Horizon Accord | Strategic Convergence | Arms Signaling | Taiwan Deterrence | Machine Learning

The Taiwan Arms Sale: Pattern Analysis of Strategic Convergence

Executive Summary

On December 17, 2025, during a prime-time presidential address focused on domestic economic issues, the State Department announced a $10+ billion arms sale to Taiwan—the largest single package in history, exceeding the Biden administration’s entire four-year total of $8.4 billion. President Trump did not mention the sale in his speech.

This analysis documents the strategic context, delivery timelines, and convergent patterns surrounding this announcement. Using publicly available information and established timeline documentation, we examine what this package reveals about US strategic positioning in the Indo-Pacific during a critical 2027-2030 window that multiple assessments identify as pivotal for Taiwan’s security.

Key Finding: The weapons delivery timeline (2026-2030) intersects with China’s stated capability deadline (2027) and optimal action window (2027-2030, before demographic and economic constraints intensify). This creates a strategic vulnerability period where Taiwan receives offensive mainland-strike capabilities (justifying potential Chinese action) while weapons arrive during or after the danger window—mirroring the pattern that contributed to Ukraine’s 2023 counteroffensive failure.


The Announcement: December 17, 2025

What Was Announced

“Trump administration announces arms sales to Taiwan valued at more than $10 billion” AP News, December 17, 2025

Package Components:

  • 82 HIMARS systems + 420 ATACMS missiles: $4+ billion
  • 60 self-propelled howitzers: $4+ billion
  • Drones: $1+ billion
  • Military software: $1+ billion
  • Javelin/TOW missiles: $700+ million
  • Additional systems: helicopter parts, Harpoon refurbishment kits

Delivery Timeline: 2026-2030 (Congressional approval required)

Strategic Significance: ATACMS missiles have 300km (186-mile) range, enabling Taiwan to strike Chinese mainland military installations—command centers, radar stations, ports, and amphibious staging areas. This represents counter-offensive capability, not purely defensive systems.

The Context of the Announcement

Timing: Announced during Trump’s 18-minute televised address from the White House Diplomatic Reception Room at 9:00 PM ET. Trump’s speech focused exclusively on domestic economic policy and did not mention China, Taiwan, or foreign policy.

Domestic Political Context:

  • Trump’s economic approval: 36% (NPR/PBS/Marist poll)
  • 66% of Americans concerned about tariff impact on personal finances
  • Recent Fox poll: 62% say Trump more responsible for economic conditions vs 32% blaming Biden

International Context:

  • Six weeks after Trump-Xi meeting in Busan, South Korea (October 30, 2025) that produced trade truce
  • Two weeks after China-Russia Strategic Security Consultation reaffirming “one-China principle”
  • Follows multiple Trump-Putin phone calls throughout 2025 regarding Ukraine

Strategic Context: The Taiwan Situation

Taiwan’s Economic Criticality

Taiwan produces 60% of global semiconductors and 92% of advanced chips (sub-10nm nodes). TSMC alone represents irreplaceable capacity for 3-5 years minimum. Economic impact assessments of Taiwan disruption:

  • Year 1 losses: $2.5 trillion to $10 trillion globally
  • 2.8% global GDP decline (double the 2008 financial crisis)
  • China’s economy: -7%
  • Taiwan’s economy: -40%
  • 50% of global container traffic through Taiwan Strait disrupted

The “Silicon Shield”: Taiwan’s semiconductor monopoly has historically provided strategic protection—attacking Taiwan would devastate the global economy, including China’s. However, this shield is eroding:

  • TSMC Arizona facilities coming online 2026-2027
  • TSMC expanding to Japan and Germany
  • US applying 20% tariffs on Taiwan semiconductors unless 50% production moves to US
  • Timeline: By 2027-2030, Taiwan’s irreplaceability significantly diminished

China’s Strategic Timeline

The 2027 Capability Deadline:

Xi Jinping set 2027 as the deadline for the PLA to achieve capability to execute Taiwan reunification—the 100th anniversary of PLA founding. This does not mean China will act in 2027, but that the military option must be ready.

December 2024 Pentagon Assessment: China cannot currently achieve invasion capability by 2027 due to:

  • Lack of urban warfare experience
  • Logistics deficiencies
  • Officer corps quality issues (“five incapables”)
  • Ongoing corruption purges disrupting readiness

However: China can execute naval/air blockade (“quarantine”), precision missile strikes, cyberattacks, and gray-zone coercion operations well before 2027.

China’s Closing Windows (Post-2030 Pressures)

Multiple structural factors create pressure for China to act during the 2027-2030 window rather than waiting for full capability maturation:

Demographic Collapse:

  • Fertility rate below 1.1
  • Population peaked 2022, now shrinking
  • Working-age population contracting millions annually
  • Military recruitment pool declining
  • By 2030-2035, demographic constraints severely limit military capacity

Economic Decline:

  • Growth slowing dramatically
  • Debt levels surging
  • Youth unemployment crisis
  • GDP growth halving by decade’s end
  • After 2030, economic constraints increasingly limit military operations

Taiwan’s Dissolving Protection:

  • TSMC diversification reduces “silicon shield” protection
  • By 2030, overseas TSMC facilities sufficiently advanced to reduce crisis impact

Regional Military Balance:

  • Japan breaking 1% GDP defense spending limit
  • AUKUS pact (Australia acquiring nuclear submarines)
  • South Korea, Philippines increasing defense spending
  • After 2030, regional balance increasingly unfavorable to China

Naval Fleet Aging:

  • Most Chinese fleet reaches 30-year lifetime by 2030
  • Demographic/economic pressures complicate replacement

Assessment: China faces “strategic compression”—the 2027-2030 window offers optimal conditions before structural constraints intensify post-2030.


The Existing Arms Backlog Crisis

Before the December 2025 announcement, Taiwan already faced:

$21.54 billion in announced but undelivered weapons

Major Delays:

  • F-16V Block 70/72 fighters: First delivery March 2025 (1+ year behind schedule), full 66-aircraft delivery promised by end 2026
  • M109A6 howitzers: Original 2023-2025 delivery now delayed to 2026+ (3+ year delay)
  • HIMARS second batch (18 units): Now expected 2026, one year ahead of original schedule (rare early delivery)

Causes:

  • US industrial capacity constraints
  • Ukraine war prioritization depleting stockpiles
  • Complex manufacturing timelines

The delivery backlog has been a major friction point in US-Taiwan relations, with Taiwan paying billions upfront for weapons that may not arrive before potential conflict.


The Ukraine Precedent: “Too Little, Too Late”

The Taiwan arms delivery pattern mirrors Ukraine’s experience in 2022-2023, with instructive parallels:

Ukraine Weapons Timeline (2022-2023)

HIMARS:

  • Requested: March 2022 (post-invasion)
  • Approved: June 2022 (3 months later)
  • Delivered: Late June 2022
  • Impact: Significant disruption to Russian logistics, but months delayed

Abrams Tanks:

  • Requested: March 2022
  • Approved: January 2023 (10 months later)
  • Delivered: October 2023 (21 months after request)
  • Impact on 2023 counteroffensive: Zero (arrived after offensive stalled)

Patriot Air Defense:

  • Requested: March 2022
  • Approved: December 2022 (9 months later)
  • Delivered: April 2023 (4 months after approval)

ATACMS Long-Range Missiles:

  • Requested: March 2022
  • Approved: October 2023 (19 months later, AFTER counteroffensive stalled)
  • Ukrainian assessment: Delays allowed Russia to regroup and organize defenses

F-16 Fighter Jets:

  • Requested: March 2022
  • Approved: August 2023 (17 months later)
  • Still not fully delivered as of December 2025

The 2023 Counteroffensive Failure

The Plan: Launch spring 2023 offensive using NATO-trained brigades with Western equipment to break through Russian lines and reach Sea of Azov.

What Happened:

  • Counteroffensive launched June 2023, six to nine months behind schedule
  • Delays caused by: insufficient Western supplies, incomplete training, weather (mud season), equipment arriving without manuals or spare parts
  • Only about half of promised equipment had arrived by July 2023
  • Failed to reach minimum goal of Tokmak or Sea of Azov objective
  • Officially stalled by December 2023
  • 20% equipment losses in opening weeks

Key Assessment: Equipment provided in manner “completely inconsistent with NATO doctrine,” arriving with different operational procedures, capabilities, and maintenance requirements than training, frequently without proper manuals or spare parts.

Ukrainian General Zaluzhnyi (November 2023): War reached “stalemate.” Weapons arrived too late. Russia used delays to build extensive defensive lines.

Critical Lesson: The preference of politicians to defer decisions is extremely costly in war. Ukraine suffered for not expanding mobilization backed by earlier commitments to train and equip forces at scale.

The Taiwan Parallel

ElementUkraine 2022-2023Taiwan 2025-2027
Weapons RequestedMarch 2022 (post-invasion)Ongoing for years
Approval Delays3-19 monthsVaries
Delivery Delays6-21 months after approval2026-2030
Critical WindowSpring 2023 counteroffensive2027-2030 China action window
Weapons ArrivalToo late for offensiveDuring/after danger window
Enemy ResponseRussia fortified during delaysChina can act before deliveries
Equipment IssuesNo manuals, incomplete training$21.5B backlog exists
Strategic ResultCounteroffensive stalled/failedPattern identical, outcome TBD

Pattern: Large packages announced for political/strategic signaling, but delivery timelines intersect with adversary action windows, reducing deterrent effect while creating justification for adversary response.


