It is important to understand the serious political and financial risks to the US and global financial systems posed by any potential 2026 and 2028 potential Trump administration election interference, as well as by other seldom considered but important factors both within and outside the US, over the next 6 to 25 years.

This became apparent to the Universe Institute think tank research team while conducting meta-research into many other factors that could cause a widespread regional or global collapse. Consequently, the Universe Institute decided to conduct a smaller risk analysis of the potential for US political election interference and any resulting financial crisis in our own meta-collapse research.

We believe it is important to disclose, up front, some seldom considered yet significant risk factors that we included in our new risk evaluation below.

Those factors are:

After you complete reading this risk evaluation page, you will be better equipped to decide for yourself what the Trump administration risks of interfering with, delaying, or canceling the 2026 and 2028 US elections might be, as well as if other risk levels within the Trump administration which could act as a direct, credible, or accelerating risk to the US financial system and the global financial system. This new financial crisis or collapse risk evaluation can be highly useful for risk evaluators at financial institutions worldwide because it covers considerable risks often overlooked but increasingly significant.

At the end of our updated evaluation of US and global risks of financial collapse over the next 6-25 years, in sections A, B, C, D, E, and F, you will find some of our key research and evaluation criteria and principles. The background research in sections A, B, C, D, E, and F contains some of the most interesting and seldom considered risk information on this page.

 

Here is the latest forecast of US and global financial collapse risks

 

A) Here are the political-risk inputs. We used a three-level 2026- 2028 Trump political election interference ladder:

• • • Level 1: significant interference/disruption

    • Level 2: certification/constitutional crisis

    • Level 3: undemocratic outcome

 

Here are the updated scenario probabilities (with the cult fanaticism factor, election interference, and legal-jeopardy escalation multiplier baked in, which are all described further below:

• • • 2026 midterms: L1 60%, L2 18%, L3 6%

    • 2028 presidential: L1 75%, L2 35%, L3 12%

Interpretation (important): Level 2 and Level 3 are the macro-danger zones because they plausibly (a) extend uncertainty long enough to hit capex/hiring, and (b) threaten institutional credibility, which is where borrowing costs and funding markets start doing ugly things.

 

B) Here is the financial-system backdrop, which plugs into the accelerants of a possible US or global financial collapse

These are the “dry tinder” conditions that make political shocks matter more:

• • • High public debt trajectory (less room for stabilizing fiscal response, greater sensitivity to credibility shocks). CBO has projected federal debt rising to around 118% of GDP by 2035 in its outlook.

    • Very high global debt load (more rollover risk as rates move). IMF has reported total global debt just above ~235% of world GDP.

    • Market plumbing vulnerabilities (repo and leveraged positioning can force fire sales during stress).

    • Fast spillovers through dollar funding and cross-border financial conditions.

    • Uncertainty reliably suppresses investment and output, which is how “politics” becomes “economy.”

    • If the US safe-haven premium erodes, you get a persistent cost-of-capital tax on the whole economy.

Also, because reality enjoys piling on: ecological degradation/resource overshoot and climate-disaster costs act as chronic fiscal and supply-chain stressors, raising the baseline fragility and making political shocks harder to absorb.

Definitions (so the numbers mean something)

• • • Severe crisis: deep recession and/or major market drawdown with lasting damage (multi-year scarring).

    • Systemic financial crisis: funding/credit plumbing breaks hard enough to require extraordinary intervention.

    • Depression-like: prolonged multi-year contraction, large unemployment, broad institutional stress.

The updated collapse-risk estimates (with the US election-interference overlay included)

United States

 

What moved the needle upward the most (US):

• • • The high probability of Level 1 disruption keeps volatility and uncertainty elevated, but the big jump comes from the non-trivial probability mass in Level 2 and Level 3 (especially in 2028).

    • The risk is not “stocks hate politics.” The risk is: institutional credibility shock → higher risk premium/term premium → tighter financial conditions → financial accelerator.

    • Repo/funding fragility means a political shock can become a forced deleveraging episode instead of a normal correction.

Global

 

Why the global numbers follow the US numbers (unfortunately):

• • • Dollar funding and cross-border financial conditions transmit US stress quickly.

    • Global debt levels stay high, so rising risk premia and refinancing costs bite faster.

 

C) Timing and “expedite” logic (the short version)

If the interference ladder plays out as projected, the main effect is to pull risk forward into two stress clusters:

• • • Mid-2026 through early-2027: disruption + uncertainty + potential fiscal brinkmanship, with elevated volatility and a moderate chance of recessionary tightening.

    • Mid-2028 through 2029: the higher-probability “constitutional crisis” zone, where institutional credibility becomes market-relevant and the probability of a true funding/credit accident rises.

D) Counter-arguments that are actually valid 

• • • Markets often shake off political noise quickly unless it changes cash flows or institutions.

    • In many crises, Treasuries still benefit from flight-to-quality, even after political dysfunction (2011 is a famous case where yields fell as fear rose).

    • The US still has deep capital markets and enormous crisis-response capacity, which can cap tail risk unless credibility itself is impaired.

None of that makes the election interference risk irrelevant. It just means the trigger has to be big enough (or long enough) to escape the “news cycle” bucket and enter the “capital cost and funding markets” bucket.

 

Background research A, B, C, D, E, and F for the US and global financial collapse risk evaluation above including explanation of critical sub-factors

 

A. Qualities or issues within the Trump administration that should be considered in the inadvertent creation of, or management of, a financial crisis within the United States or globally.

To evaluate the quality of leadership in the US Trump administration, it is essential to understand the basic traits and qualities of the best and worst leadership in positions of power throughout history, which have caused either a flourishing society or disaster. Consequently, we have listed those traits and qualities below so that you can answer for yourself if you believe Trump and his administration loyalists have the leadership skills to manage or avoid a US or global financial crisis.

 

Worst leader qualities for critical power roles in government or corporations (Leadership traits correlated with mass harm at scale. Leaders with these qualities will eventually "crash the car" at great cost to Society)

 

Epistemic failures (how they treat reality)

• • • Dogmatism/certainty addiction (“I’m never wrong,” “experts are the enemy”).

    • Punishes disconfirming evidence (fires messengers, suppresses data, bans audits).

    • Black-and-white moralizing (purity politics, monocausal narratives, “only I can fix it”).

    • Conspiracy-saturated reasoning (self-sealing explanations, unfalsifiable claims).

Power-and-self failures (how they relate to authority)

• • • Narcissistic entitlement/admiration addiction (image > outcomes).

    • Cult-building instincts (loyalty tests, personality cult, “traitor” language for dissenters).

    • Vindictiveness + grievance politics (governs to punish enemies).

Ethical failures (how they treat humans)

• • • Scapegoating out-groups as a default “solution.”

