What behaviors are being rewarded that weren’t before? → Incentive Rebinding
Who has gained or lost authority to define reality? → Legitimacy Allocation
What used to be possible that isn’t anymore (or vice versa)? → Constraint Surfaces
Are feedback cycles faster or stronger than before? → Feedback Loop Gain
Are consequences arriving sooner or later than they should? → Temporal Alignment
Has the system’s ability to see itself changed? → Epistemic Affordance

Identifying Active Operators

For any observed nonlinear system behavior, ask:

Is something making an existing dynamic worse? → Amplification
Are previously separate domains now connected? → Coupling
Is reversal becoming structurally harder? → Ratcheting
Are cycles completing faster? → Acceleration
Did fixing one problem create another? → Substitution
Are multiple independent cycles peaking together? → Synchronization

Integration Notes

This specification slots into the NeuroSaeculum Framework as follows:

Volume 0 (Foundations): Drift Triggers are the intervention layer between SM primitives and observable outcomes
Crisis Tracker: Trigger identification should accompany Load/Buffer assessments
Pattern Library: Historical specimens should be coded by trigger type and interaction stack
Predictive use: Turning onset probability increases when multiple trigger types are active AND interaction operators produce nonlinear stacking

Relationship to Turning Triggers: Drift Triggers operate below narrative rupture. They produce the preconditions. When accumulated drift crosses Thresholds, Turning Triggers (Seismic Narrative Shifts) become possible. Drift Triggers are necessary but not sufficient for Turnings.

Trigger Conditions and Failure Modes

Technical Specification Addendum

This section expands on the Foundations entry “Trigger Conditions and Failure Modes” with detailed precondition analysis, diagnostic protocols, and annotated negative cases for analyst use.

Preconditions for Drift Trigger Success

Drift Triggers are conditionally operative. The same intervention produces different results depending on system state at the time of introduction. This table specifies each necessary condition, its diagnostic indicators, and common failure signatures.

Condition 1: Institutional Transmission Pathways

Aspect	Specification
Definition	Durable mechanisms that propagate parameter changes beyond the initial intervention, independent of attention cycles
Examples	Think tanks, legal foundations, professional associations, funding networks, career advancement structures, court precedents, regulatory capture points
Diagnostic question	“If media attention disappeared tomorrow, would this intervention still propagate?”
Success indicator	Changes persist and compound after triggering event is forgotten
Failure signature	Effects decay proportionally to attention; no structural residue remains

Key insight: Visibility is neither necessary nor sufficient. The Powell Memo operated through elite channels with minimal public awareness. Occupy achieved massive visibility with no transmission pathway. The pathway is the requirement, not the audience.

Condition 2: Gradient Alignment

Aspect	Specification
Definition	Relationship between trigger direction and existing system incentive structures
Aligned triggers	Work WITH existing reward gradients; make desired behavior rational within current structures
Opposed triggers	Work AGAINST existing gradients; require actors to accept costs the system doesn’t compensate
Diagnostic question	“Does this make the target behavior more or less rational given existing rewards?”
Success indicator	Actors adopt new behavior voluntarily because it advances their interests
Failure signature	Adoption requires sustained external pressure; behavior reverts when pressure relaxes

Gradient assessment protocol:

Identify target behavior change
Map current incentive structure for relevant actors
Assess whether trigger aligns or opposes that structure
If opposed: identify what sustained force or new pathway could overcome resistance
If aligned: assess whether amplification mechanisms exist

Key insight: Symmetric resource investment does not produce symmetric outcomes when underlying gradients differ. Corporate capture aligned with profit motive; progressive equivalents often require sacrifice the system doesn’t reward.

Condition 3: Conducive Buffer State

Aspect	Specification
Definition	System capacity to absorb and institutionalize new constraints without immediate rejection
High-buffer environment	System can lock in new parameters; has slack to accommodate change
Low-buffer environment	System is brittle; changes either fail to take or trigger cascade
Diagnostic question	“Does the system have capacity to institutionalize this change, or is it already at threshold?”
Success indicator	New constraints become normalized operational parameters
Failure signature	System rejects change (insufficient capacity) or change triggers uncontrolled cascade (no buffer to absorb)

Buffer state interaction with trigger type:

Buffer State	Constraint Surface triggers	Feedback Loop Gain triggers
High buffer	Lock in successfully; become durable	Amplification absorbed; effects compound slowly
Low buffer	May fail to lock (system can’t absorb) or trigger cascade	Amplification exceeds damping; overshoot likely
Depleted	Constraint changes destabilize rather than restructure	Any gain increase risks runaway

Key insight: TPP failed in part because buffer state had changed since WTO/NAFTA. The same trigger type that succeeded in high-buffer 1990s failed in depleted-buffer 2010s.

Condition 4: Conducive Epistemic Environment

Aspect	Specification
Definition	Information conditions that permit trigger effects to compound without premature corrective response
Conducive conditions	Consequences maskable, narratively containable, or arriving beyond accountability horizons
Hostile conditions	Consequences visible, legible to affected populations, attributable to trigger source
Diagnostic question	“Can the system see what this trigger is doing before the ratchet closes?”
Success indicator	Effects compound before opposition mobilizes
Failure signature	Visibility enables counter-mobilization; ratchet interrupted

Epistemic environment factors:

Lag visibility: Are consequences immediate or delayed?
Attribution clarity: Can effects be traced to cause?
Narrative capture: Who controls the interpretation of what’s happening?
Counter-mobilization capacity: Can affected actors organize before closure?