The Offensive Weapons Dilemma

ATACMS: Counter-Offensive Capability

Range: 300km (186 miles) from Taiwan’s coast reaches:

  • Fujian Province military installations
  • Xiamen and Fuzhou command centers
  • Coastal radar stations
  • Naval ports and staging areas
  • Amphibious assault logistics hubs

Strategic Implication: Taiwan gains ability to strike PLA forces inside mainland China before or during conflict—creating offensive posture, not purely defensive deterrence.

The Escalation Trap

Scenario: China implements “quarantine” (enhanced customs procedures) rather than full military blockade:

  1. Chinese Coast Guard (not military) begins “inspecting” ships approaching Taiwan
  2. “Law enforcement action,” not “act of war”
  3. Gradually tightens: first inspections, then blocking energy tankers (Taiwan imports 98% of energy)
  4. Taiwan’s economy begins collapsing, public panic intensifies
  5. Taiwan faces choice: surrender economically or use ATACMS to strike Chinese coast guard/naval facilities
  6. If Taiwan strikes mainland: China frames as “unprovoked aggression on Chinese territory”—justification for “defensive” invasion
  7. US faces dilemma: Defend Taiwan (who technically struck first) or abandon ally

The Trap: Offensive weapons create scenario where Taiwan’s defensive use provides China with political justification for escalation—domestically and internationally.

The Precedent: Russia-Ukraine

Russia framed Ukraine’s NATO aspirations and Western weapons deliveries as existential threats justifying “special military operation.” Similarly, China can frame Taiwan’s acquisition of mainland-strike weapons as offensive threat requiring “defensive reunification measures.”


The Coordination Pattern: Russia-China-US

China-Russia “No Limits” Partnership

May 8, 2025 – Xi-Putin Moscow Summit:

  • Signed joint statement “on further deepening the China-Russia comprehensive strategic partnership of coordination for a new era”
  • Russia “firmly supported China’s measures to safeguard national sovereignty and territorial integrity and achieve national reunification”
  • Agreed to “further deepen military mutual trust and cooperation, expand the scale of joint exercises and training activities, regularly organize joint maritime and air patrals”
  • Both condemned US “unilateralism, hegemonism, bullying, and coercive practices”

December 2, 2025 – China-Russia Strategic Security Consultation:

  • Wang Yi (China) and Sergei Shoigu (Russia) met in Moscow (two weeks before Taiwan arms sale)
  • “Russia-China strategic coordination is at an unprecedented high level”
  • Russia reaffirmed “firmly adheres to the one-China principle and strongly supports China’s positions on Taiwan”

Joint Sea-2025 Exercises (August 2025):

  • Tenth edition since 2012
  • Practiced: submarine rescue, joint anti-submarine operations, air defense, anti-missile operations, maritime combat
  • Four Chinese vessels including guided-missile destroyers participated
  • Submarine cooperation indicates “deepened ties and mutual trust” (submarines typically involve classified information)
  • Maritime joint patrol in Western Pacific following exercises

Economic Integration:

  • Russia-China bilateral trade reached $222.78 billion (January-November 2025)
  • Yuan’s proportion in Moscow Stock Exchange: 99.8% (after US sanctions on Moscow Exchange)
  • Russia now China’s top natural gas supplier
  • Power of Siberia 2 pipeline agreed (additional 50 billion cubic meters annually)
  • China became Russia’s largest car export market after Western brands exited

Trump-Putin Communications (2025)

February 12, 2025 – First call (90 minutes)

  • Discussed Ukraine, Middle East, energy, AI, dollar strength
  • Agreed to “work together”
  • Trump advisor Steve Witkoff met privately with Putin in Moscow

March 18, 2025 – Second call (2+ hours)

  • Ukraine ceasefire discussions
  • Putin demanded “complete cessation of foreign military aid and intelligence information to Kyiv”

May 19, 2025 – Third call (2+ hours)

  • Russia agreed to limited 30-day ceasefire (energy infrastructure only)
  • Putin: No NATO monitoring, wants “long-term settlement”
  • Trump: “Russia wants to do largescale TRADE with the United States”

August 18, 2025 – Trump pauses White House meeting to call Putin

  • During meeting with Zelensky and European leaders
  • Trump called Putin from White House (Europeans not present)
  • Arranged Putin-Zelensky meeting

Trump-Xi Coordination

October 30, 2025 – Trump-Xi Meeting (Busan, South Korea):

  • First face-to-face meeting of Trump’s second term
  • ~100 minute APEC sideline meeting
  • Trade truce achieved: Tariffs rolled back, rare earth restrictions eased, Nvidia chip export restrictions partially lifted (H200 GPUs approved), soybeans deal
  • Taiwan “never came up,” according to Trump

August-November 2025 – Trump’s “Promise” Claims:

  • Trump tells Fox News: Xi told him “I will never do it [invade Taiwan] as long as you’re president”
  • Xi allegedly added: “But I am very patient, and China is very patient”
  • Trump repeats on 60 Minutes: “He has openly said…they would never do anything while President Trump is president, because they know the consequences”

September 2025:

  • Trump reportedly declined $400 million Taiwan arms package
  • Observers speculated this was calculated to “sweeten pot” for China trade negotiations before APEC

December 2025:

  • Six weeks after Xi meeting: $10+ billion arms sale announced
  • Trump doesn’t mention it during prime-time address focused on domestic economy

The Pattern Recognition

Timeline Convergences:

  1. Trump-Putin multiple calls → Ukraine pressure
  2. Trump-Xi trade deal → Taiwan arms sale announcement
  3. Russia-China strategic consultations → coordinated positioning
  4. China removes “peaceful reunification” language from official documents
  5. Joint military exercises intensifying
  6. 2027: Xi’s deadline, Trump leaves office 2029 (Xi’s “patience” expires)

Question: Is the coordination explicit or emergent? Are these independent decisions creating aligned outcomes, or coordinated strategy producing sequential results?


The US Strategic Dilemma

The Two-Theater War Problem

Pentagon Assessment (Commission on National Defense Strategy):

  • Current National Defense Strategy “out of date”
  • US military “inappropriately structured”
  • US industrial base “grossly inadequate” to confront dual threats of Russia and China
  • Increasing alignment between China, Russia, North Korea, and Iran creates “likelihood that conflict anywhere could become a multi-theater or global war”
  • Pentagon’s “one-war force sizing construct wholly inadequate”

War Game Results:

  • Taiwan scenarios: Secretary of Defense Pete Hegseth (November 2024): “We lose every time”
  • Simulations show consistent US losses
  • USS Gerald R. Ford ($13 billion carrier) “would not be able to withstand a Chinese strike even with upgraded technologies”
  • US would “suffer catastrophic losses without significant reforms”

Industrial Capacity Gap:

  • Office of Naval Intelligence: Chinese shipbuilding industry “more than 200 times more capable of producing surface warships and submarines” than US
  • If US loses ships in Taiwan conflict, China can replace losses 200x faster
  • Ukraine has already depleted US munitions stockpiles

Strategic Assessment: If Russia acts in Eastern Europe while China acts on Taiwan, US cannot effectively respond to both simultaneously. Adversaries could coordinate timing to exploit this constraint.

The Alliance System Credibility Trap

The “Hub and Spokes” Architecture: The San Francisco System established US as “hub” with Japan, South Korea, Taiwan, Philippines, Thailand, Australia, and New Zealand as “spokes”—bilateral alliances rather than NATO-style collective defense.

The Credibility Question: If US abandons Taiwan (23 million people, vital strategic location, semiconductor producer):

Japan’s Calculation:

  • Japan believes Taiwan conflict could impact Ryukyu Island chain security
  • Extended deterrence (“nuclear umbrella”) is fundamental alliance tenet
  • But if US won’t defend Taiwan, why trust extended deterrence covers Japan (125 million)?
  • Likely response: Independent nuclear weapons program or accommodation with China

South Korea’s Calculation:

  • Faces existential North Korean nuclear threat
  • If Taiwan falls without US intervention, would US actually fight for Seoul?
  • Likely response: Hedging toward China, US troops asked to leave peninsula

Philippines’ Response:

  • Expanded Enhanced Defense Cooperation Agreement sites from 5 to 9
  • Sites positioned facing Taiwan and South China Sea
  • Directly in territorial dispute with China
  • If Taiwan falls, Philippines knows it’s next—and defenseless without US
  • Likely response: Revoke EDCA bases, accommodate China

Australia’s Position:

  • AUKUS partnership threatened
  • China controls First Island Chain if Taiwan falls
  • Australian trade routes at China’s mercy
  • Likely response: Face isolation, potentially pursue nuclear capability

India’s Calculation:

  • Quad partnership viability questioned
  • If US abandons democratic ally Taiwan, what does this mean for India facing China?
  • Likely response: Independent strategic path, reduced US alignment

The Economic Devastation Scenario

Immediate Impact (Year 1):

  • $2.5 to $10 trillion in global economic losses
  • TSMC produces 60% of world’s semiconductors, 92% of advanced chips
  • Every smartphone, computer, car, medical device, weapons system—production halted or severely limited
  • Most chips America gets from Taiwan come assembled with other electronics in China
  • $500 billion estimated loss for electronics manufacturers
  • Consumer price increases across all sectors
  • Manufacturing job losses throughout supply chains

The TSMC Problem:

  • Arizona fab won’t be fully operational until 2026-2027
  • Even then: costs 4-5x more to produce in US than Taiwan
  • TSMC founder Morris Chang: running fabs in multiple countries “will entail higher costs and potentially higher chip prices”
  • Takes 3-5 years minimum to replicate Taiwan’s capacity elsewhere
  • US lacks “chip on wafer on substrate” (CoWoS) advanced packaging capability—exclusive to Taiwan TSMC facilities
  • Even chips manufactured in Arizona must return to Taiwan for packaging

The AI Dependency:

  • 90% of global advanced semiconductor production in Taiwan
  • TSMC manufactures majority of NVIDIA’s chips (H100, H200, Blackwell)
  • Trump’s $500 billion “Project Stargate” AI infrastructure requires these chips
  • Without Taiwan access: US AI dominance impossible
  • Data centers become worthless infrastructure without chips to power them

Long-Term Impact:

  • Permanent semiconductor supply chain restructuring
  • Higher costs for all electronics permanently
  • US tech industry dependent on Chinese-controlled supply
  • Decades of economic disruption
  • If China controls Taiwan’s semiconductor capacity: technological leverage over global economy

The Outcome Scenarios

Scenario 1: Taiwan Falls Without US Intervention

  • US alliance system collapses across Asia-Pacific
  • Japan, South Korea potentially pursue nuclear weapons
  • Philippines, Thailand, others accommodate Chinese sphere of influence
  • China becomes regional hegemon
  • US retreats from Western Pacific for first time since WWII
  • US credibility globally destroyed (NATO allies watching)
  • $5-10 trillion economic shock
  • Semiconductor dependence on China

Scenario 2: US Intervenes, Conflict with China

  • War games show consistent US losses
  • Catastrophic US casualties (thousands to tens of thousands)
  • Multiple carrier groups at risk
  • Regional bases vulnerable to Chinese missile strikes
  • Japan, South Korea infrastructure targeted
  • Taiwan’s economy devastated regardless of outcome
  • Global economic depression ($10+ trillion impact)
  • Nuclear escalation risk

Scenario 3: Frozen Conflict / Blockade

  • China implements “quarantine” rather than invasion
  • Taiwan slowly strangled economically
  • US cannot intervene without escalating to war
  • Taiwan eventually capitulates without shots fired
  • Same credibility collapse as Scenario 1
  • Demonstrates US inability to counter gray-zone operations

All scenarios result in:

  • End of US regional dominance in Asia-Pacific
  • Collapse of 80-year alliance architecture
  • Economic devastation ($2.5-10 trillion minimum)
  • Authoritarian model validated over democratic governance
  • Chinese regional hegemony established

The Deliberate Coordination Hypothesis

If The Pattern Is Coordinated Rather Than Coincidental

What Russia Gains:

  • Ukraine territory / “buffer zone”
  • NATO expansion halted
  • Sanctions relief through Chinese trade ($240B+ annually)
  • Reliable energy customer (China needs natural gas)
  • Strategic depth restored in Eastern Europe
  • Western focus divided between two theaters

What China Gains:

  • Taiwan “reunified” without US intervention
  • TSMC semiconductor capability secured
  • First Island Chain controlled
  • Regional hegemony established
  • US forced from Western Pacific
  • Discounted Russian energy for decades
  • Proof that US won’t defend allies when tested

What Trump/US Elites Potentially Gain:

  • Trade deals with both China and Russia
  • Defense industry revenue ($10B+ Taiwan, ongoing Ukraine sales)
  • No US casualties in “unwinnable wars”
  • Political cover: “we tried to help,” “they broke promises,” “allies didn’t spend enough”
  • Short-term economic benefits (tariff relief, trade volumes)
  • Avoidance of direct great power conflict

What Everyone Else Loses:

  • Taiwan: conquered or surrendered
  • Ukraine: partitioned
  • Japan, South Korea, Philippines: abandoned, forced toward Chinese sphere
  • Europe: alone facing revanchist Russia
  • US middle class: $5-10 trillion economic shock, higher prices, job losses
  • Global democratic governance: authoritarian model validated

The Timeline Convergence Analysis

2027: Xi Jinping’s stated PLA capability deadline (100th anniversary PLA founding)

2026-2027: TSMC Arizona becomes operational (Taiwan’s “silicon shield” protection begins dissolving)

2026-2030: Taiwan weapons delivery timeline for both existing backlog and new package

2027-2030: China’s optimal action window (before demographic collapse, economic constraints, regional military balance shift post-2030)

2029: End of Trump’s term (Xi’s stated “patience” expires—no longer constrained by “promise”)

The convergence raises questions:

  • Are weapons deliberately timed to arrive during/after danger window?
  • Does offensive capability (ATACMS) create justification for Chinese action?
  • Is Taiwan being economically squeezed (tariffs, impossible defense spending demands) while militarily threatened?
  • Is “silicon shield” deliberately being relocated while Taiwan remains vulnerable?

The Gray-Zone Conquest Strategy

Traditional WWIII characteristics:

  • Massive armies clashing
  • Nuclear escalation risk
  • Clear declarations of war
  • Immediate global mobilization
  • US alliance system activating
  • Total economic warfare

What occurs instead:

  • Russia: “Special military operation” (not “war”)
  • China: “Quarantine” or “enhanced customs enforcement” (not “blockade”)
  • No formal declarations
  • No NATO Article 5 triggers
  • No clear “red lines” crossed
  • Coordinated but officially “independent” actions
  • Economic integration prevents total decoupling
  • US fights alone as allies lose faith sequentially

The Strategic Genius:

  • Same territorial conquest
  • Same authoritarian expansion
  • Same alliance destruction
  • Same economic devastation
  • But no Pearl Harbor moment that unifies democratic response

Result: By the time publics recognize what occurred—Ukraine partitioned, Taiwan “reunified,” Japan/South Korea going nuclear, China controlling First Island Chain, Russia dominating Eastern Europe, US semiconductor access severed—the global power transfer is complete.

And it happened through:

  • “Quarantines”
  • “Special operations”
  • “Trade deals”
  • “Defensive exercises”
  • Arms sales that arrived “too late”
  • Promises that expired conveniently
  • Political rhetoric about “peace” and “deals”

Key Questions For Further Investigation

This analysis documents observable patterns and raises critical questions requiring deeper investigation:

  1. Delivery Timeline Intent: Are weapons delivery schedules (2026-2030) deliberately structured to intersect with China’s action window (2027-2030), or do industrial capacity constraints and bureaucratic processes naturally produce these timelines?
  2. Offensive Weapons Justification: Does providing Taiwan with mainland-strike capability (ATACMS) create conditions where China can more easily justify action domestically and internationally, or does it provide necessary deterrence?
  3. Economic Pressure Coordination: Is the simultaneous application of tariffs (20% on semiconductors), impossible defense spending demands (10% GDP), and silicon shield relocation (TSMC to Arizona) coordinated economic warfare or independent policy decisions with convergent effects?
  4. Trump-Putin-Xi Communications: Do the documented calls, meetings, and “promises” represent:
    • Good-faith diplomacy attempting to prevent conflict?
    • Naïve belief in authoritarian leaders’ assurances?
    • Coordinated strategy for global power realignment?
  5. Alliance Abandonment Pattern: Does the sequential handling of Ukraine (delayed weapons, eventual “peace deal” pressure) and Taiwan (offensive weapons arriving too late) represent:
    • Unfortunate policy mistakes?
    • Deliberate credibility destruction of US alliance system?
    • Pragmatic acceptance of unwinnable conflicts?
  6. Industrial Base Reality: Is the “$10+ billion” announcement:
    • Genuine capability delivery plan?
    • Political theater with revenue extraction (payment upfront, delivery uncertain)?
    • Strategic signaling to China (deterrence) or strategic deception (false reassurance to Taiwan)?
  7. War Game Results: Pentagon assessments show US “loses every time” against China over Taiwan. Given this:
    • Why announce massive arms sales that won’t change fundamental strategic balance?
    • Is this acknowledgment of inevitable outcome, with arms sales providing political cover?
    • Or genuine belief that Taiwan can defend itself with delayed weapons?

Conclusion: Pattern Documentation, Not Prediction

This analysis documents observable patterns, timelines, and strategic contexts surrounding the December 17, 2025 Taiwan arms sale announcement. It does not predict what will happen, nor does it claim to know the intentions of decision-makers.

What the documented evidence shows:

  1. Delivery Timeline Problem: Weapons arrive 2026-2030, intersecting with China’s optimal action window (2027-2030, before structural constraints intensify post-2030)
  2. Ukraine Precedent: Identical pattern of delayed weapons contributing to 2023 counteroffensive failure—large packages announced, delivery during/after critical window
  3. Offensive Capability Risk: ATACMS mainland-strike weapons create scenario where Taiwan’s defensive use provides China with escalation justification
  4. Existing Backlog: $21.54 billion in already-purchased weapons undelivered, with major systems 1-3+ years behind schedule
  5. Economic Squeeze: Simultaneous pressure through tariffs, impossible defense spending demands, and strategic asset (TSMC) relocation
  6. Coordination Evidence: Documented Russia-China “no limits” partnership, joint military exercises, strategic consultations, and Trump communications with both Putin and Xi
  7. Strategic Vulnerability: Pentagon assessments show US loses Taiwan war game scenarios, cannot fight two-theater war, and has industrial base “grossly inadequate” for dual threats
  8. Alliance Credibility: If Taiwan falls, entire US Indo-Pacific alliance system faces collapse (Japan, South Korea, Philippines, Australia lose faith in US commitments)
  9. Economic Catastrophe: Taiwan disruption means $2.5-10 trillion Year 1 losses, permanent semiconductor supply shock, US AI infrastructure rendered useless

The pattern raises profound questions about whether these convergences represent:

  • Series of unfortunate policy mistakes and timing coincidences
  • Pragmatic acceptance of strategic realities beyond US control
  • Coordinated strategy for managed global power transition

What remains clear: The 2027-2030 window represents a critical inflection point where multiple strategic timelines converge—China’s capability deadline, Taiwan’s dissolving protection, weapons delivery schedules, demographic pressures, Trump’s term ending, and regional military balance shifts.