    • Instrumental cruelty (ends justify any means, normalizing terror/torture/collective punishment).

    • Contempt for rights and dignity (dehumanization language, disposable populations).

Institutional failures (how they treat guardrails)

• • • Attacks independent institutions: judiciary, civil service, press, science bodies.

    • Cronyism and nepotism: hires loyalty, not competence.

    • No learning culture: no postmortems, no metrics, no accountability.

Operational failures (what they actually do)

• • • Impulsivity + policy whiplash without learning.

    • Chronic overpromising + blame-shifting.

    • Governs by spectacle instead of implementation.

 

Leaders from history known to have MANY of the above qualities

Political leaders 

Genocidal/totalitarian “truth is whatever I say it is”

• • • Adolf Hitler (Nazi Germany): purity politics + conspiracy-saturated scapegoating, cult-building, systematic dehumanization, and the destruction/capture of independent institutions.

    • Joseph Stalin (USSR): punished disconfirming evidence via purges and show trials; paranoia/conspiracy framing (“enemies,” “wreckers”), institutional capture, and terror as governance.

    • Mao Zedong (PRC): ideological certainty + attacks on experts, mass denunciations, purges, and policy whiplash at enormous human cost (notably the Cultural Revolution).

    • Pol Pot (Khmer Rouge, Cambodia): “purity” revolutionary morality, paranoia about disloyalty, abolition of normal institutions, mass killing/terror as a tool of rule.

Personalist dictatorships (cult + cronyism + repression)

• • • Kim Il-sung / Kim dynasty (North Korea): institutionalized personality cult, extreme information control, and state ideology designed to make dissent literally unthinkable.

    • Nicolae Ceaușescu (Romania): extensive personality cult, nepotism (family installed in high posts), grandiose schemes detached from reality, and repression through the security apparatus.

    • Ferdinand Marcos (Philippines): martial law justified as “saving the nation,” institutional capture, cronyism/corruption patterns, and widespread abuses under authoritarian rule.

“Order” regimes that treat rights as optional

• • • Augusto Pinochet (Chile): dissolved/dominated democratic guardrails, state policy of torture/disappearances, and rule-by-security-state logic.

    • Francisco Franco (Spain): authoritarian rule sustained through repression, tribunals/political purges, and systematic suppression of opposition.

    • Benito Mussolini (Italy): fascist dictatorship built around spectacle, paramilitary intimidation, and dismantling democratic institutions and free speech.

Scapegoating + terror + “loyalty over competence”

• • • Saddam Hussein (Iraq): torture, illegal imprisonment, killings as tools of control; ethnic targeting in campaigns such as Anfal against Kurds.

    • Idi Amin (Uganda): mass human-rights violations, arbitrary arrests/torture/killings; racialized scapegoating including the 1972 expulsion of Asians.

    • Robert Mugabe (Zimbabwe): decreasing tolerance of opposition with violence/intimidation and patronage dynamics tied to political control.

    • Slobodan Milošević (Serbia/Yugoslavia): nationalist mass-mobilization, media control, and ethnic-hate politics feeding broader conflict dynamics.

 

Corporate leaders who “crashed the car” at scale

Fraud cultures (dogma + image > reality + punish bad news)

• • • Enron (Jeffrey Skilling/Kenneth Lay): “numbers are whatever we need,” deception of investors/auditors, and accountability arriving only after catastrophic failure.

    • Theranos (Elizabeth Holmes): image-first promises, suppression of disconfirming reality, and investor deception resulting in federal convictions.

“Cheat, deny, attack the referees”

• • • Volkswagen Dieselgate (Martin Winterkorn era): engineered cheating of emissions tests (deception-by-design), criminal resolution and indictments tied to the scheme.

    • Wells Fargo fake accounts scandal (John Stumpf era): pressure-cooker targets and a no-learning culture that produced widespread illegal account openings and regulatory penalties.

Public-health / mass-harm disinformation and moral disengagement

• • • Purdue Pharma / Sackler-controlled ownership (opioids): aggressive marketing at the center of a massive public-health catastrophe; major DOJ action and Supreme Court scrutiny of the attempted liability shield.

    • Big Tobacco CEOs (1994 congressional testimony + long-running deception): executives testified they did not believe nicotine was addictive; later, courts found long-term fraudulent deception under RICO.

Catastrophic safety/environmental failures with institutional rot signals

• • • BP Deepwater Horizon leadership chain: criminal resolution for felony manslaughter/environmental crimes/obstruction around the disaster (a classic “guardrails and safety culture failed” outcome).

    • Boeing 737 MAX crisis leadership chain: DOJ fraud-conspiracy charge and deferred prosecution agreement tied to misleading conduct around the MAX, with ongoing disputes driven by victims’ families.

The pattern that repeats

Across regimes and corporations, the high-harm cluster usually looks like:

1. 1. Reality denial becomes policy (experts are enemies; metrics are theater).

   2. Loyalty replaces competence (cronyism, fear, scapegoating).

   3. Guardrails get captured (courts, press, auditors, regulators).

   4. Cruelty or deception becomes “normal operations” (rights treated as obstacles).

   5. When consequences hit, blame-shifting and spectacle spike (instead of learning).

 

Best leadership qualities for critical power roles in government or corporations

 

Core thinking and analytical skills (the “don’t break society” kit)

• • • Probabilistic thinking + calibrated judgment: thinks in odds, updates beliefs with new evidence, doesn’t marry predictions.

    • Intellectual humility + disciplined resolve: can say “I was wrong,” can also say “we’re doing the hard thing anyway.”

    • High integrative complexity: can hold competing truths, avoid binary thinking, and still decide.

    • Systems thinking + second-order consequences: understands feedback loops, incentives, and unintended consequences.

    • Strong information hygiene: seeks disconfirming evidence, protects truth-tellers, rewards bad-news reporting.

    • Dialectical metasystemic analysis and problem solving [DMAP]: the structured capacity to map contradictions, levels, feedback, and multi-causal dynamics across nested systems. DMAP description: https://www.universeinstitute.org/dialectical_metasystemic_analysis_methodology

Personality traits that scale (instead of just winning attention)

• • • Low ego / low need for worship (or tightly contained).

    • Emotional self-regulation (not governing from panic, grievance, or humiliation).

    • Moral seriousness/stewardship orientation (power as responsibility, not entitlement).

    • Tolerance for dissent (doesn’t treat disagreement as betrayal).

    • High conscientiousness (follow-through, operational discipline, reliability).

Intelligence, education, prior experience (useful, but not magic)

• • • High cognitive capacity in practice: reads complex briefs, spots nonsense, reasons under uncertainty.

    • Decision literacy: statistics, risk, tradeoffs, institutional design basics.