Key insight: Algorithmic media changed the epistemic environment. Consequences that were previously maskable became legible. This partially explains why trigger types that succeeded pre-2010 (trade agreements, regulatory capture) face more resistance post-2010.

Condition 5: Institutional Closure Before Reversal

Aspect	Specification
Definition	Irreversibility threshold crossed before opposition can mobilize effective reversal
Closure mechanisms	Treaty ratification, court precedent, regulatory implementation, infrastructure lock-in, career structure normalization
Diagnostic question	“Has the one-way door closed?”
Success indicator	Reversal becomes structurally expensive; path dependency established
Failure signature	Opposition achieves reversal before institutionalization completes

Closure timeline assessment:

Trigger Type	Typical closure mechanism	Typical closure timeline
Incentive Rebinding	Career structure normalization	10-20 years
Legitimacy Allocation	Court precedent accumulation	5-15 years
Constraint Surfaces	Treaty/regulatory implementation	2-10 years
Feedback Loop Gain	Market structure adaptation	1-5 years
Temporal Alignment	Accounting/compensation norm adoption	5-15 years
Epistemic Affordance	Infrastructure deployment	3-10 years

Key insight: TPP was stopped before ratification. WTO was not. The difference is closure timing, not trigger quality.

Blocking Patterns: Detailed Analysis

Pattern 1: Narrative Spike Without Institutional Uptake

Mechanism: High visibility generates resonance but creates no durable transmission pathway. When attention moves, nothing structural remains.

Diagnostic indicators:

Media coverage intensity uncorrelated with institutional change
Elite adoption absent or superficial
No career incentive realignment
No funding structure changes
No legal/regulatory pathway engagement

Canonical case: Occupy Wall Street (2011)

Detailed analysis:

Dimension	Assessment
Visibility	Extremely high; dominated news cycles for months
Narrative resonance	Strong; “We are the 99%” entered vocabulary
Elite adoption	Minimal; some rhetorical acknowledgment, no behavior change
Institutional pathway	None created; no think tanks, legal foundations, or career structures
Funding network	Absent; no durable financial infrastructure
Closure mechanism	None attempted
Outcome	Attention-dependent; dissolved when coverage faded

Why it failed (trigger condition analysis):

Condition	Status
Transmission pathways	❌ None created
Gradient alignment	❌ Opposed existing elite incentives
Buffer state	⚠️ Neutral (post-2008 but pre-exhaustion)
Epistemic environment	✓ Favorable (inequality visible)
Closure achieved	❌ Never attempted

Load disposition: Pressure did not disappear. Substitution operator routed it into cultural identity channels (progressive vs. populist framing) where it could not produce structural ratcheting. Load was conserved but domain-shifted.

Pattern 2: Ratchet Interrupted Before Closure

Mechanism: Trigger engages institutional pathway but opposition achieves reversal before irreversibility threshold is crossed.

Diagnostic indicators:

Formal process initiated (legislation, treaty negotiation, regulatory proposal)
Counter-mobilization emerges during process
Process fails at ratification/implementation stage
Reversal occurs; status quo ante preserved

Canonical case: Trans-Pacific Partnership (2015-2017)

Detailed analysis:

Dimension	Assessment
Trigger type	Constraint Surface (lock-in attempt)
Institutional pathway	Formal treaty process; elite consensus strong
Expected closure	Ratification would create binding supranational obligations
Counter-mobilization	Cross-ideological (Sanders left, Trump right)
Epistemic shift	Trade consequences became legible; “free trade” lost uncontested legitimacy
Closure status	Interrupted; ratification never occurred
Reversibility	Preserved; no structural residue

Why it failed (trigger condition analysis):

Condition	Status
Transmission pathways	✓ Existed (trade policy infrastructure)
Gradient alignment	⚠️ Elite-aligned but populace-opposed
Buffer state	❌ Depleted (late Unraveling; system couldn’t absorb)
Epistemic environment	❌ Hostile (consequences visible; attribution clear)
Closure achieved	❌ Interrupted before ratification

Comparison with successful precedents:

Factor	WTO/NAFTA (1990s)	TPP (2015-17)
Buffer state	High (early Unraveling)	Depleted (late Unraveling)
Elite consensus	Unchallenged	Fragmenting
Epistemic environment	Consequences not yet visible	Consequences legible
Counter-mobilization	Weak, uncoordinated	Strong, cross-ideological, synchronized
Outcome	Closure achieved	Ratchet interrupted

Key insight: Same trigger type, different system state, different outcome. Drift Triggers are context-sensitive.

Pattern 3: Gradient Opposition Exceeding Input Force

Mechanism: Trigger works against existing system incentives. Without sufficient sustained force or new pathway construction, effects dissipate when input relaxes.

