Mockup: https://t.co/jIiu8SU5Fb
Quick note/ apology: I’ve been moving countries to start my PhD and juggling too many plates at once, so I haven’t always kept up with every Discord and forum thread. If I’m duplicating prior ideas or misrepresenting any detail, that’s on me… happy to correct and fold things in. I wanted to take more time for getting into the gov discussion in here, but I guess I am slow, and sanctum moves fast. If I don’t bring this in now, I will be too late.
TL;DR
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Futarchy could be useful as a signal, not as the spine of governance. It can’t deliver legitimacy, fairness, or real causal attribution; it collapses plural values into a single metric and invites manipulation.
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The real missing piece is structured deliberation: agenda → argument map → synthesis → decision → post-mortem. A visible process where reasons are surfaced, challenged, synthesized, and only then voted/ratified.
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Let’s pilot a lightweight Deliberation Layer that plugs into a potential Loyalty Layer so we reward quality contributions, not just trading activity.
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I’m a PhD researcher in political theory/governance; happy to contribute research, facilitation, and the mockup I built. I’m sharing ConvoCity (Sanctum Edition), a lightweight deliberation tool mockup I made in another context and adapted for Sanctum. It rewards quality arguments and evidence, not trading activity.
Why not futarchy at the core?
Markets do not carry legitimacy or attribution on their own. I am actually working on a paper that goes into depth regarding the argument, which I am hoping to share soon. But regarding the ongoing changes, I thought now is the time to already make an entrace. So whats so bad about futarchy?
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Attribution problem (not necessarily a sanctum problem, but a scalability one)
When multiple variables move (macro, Solana flows, product releases, narrative cycles), prediction markets price correlations, not causation. You can end up “crediting” the policy that happened to coincide with a price move. That breeds overfitting and story-time governance. -
Participation bias.
If voice requires trading, you self-select for voices who like risk and mechanics not necessarily those closest to ethics and values of the team. Furthermore, the more token, the more money, Market Maker and wealthy individuals can “capture” the vote. This undermines inclusion and “enlightened understanding,” two basic democratic criteria (Dahl 1989). -
metric capture.
What gets measured gets gamed. Metrics displace judgement. If a market-priced KPI becomes the target, it gets circular. Thin/steerable markets let sophisticated players shape the signal that later justifies their preferred policy: finance is performative, not just reflective (MacKenzie, 2006). -
Legitimacy & contestability
People accept decisions they can contest and understand. That’s a norms question, not a price-discovery question (Habermas 1996; Pettit 2012).
The missing layer: deliberation
In academia, norms like peer review, open critique, and transparent methods push arguments to compete on evidence and reasoning rather than status. Through replication and falsification, weaker claims are discarded and stronger explanations persist, which nudges the community toward provisional consensus. In that sense, letting the better argument win is our best practical engine for getting closer to truth. Legitimacy doesn’t come from price movements; it comes from ideas the people have shaped using reasons, they can inspect and challenge.
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Habermas: legitimacy emerges from open, public reasoning (Habermas 1996).
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Dahl: inclusion + “enlightened understanding” are basic democratic criteria (Dahl 1989).
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Pettit: decisions must be contestable by those affected (Pettit 2012).
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Ostrom: durable collective governance needs clear rules, monitoring, and graduated accountability—i.e., process, not vibes (Ostrom 1990).
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Landemore/Mansbridge: wider participation can raise the epistemic quality of outcomes, if the conversation is structured.
Right now, crypto is under-tooled for that layer. Sanctum can lead by making decisions based on the merit of the better argument, build together by the community.
What the Deliberation Layer should look like
A thin protocol + product that turns discussion into decisions:
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Agenda & scoping.
- Standard proposal template: problem → constraints → options → risks → success metrics.
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Argument maps.
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Pro/Con trees with evidence links.
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Lightweight tagging (risk class, stakeholder impact, time horizon).
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Reasoned summaries.
- An AI delivers a summary of the arguments and discussion
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Decision stage (vote/ratify).
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Bring in advisory signals (mix between community karma and token wheighed voting) alongside the arguments.
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Record the decision with rationale + expected KPIs.
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Post-mortem & learning.
- After the timebox, compare expected vs. actual; update playbooks.
Recognition: Plug this into the Loyalty Layer so contributors earn credit for useful work; clear arguments, good evidence, high-quality synthesis - not just for holding or trading. While at the same time having an opportunity to highlight if someone is a good contributor.
Mockup
I’ve built a mockup of the deliberation tool (argument maps, reasoned summaries, contributor scoring):
Link: https://t.co/jIiu8SU5Fb
The displayed labels could also show the staked amount of token, to underline, how much stake someone would give on a decision.
Happy to do a quick live pitch/walkthrough and adapt it to Sanctum’s stack.
Who I am & why I’m offering this
I’m a PhD researcher in political theory / political science focused on governance, how cryptocurrencies affect society, and DAO design. I’ve studied how foundation-led, token-weighted, and futarchy-style systems stack up against democratic norms and real outcomes. You can find me on X as CryptoShroomOG
The CLOUD airdrop made it possible for me to pursue this PhD. I’d like to give back, by helping formalize a deliberation layer that matches Sanctum’s ambition.
PS: In the next days I will try to translate a presentation I made on the deliberation tool and post it here as well. I will also expand the literature recommendations with some more quality stuff.
Good reads:
Christian Fuchs: Introduction to social media
Habermas: The Structural Transformation of the Public Sphere (Strukturwandel der Öffentlichkeit)
Sources:
Dahl, R.A., 1989. Democracy and Its Critics. New Haven: Yale University Press.
Habermas, J., 1996. Between Facts and Norms: Contributions to a Discourse Theory of Law and Democracy. Cambridge, MA: MIT Press.
Landemore, H., 2013. Democratic Reason: Politics, Collective Intelligence, and the Rule of the Many. Princeton, NJ: Princeton University Press.
MacKenzie, D. (2006) An Engine, Not a Camera: How Financial Models Shape Markets. Cambridge, MA: MIT Press.
Mansbridge, J., 1983. Beyond Adversary Democracy. Chicago: University of Chicago Press.