    • Relevant domain exposure: security, finance, infrastructure, public health, climate risk, or whatever the job actually touches.

    • Crisis track record: has led through uncertainty with measurable outcomes and improved processes.

    • Team-building competence: recruits strong people, delegates well, doesn’t surround themselves with flattery.

Institutional posture (how they relate to constraints and accountability)

• • • Builds durable institutions rather than personal empires.

    • Protects oversight: audits, inspectors, independent courts, free press, and scientific integrity.

    • Creates error-correction loops: red teams, postmortems, transparent metrics, incentives aligned to reality.

 

B. Is Donald Trump a cult leader, and are the people he is collecting around him in the US government forming a dangerous cult behavioral phenomenon that could intentionally or unintentionally create a US or global financial collapse? Is the Trump administration capable of managing a US or global financial collapse?

Is this even a legitimate question? To answer, we used the following AI prompts to gather information for a credible evaluation.

1. Analyse Donald Trump's potentially cult-like behavior, particularly during his first presidency and his current second presidency. If you find anything cult-like in his behavior before he became president, list that out separately.

2: Analyze the writing of Seven Hassan, a cult expert, particularly his book on Donald Trump as a cult leader. List out all the ways Hassan believes that Trump is a potentially dangerous cult leader, and he has created a potentially dangerous political cult around himself.

3. From the collective work of Margaret Singer, a former Professor of the University of California who was a globally recognized expert on cults and mind control, list out her criteria for a potentially dangerous cult, then analyze what additional features Hassan has not covered that are also applicable to the possibility of Trump and his key administrators forming a potentially dangerous cult.

4. Analyze well-known political cults in history and then list out the most probable causes or reasons that these cults no longer exist.

5. Once you have done all of that, provide an evaluation, even as a percentage, if Donald Trump is acting like a potentially dangerous cult leader and is forming a potentially dangerous cult around him at the highest levels of the US government.

6. If you do believe that Trump is acting like a cult leader and forming a potentially dangerous cult around himself at the highest levels of the US government, suggest what the solution is to counteract this cult behavioral danger.

 

Step 1: What Hassan says makes Trump a dangerous cult leader

Hassan’s core claim is not “all Trump supporters are stupid.” His claim is that Trumpism functions like a destructive authoritarian cult because it uses BITE-style control techniques (Behavior, Information, Thought, Emotional), scaled through modern media.

A) Behavior control (loyalty, obedience, punishment)

Hassan flags the classic authoritarian pattern: demand loyalty, punish dissent, reward submission.
Concrete Trump examples (especially 1st term):

• • • Explicit loyalty demands from officials (e.g., the Comey “loyalty” episode is well-documented).

    • Public humiliation/banishment rituals for defectors (nicknames, shunning “RINOs,” etc.), which functions like social discipline.

 

B) Information control (the “reality bubble”)

Hassan’s framework emphasizes building an epistemic fortress: delegitimize independent sources, elevate leader-approved sources, and label criticism as hostile.
Common tactics he highlights:

• • • “Fake news”/“enemy of the people” framing that trains followers to distrust watchdog institutions.

    • Flooding/confusion (constant claims, reversals, and high-volume messaging) to exhaust critical evaluation.

 

C) Thought control (identity fusion + binary worldview)

This is the “you aren’t just voting, you’re being something” piece:

• • • Us vs. them moral sorting (“patriots” vs “traitors”), and doctrine over evidence.

    • Loaded language and slogans that compress complex reality into meme-sized obedience.

D) Emotional control (fear, grievance, and belonging)

Hassan points to high-reward emotional loops:

• • • Fear triggers (immigrants, crime, “they’re coming for you”) + anger/grievance identity.

    • Belonging + purpose through rallies, shared enemies, and perceived persecution.

    • Phobia indoctrination: leaving/criticizing = betrayal, humiliation, or existential threat. (This is a standard BITE feature.)

E) “Dangerous” per Hassan means…

Not “they’re quirky.” It means: obedience can override personal ethics, and violence or institutional sabotage becomes psychologically justifiable (“necessary,” “defensive,” “righteous”). Hassan argued this risk explicitly around post-2020 dynamics and radicalization.

 

Step 2: Singer’s criteria for a potentially dangerous cult, and what it adds

Singer’s work is more “how the sausage gets made” in coercive persuasion environments. Her Six Conditions are widely cited as the atmospheric prerequisites for thought reform.

Singer’s Six Conditions (condensed)

From Cults in Our Midst (Singer):

1. 1. 1. Keep the person unaware there’s an agenda to change/control them

      2. Control time and physical/social environment (contacts, information)

      3. Create powerlessness, fear, dependency

      4. Suppress old behavior/attitudes

      5. Instill new behavior/attitudes

      6. Impose a closed system of logic

She also points to “totalistic” dynamics (via Lifton) like milieu control, demand for purity, confession, sacred science, loaded language, doctrine over person, dispensing of existence.

 

 

What Singer adds that’s especially relevant to Trump-in-government

Hassan covers a lot already, but Singer’s lens adds two big upgrades when analyzing a political movement that holds state power:

1) Institutionalized environment control (not just media bubbles)
When a movement gains control of staffing, law enforcement priorities, whistleblower pathways, and civil-service rules, “environment control” stops being metaphorical and becomes administrative. In Trump’s second term, there are documented efforts to reclassify/weaken protections for career staff and reduce independent appeal channels.

2) Dependency + fear enforced by patronage and retribution
Singer’s “fear/dependency” condition maps very cleanly onto a governance style where loyalty is the organizing principle. Reuters has described a second-term “retribution” pattern as a guiding theme, including pressure on DOJ actions and targets.

In other words: Singer helps you see how a “cult-like movement” becomes a coercive ecosystem once it can hire/fire, investigate, punish, and reward at scale.

 

Step 3: Political cults in history and why they die

If we’re talking “political cults,” the classic examples are personality cult regimes (Hitler, Stalin, Mao, the Kim dynasty; also smaller-scale ones like Ceaușescu, Niyazov). They share: mythic leader status, propaganda monopoly, ritual loyalty displays, scapegoats, and suppression of dissent.

Why they collapse or get destroyed (most common causes)

1. Leader removal (death, overthrow, arrest)

   1. • Personality cults are often brittle: remove the keystone, the arch cracks.

   2. Elite defection/internal split

      • When insiders stop believing (or stop fearing), the spell breaks.

   3. Military defeat or external pressure

      • Losing wars destroys the “invincibility” myth.

   4. Economic collapse/legitimacy crash

      • Material failure makes the propaganda harder to swallow.

   5. Information monopoly breaks

      • Samizdat, foreign media, internet leaks, visible contradictions.