Diagnostic indicators:

Target behavior change requires actors to accept uncompensated costs
Adoption correlates with external pressure intensity
Behavior reverts when pressure relaxes
No self-reinforcing feedback loop established

Canonical case: Progressive institutional strategies (ongoing)

Detailed analysis:

The asymmetry between Powell Memo effects and progressive equivalents is not resource-based but gradient-based.

Dimension	Powell Stack	Progressive Equivalents
Gradient alignment	WITH profit motive	AGAINST profit motive
Actor cost	Political engagement became profitable	Political engagement requires sacrifice
Feedback loop	Money → policy → money (self-reinforcing)	Requires external funding (not self-reinforcing)
Temporal alignment	Benefits within executive tenure	Benefits beyond career horizons
Legitimacy baseline	Business = “neutral/technical”	Progressive = “ideological/political”

Why asymmetry persists (trigger condition analysis):

Condition	Corporate Capture	Progressive Equivalent
Transmission pathways	Built deliberately (think tanks, legal foundations)	Exist but less connected to power surfaces
Gradient alignment	✓ Aligned with profit motive	❌ Opposed to dominant incentives
Buffer state	N/A (operates across buffer states)	N/A (but faces more resistance in depleted states)
Epistemic environment	Favorable (framed as “economic realism”)	Hostile (framed as “ideology”)
Closure achieved	Multiple closures (court precedents, regulatory capture)	Closures repeatedly reversed or blocked

What would change the asymmetry:

For opposed-gradient triggers to succeed, they must:

Build new transmission pathways that bypass existing power surfaces, OR
Sustain multigenerational time horizons (outlast opposition), OR
Create self-reinforcing feedback loops (returns fund continuation), OR
Wait for system conditions that temporarily neutralize gradient opposition

Key insight: Symmetric resources don’t produce symmetric outcomes when underlying system has directional bias. The gradient is structural, not tactical.

Pattern 4: Substitution Into Non-Ratcheting Domains

Mechanism: System absorbs pressure by rerouting it into symbolic, cultural, or identity channels where it cannot produce structural parameter shifts.

Diagnostic indicators:

Visible conflict intensity high
Structural parameters unchanged
Energy absorbed by proxy battles
Original systemic target untouched

How substitution works:

Original pressure → Structural target (blocked)
                  ↓
          Substitution operator activates
                  ↓
         Pressure reroutes to → Cultural/identity domain
                              ↓
                   Energy expended in proxy conflict
                              ↓
                   Load conserved but non-ratcheting

Substitution sinks (common destinations):

Sink Type	Characteristics	Why Non-Ratcheting
Culture war proxies	High emotional intensity, tribal sorting	No institutional closure mechanism
Electoral cycles	Periodic energy discharge	Resets without structural change
Symbolic victories	Visible but parameter-neutral	Changes narrative, not mechanics
Blame attribution	Satisfies anger without correction	Identifies villains, not levers

Diagnostic question: “Is the energy producing parameter shifts, or is it being absorbed by proxy conflicts?”

Diagnostic Protocol: Assessing Trigger Viability

When evaluating whether a potential or observed Drift Trigger will produce durable effects, apply the following protocol:

Step 1: Identify Trigger Type

Which of the six types is this?

Actor-Level: Incentive Rebinding / Legitimacy Allocation
System-Level: Constraint Surfaces / Feedback Loop Gain / Temporal Alignment
Information-Level: Epistemic Affordance

Step 2: Assess Necessary Conditions

Condition	Present?	Evidence
Institutional transmission pathway
Gradient alignment (or override capacity)
Conducive buffer state
Conducive epistemic environment
Closure mechanism identified

Step 3: Identify Blocking Pattern Risk

Pattern	Risk Level	Mitigation
Narrative Spike without uptake
Ratchet interruption
Gradient opposition
Substitution sink

Step 4: Assess Closure Timeline

What is the closure mechanism?
What is the estimated timeline to closure?
What counter-mobilization is possible before closure?
Is closure faster than opposition coordination?

Step 5: Conditional Prediction

Based on assessment:

All conditions present, low blocking risk: Trigger likely to produce durable drift
Some conditions absent, moderate blocking risk: Trigger may produce partial effects or delayed drift
Key conditions absent, high blocking risk: Trigger likely to fizzle; effects will not persist

Note: This assessment is diagnostic, not deterministic. Conditions indicate possibility, not certainty.

Additional Negative Cases (Accumulating)

This section will accumulate additional negative cases as they are analyzed. Each case should include:

Trigger type attempted
Condition assessment table
Blocking pattern identified
Load disposition (where did the energy go?)
Key insight

[Space reserved for future cases]

Integration Notes

This specification extends the Foundations entry by providing:

Detailed condition specifications with diagnostic questions
Blocking pattern mechanisms with worked examples
Diagnostic protocol for field assessment
Accumulating negative case repository

Relationship to other Technical Specification sections:

SM Mapping Table: Conditions assessment depends on understanding which primitives are targeted
Interaction Operators: Blocking patterns often involve operator dynamics (Substitution, Synchronization of opposition)
Diagnostic Use: Protocol above extends the diagnostic questions from the main specification