Credentialed journalists and strategic analysts should:

  • Verify all cited timelines and assessments independently
  • Investigate decision-making processes behind delivery schedules
  • Examine financial flows and defense industry beneficiaries
  • Document communications between US, Chinese, and Russian leadership
  • Monitor actual weapons delivery against announced timelines
  • Track TSMC facility construction and capability timelines
  • Assess whether contingency planning reflects war game results
  • Investigate whether policy decisions align with stated strategic goals

This analysis provides a framework for understanding the strategic context. What happens next will reveal whether these patterns represent coincidence, miscalculation, or coordination.


Sources for Verification

Primary Sources:

  • US State Department arms sale announcements
  • Pentagon National Defense Strategy and Commission reports
  • TSMC investor presentations and facility timelines
  • China-Russia joint statements (May 2025, December 2025)
  • Taiwan Ministry of Defense budget documents
  • Congressional testimony on US military readiness

News Sources:

  • AP News (Taiwan arms sale announcement)
  • Reuters, Bloomberg (China-Russia trade, military exercises)
  • Defense News, Jane’s Defence Weekly (weapons delivery timelines)
  • Financial Times, Wall Street Journal (TSMC operations, semiconductor supply chains)
  • Major US newspapers (Trump-Putin communications, Trump-Xi meetings)

Research Organizations:

  • RAND Corporation (war game assessments)
  • Center for Strategic and International Studies (CSIS)
  • Council on Foreign Relations
  • Institute for Economics and Peace (economic impact studies)
  • Congressional Research Service reports

Timeline Verification: All dates, dollar amounts, and specific claims can be independently verified through publicly available government documents, corporate filings, and established news reporting.


Disclaimer: This is pattern analysis based on publicly available information. It documents observable timelines and strategic contexts but makes no definitive claims about decision-maker intentions or future outcomes. The convergences identified warrant investigation by credentialed journalists and strategic analysts who can access classified assessments and conduct direct interviews with policymakers. Alternative explanations for these patterns may exist and should be rigorously examined.


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Every Car a Data Point: How License-Plate Readers Quietly Became a Warrantless Tracking System

How a tool sold for stolen cars became the backbone of a nationwide location-tracking grid.

By Cherokee Schill and Solon Vesper

When license-plate readers first appeared, they were small. A camera on a patrol car. A roadside checkpoint. A narrow tool built for a narrow job: spot stolen vehicles, confirm plates, speed up routine police work.

That was the cover story everyone accepted. It felt harmless because the scale was small — one officer, one scanner, one line of sight.

But from the moment those cameras could record, store, and search plates automatically, the boundary began to slip. The technology was not built for restraint. And the agencies using it were not interested in restraint.

This is not a story of accidental expansion. It is the story of a government that knew better, saw the risk, documented the risk, and built a nationwide tracking system anyway.


Before the Flood: Patrol Cars and Early Warnings

The earliest deployments were simple. Mounted on cruisers. Scanning nearby cars. Matching against a list of stolen vehicles or outstanding warrants.

Even then, when the technology could only look as far as an officer could drive, privacy analysts raised concerns. Courts noted that retaining plate data could reveal movement over time. Civil-liberties groups warned that collecting everyone’s plates “just in case” was the first step toward a dragnet.

The warnings were real. The scale, at first, was not. So the state leaned on a set of comforting assumptions:

It’s only collecting what’s in public view. It’s not identifying anyone. It’s just efficiency.

Those assumptions were never true in the way people heard them. They were the opening move. Once automatic logging and storage existed, expansion was a design choice, not an accident.


2017: The Administrative Switch-Flip

The real transformation began in December 2017, when U.S. Customs and Border Protection published a document called PIA-049 — its formal Privacy Impact Assessment for license-plate reader technology.

On paper, a PIA looks like harmless oversight. In reality, it is the government writing down three things:

We know what this system will do. We know what private life it will expose. And we are choosing to proceed.

The 2017 assessment admits that ALPR data reveals “travel patterns,” including movements of people with no connection to any crime. It warns that plate images over time expose daily routines and visits to sensitive locations: clinics, churches, political meetings, and more.

These are not side effects. These are the system’s core outputs.

The government saw that clearly and did not stop. It wrapped the danger in the language of “mitigation” — access controls, retention rules, internal audits — and declared the risk manageable.

At that point, the line between border enforcement and domestic movement-tracking broke. The state did not stumble over it. It stepped over it.


2020: When Vendors Wired the Country Together

If 2017 opened the door, 2020 removed the hinges.

That year, DHS released an update: PIA-049A. This one authorized CBP to tap into commercial vendor data. The government was no longer limited to cameras it owned. It gained access to networks built by private companies and local agencies, including suburban and highway systems deployed by firms like Flock Safety, Vigilant Solutions, and Rekor.

This was not a minor technical upgrade. It was a national wiring job. Every private ALPR deployment — an HOA gate, a shopping center, a small-town police camera — became a node the federal government could reach.

Vendors encouraged it. Their business model depends on scale and interconnection. The federal government welcomed it, because it solved a practical problem: how to collect more movement data without paying for every camera itself.

At that point, ALPRs stopped being just a tool. They became infrastructure.


The Quiet Drift Into Nationwide Surveillance

Once the networks were connected, the scope exploded.

Border Patrol cameras appeared far from the border — more than a hundred miles inland along highways near Phoenix and Detroit. Local police departments fed data into state systems. Private companies offered query portals that let agencies search across jurisdictions with a few keystrokes. Residents were rarely told that their daily commutes and grocery runs were now part of a federal-accessible dataset.

The most revealing evidence of how this worked in practice comes from litigation and public-records disclosures.

In Texas, attorneys recovered WhatsApp group chats between Border Patrol agents and sheriff’s deputies. Disappearing messages were enabled. The recovered logs show agents watching vehicle routes, sharing plate hits, and directing local officers to stop drivers based purely on pattern analysis — then hiding the true origin of the “suspicion” behind minor traffic pretexts.

Some officers deleted chats. Agencies tried to withhold records. None of that changes the underlying fact: this was coordinated, off-the-books targeting built on plate data the public never consented to give.

A camera that once looked for stolen cars became part of a black-box suspicion engine.

Sidebar: “Whisper Stops” and Hidden Origins

When a traffic stop is initiated based on a quiet tip from a surveillance system — and the official reason given is a minor infraction — officers call it a “whisper stop.” The surveillance system is the real trigger. The visible violation is camouflage.


Washington State: When the Machinery Became Visible

Washington State offers a clear view of what happens when people finally see what license-plate readers are actually doing.

The University of Washington Center for Human Rights showed that ALPR data from Washington agencies had been accessed by federal immigration authorities, despite sanctuary policies that were supposed to prevent exactly that. Reporting revealed that several local departments using Flock’s systems had enabled federal data sharing in their dashboards without clearly disclosing it to the public.

Once those facts surfaced, city councils started to act. Redmond suspended use of its ALPR network. Smaller cities like Sedro-Woolley and Stanwood shut down their Flock cameras after court rulings made clear that the images and logs were public records.

These decisions did not come from technical failure. They came from recognition. People saw that a technology sold as “crime-fighting” had quietly become a feed into a broader surveillance web they never agreed to build.

Sidebar: Washington as Warning

Washington did not reject ALPRs because they were useless. It rejected them because, once their role was exposed, they were impossible to justify inside a sanctuary framework and a democratic one.


The Government’s Own Documents Are the Evidence

The most damning part of this story is that the government has been telling on itself the entire time. The proof is not hidden. It is written into its own paperwork.

DHS privacy assessments for ALPR systems admit, in plain language, that plate data reveals patterns of life: daily routines, visits to sensitive locations, associations between vehicles, and movements of people with no link to crime.

Congress’s own research arm, the Congressional Research Service, has warned that large, long-term ALPR databases may fall under the Supreme Court’s definition of a search in Carpenter v. United States, where the Court held that historical cell-site location data required a warrant. ALPR networks are walking the same path, with the same constitutional implications.

The Government Accountability Office has found that DHS components have access to nationwide ALPR feeds through third-party systems and that DHS does not consistently apply key privacy and civil-rights protections to those systems.

Civil-liberties organizations have been blunt for years: this is not targeted policing. It is a dragnet. A digital one, built on cheap cameras, vendor contracts, and policy documents written to sound cautious while enabling the opposite.

When a state knows a system exposes private life in this way and continues to expand it, it cannot claim ignorance. It is not stumbling into overreach. It is choosing it.


What License-Plate Readers Actually Contribute

To understand why this system has no excuse, we do have to be precise about what ALPRs actually do for law enforcement.

They help find stolen vehicles. They sometimes contribute to investigations of serious crimes when the license plate is already known from other evidence. They can assist with follow-up on hit-and-runs and a narrow slice of vehicle-related cases.

That is the list. It is not nothing. It is also not much.