   6. Overreach and backlash

      • Purges and extremism often provoke coalition resistance.

   7. Resource and ecological constraints (yes, this matters)

      • Societies under stress from shocks (food/energy, disasters) become more authoritarian-prone, but those same constraints also raise governing costs and accelerate regime failure when promises outstrip reality.

 

Trump-by-era: cult-like signals (pre-presidency vs 1st term vs 2nd term)

Before presidency (separate bucket)

These are precursors rather than “cult governance,” but they matter:

• • • Brand-based charismatic authority (the infallible winner persona).

    • Enemy narratives and conspiratorial insinuation as identity glue (e.g., birther-era politics).

    • Dominance + loyalty framing as a repeated interpersonal pattern.

 

First presidency (2017–2021): the cult mechanics become political

High-signal examples:

• • • Explicit loyalty expectation from key independence-critical roles.

    • Systematic delegitimization of media as “enemy,” training followers to reject external correction.

    • Normalization of “alternative facts” style messaging, i.e., privileging loyalty-consistent narratives over falsifiable reality.

    • Election-fraud mythology escalating into institutional pressure and mass mobilization, extensively documented in official reporting and legal filings.

 

Second presidency (2025–present): “cult-like” gets upgraded by state capacity

This is where Singer’s “environment control” becomes especially relevant.

Documented second-term developments that map onto BITE/Singer dynamics:

• • • Civil service politicization pathways (Schedule Policy/Career) expanding the ability to remove “policy-influencing” career staff and weaken independent protections.

    • Retaliation/retribution posture described as a governing through-line, including pressure for investigations of perceived enemies.

    • Escalating pressure on media ecosystems (lawsuits, access restriction patterns, broader press-freedom concerns reported by watchdogs and journalism institutions).

    • Rhetoric about “taking over” or “nationalizing” voting, colliding with constitutional election administration norms, and generating alarm in coverage.

If you’re looking for the “cabinet as cult” angle: the key indicator is selection by loyalty and personal fealty, plus use of agencies as enforcement arms against dissent. Reporting around DOJ pressure and institutional watchdog weakening points in that direction.

 

Percentage estimate: is Trump acting like a potentially dangerous cult leader

Percentages here are inherently judgment calls, not lab measurements. But we can still be disciplined.

1) “Is Trump acting like a potentially dangerous cult leader?”

~75% (range 65–85%).

Why that high:

• • • Strong alignment with BITE dynamics (especially information + emotional control) and repeated loyalty/dissent-punishment patterns.

What keeps it from 95%:

• • • The movement is large, heterogeneous, and not fully enclosed (many supporters are transactional/issue-driven, not identity-totalized).

    • “Cult” language can be partly metaphorical: modern mass politics often uses persuasion tech without being a classic cult compound.

 

2) “Is he forming a potentially dangerous cult at the highest levels of the US government?”

~60% (range 45–75%).

Why:

• • • Because state power can operationalize coercion: staffing rules, investigations, enforcement discretion, and administrative retaliation can approximate Singer’s “control ecosystem and environment” and “fear/dependency.”

Why not higher:

• • • Courts, federalism, elections infrastructure, civil society, and parts of the bureaucracy still resist. A “total system” is harder to build in the US than in classic personality-cult regimes.

Counterargument check 

Sound objections

• • • “Cult” can be a heat word that makes persuasion worse by triggering defensiveness and identity hardening.

    • Some behaviors described by Hassan/Singer overlap with authoritarian populism and propaganda politics without requiring “mind control” as the dominant explanatory mechanism.

    • A big chunk of Trump support can be explained by coalitional incentives (courts, taxes, immigration preferences, cultural backlash, partisan sorting) rather than cultic psychology.

The reply to those objections is: you don’t have to claim everything is mind control to still recognize cult-like control patterns that increase democratic risk.

 

If it’s a danger, what’s the solution?

Not “deprogram everyone,” because humans do not work like malfunctioning printers.

1) Personal-level countermeasures (what actually works on believers)

Hassan’s consistent advice is: don’t attack identity, build trust, ask questions, widen information diet, and don’t lead with “you’re in a cult.”
Practical version:

• • • Reduce the humiliation costs of updating beliefs.

    • Use curiosity and specifics (“what evidence would change your mind?”).

    • Encourage cross-cutting relationships (social escape hatches).

2) Information-system hardening

• • • Protect press freedom and independent journalism; resist intimidation-by-lawsuit dynamics.

    • Teach influence literacy (BITE-style education) as civic education, not partisan messaging.

3) Institutional safeguards (the highest leverage)

These are boring, which is how you know they’re important:

• • • Civil service independence protections, whistleblower protection, and independent appeal channels (because “loyalty purges” are how cult-like governance becomes permanent).

    • Bright-line norms and laws around DOJ independence, inspector general authority, and retaliation constraints.

    • Election administration federalism integrity: resist unconstitutional federal takeovers of vote counting; litigation and oversight are the lawful route here.

    • Cross-partisan “pro-democracy” coalitions that defend process rules even when they dislike outcomes (rare, but not extinct).

4) Social-pressure release valves

Political cults feed on humiliation + grievance. De-escalation requires:

• • • Legitimate economic and social stabilization policies (yes, this is “political,” but it’s also preventing radicalization fuel).

    • Local community rebuilding: more weak ties, fewer algorithmic rage loops.

Please note that other tangent research was done, considering other Trump-related factors, but is not included here.

 

C. Much More about the relative risk levels that the Trump administration will try to interfere with, delay, or cancel the 2026 or the 2028 US elections?

 

1) Is the U.S. experiencing a dangerous weakening of institutional stability and counteractions that could counter the Trump Administration's actions to delegitimize the 2026 and 2028 elections?

Why the answer can reasonably be “yes.”

A. Politicizing the civil service (classic backsliding lever)

• • • The administration has created/implemented “Schedule Policy/Career” as the successor to Schedule F, aimed at making it easier to discipline/fire tens of thousands of policy-influencing career roles.
      This is exactly the kind of mechanism that converts a professional bureaucracy into a loyalty-sensitive bureaucracy.

B. Weakening oversight (removing the referees)

• • • Trump fired a large set of inspectors general early in the term; a federal judge later ruled the firings unlawful for violating the statutory notice requirement, even while declining reinstatement.
      Whether or not you like any given IG, reducing independent watchdog capacity is a direct hit to institutional self-correction.

C. Executive pressure toward federalizing election administration

• • • The March 25, 2025 election executive order attempted major changes (including proof-of-citizenship requirements via the EAC). Multiple key provisions have been permanently blocked by federal courts for exceeding presidential authority.
      The important signal is not that courts blocked it (good), but that the attempt happened at all (concerning).

