How can society make moral progress before bad norms lock in?
Normativity researches and tests institutions for structured moral disagreement, confidence updating,
and voluntary accountable action under moral uncertainty.
Humans alive today may be living at an unusually influential time, with opportunities neither our ancestors nor future people will have.
A million-year model supports three separate claims: long-run stakes can be enormous; today
may be unusually important; and solving moral truth now may or may not dominate other interventions.
The first claim is robust. The second and third are conditional on lock-in, discounting assumptions,
and whether present institutions can shape later irreversible choices.
Practical conclusion: treat this century as potentially pivotal, but keep confidence calibrated.
Build better reflective governance while preserving moral plasticity.
Scenario prior for when the single highest-leverage era might occur. The present can be unusually important
while still leaving substantial probability mass on later centuries.
Empirical stakes in the model
~83B land animals are slaughtered annually.
~78-171B farmed fish and ~1.1-2.2T wild fish are killed annually.
Arthropod numbers are vast; insect-welfare stakes can be large under even modest sentience credence.
If lock-in risk is low or discounting is strong, near-term welfare reforms become relatively more competitive.
Robust priority set across uncertainty: reduce existential and conflict risk, improve long-run governance,
and avoid irreversible value mistakes.
Source model: Impact Timing and Moral Priorities in a Million-Year Human Future.
Timing value usually tracks one year of welfare improvement; it becomes orders of magnitude larger only when that year overlaps
irreversible lock-in risk.
A longterm view
Competing ethical theories can climb toward truth from different sides.
As Derek Parfit suggested, routes differ, intermediate judgments diverge, and local views conflict. Yet sustained reflection can reveal convergence on deeper truths.
Mountain View
Each line is a theory-family trajectory. Motion shows inquiry over time: revising cases, principles, and background commitments while climbing.
Different starting points: welfare, duty, virtue, contract, relation.
Distinct local routes: disagreements persist for long stretches.
Truth pressure: broader coherence pulls views upward.
Website logic now tracks core debates in moral philosophy.
We reviewed the core entries on moral theory, epistemology, disagreement, dilemmas, realism/cognitivism, consequentialism, deontology,
virtue ethics, thought experiments, and reflective equilibrium. Use these links as the conceptual baseline for markets, dialogues, and WRE rounds.
Taking Everyone's Beliefs Seriously Improves Our Chances of Getting
Normative Issues
Correct Earlier, which Has Huge Benefits.
Even if humanity only lasts as long as the typical mammalian species (1 million years), we would only be among the
first 0.5% of humans to ever live. Our actions shape a world that the remaining 99.5% may inherit. If we figure
out that X is wrong 1 year sooner than otherwise, this can immediately save the lives of hundreds of thousands of
people and leave a better world for the remaining 99.5%. The earlier the timeframe, the better it is to make ethical
discoveries. This does not require certainty that we are uniquely pivotal; it only requires non-trivial chances of
lock-in windows and very long-run effects.
Why should I care about future people and whether they will exist?
If you care about the welfare of other living people
because their welfare matters: future people's welfare matters just as much.
because they can experience pain and suffering: future people are similarly able to experience pain and suffering.
because it is good that a person lives a good life: if future people can't exist, they lose out on living lives potentially as good as yours.
Why should I care about other people?
If you care about your future self
because I care about myself: consider that you largely don't remember who you were at 3 years-old. Similarly,
suppose that you are 40 years old today. When you become 80 years old, you would likely be very different and not
psychologically connected to who you are today. It is highly contested whether you are the same person as you were when
you were 15 and whether you will be the same person as you today are. By caring about your future yourself, you are caring
for another person.
If you care about your current self
because I care about myself: consider the possibility that, if we all cared only for ourselves, each of us would end up worse off.
because I matter: the reasons why you matter are likely to indicate that other people (and, many moral
philosophers believe, some animals') similarly matter, in many cases just as much as you do.
If you care about the amount of goodness in the world, other people have the potential to live good lives.
How does spending time to think about those philosophical issues benefit the world? What further contributions could I make beyond that of philosophers, who think about those issues for a living?
If philosophers were overall more reliable than other researchers, what would we expect to see? Two things:
(a) We'd expect to see philosophers making faster progress than others. (b) We'd expect to see more agreement in
philosophy than in other fields.
Obviously, these predictions are the opposite of the truth. So while philosophers may be better thinkers than others
in some respects, there is no reason to think philosophers are better at getting to the truth.
Unlike in the sciences and mathematics, you possess the exact same data as philosophers—intuitions about the world.
If you think carefully and persistently about philosophical problems, there is a non-trivial chance that you would come
up an idea that would contribute to humanity's current understanding of the world. This chance is significantly higher
than the chance of anyone making a contribution in the sciences or math that would have an equal benefit to the world.
Longterm Welfare
Equal progress in all domains can move welfare forward and extinction forward at the same time.
Equal progress in all domains doesn't increase total human welfare. It causes humans to enjoy higher welfare sooner,
but it also causes humans to develop dangerous technology sooner: human-made pandemics, power-seeking AI, and
increasingly destructive weapons.
If progress remains equally accelerated across all domains, then humanity also reaches existential catastrophe sooner.
In the simple case where every domain is accelerated by 1 year, humanity goes extinct 1 year sooner as well. The gain is
one earlier year of welfare; the loss is one entire later year of welfare at roughly the quality of life humanity would
otherwise have had in 2026.
Adapted from Toby Ord, On the Value of Advancing Progress.
Equal acceleration shifts both good years and dangerous years earlier. If extinction also comes earlier,
total welfare need not increase.
Differential Progress
What increases total human welfare instead is differential progress.
