How to Manage Constraint Migration During Transformation: The Whack-a-Mole Strategy That Works
Table of Contents
- What Is the Physics of Constraint Migration?
- What Is the Hidden Cost of Constraint Surprise?
- What Are the Five Laws of Constraint Migration?
- How Does the PREDICT Framework Manage Constraints?
- How Do You Manage Constraint Migration Practically?
- What Are Advanced Constraint Migration Strategies?
- How Did the Predictable Transformation Case Study Unfold?
- How Do You Build Organizational Constraint Intelligence?
- What Are Common Constraint Migration Patterns by Industry?
- What Is Your Constraint Migration Playbook?
- What Technology Enables Constraint Management?
- What Is the Competitive Advantage of Constraint Mastery?
- How Do You Transform from Whack-a-Mole to Chess?
- People Also Ask
- Key Takeaways
- Frequently Asked Questions
Transformation is like playing whack-a-mole with Stagnation Nodes. You neutralize one bottleneck, and another surfaces immediately. Fix manufacturing capacity, and suddenly sales becomes the chokepoint. Solve sales, and product development can’t keep up. Most leaders see this as failure. It’s actually Orthodoxy-Smashing in motion—if you manage it systematically.
I discovered this during a retail equipment transformation. We’d finally solved our chronic manufacturing bottleneck through automation and flexible scheduling. The team celebrated for exactly one day. Then orders started piling up in engineering. Our constraint had migrated, and we weren’t prepared.
That experience taught me a crucial lesson: Constraint migration isn’t a problem to avoid—it’s a natural consequence of improvement that must be actively managed. The organizations that win are those that perform Pattern Reading on constraint shifts, not those that try to prevent them.
What Is the Physics of Constraint Migration?
Constraint migration refers to the predictable movement of Stagnation Nodes through a system as improvements are made—when one constraint is resolved, another element becomes the new limiting factor, and mastering these migration patterns transforms reactive firefighting into strategic advantage.
Every system has a constraint. This isn’t philosophy—it’s physics. Eliyahu Goldratt proved this in “The Goal,” showing that the constraint determines system throughput. Improve the constraint, and another element becomes the new limiting factor. This migration is as inevitable as water flowing downhill.
But here’s what Goldratt didn’t emphasize enough: the speed and pattern of constraint migration can be predicted and managed. Through dozens of transformations, I’ve discovered that constraints migrate in predictable patterns—from obvious to hidden, from physical to informational, from internal to external, from technical to human, and from operational to strategic.
Understanding these patterns transforms constraint migration from crisis to opportunity.
Todd’s Take: “Most leaders treat constraint migration like an unexpected storm. But it’s more like the tides—completely predictable if you know what to watch. The real failure isn’t that constraints migrate. The real failure is being surprised when they do.”
What Is the Hidden Cost of Constraint Surprise?
Unexpected constraint migration creates devastating organizational costs including momentum loss, resource waste, morale destruction, customer disruption, and strategic confusion—with approximately 70 percent of transformation efforts failing, largely because leaders cannot perform Pattern Reading on bottleneck shifts.
When Stagnation Nodes migrate unexpectedly, the costs are brutal. Momentum Loss: Teams celebrating victory suddenly face new crises. Resource Waste: Investments in solving old constraints become underutilized. Morale Impact: A “we can never win” mindset develops. Customer Disruption: Service levels fluctuate wildly. Strategic Confusion: Leadership loses confidence in transformation.
I calculated the impact across multiple organizations. Unexpected constraint migration typically costs 20-40% of transformation value through these disruptions. But managed migration? It accelerates transformation by maintaining momentum and focus.
[CFO STRATEGY] The EBITDA Impact of Constraint Surprise
Unmanaged constraint migration directly erodes EBITDA through three mechanisms. First, resource misallocation—when constraints shift unexpectedly, teams continue investing in solved problems while new bottlenecks strangle throughput, creating a 15-25% drag on operational margin. Second, throughput volatility—wildly fluctuating output prevents accurate revenue forecasting and inventory optimization, inflating working capital requirements by 10-20%. Third, transformation timeline extension—each unexpected migration adds 3-6 months to transformation timelines, deferring projected EBITDA improvements and increasing the total cost of transformation by 30-50%. In a $200M revenue business running at 12% EBITDA, unmanaged constraint migration can represent $5-10M in annual value destruction. Systematic constraint prediction and the PREDICT Framework recapture this value by maintaining throughput momentum and eliminating reactive resource reallocation.