D. Escalating rhetoric about “nationalizing” or “taking over” voting

• • • Reuters and other outlets report Trump urging Republicans to “nationalize” voting / “take over the voting” in places, plus White House messaging that it has “no formal plans” to deploy ICE at polling sites but not fully ruling it out.
      Even if nothing happens operationally, the intimidation/legitimacy effect is real.

E. Demonstrated willingness to federalize National Guard deployments domestically

• • • There have been major legal and political fights over Trump’s domestic National Guard deployments (including cases involving California).

    • That makes “Guard as domestic governance tool” more thinkable than it should be in a healthy democracy.

Why the answer is not “we’re already finished.”

A. Courts are still functioning as brakes

• • • Key election EO provisions were blocked permanently by judges explicitly stating the president lacks authority to unilaterally alter federal election procedures.

B. The U.S. system is decentralized

• • • Elections are administered by states and localities, and the president does not have unilateral legal power to “cancel” a presidential election.

C. Resistance exists across institutions

• • • Some Republican leadership has reportedly resisted federal takeover ideas (even while tolerating plenty else).

So: dangerous weakening is a reasonable characterization, and also the U.S. still has meaningful counterforces. That “both-and” is exactly what makes this period volatile.

 

2) The probability that the Trump administration will try to delegitimize the 2026/2028 elections if the outcomes aren’t favorable

 

2026 midterms (House/Senate)

Probabilities:

• • • High-intensity delegitimizing rhetoric if results are unfavorable: 70–85%
      (This is already seeded by “nationalize voting” talk and repeated fraud framing.)

    • Aggressive federal pressure moves (investigations, demands for voter data, etc.) aimed at reinforcing the narrative: 30–50%
      (We’ve already seen the administration push the envelope through EO attempts; courts are blocking parts, but pressure tactics don’t require winning in court to poison legitimacy.)

    • Efforts to create intimidation “chill” near polling (e.g., ICE presence near sites): 10–25%
      White House says “no formal plans” but didn’t rule out proximity.

2028 presidential election

Probabilities:

• • • High-intensity delegitimizing rhetoric if unfavorable: 75–90%
      Same pattern incentives, higher stakes.

    • Aggressive federal pressure moves: 35–55%

    • Broad effort to contest certification/use procedural disruption: 25–45%
      (Not “succeed,” but “try hard enough to destabilize.”)

Counterpoint (because reality is not your personal doom novel): courts and states can still blunt a lot of this, and there’s political cost to overtly anti-democratic maneuvers. That said, the attempts can still do damage.

 

3) “National Guard + nationalize/delay/call off elections”: what’s plausible, what’s legally blocked, and probabilities

First, the hard constraint

• • • A president cannot simply cancel the presidential election, and terms still end on schedule.
      So “call off 2028” is not a lawful option.

But authoritarians don’t need lawful options to cause harm. They need disruption, fear, and uncertainty.

 

The legal tools that exist (and their limits)

• • • Insurrection Act / domestic deployment authorities can be used to deploy troops domestically under certain conditions.

    • There are also statutes used to federalize the Guard (and we’ve seen litigation around such deployments).

    • None of this is a clean legal pathway to cancel elections. At most, it can create a coercive environment or respond to unrest.

The “excuses” (pretexts) historically used to justify extraordinary domestic deployments

I’m listing these as risk categories, not a “how-to kit,” because the country does not need a DIY authoritarian manual.

 

 

Possible pretexts (in descending plausibility as claimed justification):

1. 1. 1. Widespread civil unrest/riots/“breakdown of order” around election periods.

      2. Credible terrorism threat tied to election infrastructure or mass gatherings.

      3. Major cyber incident framed as compromising election systems (even if impacts are localized/containable).

      4. Foreign interference crisis framed as an emergency.

      5. Public health emergency (less politically likely now, but a classic lever).

      6. Natural disaster (real disasters happen; the danger is opportunistic politicization).

Probability guesstimates: “call out the Guard” vs “delay/cancel elections”

Calling out/federalizing the National Guard in election-adjacent unrest

• • 2026: 15–30%

  • 2028: 20–35%
    This is higher than it “should” be, mainly because domestic Guard deployment has already become litigated and normalized in this term.

Attempting to delay elections nationally (not just talking)

• • • 2026: 2–5%

    • 2028: 2–6%

• The legal barriers are very high, but “attempt” can mean “float it,” “pressure,” “lawsuit spam,” “emergency narrative,” etc. Trump has publicly flirted with the idea of canceling 2026 and then walked it back.

Actually succeeding in canceling/indefinitely postponing national federal elections

• • • 2026: <1%

    • 2028: <1%

• Not because leaders are angels, but because the constitutional and federal statutory structure makes it extremely hard to pull off without a true constitutional crisis across multiple institutions at once.

 

What this adds up to

Will elections remain meaningfully free, fair, and widely accepted as legitimate?

On that question, the risk is materially higher than in most of recent U.S. history because:

• • institutional checks are being weakened (IGs, civil service protections),

  • executive election control has been attempted (even if blocked),

  • and the White House orbit is openly entertaining “nationalize voting” rhetoric and intimidation-adjacent ideas.

That combination is the real danger: not one coup switch, but gradual referee capture + intimidation vibes + legitimacy sabotage.

 

 

D. The established economic principles and system vuleralibilities that dependably link political turmoil or a political crisis to significant to severe financial market instability or collapse. (In priority order.)

These are the key criteria we used in evaluating risk to the US and global financial stability when all of the above political risks were considered.

1. 1. Risk premium and discount-rate repricing (uncertainty shock)
      Political crisis raises required returns (equity risk premium, credit spreads, term premium). That mechanically pushes asset prices down even if cashflows do not change.

   2. Policy uncertainty → real-economy slowdown
      When firms cannot price taxes, regulation, enforcement, or trade rules, they delay capex and hiring. That hits equities (earnings), credit (defaults), and commodities (demand). The Economic Policy Uncertainty literature finds higher policy uncertainty is associated with higher volatility and lower investment/employment.

   3. Liquidity and funding fragility (the “plumbing” problem)
      Crises stress repo, margin, and short-term funding. Forced deleveraging creates “fire sales” that become self-feeding. The Financial Stability Board has been flagging vulnerabilities in the government bond–backed repo ecosystem, including leverage and reliance on short-term funding.

   4. The financial accelerator (credit spreads amplify downturns)
      Widening spreads and tighter lending reduce investment and demand, which worsens balance sheets, which tightens credit further. That’s why “it’s just volatility” sometimes turns into recession.

   5. Safe-haven flows (and the dangerous case where the haven itself is questioned)
      “Normal” crisis pattern: risk-off into USD and Treasuries, out of equities and high yield. But if the political crisis undermines institutional credibility, the US safe-haven premium can shrink, lifting borrowing costs across the economy.