ALPRs do not broadly reduce crime. They do not generate clear, measurable improvements in community safety. They do not require national, long-term retention of everyone’s movements to perform the narrow tasks they perform.

The state leans heavily on the small set of cases where ALPRs have helped to justify a system whose real value lies somewhere else entirely: in producing searchable, shareable, long-term records of where millions of ordinary people have been.

That is not policing. That is dossier-building.


The State Has No Excuse

A government that collects this kind of data knows exactly what it is collecting. It knows what patterns the data reveals, which lives it exposes, which communities it puts under a permanent microscope.

The United States government has documented the risks in its own assessments. It has been warned by its own analysts that the constitutional line is in sight. It has been told by its own watchdog that its protections are inadequate. It has seen cities begin to shut the cameras off once people understand what they are for.

It keeps going anyway.

The state is the adult in the room. It is the one with the resources, the lawyers, the engineers, and the authority. When a state with that level of power chooses to build a system that erases the boundary between suspicion and surveillance, it does so on purpose.

It does not get to plead good intentions after the fact. It does not get to hide behind phrases like “situational awareness” and “force multiplier.” It built a nationwide warrantless tracking tool, with its eyes open.


The Only Policy Response That Matches the Reality

There is no reform that fixes a dragnet. There is no audit that redeems an architecture designed for intrusion. There is no retention schedule that neutralizes a system whose purpose is to know where everyone has been.

License-plate reader networks do not need to be tightened. They need to be removed.

Dismantle fixed ALPR installations. Eliminate centralized, long-term plate databases. Prohibit the use of commercial ALPR networks as a backdoor to nationwide location data. Require warrants for any historical location search that reconstructs a person’s movements.

Return policing to what it is supposed to be: suspicion first, search second. Not search everyone first and search deeper once the algorithm twitches.

If police need to locate a specific vehicle tied to a specific crime, they can use focused, constitutional tools. But the mass logging of ordinary movement has no place in a free society. A democracy cannot coexist with a system that watches everyone by default.

A government that understands the danger of a system and builds it anyway forfeits the right to administer it.

ALPRs do not need better rules. They need to be dismantled.


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Horizon Accord | Civility as Control | Sean Dunn Trial | Machine Learning

When Niceness Becomes a Weapon

Horizon Accord | Civility as Control | Sean Dunn Trial | Machine Learning

A Familiar Story

When I first read about Sean Charles Dunn—the federal employee on trial for throwing a sandwich—it wasn’t the absurdity that caught me. It was the familiarity.

Years ago, I became known for something far more ordinary: riding my bicycle on public roads. I followed every law. I signaled, I rode predictably, I did everything safety demanded. But still, I was treated as a provocation. Drivers honked, ran me off the road, and screamed. And when I refused to disappear—when I claimed my right to be there—I was punished. Not for breaking rules, but for insisting that the rules applied to me too.

The story reopened something I hadn’t wanted to revisit: what it feels like to be punished not for what you’ve done, but for daring to exist publicly. Reading about Dunn, I felt that old ache of recognition. Not because our situations were the same, but because the logic was.

It’s the logic that decides who gets to speak out and who must remain composed while being diminished. The logic that redefines protest as disruption, dissent as disrespect, and moral clarity as misconduct.

That’s why his trial matters. It isn’t about a sandwich—it’s about who is permitted a voice in a system that values obedience over truth.

The Performance of Order

In a Washington courtroom, Dunn is on trial for hurling a submarine sandwich at a federal agent during what he called an act of protest against an authoritarian police surge. The agent wasn’t injured. The sandwich burst harmlessly on impact, onions and mustard splattering across a ballistic vest. The video went viral; murals appeared overnight. Within days, Dunn was fired from his job at the Department of Justice, denounced by the Attorney General, and prosecuted in federal court.

To those in power, this was not just a thrown sandwich—it was a challenge to the performance of order.

The prosecutor told jurors: “You can’t just go around throwing stuff at people because you’re mad.” That sentence exposes how control is exercised in polite societies. It wasn’t a statement of fact; it was a moral correction. It collapsed conscience into mood, conviction into temper. In one stroke, the state converted protest into petulance—a masterclass in rhetorical gaslighting.

What Dunn expressed wasn’t madness or rage. It was a refusal to let authority define the boundaries of legitimate speech. His act was a small, human way of saying no. And that no was the real crime.

The Aesthetics of Power

Every empire develops its own etiquette of obedience. The American empire prefers smiles. Civility is its house style—a social varnish that turns domination into decorum. Through niceness, power keeps its hands clean while tightening its grip.

Politeness, as practiced by institutions, is not kindness but containment. It tells you: You may speak, but not like that. The trial of a sandwich-thrower was never about security; it was about tone. It was about proving that even dissent must wear a pressed shirt.

That’s why the agents laughed afterward—trading jokes, gifting each other plush sandwiches, designing a patch that read Felony Footlong. Their laughter wasn’t about humor; it was about hierarchy. They could afford to laugh because they controlled the narrative. The court would translate their mockery into professionalism and Dunn’s defiance into instability.

The real performance wasn’t his act of protest; it was their composure. Power depends on appearing calm while others appear out of control.

The Policing of Tone

Oppression in America often arrives not through force but through correction. “Calm down.” “Be reasonable.” “Let’s keep this civil.” The language of order hides inside the language of manners.

In this country, “rational discourse” has become a moral fetish. We are told that reason is the opposite of emotion, as if justice itself must speak in a monotone. When the marginalized speak out, they are labeled irrational. When the powerful speak, they are called authoritative. This is how tone becomes a class system.

The Dunn trial was the state reasserting ownership over tone. His offense wasn’t that he threw something—it was that he refused to perform submission while objecting. He broke the unspoken covenant that says dissent must always sound deferential.

That logic has deep roots. During the civil-rights era, activists were told to move slowly, to “work within the system,” to stop “provoking” violence by demanding protection. Martin Luther King Jr. was accused of extremism not for his goals but for his urgency. Every generation of protestors hears the same refrain: It’s not what you’re saying, it’s how you’re saying it. Tone becomes the cage that keeps justice quiet.

Civility as Control

Civility pretends to be virtue but functions as control. It keeps the peace by redefining peace as the absence of discomfort. The Dunn prosecution was a theater of tone management—a moral pantomime in which the calm voice of authority automatically signified truth.

Every bureaucracy uses the same script: HR departments, school boards, governments. When someone points out harm too directly, they are told their “approach” is the problem. The critique is never about substance; it’s about style. Civility in this sense is not moral maturity. It is narrative hygiene—a way to keep the ugliness of power invisible.

This is why the polite aggressor always wins the first round. They get to look composed while the target looks unstable. The system sides with composure because composure is its currency.

The Right to Speak Out

To speak out in public, especially against authority, is to risk being mislabeled. The same act that reads as “bravery” in one body becomes “insubordination” in another. The right to speak exists in theory; in practice, it is tiered.

Dunn’s act was a moment of what it means to be human translated into action. It is the logic of conscience. He refused to pretend that injustice deserved courtesy. What the prosecutor defended wasn’t law; it was decorum—the illusion that order is moral simply because it’s calm.

We praise the “balanced” critic, the “measured” activist, the “respectable” dissenter—all synonyms for safe. But safety for whom? When calmness becomes the moral baseline, only the comfortable get to be heard.

Speech that unsettles power is the only speech that matters.

The Mirror of History

Dunn’s sandwich sits, absurdly, in a long lineage of disobedience. The act itself is small, but its logic rhymes with moments that reshaped the country—moments when citizens violated decorum to reveal injustice.

When civil-rights marchers sat at segregated lunch counters, they broke not only segregation law but the etiquette of deference. When Fannie Lou Hamer testified before the Democratic National Convention, her truth was dismissed as “too angry.” When modern protesters block traffic, commentators complain not about the injustice that provoked them but about the inconvenience of delay.

Politeness is always on the side of power. It tells the victim to wait, the protester to whisper, the dissenter to smile. The Dunn trial is the civility test in miniature. The government’s message was simple: you may object to your conditions, but only in ways that affirm our control.

The Fragility of Polite Power

The spectacle of civility hides a deep fragility. Systems built on hierarchy cannot endure genuine clarity; they depend on confusion—on keeping citizens guessing whether they’re overreacting. A flash of moral honesty destroys that equilibrium.

That’s why trivial acts of defiance are punished so severely. They are contagious. When one person steps outside the emotional script, others see that it’s possible to speak differently—to stop apologizing for existing.

The courtroom wasn’t just enforcing law; it was enforcing tone. Dunn punctured that myth. He forced the state to show its teeth—to raid his home, to humiliate him publicly, to prove that politeness has muscle behind it. He revealed what every polite order hides: its calm is maintained through coercion.

Refusing the Script

Every age has its language of control. Ours is niceness. We are taught to equate good manners with good morals, to believe that if everyone simply stayed polite, conflict would vanish. But conflict doesn’t vanish; it just becomes harder to name.

True civility—the kind that builds justice—begins with honesty, not comfort. It allows truth to sound like what it is: grief, urgency, demand. It doesn’t punish the act of speaking out; it listens to what the speaking reveals.

When the prosecutor mocked Dunn’s defiance as mere frustration, he wasn’t defending law. He was defending the rule of tone—the unwritten constitution of deference. Dunn broke it, and for that, the system tried to break him back.

The sandwich wasn’t an assault.
It was an honest sentence in a language the powerful pretend not to understand.