What Are the Five Laws of Constraint Migration?
The Five Laws of Constraint Migration are fundamental principles governing how Stagnation Nodes move through organizational systems—Conservation, Upstream Pressure, Acceleration, Complexity Attraction, and Human Convergence—and mastering them enables leaders to predict and prepare rather than react and scramble.
Law 1: Conservation of Constraint
Constraints never disappear—they migrate. Total system constraint remains constant; only its location changes. This means “solving” constraints is actually about choosing where you want them to live.
At a manufacturing company, we “solved” production capacity. The constraint migrated to order processing. We hadn’t eliminated constraint—we’d moved it from a $50/hour resource (production) to a $25/hour resource (administration). That’s progress, and that’s the kind of Pattern Reading that separates transformation leaders from transformation casualties.
Law 2: Upstream Pressure
Constraints tend to migrate upstream in value chains. Solve delivery, face production issues. Solve production, face supply problems. Solve supply, face design constraints.
This creates a paradox: the better you get at execution, the more pressure builds on planning and design. Many transformations fail because they’re unprepared for this upstream migration.
Law 3: Constraint Acceleration
As you improve, constraints migrate faster. Early in transformation, a Stagnation Node might persist for months. Later, constraints can shift weekly or even daily. This acceleration demands increasingly sophisticated management approaches.
Law 4: Complexity Attraction
Constraints migrate toward complexity. Simple problems get solved; complex ones become new constraints. This means each successive Stagnation Node is typically harder to neutralize than the last—unless you’re systematically reducing complexity through Orthodoxy-Smashing.
Law 5: Human Convergence
Eventually, all constraints become human constraints. Technology scales. Processes optimize. But human capacity—for decisions, creativity, adaptation—becomes the ultimate limiting factor. Successful transformations prepare for this from day one.
Todd’s Take: “Law 5 is the one that surprises every leader I work with. You can automate everything, optimize every process, deploy every technology—and you’ll still hit a wall. That wall is human decision-making bandwidth. Every transformation I’ve led ultimately comes down to building leadership capacity faster than constraints can migrate there.”
[BUS FACTOR ALERT] The Single-Point-of-Failure Risk in Constraint Management
Constraint intelligence is among the most dangerous single-point-of-failure risks in any transformation. If your Pattern Reading capability lives in one leader’s head—the person who maps migrations, predicts shifts, and orchestrates responses—you are one resignation, health event, or reassignment away from losing your entire constraint management capability. This is especially critical given Law 5 (Human Convergence): your constraint management system itself can become a human constraint. The fix: document every migration pattern in shared systems, train at least three leaders in PREDICT Framework execution, rotate constraint monitoring responsibility quarterly, and build prediction models that any competent leader can interpret. Your constraint intelligence must be organizational, not personal.
How Does the PREDICT Framework Manage Constraints?
The PREDICT Framework is a seven-component methodology for managing constraint migration proactively—Pattern Recognition, Resource Pre-positioning, Early Warning Systems, Dynamic Response Plans, Iteration Learning, Continuous Monitoring, and Transformation Integration—turning reactive crisis management into predictive Stagnation Node control.
P – Pattern Recognition
Map your constraint history: What Stagnation Nodes have you faced? In what order did they appear? How long did each last? What triggered migration?
At one company, we discovered a three-month cycle: Operations → Sales → Product → Operations. This pattern had repeated for years. Recognizing it let us prepare three months ahead.
R – Resource Pre-positioning
Put resources where constraints will migrate. Cross-train before needed. Build capacity ahead of demand. Create flexible resource pools. Develop surge capabilities.
We trained customer service reps in basic engineering before solving our manufacturing constraint. When orders surged and engineering became constrained, we had ready capacity.
E – Early Warning Systems
Build detection mechanisms: leading indicators for each potential constraint, automated monitoring dashboards, trend analysis algorithms, and regular constraint review meetings.
Key insight: By the time a Stagnation Node is obvious, it’s too late. You need warning systems that detect emerging constraints before they throttle throughput.
D – Dynamic Response Plans
Create pre-planned responses: If X becomes constrained, do Y. Pre-approved resource shifts. Escalation triggers defined. Decision rights clarified. This transforms crisis management into execution of pre-planned responses.