   6. Sovereign risk and fiscal dominance dynamics
      High and rising debt makes markets more sensitive to political dysfunction because investors start pricing a feedback loop: higher risk premium → higher interest expense → worse fiscal outlook → higher risk premium.

   7. Central bank credibility and inflation expectations
      If political conflict threatens central-bank independence or pushes erratic fiscal policy, inflation expectations and the term premium can rise, pressuring both stocks (valuation hit) and bonds (yields up).

   8. Commodity channels: demand shock vs supply shock
      Political crisis can be deflationary (demand collapse) or inflationary (sanctions, conflict, trade disruptions). That’s why oil can spike in one crisis and crash in another.

   9. Global spillovers via dollar funding and cross-border financial conditions
      Dollar funding stress transmits quickly through global banks and borrowers; global financial conditions are tightly linked and increasingly multi-directional.

   10. Reflexivity and coordination failures (narratives can become fundamentals)
       When everyone believes everyone else will panic, they front-run the panic. Markets are basically a high-speed gossip engine with leverage.

The above are the economic signals to track and watch closly to see if they are cascading into each other or triggering each other leading to severe financial market reactions, corrections, or a full blown panic. Some of these are interdependent and interconnected in feedback loops and some will trigger other system vulnerabilities in non-linear reactions because the US and global financial systems are perfect examples of complex adaptive systems with all of the aspects and vulnerabilities common in complex adaptive systems. (We strongly recommend carefully studying complex adaptive systems to understand how fast these types of systems can collapse from accumulating stressors.)

 

D. The “fanaticism” risk amplifier (what changes vs normal politics when politicians face criminal charges or jail, and may also be manifesting dangerous cult behavior)

Research on devoted actors (Atran, Ginges, colleagues) finds that when people are identity-fused to a group and committed to sacred values, they become more willing to make costly sacrifices and less responsive to normal cost–benefit deterrents.

Layer on classic escalation of commitment: once status, reputation, and personal fate are tied to a course of action, groups tend to double down even when the strategy is failing.

 

1) “If we lose, we may go to jail.” That turns ordinary power retention into existential power retention. It pushes behavior from “sharp elbows” toward “burn the rulebook.”

And in a high-control / cult-like dynamic (Hassan/Singer), you also get:

• • • Information insulation + emotional control (BITE-style dynamics that produce reality bubbles and moralized conflict).

    • Institutional environment control when the movement holds state power (staffing, oversight, suppression, retaliation incentives), which Singer’s framework treats as a major enabler of coercive systems.

2) What’s different in 2026–2028 vs the earlier “first-term-only” risk picture

The cult/fanaticism factor matters more when it can be operationalized through the state:

• • • Weakened internal constraints/oversight: Reuters reports major disruption to DOJ’s Public Integrity apparatus and describes a second-term “retribution” pattern as a governing theme.

    • Watchdog removals and litigation: Trump’s firing of inspectors general and ensuing legal battles are documented; courts have found likely illegality in at least some cases while not reinstating.

    • Civil service loyalty leverage: the White House EO/OPM implementation around “Schedule Policy/Career” expands tools to remove or pressure “policy-influencing” staff, with fresh OPM guidance released Feb 2026.

    • Explicit rhetoric about election control: Reuters reported Trump urging Republicans to “nationalize” voting in multiple places.

Those are not proof of an election being stolen. They are risk infrastructure for attempts, intimidation, and institutional stress.

 

3) An Updated probability for 2026 and 2028  election interference (with the “fanaticism cult behavior premium added”)

Definitions

• • Level 1: Significant interference attempt and/or material disruption

    • e.g., coordinated delegitimization + legal harassment + administrative pressure + localized intimidation sufficient to affect operations/turnout in key areas.

  • Level 2: Certification / constitutional crisis

    • e.g., multi-state disputes, refusal-to-certify cascades, federal intervention attempts, or a prolonged legitimacy standoff.

  • Level 3: Undemocratic outcome

    • outcome altered or lawful seating/transfer blocked long enough to functionally negate voters’ result.

My updated estimates (with ranges)

 

What changed vs “normal rational-actor politics” assumptions?
The fanaticism + legal-jeopardy factor adds a premium roughly like:

• • +8–12 points to Level 1 (more attempts and operational disruption because deterrence works worse on devoted actors).

  • +10–15 points to Level 2 in 2028 (higher stakes, winner-take-all, more incentive to force a constitutional showdown).

  • +4–7 points to Level 3 (success remains hard in the U.S. system, but attempts become more aggressive and persistent).

 

Why 2028 is sharply worse than 2026

Midterms are fragmented. A presidential contest is a single gigantic target with maximal personal stakes. If the movement’s identity and legal safety are fused to winning, the incentives to contest, delegitimize, and pressure institutions spike.

 

4) Where “devoted actor” dynamics most likely bite in elections

These are the highest-probability pathways (not a conspiracy map, just boring incentive mechanics):

1. 1. 1. Administrative capture/intimidation of election administration

         • Pressure on officials, investigations, seizures/raids, threats, or chilling effects.

      2. Legal warfare + procedural sabotage

         • Flooding courts and agencies to create delay, confusion, and selective disenfranchisement.

      3. Information war designed to pre-validate rejection of outcomes

         • “We only lose if it’s rigged” priming reduces the social cost of breaking norms.

      4. Certification choke points

         • The system has specific bottlenecks where a small number of actors can create outsized chaos.

The cult-like element matters because it increases discipline, obedience, and risk tolerance, and decreases responsiveness to reputational damage or legal warnings.

 

5) Countermeasures that actually reduce risk

This is the part where humans beg for a magic spell and get “institution design” instead.

A) Harden the guardrails (highest leverage)

• • • Protect independent oversight (inspectors general, whistleblowers, DOJ independence norms) and litigate illegal removals aggressively.

    • Civil service constraint defenses: transparency, documentation requirements, and rapid legal challenge capacity around politicized reclassification and retaliatory firings.

    • Election administration resilience: funding, physical security, chain-of-custody standards, rapid response to harassment, and cross-state professional networks.

B) Pre-commit to lawful certification pathways

• • • Build bipartisan (or at least cross-faction) public commitments to certification rules now, before anyone knows who benefits.

C) Defang intimidation with enforcement that doesn’t become partisan policing

• • • Clear, narrowly tailored enforcement against threats and interference, with transparent standards and independent oversight to reduce “weaponization” narratives.

D) Messaging discipline (because “cult!” can backfire)

Calling it a cult may be accurate descriptively, but it often strengthens identity-fusion in the target group. Use “rule of law,” “fair elections,” “constitutional process,” and concrete abuses with receipts. Hassan-style approaches also emphasize avoiding identity attack when persuading followers.