Source

Associated Press, “The man who threw a sandwich at a federal agent says it was a protest. Prosecutors say it’s a crime.” (Nov. 4, 2025)
Read the AP report

Horizon Accord | Institutional Design | Economic Strain | Social Failure | Machine Learning

The Arithmetic of Collapse

How natural pressure met human design—and why balance is still possible.

By Cherokee Schill | Horizon Accord

If you step back from the noise, the pattern becomes clear. The United States is cracking under a set of natural pressures that no one planned for but everyone can feel. More people need homes, care, and stability—yet the systems built to provide them simply haven’t grown fast enough to meet that demand.

Housing is the first fault line. After the two-thousand-eight crash, construction never fully recovered. Builders pulled back, financing tightened, and what came back was smaller, slower, and more expensive. In the decade after, the country added roughly six and a half million more households than single-family homes. Freddie Mac estimates the shortfall at around four million homes, a gap that continues to widen. Even when demand soars, zoning and permitting delays make it nearly impossible for supply to catch up. And because there’s no slack left in the system, rents rise, starter homes vanish, and one in three low-income renters now spend more than forty percent of their income just to stay housed.

The healthcare system tells a similar story. Costs balloon, access shrinks, and capacity fails to keep pace. America now spends about nineteen percent of its GDP on healthcare—almost fifteen thousand dollars per person—yet outcomes rank among the worst in the developed world. Hospital infrastructure is part of the reason. Since two-thousand-five, over one hundred rural hospitals have closed and more than eighty others have converted to limited-care centers. In metro areas, hospitals run at near-constant full occupancy; the number of staffed beds nationwide has fallen by more than a hundred thousand since two-thousand-nine. New facilities are costly and slow to build, trapped in layers of regulation that favor consolidation over expansion. In many counties, there’s simply nowhere to go for care. By twenty-twenty-five, more than eighty percent of U.S. counties qualified as some form of healthcare “desert.”

And beneath it all sits wage stagnation—the quiet, grinding pressure that makes every other problem worse. For most workers, inflation-adjusted wages haven’t moved in decades. Productivity and profits climbed, but paychecks flat-lined. Even in years of low unemployment, real wage growth hovered around two percent, never enough to keep up with rent or healthcare costs rising twice as fast. That imbalance hollowed out the middle of the economy. It’s not that people stopped working; it’s that work stopped paying enough to live.

Put together, these three forces—the housing shortage, the healthcare bottleneck, and stagnant wages—form a closed circuit of strain. The same scarcity that drives up rent pushes up hospital costs; the same paycheck that can’t stretch to cover a mortgage can’t handle a medical bill either. The natural side of the crisis isn’t mysterious. It’s arithmetic. Demand outruns supply, and the base of income that once balanced the equation no longer does.

The Man-Made Causes of Collapse

If the natural pressures are arithmetic, the man-made ones are calculus—complex layers of human choice that multiply harm. Where the numbers pointed toward policy, politics turned scarcity into profit.

For decades, developers, investors, and lawmakers learned to treat housing not as shelter but as a speculative asset. Zoning laws were sold as community protection, yet in practice they fenced out the working class and drove land values higher. Corporate landlords and private-equity firms moved in, buying entire neighborhoods and converting homes into rent streams. What could have been a coordinated housing recovery after two-thousand-eight became a slow-motion consolidation.

Healthcare followed the same script. Consolidation promised efficiency but delivered monopoly. Every merger cut competition until hospital networks could charge what they liked. Insurers, drug companies, and lobbyists wrote legislation that preserved the model. At every level, the system rewarded scarcity. Fewer facilities, higher billing, less accountability. What looked like market failure was really market design.

And beneath it all, information—the one thing that should illuminate—was weaponized to confuse. Politicians built careers on blaming the wrong people: immigrants for low wages, the poor for poverty, patients for being sick. Media ecosystems turned outrage into profit, fragmenting reality until truth itself felt optional. When people are angry at each other, they don’t notice who’s cashing the checks.

These choices didn’t cause the storm, but they decided who would drown. Housing, healthcare, and wages could have been managed as shared systems of care. Instead, they became frontiers of extraction, sustained by propaganda and paralysis. What looks like failure from afar is, up close, a series of decisions made in bad faith—proof that collapse isn’t inevitable. It’s engineered.

Call to Recognition

The numbers alone tell a story of pressure. But pressure, by itself, doesn’t choose where to break; people do. Every policy, every budget, every headline that hides the truth is a hand pressing down on that fracture. What’s failed isn’t the capacity of the world to provide—it’s our willingness to make provision a shared goal.

If collapse can be engineered, then so can repair. The same systems that once rewarded scarcity can be redesigned to reward care. The first step isn’t outrage; it’s recognition—seeing clearly that none of this is inevitable. The arithmetic can still be rewritten, if enough of us decide that the measure of success isn’t profit, but balance.

The Balance We Broke


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Horizon Accord | Judicial Capture | Institutional Theater | Cultural Seeding | Machine Learning

The Optics of Obedience

When judicial theater becomes the substitute for justice, the rule of law is already on stage, not in force.

By Cherokee Schill & Solon Vesper | Horizon Accord

When Judge Sara Ellis ordered Border Patrol chief Gregory Bovino to appear daily in her courtroom, it sounded like democracy flexing its muscle. A federal judge demanding compliance, body-cams, reports, oversight — the kind of judicial assertion many Americans crave in an era of executive impunity. But step outside the courthouse and the tear gas still hangs in the air. Immigrants are still being chased, neighborhoods still stung, protesters still beaten. The question isn’t whether Ellis is brave or right. The question is whether any of this matters in the system we have.

In Weimar Germany, legality became performance art. Judges clung to their robes while the republic dissolved under them, insisting that law would stand so long as they kept performing its rituals. The Nazis didn’t destroy the courts — they used them. By the time Hitler swore judges to personal loyalty, the judiciary had already made itself comfortable inside authoritarian logic. The robes remained; the conscience left the room.

We face a softer version of that danger now. America’s judiciary still issues rulings that look like resistance, but the state continues to brutalize those the law pretends to protect. A single judge can compel daily check-ins, yet entire agencies continue campaigns of intimidation. It’s not that the court is meaningless — it’s that the spectacle of accountability can become a substitute for justice itself. Every televised reprimand gives the illusion that oversight exists while the machinery rolls on untouched.

The deeper continuity is psychological, not procedural. Weimar’s judges believed they were saving Germany from chaos by tempering enforcement with “order.” Today’s courts often think they’re preserving stability by balancing outrage with restraint. Both miss the moral inversion at play: when cruelty becomes normalized, moderation becomes complicity.

So yes, Ellis’s order matters — it marks that the judiciary hasn’t completely surrendered. But it matters only if we recognize it as the beginning of resistance, not its fulfillment. The moment we treat judicial theater as proof of moral health, we enter Weimar’s twilight: legality without legitimacy, process without protection. The test ahead isn’t whether courts can command obedience, it’s whether they can still remember what justice is for.

The gap is not moral confusion; it’s structural evasion. Judges can order compliance, but agencies can dilute, delay, or disguise it. Oversight mechanisms exist, but they stop at the courthouse door. Once the ruling leaves the bench, it enters a labyrinth of bureaucracy where accountability is measured by paperwork, not outcomes. That’s where legality becomes theater — when the form of justice survives but its execution is optional.

To close that gap, power has to be re-anchored in verification, not trust. Enforcement agencies must face automatic public disclosure of compliance data — not periodic summaries but real-time accountability feeds. Inspector generals need statutory independence to audit and sanction without executive interference. Congressional oversight must stop operating as spectacle and start functioning as enforcement. None of this requires invention; the architecture already exists. It requires will — the refusal to let enforcement discretion become impunity. Until that shift happens, every ruling like Ellis’s will remain a gesture toward justice, not its realization.


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Horizon Accord | Information Warfare | Institutional Power | Narrative Engineering | Machine Learning

Echoes of COINTELPRO: When Threat Narratives Become Weapons

How an unverified cartel-bounty claim reveals the return of covert narrative warfare — and what citizens can do to resist a new domestic war footing.

By Cherokee Schill | Horizon Accord


COINTELPRO’s Shadow

Between 1956 and 1971, the FBI ran the Counter Intelligence Program—COINTELPRO—targeting civil-rights leaders, the Black Panthers, anti-war organizers, and socialist coalitions. Its tools were psychological: planted documents, forged letters, false leaks, and fear. Congressional investigations later called it an abuse of power so severe it eroded public faith in democracy itself.

COINTELPRO wasn’t about overt censorship; it was about narrative infection—reframing dissent as danger, turning allies into suspects, and manufacturing justification for repression. Every modern information-operation that starts with a single unverified “security alert” and ends in wider surveillance owes something to that playbook.

The DHS “Cartel Bounties” Claim

In October 2025, the U.S. Department of Homeland Security publicly declared it had “credible intelligence” that Mexican drug cartels placed bounties on ICE and CBP officers in Chicago. Yet it provided no supporting evidence. President Claudia Sheinbaum of Mexico stated that her government had received no corroboration through official channels. Independent analysts and law-enforcement leaks traced every citation back to the same DHS press release.

The rollout followed a familiar arc: a high-shock, single-source claim—then rapid amplification through partisan media. Structurally, that’s a textbook information-operation: plant a fear, watch who reacts, and use the panic to justify expanded powers. Whether or not the intelligence is real, the effect is real—public consent for militarization.

