I’m thinking that our experience with President Trump has pointed out areas of our government that require some adjustments, modifications, replacements, fine tuning, …  If we don’t learn from our mistakes, then …

A extreme solution below, was presented by ChatGPT, following my prompting:

https://en.wikipedia.org/wiki/Sortition

“lotocracy” (rule by random selection)

That idea is very real today, but it’s usually used in limited or experimental ways rather than running entire governments.

Here are clear, real-world examples where *lotocracy-style selection* is used today:

Citizens’ Assemblies (most prominent modern use)

These are groups of everyday people **randomly selected** to study and advise on major issues.

– **Ireland Citizens’ Assembly**

– Random citizens helped shape decisions on abortion laws and climate policy

– Their recommendations directly influenced national referendums

– **France Citizens’ Convention on Climate (2019–2020)**

– 150 randomly selected citizens proposed climate laws

– Many proposals were adopted or debated in parliament

– **UK Climate Assembly**

– Randomly chosen citizens reviewed how the UK should reach net-zero emissions

Citizens’ Juries and Panels

Smaller-scale versions used in many countries.

– Used in **Canada, Australia, UK, and the US**

– Citizens are randomly selected to:

– Review policies

– Hear expert testimony

– Make recommendations to governments

Jury Duty (classic lotocracy element)

This is one of the oldest and most widespread examples.

– **Legal juries** in countries like the US, UK, and Canada

– Citizens are randomly selected to decide legal cases

– This is a direct, functioning form of lotocracy in everyday governance

Sortition in Local Government Experiments

Some cities experiment with random selection for advisory roles.

– **Paris**: uses randomly selected citizen panels for urban planning input

– **Madrid**: has experimented with citizen assemblies tied to its “Decide Madrid” platform

– **Belgium (Ostbelgien region)**:

– Permanent citizens’ council partly selected by lot

– One of the most advanced modern uses

Political Theory and Proposals (not fully implemented)

– Some academics and reformers advocate replacing parts of legislatures with randomly selected citizens

– No country currently runs entirely on lotocracy, but hybrid systems are growing

Bottom line

– “Lotocracy” isn’t widely used as a term in everyday language, but the concept is very active

– It shows up most clearly in:

– Citizens’ assemblies

– Juries

– Advisory panels

– These systems are expanding, especially for complex policy issues where public trust matters

…

A fully lotocratic government would look like this in practice—it’s a pretty interesting model…

A fully lotocratic system replaces elections with **random selection (sortition)** for most governing roles. No country runs entirely this way today, but there are well-developed models showing how it could work in practice.

Core Idea

Instead of voting for politicians, **citizens are randomly selected** (like jury duty) to serve in government for limited terms. The goal is to reduce corruption, career politics, biased influence and polarization.

Structure of a Full Lotocratic Government

Legislative Branch (Law-Making)

**Citizens’ Assembly (main legislature)**

– 300–1,000 citizens randomly selected from the population

– Stratified sampling ensures representation (age, gender, region, etc.)

– Terms typically last 6–18 months

– Members are paid and supported like full-time officials

**How it works:**

– Members hear from experts, stakeholders, and advocates

– Deliberate in small groups and plenary sessions

– Vote on laws after structured discussion

Executive Branch (Administration)

**Selected administrators + expert civil service**

– Key roles (ministers, department heads) can be:

– Randomly selected from qualified pools, or

– Appointed by the assembly and subject to oversight

– Day-to-day governance handled by a professional civil service

**Checks:**

– Assembly can remove or replace officials

– Short terms limit power concentration

Judicial Branch (Justice System)

**Combination of professional judges + citizen panels**

– Judges remain trained legal experts

– Citizens continue to serve on juries (expanded role possible)

– Some oversight boards may also be randomly selected

Selection System (How People Are Chosen)

– Random draw from national registry (like tax or census records)