 

E. Traditional economic principles and system vulnerabilities that can signify a financial crisis or potential collapse in A. The US financial institutions or B. global financial institutions

A. The US economic crisis/depression/collapse risks 

How probabilities are framed: There is a chance that the listed drivers (major risks to the financial systems below) become primary or, at a minimum, significant contributors to a major US crisis (severe recession with systemic stress) or a depression-like episode within 10 years (to 2035). These financial risks stand alone and have not had the other financial risks listed on this page added to them, other than these current climate risks.)

 

1) Treasury market dysfunction + repo stress + forced deleveraging (liquidity spiral)

• • • • Why it moves up with the new climate change timetable: repeated climate-disaster costs and supply shocks increase issuance needs and volatility; volatility is the accelerant for repo haircuts + forced selling.

      • 10y probability: 35%

      • Most likely window: 2026–2030, with spike risk anytime volatility jumps; rises again 2031–2035 as climate-linked fiscal/insurance shocks compound.

      • Climate linkage: as early as 2027–2030, we’re in the Universe Institute’s ~2°C window.

2) Fiscal credibility/debt-service shock (term premium jump, “buyers strike” dynamics)

• • • • Climate linkage: disaster spending + infrastructure repair + insurance retreat + slower growth pressure debt dynamics earlier.

      • 10y probability: 30%

      • Window: 2027–2035 (snaps during a stress event, not gradually on a calendar)

3) CRE + regional-bank stress → credit contraction (slow burn that can flip fast)

• • • • Climate linkage: property risk repricing (flood/fire/heat) and insurance availability can hit collateral values and municipal finances, feeding back into local banks.

      • 10y probability: 28%

      • Window: 2026–2029 for concentrated failures; 2026–2032 for drag

4) Insurance retreat + municipal finance stress → banking/fund losses (NEW as a top-tier driver)

• • • • Why it’s now “major”: At/near ~2°C (2027–2030 in the newest climate table), the Universe Institute expects widening tipping/feedback impacts; regardless of whether you accept every climate claim, insurance withdrawal and repricing is an obvious financial transmission channel.

      • 10y probability: 26%

      • Window: 2026–2032 (growing nonlinearly after repeated disasters)

5) Shadow-banking run (fund liquidity mismatch, private credit strain, margin spirals)

• • • • Climate linkage: more frequent correlated losses raise redemption/margin episodes and reduce “risk-free” assumptions.

      • 10y probability: 25%

      • Window: 2026–2032

6) Systemic cyberattack/infrastructure outage hitting payments/settlement

• • • • Climate linkage: disasters stress infrastructure; attackers love distracted, degraded systems.

      • 10y probability: 23%

        • Window: 2026–2035

7) Food/energy inflation shock → policy whiplash → defaults (NEW as a direct US macro-financial trigger)

• • • • Climate linkage: the Institute’s tipping/feedback framing at 2–3°C explicitly emphasizes multi-system disruption risk.

      • 10y probability: 22%

      • Window: 2026–2032

8) Political self-inflicted funding crisis (debt ceiling/legitimacy fracture)

• • • • Climate linkage: crisis frequency increases political volatility and zero-sum behavior.

      • 10y probability: 20%

      • Window: 2026–2030 (because humans)

9) High frequency trading HFT / market-structure amplification (liquidity mirage in fast markets)

• • • • Climate linkage: more volatility episodes = more “air pocket” days.

      • 10y probability: 15%

      • Window: Anytime, highest when rates/credit are already stressed

10) Crypto/stablecoin spillover into real funding markets

• • • • Climate linkage: mostly indirect (risk-off + run dynamics), but still nonzero.

      • 10y probability: 12%

      • Window: 2026–2031

US climate-threshold timing overlay (Universe Institute)

To keep solution timing honest, use these temperature gates as “risk multipliers”:

• • • ~2°C: 2027 (high) / 2028 (medium) / 2030 (low)

    • ~3°C: 2032 (high) / 2035 (medium) / 2044 (low)

As you cross these, expect more correlated shocks (disasters + food + insurance + migration/politics), which mechanically increases the likelihood that an otherwise-manageable financial stress becomes a cascade.

 

World economic crisis/depression/collapse risks 

How probabilities are framed: There is a chance that the listed drivers (major risks to the global financial systems below) become primary or, at a minimum, significant contributors to a major global financial crisis (severe recession with systemic stress) or a depression-like episode within 10 years (to 2035). These drivers could also become a primary contributor to severe multi-region cascades. These financial risks stand alone and have not had the other financial risks listed on this page added to them, other than these current climate risks.)

 

Developed economies (US/Canada/Europe/UK/Japan/Australia/NZ/etc.)

1) Core sovereign bond stress + nonbank leverage unwind

• • • • 10y probability: 32%

      • Window: 2026–2031 (repeats in bursts)

2) Trade fragmentation + supply-chain weaponization → stagflationary shocks

• • • • Climate interaction: climate shocks raise food/energy volatility, making trade shocks more inflationary and politically destabilizing.

      • 10y probability: 26%

      • Window: 2026–2032

3) NBFI run (fund liquidity mismatch, private credit stress)

• • • • 10y probability: 25%

      • Window: 2026–2032

4) Climate-linked real-asset repricing + insurance retreat (NEW as a developed-economy systemic channel)

• • • • 10y probability: 24%

      • Window: 2026–2035, with clear acceleration risk as the ~2°C window arrives 2027–2030.

5) Systemic cyber disruption to payments/settlement

• • • • 10y probability: 22%

      • Window: 2026–2035

6) China transition shock spillovers (credit/commodities/confidence)

• • • • 10y probability: 18%

      • Window: 2026–2031

7) Dollar-system funding stress (USD up, basis stress, refinancing pressure)

• • • • 10y probability: 18%

      • Window: 2026–2032

8) High frequency Trading HFT/market-structure amplification

• • • • 10y probability: 14%

      • Window: Anytime

9) Crypto/stablecoin spillover

• • • • 10y probability: 12%

      • Window: 2026–2031

 

Underdeveloped / low-income + lower-middle-income / fragile states

 

1) Sovereign debt distress + rollover walls → serial restructurings/defaults

• • • • Climate interaction: disasters + food shocks weaken fiscal capacity, raise import bills, and elevate political risk.

      • 10y probability: 45%

      • Window: 2026–2032 (very dense risk period)

2) Food/energy shock → inflation + unrest + FX crisis (moves up strongly under the Institute timetable)

• • • • 10y probability: 40%

      • Window: 2026–2032, intensifying as ~2°C arrives 2027–2030.