I – Iteration Learning
Every migration teaches lessons: Why did we miss this prediction? How can we detect earlier? What worked in our response? How do we improve next time? Document everything. Constraint migration patterns become organizational intelligence.
C – Continuous Monitoring
Constraint management never stops: daily constraint status, weekly migration analysis, monthly pattern review, quarterly strategy adjustment. This vigilance prevents surprise and maintains momentum.
T – Transformation Integration
Link constraint management to broader transformation: align with strategic priorities, connect to value creation, integrate with other initiatives, use as transformation accelerator. Constraint migration, properly managed, drives transformation forward.
Todd’s Take: “The PREDICT Framework isn’t theoretical—it was forged in the fire of actual transformations where getting constraint migration wrong meant real financial consequences. The ‘I’ in PREDICT—Iteration Learning—is where most organizations fall short. They solve the crisis and move on without capturing what they learned. That’s organizational amnesia, and it guarantees you’ll be surprised by the same migration pattern again.”
How Do You Manage Constraint Migration Practically?
Practical constraint migration management follows four sequential stages—Current Constraint Optimization, Next Constraint Preparation, Migration Management, and Post-Migration Optimization—each with specific protocols that ensure smooth transitions and sustained momentum throughout transformation.
Stage 1: Current Constraint Optimization
Before worrying about migration, maximize current constraint performance. The Focus Protocol: Identify the single biggest Stagnation Node. Dedicate 80% of improvement resources to it. Protect it from non-essential work. Measure throughput improvement daily.
Common Mistakes to Avoid: Trying to fix multiple constraints simultaneously. Under-investing in constraint resolution. Declaring victory too early. Ignoring early migration signals.
Stage 2: Next Constraint Preparation
While optimizing current constraints, prepare for migration. The Readiness Checklist: Identify top 3 likely next constraints. Build capability in those areas. Create surge capacity plans. Establish monitoring systems.
Example: While solving production constraints, we simultaneously trained sales teams on technical products, knowing sales would become the next Stagnation Node.
Stage 3: Migration Management
When constraints begin migrating, execute The Response Protocol: Confirm migration through data (not perception). Activate pre-planned responses. Shift resources systematically. Communicate changes broadly. Monitor new constraint performance.
Critical Success Factors: Speed of recognition. Clarity of communication. Decisiveness of action. Unity of response.
Stage 4: Post-Migration Optimization
After migration stabilizes, capture learning: Document what happened. Analyze prediction accuracy. Identify improvement opportunities. Update response plans. Refine detection mechanisms. Build organizational capability. Prepare for next migration.
What Are Advanced Constraint Migration Strategies?
Advanced constraint migration strategies go beyond basic management to create competitive advantage through Induced Migration, Constraint Portfolio Management, External Constraint Management, Constraint Arbitrage, and Constraint Platform Building—each representing an Orthodoxy-Smashing approach to bottleneck control.
Strategy 1: Induced Migration
Don’t wait for natural migration—force it strategically. Deliberately over-invest in the current constraint. Create capacity that forces migration. Control where constraints move. Accelerate transformation pace.
We once tripled manufacturing capacity knowing it would expose sales weakness. But we were ready with new sales tools and training. Controlled crisis beats unexpected crisis every time.
Strategy 2: Constraint Portfolio Management
Manage multiple sub-constraints simultaneously. Think investment portfolio: 60% on primary Stagnation Node, 30% on secondary, 10% on emerging. This proportional investment smooths migrations and prevents violent shifts.
Strategy 3: External Constraint Management
When constraints migrate outside your organization—supplier capacity limits, customer adoption rates, regulatory approval speeds, market development pace—build influence strategies for external constraints you can’t control directly.
Strategy 4: Constraint Arbitrage
Use constraint differences for competitive advantage. Your constraint: Sales capability. Competitor constraint: Manufacturing. Strategy: Partner for manufacturing, dominate sales. Understanding competitor Stagnation Nodes creates strategic opportunities.
Strategy 5: Constraint Platform Building
Create platforms that handle multiple constraint types: flexible manufacturing cells, cross-trained teams, modular technology, agile processes. Platforms reduce migration disruption by absorbing multiple constraint types without system-wide reorganization.
How Did the Predictable Transformation Case Study Unfold?
