Most political arguments feel impossible because people jump straight to positions:
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“Build the road.”
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“Don’t build the road.”
Positions are where people collide.
Compromise starts earlier—by mapping the reasoning that leads to those positions.
The ISE is the first system that makes compromise systematic, not emotional. It does this by organizing every part of the debate:
And then asking one simple question:
“What solutions satisfy the valid concerns of each side at the lowest cost?”
1. Step One: List Out the Valid Concerns on All Sides
The ISE begins all compromise discussions by mapping the real concerns, not the slogans.
For a road-building example:
Side A (Pro-road)
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Faster travel time
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Reduced congestion
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Economic growth
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Better access to jobs
Side B (Anti-road)
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Cost to taxpayers
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Environmental damage
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Traffic near neighborhoods
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Noise, pollution, safety issues
These are all valid concerns, grounded in human needs:
The ISE lists these separately on the belief page under Interests & Motivations and Cost-Benefit Analysis.
This alone reduces 80% of conflict, because it reframes the debate as:
“What does everyone actually care about?”
instead of
“Who is right?”
2. Step Two: Score the Reasons to Agree and Disagree
Every argument—on every side—is entered into the ISE and scored using:
This sorts arguments into:
Strong reasons (good evidence, clearly relevant)
Weak reasons (bad evidence, low relevance)
This matters for compromise because you want to satisfy:
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the strong, evidence-based concerns
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not the weak, emotional outbursts
This clarifies what any real compromise must take into account.
3. Step Three: Do the Formal Cost-Benefit Analysis
This is where the ISE shines, because you use actual numbers, not vibes.
For a road:
The math is boring and beautiful:
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10 minutes/day × 20,000 people = 3,333 hours saved per day
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3,333 hours × $25 = $83,333/day of value
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Payback period = 600 days (~2 years)
If the road causes environmental harm, you quantify that too using the ISE’s Expected Value method.
It’s not magic.
It’s just honest cost-benefit math.
This tells you which concerns are weighty and which concerns don’t move the scale.
4. Step Four: Brainstorm All Possible Compromises
Now the system generates every obvious and non-obvious compromise:
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Build the road but include noise barriers
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Build the road but only after environmental remediation
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Build a smaller version
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Build toll lanes so taxpayers aren’t charged
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Build a bike path instead
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Build transit lines instead
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Build nothing but upgrade the existing road
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Build a phased version to measure impact
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Run a pilot program (ISE favorite)
Each compromise is recorded in the Compromise Solutions section of the belief page.
5. Step Five: Score Each Compromise Against Valid Interests
This is the core innovation:
Every compromise is scored on a 0–100 scale based on how well it satisfies:
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Valid safety interests
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Valid financial interests
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Valid environmental interests
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Valid convenience/time interests
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Valid fairness/justice concerns
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Valid local community interests
The ISE simply ignores:
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revenge motivations
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spite motivations
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tribal motivations
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“own the other side” motivations
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irrational fears
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desires to harm opponents
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things that sound noble but have no evidence
This isn’t moralizing—this is filtering.
We are only looking at interests that any reasonable person recognizes as legitimate (as per https://myclob.pbworks.com/w/page/159301140/Interests).
The result?
Some compromises satisfy nearly all valid concerns.
Some satisfy almost none.
The ISE makes that visible.
6. Step Six: Promote the Highest-Scoring Compromises
Because everything in the ISE is structured, the system can sort all proposed solutions by:
The best compromises naturally rise to the top.
You don’t need a referee.
You don’t need a debate moderator.
You don’t need “bipartisan spirit.”
You just need math and transparency.
7. Why the ISE’s Compromise System Works (When Everything Else Fails)
Because it doesn’t try to resolve conflict by forcing agreement.
It resolves conflict by revealing clarity:
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People see the same facts.
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People see the same arguments.
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People see the same costs.
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People see the same values.
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People see the same assumptions.
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People see all valid concerns listed.
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People see how each compromise performs.
And once all the facts are shared and structured?
Compromise stops being a political argument.
It becomes the obvious engineering solution to the problem.
Most of the time, the best compromise is staring us in the face—we just couldn’t see it through the noise.
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