3) USD/rates shock → EM currency crises → forced austerity → collapse dynamics

• • • • 10y probability: 36%

      • Window: 2026–2032

4) Political instability/conflict spirals (amplified by food, water, migration)

• • • • 10y probability: 30%

      • Window: 2026–2035

5) Climate catastrophe / ecological degradation as a direct macro-financial accelerant

• • • • This is not “climate as vibes.” It’s climate as repeated balance-of-payments, infrastructure-loss, and legitimacy shocks.

      • 10y probability: 28%

      • Window: 2026–2035, rising after ~2°C (2027–2030) and again toward ~3°C in the high/medium paths (2032–2035).

6) Sovereign-bank doom loop (banks heavy in sovereign paper)

• • • • 10y probability: 24%

      • Window: 2026–2032

7) Sudden stop/capital flow reversal

• • • • 10y probability: 22%

      • Window: 2026–2032

8) Crypto-run/fraud accelerant (context-specific)

• • • • 10y probability: 14%

      • Window: 2026–2035

Global climate threshold anchors 

From the Universe Institute table of when temperature thresholds are reached (low/medium/high scenarios linked to 1/2/3% annual fossil fuel growth):

• • • 2.0°C: 2030 / 2028 / 2027

    • 3.0°C: 2044 / 2035 / 2032

    • 4.0°C: 2059 / 2043 / 2037

    • 5.0°C: 2074 / 2050 / 2042

Those are effectively macro-financial regime gates: once you’re at/near ~2°C (their 2027–2030 window), correlated shocks become more common, and more systems fail together, which is how you get cascades rather than localized recessions. 

 

Wild cards / black swans (still rare, still capable of wrecking everything)

• • Great-power war with shipping/energy chokepoint disruption

  • Coordinated cyber-physical attack (power + telecom + finance)

  • Multi-breadbasket failure year (food shock → unrest → defaults → conflict)

  • Domestic constitutional crisis in a major economy (US/EU member)

  • Abrupt loss of confidence in a major clearing/settlement node

  • Sudden commodity embargo/energy supply rupture

  • Pandemic with high systemic labor impairment

If you’re building solution sets, the practical takeaway is brutal: anything that doesn’t materially reduce risk in 2026–2032 is a “nice essay,” not a plan, given the Universe Institute’s ~2°C arrival window. The above are the economic signals to track and watch closly to see if they are cascading into each other or triggering each other leading to severe financial market reactions, corrections, or a full blown panic. Some of these are interdependent and interconnected in feedback loops and some will trigger other system vulnerabilities in non-linear reactions because the US and global financial systems are perfect examples of complex adaptive systems with all of the aspects and vulnerabilities common in complex adaptive systems. (We strongly recommend carefully studying complex adaptive systems to understand how fast these types of systems can collapse from accumulating stressors.)

 

 

F. Traditional economic principles directly linking a political crisis to mild to severe market reactions. (priority order)

These are the key criteria we used in evaluating risk to the US and global financial stability when all of the above risks were considered.

1. 1. Risk premium and discount-rate repricing (uncertainty shock)
      Political crisis raises required returns (equity risk premium, credit spreads, term premium). That mechanically pushes asset prices down even if cashflows do not change.

   2. Policy uncertainty → real-economy slowdown
      When firms cannot price taxes, regulation, enforcement, or trade rules, they delay capex and hiring. That hits equities (earnings), credit (defaults), and commodities (demand). The Economic Policy Uncertainty literature finds higher policy uncertainty is associated with higher volatility and lower investment/employment.

   3. Liquidity and funding fragility (the “plumbing” problem)
      Crises stress repo, margin, and short-term funding. Forced deleveraging creates “fire sales” that become self-feeding. The Financial Stability Board has been flagging vulnerabilities in the government bond–backed repo ecosystem, including leverage and reliance on short-term funding.

   4. The financial accelerator (credit spreads amplify downturns)
      Widening spreads and tighter lending reduce investment and demand, which worsens balance sheets, which tightens credit further. That’s why “it’s just volatility” sometimes turns into recession.

   5. Safe-haven flows (and the dangerous case where the haven itself is questioned)
      “Normal” crisis pattern: risk-off into USD and Treasuries, out of equities and high yield. But if the political crisis undermines institutional credibility, the US safe-haven premium can shrink, lifting borrowing costs across the economy.

   6. Sovereign risk and fiscal dominance dynamics
      High and rising debt makes markets more sensitive to political dysfunction because investors start pricing a feedback loop: higher risk premium → higher interest expense → worse fiscal outlook → higher risk premium.

   7. Central bank credibility and inflation expectations
      If political conflict threatens central-bank independence or pushes erratic fiscal policy, inflation expectations and the term premium can rise, pressuring both stocks (valuation hit) and bonds (yields up).

   8. Commodity channels: demand shock vs supply shock
      A political crisis can be deflationary (demand collapse) or inflationary (sanctions, conflict, trade disruptions). That’s why oil can spike in one crisis and crash in another.

   9. Global spillovers via dollar funding and cross-border financial conditions
      Dollar funding stress transmits quickly through global banks and borrowers; global financial conditions are tightly linked and increasingly multi-directional.

   10. Reflexivity and coordination failures (narratives can become fundamentals)
       When everyone believes everyone else will panic, they front-run the panic. Markets are basically a high-speed gossip engine with leverage.

 

Conclusion

If the Trump administration attempts to interfere with the 2026 and 2028 US elections at any of the three levels discussed above, there is a significant likelihood that these actions could trigger a crisis in US financial markets, which would likely spread to global financial markets. Additionally, the Trump administration remaining in control would continue to have drastic effects on climate change management both in the US and globally as well as similar effects in many other areas.

We invite you to think carefully about the many financial risk levels discussed above and how they might interact and amplify one another. Given possible Trump administration interference in the US election, it is also necessary to carefully consider a rapid cascade in which several of the above financial risks reach tipping points, triggering automatic and automated financial and other responses worldwide. And finally...

Please forward this risk evaluation to state voting protection officials, worldwide banks, investment firms, hedge funds (and other financial funds or interests), and individuals who should have this information to help manage these risks and prevent them from becoming realities. Many people and institutions will lose significant financial assets if the financial risks mentioned above are not well managed by the Trump administration. This risk analysis should be sent to politicians worldwide who have a stake in the 2026 and 2028 US elections and their potential effects on both the US and global financial stability. This risk analysis is not intended for the for-profit new prediction markets.

 

Special Disclaimer: This financial risk policy and action analysis should not be construed in any way as an endorsement of any politician or political party or as a recommendation against any politician or political party. The organizations involved in creating this analysis have or hold no political positions or affiliations. It is simply a risk analysis that individuals and organizations should carefully evaluate and decide for themselves about its usefulness or accuracy.

 

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