A food equipment manufacturer predicted every constraint migration within two weeks of actual occurrence using the PREDICT Framework, completing their transformation in 18 months versus the typical 36-month timeline—demonstrating that systematic Pattern Reading cuts transformation time in half.
Initial State Analysis
Food equipment manufacturer with four identified Stagnation Nodes: Primary constraint was manufacturing capacity. Secondary was product complexity. Tertiary was sales effectiveness. Hidden was leadership decision speed.
Prediction Mapping
We predicted the migration sequence: Manufacturing → Product Development (3 months). Product Development → Sales (6 months). Sales → Customer Service (9 months). Customer Service → Leadership Bandwidth (12 months).
Preparation Investment
Month 1-3: Trained engineers while solving manufacturing. Month 4-6: Built sales tools while solving development. Month 7-9: Scaled service while solving sales. Month 10-12: Developed leaders while solving service.
Results
Every constraint migration happened within two weeks of prediction. Each migration found prepared resources. Momentum never slowed. Teams felt empowered, not overwhelmed. Transformation accelerated continuously. Total impact: Completed transformation in 18 months versus typical 36. Constraint management cut transformation time in half.
Todd’s Take: “This case study is the proof point I share with every skeptical executive. When I tell leaders that constraint migration is predictable, they push back—until they see the data. Every single migration in this transformation landed within two weeks of our prediction. That’s not luck. That’s Pattern Reading applied systematically.”
How Do You Build Organizational Constraint Intelligence?
Organizational constraint intelligence encompasses the cultural, structural, process, and capability elements that enable systematic Stagnation Node management across an enterprise—building this intelligence requires shared understanding of constraint patterns, supporting structures, repeatable processes, and predictive capabilities.
Cultural Elements: Constraints viewed as opportunities. Migration seen as progress. Prediction valued over reaction. Learning captured from every migration.
Structural Elements: Constraint management roles defined. Migration prediction embedded in planning. Resources allocated for flexibility. Systems designed for adaptation.
Process Elements: Daily constraint monitoring. Weekly migration assessment. Monthly prediction updates. Quarterly strategy evolution.
Capability Elements: Pattern Reading skills developed at every level. Prediction methodologies standardized. Response protocols rehearsed. Learning systems maintained.
The Stagnation Intelligence Agency, the research arm of Stagnation Assassins (DBA of Stagnation Solutions Inc.), provides the frameworks and diagnostic tools that power this kind of organizational constraint intelligence. Through proprietary methodologies including the PREDICT Framework and constraint migration mapping, leaders gain access to battle-tested resources for identifying and neutralizing Stagnation Nodes before they metastasize. Explore the full intelligence library at stagnationassassins.com.
What Are Common Constraint Migration Patterns by Industry?
Different industries exhibit characteristic constraint migration patterns that inform Pattern Reading and prediction—manufacturing follows production-to-supply-chain sequences, technology moves from development speed through architecture, and understanding these industry-specific signatures accelerates prediction accuracy significantly.
Manufacturing: Production capacity → Supply chain → Product development → Sales capability → Service capacity
Technology: Development speed → Technical architecture → Sales effectiveness → Implementation capacity → Support scalability
Retail: Inventory management → Store operations → Supply chain → Customer experience → Digital integration
Services: Delivery capacity → Quality consistency → Sales effectiveness → Talent availability → Technology platform
While patterns exist, each organization’s sequence is unique. Use industry patterns as starting points for Pattern Reading, not rigid rules. Your constraint history is your best predictor—document it relentlessly.
What Is Your Constraint Migration Playbook?
A constraint migration playbook provides a week-by-week implementation guide for establishing systematic Stagnation Node management—covering baseline assessment, preparation planning, system implementation, active management, and ongoing evolution in a structured sequence.
Week 1: Baseline Assessment. Map current constraints. Document historical migrations. Identify patterns. Predict next Stagnation Node.
Week 2: Preparation Planning. Design response strategies. Allocate preparation resources. Build detection systems. Create communication plans.
Week 3: System Implementation. Launch monitoring dashboards. Train response teams. Test escalation protocols. Refine predictions.
Week 4: Active Management. Begin daily monitoring. Execute first responses. Capture early learnings. Adjust approaches.
Ongoing: Continuous Evolution. Weekly migration reviews. Monthly prediction updates. Quarterly strategy refinement. Annual system overhaul.
