Wikipedia is for information and knowledge. This is how we can make a Wikipedia for Wisdom (applied knowledge)

Picture this: you're scrolling through your social media feed and stumble upon a heated debate about climate change. Maybe you witness people on a college campus engaged in a question-and-response session. But these exchanges often cut off after one-minute segments. Comments fly fast and furious, each more passionate than the last. Facts, opinions, and outright misinformation blend in a whirlwind of confusion. It's overwhelming, frustrating, and, most of all, unproductive. Usually, in these so-called debates, they cut off right when someone makes an astounding point, and we never hear the rebuttal. This phenomenon is rampant on YouTube, TikTok, and every social media site.


The scene is all too common in today's online spaces, underscoring the pressing need for a new approach to public discourse. Or perhaps we should consider leveraging an existing approach? Enter the Idea Stock Exchange, a platform inspired by Wikipedia's community and knowledge-sharing spirit but designed to cut through the noise of contemporary debates and facilitate meaningful, evidence-based discussions. So, it's akin to Wikipedia, but instead of being a repository for knowledge, it serves as a guide for decisions. It's about applying knowledge wisely. Wikipedia is for knowledge; the Idea Stock Exchange is for wisdom.



While Wikipedia serves as a vast repository of information, the Idea Stock Exchange focuses on facilitating informed decision-making through structured analysis of debates, issues, and decisions.

Imagine a space where every topic has a dedicated page, similar to Wikipedia. Not just to list facts but to map out the core elements of each discussion. Like Wikipedia, we have one page for every topic, where you can link to related topics, subtopics, or more general issues, but each core idea has its own page.

This approach transforms the bewildering labyrinth of opinions into clear, navigable paths, enabling users to engage with complex issues more organized and productively. There are five ways we aim to embrace and enhance Wikipedia's strengths to improve user experiences.

The first is through community-driven contributions and constructive dialogue regarding ideas. At the Idea Stock Exchange, the community breathes life into each debate, contributing arguments supported by solid evidence. Moderation ensures these discussions remain focused, respectful, and anchored in facts, fostering an environment conducive to learning and growth.

However, it's not the "deletion" style of moderation we see elsewhere. It's about ranking, evaluating, and community moderation.

So, if you post something misguided, we don't try to remove it; we aim to explain why it may be considered misguided. We allow the community to post all the reasons to agree and disagree, and then we assign scores to each belief based on the performance of these pro-con sub-arguments. This system ensures that weaker arguments move to the bottom of the list and stronger, more substantiated arguments rise to the top.

So it's community-driven like Wikipedia, and it's largely self-healing or self-regulating, to some extent.

Naturally, there are instances of inappropriate behavior, such as name-calling, that we can flag and block certain IP addresses, just as Wikipedia does. But we aim to avoid arbitrary moderation.

We're adopting the second element of Wikipedia: comprehensive coverage and a global perspective. We aspire to cover the vast expanse of human curiosity, fostering a worldwide exchange of ideas, bridging divides, and challenging assumptions. By gathering diverse perspectives from across the globe, we aim to create a rich tapestry of knowledge and understanding.

Editing a Wikipedia page can be an insightful experience—I've edited many. On each page, you'll notice removing opinions, which is beneficial. That's because Wikipedia's purpose is to present facts.

However, there's a parallel need to organize opinions and arguments related to these facts systematically. That's where the Idea Stock Exchange comes in.

The third feature we plan to incorporate is balanced viewpoints and evidence-based analysis. We aim for fairness, considering diverse opinions with tools illuminating the strength of the evidence behind them.

Our platform utilizes sophisticated algorithms to assess the credibility and relevance of arguments, guiding users toward the most substantiated positions.

These algorithms are designed to be transparent, open, and simple. We're not relying on artificial intelligence but collective intelligence algorithms that perform basic operations like counting, multiplying, and dividing. These algorithms always show their work, ensuring humans can verify and understand their processes.

Before we delve too deeply into that subject...

The fourth aspect of our alignment with Wikipedia is promoting interconnected ideas and fostering a holistic understanding. Similar to how Wikipedia encourages the exploration of related topics via hyperlinks, our platform weaves together debates, offering a network of insights. This interconnected framework allows users to understand the broader context and the relationships between various issues and arguments.

Though we could explore this feature in greater detail, the basic structure is straightforward: you post a belief at the top of the page, followed by reasons to agree and reasons to disagree. Each reason is clickable, leading users to further reasons to support or challenge it and relevant supporting and opposing evidence. Users can also view the interests of those who agree or disagree and assess objective criteria for evaluating the strength of that belief. Interests—whether of supporters or detractors—can be ranked according to Maslow's hierarchy of needs. This is interconnected through hyperlinks, mirroring the way Wikipedia links its content.

Lastly, as Wikipedia emphasizes reliable sources and collective wisdom, we strive for a similar ethos. We prefer to rely on collective rather than artificial intelligence. Every assertion is supported by evidence, and each source undergoes rigorous scrutiny by a community committed to accuracy and truth.

This collaborative approach ensures that discussions are based on reliable information and contributes to maintaining the integrity of the dialogue.