Differential progress means accelerating some domains of progress so that they arrive earlier than progress in
other domains. The aim is to get norms, institutions, and moral understanding ahead of capabilities that make
catastrophic mistakes easier.
By developing social norms and institutions that regulate the development of future technologies, progress in
technology becomes less dangerous. This is why ethical discovery, metaethical clarity, state capacity, and
international coordination matter instrumentally as well as intrinsically.
We have already discovered many low-hanging-fruit ethical truths. Most people in history did not consider slavery
wrong. The remaining work is harder: discovering ethical and metaethical truths that are more difficult to see,
but that may matter even more for shaping advanced civilization well.
The goal is not to stop progress across the board. It is to bring moral understanding and institutional restraint
forward relative to dangerous capability growth.
Wide reflective equilibrium starts from considered moral judgments, introduces candidate principles, checks both
against background theories and relevant non-moral facts, and revises any part when conflict appears.
Reflective Equilibrium in its pure form is nearly impossible for an individual, but almost possible for collective deliberation.
1) Start with judgments: Use relatively confident case judgments as provisional fixed points.
2) Propose principles: Build candidate rules that explain and systematize those judgments.
3) Go wide: Test fit with background theories, empirical constraints, and new cases.
4) Revise iteratively: Adjust judgments, principles, or background assumptions until coherence improves.
Animation informed by reflective-equilibrium research (Reflective Equilibrium), Rawls, Daniels, Scanlon, and recent directed reflective equilibrium work.
If you will not be able to attend the session, please unregister in advance to free up the spot for another person.
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Current Reservations
Opposing beliefs and overlapping times drive matching.
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Deliberation commitments
One-on-one deliberation with auditable action thresholds
Use this when a truth-apt proposition has a concrete implication profile: if your own sealed post-session credence ends above 50%, you may create a bounded, proof-tracked commitment.
Browse commitment dialogues below. Opt in to create, reserve, and log bounded commitments.
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Your Commitment Dialogues
Only eligible participants with the opposite belief can be matched.
Reserve and Match
Commitment dialogues require both participants to meet the factual condition and accept the same trigger preview. Matching still prioritizes shared time, opposite beliefs, and the smallest confidence gap.
Reservations are filtered to participants who attest that they meet the facts.
Suggested Commitment Matches
Select a commitment dialogue to generate suggested matches.
Log The Sealed Outcome
Interactive Lab
Reflective Equilibrium Lab
This embedded page runs the standalone reflective equilibrium simulator with editable sentence pools,
account/systematicity/faithfulness weights, and iterative theory/commitment revision.
Use this to test wide vs narrow modes, inspect path-dependent convergence behavior, and export iteration history as JSON.
Discuss your deepest moral convictions, then live by what you genuinely believe.
Normativity pairs people with opposing views, asks both sides to update their confidence honestly, and lets participants
create bounded follow-through plans when their own considered confidence crosses a chosen threshold.
History Shows Progress, But Harder Questions Remain
In the 19th century, slavery was treated as normal by many institutions and social orders. People in the 21st century
now judge that as deeply wrong. Future generations may similarly judge some of our current practices.
The remaining problems are often harder to resolve. This model treats mutual deliberation as the main force that keeps
moral progress moving even as difficulty rises.
19th century
Widespread slavery is normalized in many societies.
21st century
Slavery is condemned, yet some harms may still be normalized.
22nd century and beyond
Future citizens may judge our era as morally incomplete.
Moral Learning Over Time
Year 1850
Moral norms around slavery are still widely unjust.
Moral adequacy0%
Difficulty pressure0%
Deliberation lift0 pts
700,0001: Even if humans only survive as long as a typical mammalian species (1 million years).
See MacAskill, What We Owe the Future, 23.
Comparative Progress
Mathematics vs Non-religious Ethics Across History
Both domains improve through argument and critique. But mathematical questions often become tractable faster,
while non-religious ethical questions remain entangled with social interests, plural values, and contested tradeoffs.
Year 1800
Mathematics
0%
Formal proof standards are strengthening, but many foundations are still unsettled.
Non-religious Ethics
0%
Public moral reasoning exists, but norms are still deeply constrained by power and inherited practice.
Progress gap0 pts
Relative to mathematics, ethical convergence remains slower and more fragile.
Core Mechanism
Voluntary Accountability Under Moral Uncertainty
What is measured
After each dialogue, each participant reports how confident they are that the discussed claim is true.
Participant threshold
If your confidence is 51% or higher, you may choose to create a bounded follow-through plan.
Bounded response
The protocol records scope, duration, privacy level, proof cadence, and off-ramps for coercion, ambiguity, impossibility, or changed evidence.
Pairing Logic
How Matching Works
1) Shared time slots
We only suggest matches when both participants have overlapping 30-minute availability windows.
2) Opposite beliefs
We then require that participants currently disagree about whether the proposition is true.
3) Closest confidence levels
Among opposing participants with shared time slots, we prefer the smallest confidence-gap to maximize productive exchange.
4) Method-informed tie-breakers
If confidence gaps are similar, we prioritize pairs with better disagreement-depth signals (case, principle, background theory) and clearer reasons.
Every activated commitment appears here as a bounded 12-month record. Monthly proof uploads are paired with review paths for coercion, ambiguity, fraud, impossibility, or prospective revocation.
Reviewer Console
Commitment Review
Discussion Norms
How To Use The Platform Well
Steelman First
State your participant's strongest case before criticizing it.
Update Publicly
Say what changed in your confidence and why, even when uncomfortable.
No Strategic Posturing
Confidence reporting is for sincere belief, not social signaling or point-scoring.