The key is starting before you need it. Constraint management is insurance—buy it before the fire.
What Technology Enables Constraint Management?
Modern technology significantly enhances constraint management precision through predictive analytics, real-time monitoring, resource orchestration, and learning platforms—these tools amplify human Pattern Reading by enabling early warning detection, dynamic resource allocation, and systematic knowledge capture.
Predictive Analytics: Machine learning for pattern recognition. Predictive modeling for migration timing. Anomaly detection for early warning. Scenario planning for preparation.
Real-Time Monitoring: IoT sensors for physical constraints. Process mining for workflow constraints. Dashboard integration for visibility. Alert systems for rapid response.
Resource Orchestration: Dynamic allocation algorithms. Skill matching systems. Capacity planning tools. Optimization engines.
Learning Platforms: Knowledge capture systems. Pattern libraries. Best practice repositories. Training delivery mechanisms.
Technology amplifies human judgment but doesn’t replace it. As Deloitte’s manufacturing research confirms, even as technology capabilities accelerate, transformation success still comes down to people.
What Is the Competitive Advantage of Constraint Mastery?
Constraint mastery creates sustainable competitive advantages across four dimensions—transformation velocity (50% faster), operational excellence (30% better resource utilization), strategic agility (faster market response), and cultural strength (resilient change capability)—advantages that compound over time into an insurmountable moat.
Transformation Velocity: 50% faster transformations. Sustained momentum. Reduced transformation risk. Higher success rates.
Operational Excellence: 30% better resource utilization. Improved service consistency. Enhanced quality levels. Greater flexibility.
Strategic Agility: Faster market response. Better opportunity capture. Enhanced innovation. Competitive resilience.
Cultural Strength: Growth mindset. Problem-solving culture. Continuous improvement. Change resilience.
These compound over time, creating widening gaps versus competitors who remain trapped in reactive whack-a-mole.
How Do You Transform from Whack-a-Mole to Chess?
Transforming from whack-a-mole to chess requires shifting from reactive constraint firefighting to proactive strategic management—recognizing that Stagnation Node migration follows predictable patterns, implementing systematic prediction frameworks, and viewing migration as progress rather than failure.
Most organizations play whack-a-mole with constraints—reactive, exhausting, never-ending. But constraint migration isn’t random. It follows patterns. It can be predicted. It can be managed. It can be leveraged.
The frameworks shared here transform constraint management from reactive crisis to proactive strategy. From surprise to prediction. From disruption to acceleration.
In your organization right now, Stagnation Nodes are preparing to migrate. The question isn’t whether they’ll move—it’s whether you’ll be ready. Whether you’ll see migration as failure or progress. Whether you’ll react or predict.
The tools are here. The patterns are knowable. The advantage is real. Organizations that master constraint migration don’t just transform successfully—they transform faster, cheaper, and more sustainably than those who don’t.
Stop playing whack-a-mole. Start playing chess. Predict the migrations. Prepare the responses. Accelerate the transformation.
Your constraints are going to migrate anyway. You might as well manage them masterfully.
Todd’s Take: “I’ve led enough transformations to know this with certainty: the leaders who master constraint migration don’t just win the current transformation—they build an organizational muscle that makes every future transformation faster and more predictable. That’s not incremental improvement. That’s Orthodoxy-Smashing competitive advantage.”
People Also Ask
What happens when you remove a bottleneck in a process?
When you remove a bottleneck, the constraint migrates to the next weakest link in your system. This is the Law of Conservation of Constraint—bottlenecks never disappear, they only relocate. Successful organizations anticipate where constraints will migrate and prepare resources in advance, turning potential crises into smooth transitions.
How long does a typical business transformation take?
Typical business transformations take 24-36 months, but organizations that master constraint migration can cut this time in half. The case study presented demonstrates an 18-month transformation versus the typical 36-month timeline, achieved through systematic prediction and preparation for constraint shifts.
Why do 70% of transformations fail?
Transformations fail primarily due to unexpected constraint migration that derails momentum, wastes resources, and damages morale. Leaders often don’t recognize that solving one Stagnation Node inevitably creates another. Without systematic constraint management, organizations experience continuous crisis rather than sustained progress.
How can you predict where bottlenecks will appear?