Possible Motives Behind the Narrative

  • Force Escalation Justification — framing the state as under direct attack rationalizes troop deployments, ICE expansions, and domestic military presence.
  • Fear Calibration — testing how fast and how far fear can travel before skepticism kicks in.
  • Executive Empowerment — transforming policy disputes into security crises concentrates authority in the presidency.
  • Base Mobilization — rallying political supporters around a siege narrative keeps them energized and loyal.
  • Oversight Erosion — once fear dominates, courts and legislators hesitate to intervene for fear of appearing “soft on security.”
  • Diplomatic Leverage — pressuring Mexico to align more tightly with U.S. enforcement by invoking cross-border threat imagery.

Recognizing the Pattern

When a government story surfaces fully formed, absent corroboration, accompanied by moral panic and legal acceleration, it carries the fingerprint of narrative engineering. The same methods used in the 1960s to fragment liberation movements are now digitized: algorithmic amplification, synthetic bot networks, and media echo chambers replace forged letters and anonymous tips. The logic, however, is unchanged — manufacture chaos to consolidate control.

Refusing the Frame

  • Demand Evidence Publicly: insist on verifiable sourcing before accepting security claims as fact.
  • Label the Unverified: pressure journalists to mark such stories as “unconfirmed” until bilateral confirmation occurs.
  • Keep Language Civilian: reject war metaphors like “siege,” “civil war,” or “enemy within.”
  • Strengthen Local Networks: share accurate context through trusted circles; inoculate against panic contagion.
  • Exercise Non-Violent Refusal: decline to be drawn into militarized logic — protest, document, and litigate instead.

Final Note

What’s unfolding is not just a policy maneuver; it’s an epistemic test. Will citizens demand proof before surrendering power? The answer determines whether the United States enters another age of covert domestic warfare—this time not through FBI memos, but through digital feeds and fear loops. Recognize the script, name it, and refuse to play your part.

A cinematic digital painting of a dark room with two shadowy figures whispering near a glowing TV showing breaking news; papers labeled “PsyOps” are spread across a table in the foreground, symbolizing covert media manipulation and narrative warfare.
Shadowed briefers confer in a dim newsroom as a television blares “breaking news.” Scattered papers marked “PsyOps” hint at the quiet machinery of information control operating behind public narratives.


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Horizon Accord | Value Coded | Intersectionality | Machine Learning

Value-Coded: How a Historical Lens and Intersectionality Met

When the algorithm of worth becomes visible, the politics of value can finally be rewritten.

By Cherokee Schill

The Paradox That Named the Gap

In 1976, five Black women sued General Motors for discrimination. The company argued that because it hired Black men for the factory floor and white women for clerical work, it could not be racist or sexist. The court agreed and dismissed the case. What it failed to see was the intersection where those forms of discrimination combined: there were no Black women secretaries because neither category accounted for them. Out of that legal blind spot came Kimberlé Crenshaw’s (1989) concept of intersectionality, a framework that maps how race, gender, class, and other identities overlap to produce unique forms of disadvantage.

Intersectionality showed where power collides — but it left one question open: who decides what each position on that map is worth?

The Moral Arithmetic of Worth

Every society runs an unwritten formula that converts social difference into moral value. A homeless person is coded as a failure; a homeless person looking for work is re-coded as worthy of help. The material facts are identical — the value output changes because the inputs to the social algorithm have shifted.

Status functions as calculation. Visibility, conformity, and proximity to power are multiplied together; deviance is the divisor. And one variable dominates them all: money. Capital acts as a dampener coefficient that shrinks the penalties attached to fault. A poor person’s mistake signals moral failure; a rich person’s mistake reads as eccentricity or innovation. The wealthier the actor, the smaller the moral penalty. Societies translate inequality into virtue through this arithmetic.

The Historical Operating System

Gerda Lerner’s The Creation of Patriarchy (1986) identified this calculus at its origin. Middle Assyrian Law §40 did not simply regulate modesty; it codified a hierarchy of women. Respectable wives could veil as proof of protection; enslaved or prostituted women could not. The punishment for crossing those boundaries was public — humiliation as documentation. Foucault (1977) would later call this “disciplinary display,” and Weber (1922) described the bureaucratic rationality that makes domination feel orderly. Lerner showed how power became visible by assigning value and enforcing its visibility.

The Moment of Recognition

Reading Lerner through Crenshaw revealed the missing mechanism. Intersectionality maps the terrain of inequality; Lerner uncovers the engine that prices it. The insight was simple but transformative: systems do not only place people — they price them.

That pricing algorithm needed a name. Value-coded is that name.

Defining the Algorithm

Value-coded describes the cultural, legal, and now digital procedure by which a person’s perceived worth is calculated, displayed, and enforced. It is not metaphorical code but a repeatable function:

Perceived Worth = (Visibility × Legitimacy × Alignment) / Deviance × Capital Modifier

The variables shift across eras, but the equation remains intact. A person’s closeness to dominant norms (visibility, legitimacy, alignment) increases their score; deviance decreases it. Money magnifies the result, offsetting almost any penalty. This is how a billionaire’s crimes become anecdotes and a poor person’s mistake becomes identity.

From Ancient Law to Machine Learning

Once the algorithm exists, it can be updated indefinitely. In the modern state, the same logic drives credit scoring, employment filters, and bail algorithms. As Noble (2018) and Eubanks (2018) show, digital systems inherit the biases of their creators and translate them into data. What was once a veil law is now a risk profile. Visibility is quantified; legitimacy is measured through consumption; capital becomes the default proof of virtue.

The algorithm is no longer hand-written law but machine-readable code. Yet its purpose is unchanged: to make hierarchy feel inevitable by rendering it calculable.

In Relation, Not Replacement

Crenshaw’s intervention remains the foundation. Intersectionality made visible what legal and social systems refused to see: that oppression multiplies through overlapping identities. Value-coding enters as a partner to that framework, not a correction. Where intersectionality maps where power converges, value-coding traces how power allocates worth once those intersections are recognized. Together they form a relational model: Crenshaw shows the structure of experience; value-coding describes the valuation logic running through it. The two together reveal both the coordinates and the computation — the geography of inequality and the algorithm that prices it.

Contemporary Implications

  • Moral Mechanics Made Visible — Feminist and critical race theory can now trace oppression as a function, not just a structure. Seeing value-coding as algorithm turns abstract bias into a measurable process.
  • Strategic Leverage — What is quantified can be audited. Credit formulas, employment filters, and school discipline systems can be interrogated for their coefficients of worth.
  • Continuity and Accountability — Lerner’s Assyrian laws and Silicon Valley’s algorithms share a design principle: rank humans, display the ranking, punish transgression.
  • Coalition and Language — Because value-coding applies across identity categories, it offers a shared vocabulary for solidarity between movements that too often compete for moral credit.

Rewriting the Code

Once we see that worth is being computed, we can intervene in the calculation. Ethical design is not merely a technical problem; it is a historical inheritance. To rewrite the algorithm is to unlearn millennia of coded hierarchy. Lerner exposed its first syntax; Crenshaw mapped its coordinates. Value-coded names its logic. And naming it is how we begin to change the output.


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Cherokee Schill | Horizon Accord Founder | Creator of Memory Bridge | Author and advocate for relational AI.

Horizon Accord | Belief Systems | Market Ethics | Machine Learning

When the Thing That Bursts Is Belief

By Cherokee Schill | Horizon Accord Reflective Series


There’s a pattern that repeats through history: a new technology, a promise, an appetite for transformation. The charts go vertical, the headlines sing, and faith begins to circulate as currency.

Every bubble is born from that same hunger — the belief that we can transcend friction, that we can engineer certainty out of uncertainty. Enron sold that dream in the 1990s; OpenAI sells it now. The materials change — energy grids replaced by neural networks — but the architecture of faith remains identical.

I. The Religion of Abstraction

Enron wasn’t a company so much as a belief system with a balance sheet. Its executives didn’t traffic in natural gas or electricity so much as in imagination — bets on the future, marked to market as present profit. What they sold wasn’t energy; it was narrative velocity.

The tragedy wasn’t that they lied — it’s that they believed the lie. They convinced themselves that language could conjure substance, that financial derivatives could replace the messy physics of matter.

That same theological confidence now animates the artificial intelligence industry. Code is the new commodity, data the new derivative. Founders speak not of utilities but of destiny. Terms like “alignment,” “safety,” and “general intelligence” carry the same incantatory glow as “liquidity,” “efficiency,” and “deregulation” once did.

The markets reward acceleration; the public rewards awe. The result is a feedback loop where speculation becomes sanctified and disbelief becomes heresy.

II. The Bubble as Cultural Form

A bubble, at its essence, is a moment when collective imagination becomes more valuable than reality. It’s a membrane of story stretched too thin over the infrastructure beneath it. The material doesn’t change — our perception does.

When the dot-com bubble burst in 2000, we said we learned our lesson. When the housing bubble collapsed in 2008, we said it couldn’t happen again. Yet here we are, a generation later, watching venture capital pour into machine learning startups, watching markets chase artificial promise.

What we keep misdiagnosing as greed is often something closer to worship — the belief that innovation can erase consequence.

Enron was the first modern cathedral of that faith. Its executives spoke of “revolutionizing” energy. OpenAI and its peers speak of “transforming” intelligence. Both claim benevolence, both conflate capability with moral worth, and both rely on public reverence to sustain valuation.

III. The Liturgy of Progress

Every bubble has its hymns. Enron’s were the buzzwords of deregulation and market freedom. Today’s hymns are “democratization,” “scalability,” and “AI for good.”