– Stratified to reflect demographics

– Opt-out allowed but limited to prevent bias

– Participants compensated and legally protected

Safeguards and Design Features

– **Rotation:** frequent turnover prevents entrenched elites

– **Transparency:** deliberations often public or recorded

– **Facilitation:** trained moderators keep discussions productive

– **Balanced information:** structured input from multiple viewpoints

– **Ethics rules:** strict limits on lobbying and outside influence

Example Flow of a Law

1. Issue identified (public petition, expert report, or government need)

2. Subgroup of assembly studies the issue

3. Experts and stakeholders present evidence

4. Deliberation in small groups

5. Draft proposal created

6. Full assembly debates and amends

7. Final vote

8. Implementation by executive branch

Strengths

– Reduces influence of money and campaigning

– More representative of the actual population

– Encourages thoughtful, less partisan decisions

– Limits career politicians and power accumulation

Weaknesses / Challenges

– Participants may lack experience initially

– Requires strong facilitation and education systems

– Public trust can be uncertain without elections

– Scaling to large countries is complex

– Risk of low participation if many opt out

Hybrid Models (More Realistic Today)

Most proposals combine lotocracy with elections:

– Elected parliament + randomly selected second chamber

– Citizens’ assemblies with binding or semi-binding power

– Random selection used for oversight, auditing, or constitutional review

Bottom line

A full lotocratic model treats governance like an expanded form of jury duty—**ordinary people temporarily governing with structured support**. While not yet used at national scale, many of its components are already active and expanding, especially in citizens’ assemblies.

…

Modern tech makes lotocracy more *feasible***—but not automatically *safe or trusted*. The hard part isn’t just secure random selection; it’s legitimacy, transparency, and resistance to manipulation across the whole process.

Where technology clearly helps

– **Secure random selection**

– Cryptographic randomness (e.g., verifiable random functions) can produce draws that anyone can audit.

– Public “randomness beacons” (like those used in some blockchains) allow third parties to verify the draw wasn’t rigged.

– **Identity and eligibility**

– Digital ID systems can ensure “one person, one entry,” reduce duplicates, and support stratified sampling (age, region, etc.).

– Cross-checking registries (tax, census) helps maintain an accurate pool.

– **Auditability and transparency**

– Publish the selection algorithm and seeds so independent groups can reproduce the draw.

– Tamper-evident logs (e.g., append-only ledgers) make post-hoc manipulation detectable.

– **Operations at scale**

– Automated notifications, scheduling, and compensation.

– Secure portals for participants, document access, and evidence review.

– **Deliberation support**

– Structured briefing systems, AI-assisted summaries, and translation tools.

– Moderation tools that track speaking time, surface minority views, and reduce domination by a few voices.

Where the analogy to banking breaks down

– **Different threat model**

– Banks defend against theft; a lotocratic system must also resist **political capture**, **subtle biasing**, and **perception of unfairness**.

– Even a tiny suspicion of bias can delegitimize outcomes.

– **Input integrity**

– The biggest risk is not the RNG (Random Number Generator) —it’s **who’s in the pool**. Incomplete or biased registries skew results.

– **Coercion and influence**

– Selected citizens can be pressured, lobbied, or targeted with disinformation. That’s a human-layer risk, not just a systems one.

– **Public trust**

– People must believe the process is fair. “Black-box” tech—even if secure—can undermine confidence.

Design choices that make it more robust

– **Open, verifiable selection**

– Publish code, use public randomness sources, allow anyone to re-run the draw.

– Run multiple independent draws (different organizations) and compare outputs.

– **Stratified sampling with clear quotas**

– Pre-commit to demographic targets and publish how they’re enforced.

– **Independent oversight**

– Multi-party governance (courts, electoral bodies, civil society, academia) supervising each step.

– **Participant protections**

– Legal shields, anonymity where appropriate, compensation, and anti-corruption rules.

– **Hybrid decision-making**

– Pair citizen assemblies with elected bodies or referenda to reinforce legitimacy during early adoption.

– **Deliberation quality controls**

– Balanced expert panels, transparent evidence packs, and trained facilitators.

– AI used as **assistive**, with auditable prompts and outputs, not as a hidden decision-maker.

Role of AI specifically

– **Helpful**

– Summarizing large evidence sets, generating balanced briefs, translation, accessibility.

– Detecting coordination or anomalous influence patterns.

– **Risky**

– Bias in summaries, prompt manipulation, deepfakes, and targeted persuasion campaigns.

– Needs strict governance: logging, model audits, and clear boundaries.

Bottom line

Technology can make a lotocratic system **technically secure, scalable, and auditable**—arguably more so than ever. But success hinges on **transparent design, trusted institutions, and human safeguards**. Think of tech as the backbone, not the guarantee; legitimacy comes from how openly and fairly the whole pipeline is run.

Can we sign you up, and count on your support?