Bottleneck prediction requires Pattern Reading from historical migrations, understanding of the Five Laws of Constraint Migration, and implementation of early warning systems. Constraints typically migrate upstream in value chains, accelerate over time, move toward complexity, and ultimately converge on human capacity limitations.
Key Takeaways
- Constraint Migration Is Inevitable: When you solve one Stagnation Node, another emerges—this is physics, not failure. The Law of Conservation of Constraint means bottlenecks never disappear, they only relocate.
- Patterns Are Predictable: Constraints migrate from obvious to hidden, physical to informational, internal to external, technical to human, and operational to strategic. Pattern Reading on these sequences enables prediction.
- The PREDICT Framework Works: Pattern Recognition, Resource Pre-positioning, Early Warning Systems, Dynamic Response Plans, Iteration Learning, Continuous Monitoring, and Transformation Integration provide systematic constraint control.
- Preparation Beats Reaction: Cross-training before needed, building capacity ahead of demand, and creating surge capabilities transforms crisis management into smooth execution.
- Managed Migration Accelerates Results: Organizations that master constraint migration achieve 50% faster transformations, 30% better resource utilization, and avoid the 20-40% value loss from unexpected shifts.
Frequently Asked Questions
What is constraint migration in business transformation?
Constraint migration is the predictable movement of Stagnation Nodes through an organizational system as improvements are made. When you solve one constraint, another element becomes the new limiting factor. This migration follows identifiable patterns and can be predicted, prepared for, and leveraged to accelerate transformation rather than derail it.
How do I identify my organization’s current constraint?
Look for where work piles up, where delays consistently occur, and where teams feel most stressed. The constraint is typically the resource operating at or near 100% capacity while others have slack. Use data analysis to identify throughput limitations and interview team members to understand perceived bottlenecks.
What causes constraints to migrate upstream?
The Law of Upstream Pressure explains that as execution capabilities improve, pressure shifts to planning and design functions. Solve delivery, face production issues. Solve production, face supply problems. Solve supply, face design constraints. Better execution exposes weaknesses in earlier value chain stages.
How long should I focus on one constraint before moving to the next?
Focus on the current Stagnation Node until throughput improvement plateaus or early warning systems indicate migration is beginning. Early in transformation, constraints may last months. As improvement accelerates, constraints can shift weekly or daily—the Law of Constraint Acceleration demands increasingly sophisticated management approaches.
What is the biggest mistake organizations make with constraint management?
The biggest mistake is trying to fix multiple constraints simultaneously. This dilutes resources and extends timelines. The Focus Protocol requires dedicating 80% of improvement resources to the single biggest constraint while preparing for the next one with the remaining 20%.
How do I build constraint intelligence across my organization?
Building organizational constraint intelligence requires cultural elements (viewing constraints as opportunities), structural elements (defined constraint management roles), process elements (daily monitoring, weekly assessment), and capability elements (Pattern Reading skills, prediction methodologies). Start with executive education and cascade understanding throughout the organization.
Can constraint management work in service industries, not just manufacturing?
Absolutely. Service industries follow characteristic patterns: Delivery capacity → Quality consistency → Sales effectiveness → Talent availability → Technology platform. The principles apply universally because every system has a constraint that determines throughput—whether the output is products or services.
What technology do I need for effective constraint management?
Start with basic monitoring dashboards and constraint tracking spreadsheets. As capability matures, add predictive analytics for Pattern Reading, real-time monitoring for early warning, and resource orchestration tools for dynamic allocation. Technology amplifies human judgment but doesn’t replace it—start simple and build sophistication over time.
About the Author
Todd Hagopian is VP of Product Strategy and Innovation at JBT Marel’s Diversified Food & Health division, where he oversees a $1B+ business unit and has driven EBITDA from $13M to $30M in 18 months through systematic Orthodoxy-Smashing transformation. A SSRN-published researcher and Founder of the Stagnation Intelligence Agency, Hagopian has managed $500M+ P&L responsibility across Berkshire Hathaway, Illinois Tool Works, Whirlpool Corporation, and JBT Marel—generating over $2B in shareholder value. Featured over 30 times on Forbes.com, with coverage on NPR, The Washington Post, Fox Business, and OAN, his constraint migration and corporate transformation research is available on SSRN. He is the author of The Unfair Advantage: Weaponizing the Hypomanic Toolbox.