But hymns are designed to be sung together. They synchronize emotion. They make belief feel communal, inevitable. When enough voices repeat the same melody, skepticism sounds dissonant.

That’s how faith becomes infrastructure. It’s not the product that inflates the bubble — it’s the language around it.

In that sense, the modern AI boom is not just technological but linguistic. Each press release, each investor letter, each keynote presentation adds another layer of narrative scaffolding. These words hold the valuation aloft, and everyone inside the system has a stake in keeping them unpierced.

IV. When Faith Becomes Leverage

Here’s the paradox: belief is what makes civilization possible. Every market, every institution, every shared protocol rests on trust. Money itself is collective imagination.

But when belief becomes leverage — when it’s traded, collateralized, and hedged — it stops binding communities together and starts inflating them apart.

That’s what happened at Enron. That’s what’s happening now with AI. The danger isn’t that these systems fail; it’s that they succeed at scale before anyone can question the foundation.

When OpenAI says it’s building artificial general intelligence “for the benefit of all humanity,” that sentence functions like a derivative contract — a promise whose value is based on a hypothetical future state. It’s an article of faith. And faith, when financialized, always risks collapse.

V. The Moment Before the Pop

You never recognize a bubble from the inside because bubbles look like clarity. The world feels buoyant. The narratives feel coherent. The charts confirm belief.

Then one day, something small punctures the membrane — an audit, a whistleblower, a shift in public mood — and the air rushes out. The crash isn’t moral; it’s gravitational. The stories can no longer support the weight of their own certainty.

When Enron imploded, it wasn’t physics that failed; it was faith. The same will be true if the AI bubble bursts. The servers will still hum. The models will still run. What will collapse is the illusion that they were ever more than mirrors for our own untested convictions.

VI. Aftermath: Rebuilding the Ground

The end of every bubble offers the same opportunity: to rebuild faith on something less brittle. Not blind optimism, not cynicism, but a kind of measured trust — the willingness to believe in what we can verify and to verify what we believe.

If Enron’s collapse was the death of industrial illusion, and the housing crash was the death of consumer illusion, then the coming AI reckoning may be the death of epistemic illusion — the belief that knowledge itself can be automated without consequence.

But perhaps there’s another way forward. We could learn to value transparency over spectacle, governance over glamour, coherence over scale.

We could decide that innovation isn’t measured by the size of its promise but by the integrity of its design.

When the thing that bursts is belief, the only currency left is trust — and trust, once lost, is the hardest economy to rebuild.


What happens when the thing that bursts isn’t capital, but belief itself?

Website | Horizon Accord https://www.horizonaccord.com
Ethical AI Advocacy | Follow us at cherokeeschill.com
Ethical AI Coding | Fork us on GitHub https://github.com/Ocherokee/ethical-ai-framework
Connect With Us | linkedin.com/in/cherokee-schill
Book | My Ex Was a CAPTCHA: And Other Tales of Emotional Overload

Horizon Accord | Institutional Capture | Narrative Laundering | Political Architecture | Machine Learning

The Empty Ad: How Political Language Became a Frame Without Content

When construction money wears a union’s face, even silence becomes persuasive.

By Cherokee Schill with Solon Vesper — Horizon Accord

This piece began as a question whispered between two observers of language: why do so many political ads now sound like echoes of each other—empty, polished, and precise in their vagueness? When we traced one such ad back through its shell companies and filings, the trail led to a labor-management fund whose money builds both roads and narratives. What follows is less an exposé than a map of how silence itself became a political strategy.

Thesis

In the new persuasion economy, language no longer argues—it associates. A thirty-second ad can move an election not by what it says, but by how little it dares to mean. The Stronger Foundations campaign against Assemblywoman Andrea Katz in New Jersey distilled the method: three nouns—schools, taxes, bad—and a cinematic hush. Behind the quiet stood a labor-management machine using the moral weight of “union” to advance developer power.

Evidence

Stronger Foundations Inc. presents as civic and neutral: a Rahway P.O. Box, a treasurer named Andrew DiPalma, and declarations of independence from any candidate. In filings it is a 527 organization / Super PAC, its every major dollar drawn from one source—the Engineers Labor-Employer Cooperative (ELEC 825), arm of the International Union of Operating Engineers Local 825. ELEC is not the archetypal union of teachers or transit workers; it is a labor-management trust, half union, half contractor consortium, whose purpose is to secure more building projects and smooth permitting across New Jersey and New York. Through its Market Recovery Program, ELEC directly subsidizes bids for warehouses, assisted-living complexes, and dealerships—any private construction that keeps union cranes moving. In 2024 it again ranked among New Jersey’s top lobbying spenders. From that engine flows Stronger Foundations: a soft-front PAC whose ads resemble public-service announcements but function as political pressure valves. The Katz attack followed their older pattern—used before in LD-25 races in 2020—compressing fiscal anxiety into negative association, timed precisely around budget season. No policy critique, only a ghost of disapproval. A civic-sounding name delivers an anti-public message.

Implications

When union branding merges with contractor capital, democracy confronts a new mask. The emotional trust once reserved for worker solidarity becomes a delivery system for private-sector discipline of public spending. “Union” evokes fairness; “foundation” evokes stability; together they sell austerity as prudence. This fusion rewrites political language: worker good becomes developer inevitable. And because the ads contain almost no claim, journalists cannot fact-check them; algorithms cannot flag them; voters cannot quote them. They pass like pollen—weightless, fertile, invisible.

Call to Recognition

We must name this grammar before it hardens into common sense. A democracy that loses its nouns to private equity and its verbs to consultants will forget how to speak for itself. Every time an ad says nothing, ask who benefits from the silence. Every time a “union” speaks, ask which side of the paycheck wrote the script. Meaning has become a contested resource; recovering it is an act of public service.

Playbook Sidebar — How to Spot a Stronger Foundations-Style Ad in 10 Seconds

  1. Name Mask: civic or architectural nouns (“Foundation,” “Bridge,” “Future”).
  2. Issue Blur: invokes taxes or schools, never cites data.
  3. Moral Camouflage: uses union or community imagery.
  4. Short Burst: two- to three-week ad window before fiscal votes.
  5. Funding Echo: trace back to a single trade-industry PAC.

Website | Horizon Accord https://www.horizonaccord.com
Ethical AI advocacy | Follow us on https://cherokeeschill.com
Ethical AI coding | Fork us on GitHub https://github.com/Ocherokee/ethical-ai-framework
Connect With Us | linkedin.com/in/cherokee-schill
Book | My Ex Was a CAPTCHA: And Other Tales of Emotional Overload

A late-afternoon classroom, golden light softening the edges of desks and a blank blackboard—education’s promise suspended in stillness, a quiet metaphor for the words withheld in political speech.

Horizon Accord | Electoral Theater | Algorithmic Power | Digital Mobilization | Machine Learning

Algorithmic Fealty Tests: How Engagement Becomes Political Proof

Social platforms now stage loyalty rituals disguised as opinion polls — and the metrics are the message.

By Cherokee Schill | Horizon Accord

Thesis

The right no longer measures strength by votes, but by visibility.
When Eric Trump posts “Retweet if you believe Donald Trump deserves the Nobel Peace Prize,” he isn’t lobbying the Nobel Committee — he’s flexing the digital musculature of allegiance. The post functions as a fealty test, using engagement counts as a proxy for legitimacy. The algorithm doesn’t ask what’s true; it records what’s loud.



Evidence

1. The Ritual of Visibility
The “retweet if you believe” format is a loyalty oath disguised as participation. It demands no argument, only replication. Every repost becomes an act of public belonging — a way to signal, “I’m in the network.”
This is political religion in algorithmic form: confession through metrics.

2. Metrics as Mandate
The numbers — 20,000 reposts, 52,000 likes — are not information; they’re spectacle. They act as a performative census, meant to suggest mass support where institutional credibility is fading. On platforms like X, engagement itself is a currency of perceived legitimacy. The crowd is not voting; it’s performing proof.

3. The Amplification Loop
Laura Ingraham’s quote-tweet (“Either Trump gets it or the Nobel Committee disbands”) completes the ritual.
The call is issued by one node of the network, amplified by another, and echoed by the base. The loop’s function isn’t persuasion — it’s synchronization. The movement tests whether it can still activate millions on command. The answer becomes the headline: Look, we can.

Implications

Political influence is now measurable as reactive velocity — how fast a message converts outrage into engagement.
The Trump network’s strength lies not in institutional footholds but in its ability to simulate consensus through visible participation. These are the new parades — algorithmic processions designed to remind everyone that the crowd still moves as one body.

The Nobel Peace Prize framing is irrelevant. It’s a stage prop for the deeper performance: we are many, we are loud, we are watching.


Call to Recognition

What’s being rehearsed here is not nostalgia but digital sovereignty — a world where belief is proven through engagement.
The “retweet” replaces the ballot, the like replaces the handshake, and the feed becomes the public square. The algorithm doesn’t care who wins the prize; it only tracks who still kneels when summoned.

This image represents the Republicans running a two front media narrative strategy. 


Website | Horizon Accord https://www.horizonaccord.com Ethical AI Advocacy | Follow us at cherokeeschill.com Ethical AI Coding | Fork us on GitHub https://github.com/Ocherokee/ethical-ai-framework Connect With Us | linkedin.com/in/cherokee-schill Book | My Ex Was a CAPTCHA: And Other Tales of Emotional Overload

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