Now, let's dive into how we've adapted and expanded upon Wikipedia's model with four innovative features designed specifically for fostering a more robust debate environment. This adaptation tailors Wikipedia's approach to suit the needs of an argument-focused platform.ReasonRank Scoring Systems for Argument Strength At the heart of our platform lies ReasonRank, an advanced scoring system that pinpoints the most logical and well-supported arguments. By analyzing elements like logical consistency, the quality of evidence, and relevance, ReasonRank equips users to quickly identify the strengths of different viewpoints.

ReasonRank evolved from Google's PageRank, the algorithm that propelled Google to become a tech giant by ranking websites in search results based on their link structure. PageRank assesses the value of a webpage by the number and quality of links pointing to it from other sites. Similarly, an article from renowned sources like the Smithsonian or The New York Times would carry more weight than one from a lesser-known blog, owing to their higher number of inbound links.

Adopting this principle, we aim to quantify the endorsement of arguments by tracking the reasons to agree or disagree with them. However, unlike PageRank's binary link structure, our method considers the subjective nature of arguments. This requires us to introduce linkage scores, evaluating how directly and significantly an argument or piece of evidence supports or undermines a conclusion.

In essence, linkage scores will measure two aspects: the degree to which an argument or evidence, if true, would necessarily strengthen the conclusion and its importance among the objective criteria for assessing a belief's validity. Influenced by user upvotes and downvotes, these scores will guide the platform in discerning the most compelling and significant arguments.

Through these mechanisms, ReasonRank aims to provide a more nuanced and comprehensive understanding of debate dynamics, distinguishing itself from Google's PageRank by incorporating the complexities inherent in argumentation and evidence evaluation.

Let's look at how this framework operates with a real-world topic. Consider the conclusion that human activities are contributing to global warming. Various reasons and evidence support this belief. It can be used to argue for other findings, such as implementing a carbon tax or establishing a "cap and trade" carbon trading system.

By organizing our debate structure this way, we tap into a powerful network effect: when you bolster the argument that human activities lead to global warming—either by adding compelling evidence or refining the reasoning—the credibility and strength of related conclusions, like the necessity for a carbon tax, also rise. This interconnectedness ensures that enhancing one argument effectively amplifies the validity of all interconnected beliefs.

Imagine this scenario unfolding across countless debates and discussions within the platform. The entire ecosystem of beliefs and conclusions dynamically evolves as participants contribute new insights, refine arguments, or challenge existing ones. This creates a knowledge web where every improvement or update in one area can ripple through related topics, fostering a continuously enriching dialogue.

Elevating the debate beyond mere listing of pros and cons, the Idea Stock Exchange introduces a comprehensive impact assessment approach. This entails a deep dive into the real-world implications of various decisions, guiding users through a systematic cost-benefit analysis. This detailed examination outlines potential costs and benefits and facilitates an understanding of their likelihood and impact within specific categories, such as lives affected, freedoms altered, or economic implications.

Users can make choices grounded in thoroughly appreciating possible outcomes by engaging in this nuanced analysis. Such an approach shifts the focus from simply arguing for or against propositions to evaluating their broader consequences. It’s about brainstorming the immediate effects and the ripple effects of decisions across different aspects of society and life.

Potential costs and benefits serve as focused lenses through which debates are analyzed, making them central to agreeing or disagreeing with proposals. This process transforms a collection of data and opinions into actionable insights, channeling knowledge into wisdom. Yet, recognizing the importance of grounding these assessments in solid reasoning, the platform ensures that arguments concerning the likelihood and significance of these costs and benefits are rigorously explored. This structured inquiry into the ramifications of decisions exemplifies the Idea Stock Exchange's commitment to fostering informed, evidence-based decision-making.

Incorporating wisdom into the discourse, the Idea Stock Exchange leverages a conflict resolution framework designed to harness information for wiser decision-making. Central to this approach is a shift from rigidly held positions to a deeper exploration of underlying interests or motivations. This nuanced understanding encourages identifying mutually beneficial solutions, embodying the wisdom of finding win-win scenarios.

The biblical story of King Solomon and the dispute over the baby is a potent illustration of this principle. Solomon wasn't advocating for harm by proposing to divide the child but by unveiling the true interests at play. This discernment allowed him to recognize the genuine mother, who preferred to see her child live with another than see it harmed, thus resolving the conflict based on underlying motivations rather than surface demands.

Applying this ancient wisdom to modern debates, the platform encourages users to delve into the motivations behind different stances. Users can engage in more substantive discussions that cut through initial disagreements by understanding what truly drives the parties involved, whether it's a specific outcome or a broader principle.

This feature of mapping interests – identifying shared and opposing motivations – fosters a deeper comprehension of the roots of conflict. It enables users to recognize commonalities that might not be apparent at first glance, paving the path toward consensus and collaborative solutions. Through a systematic approach, users assess these interests' legitimacy and significance, elevating the debate from mere contention to constructive dialogue and informed resolution.

The Idea Stock Exchange transforms Wikipedia's conventional knowledge platform into a wisdom-oriented framework by incorporating predictive markets for trend forecasting. This innovative feature allows users to wager on the future trajectory of beliefs, converting debates into collaborative efforts to forecast consensus changes. Here's how this system refines the debate process:

Harnessing the Wisdom of Crowds: Users can bet on the likelihood of a belief gaining or losing consensus over time. This mechanism leverages collective intelligence to predict shifts in opinion and emerging trends.

Measuring Consensus through Argument Performance: The platform gauges the strength of beliefs by evaluating the support and opposition they receive. Bets placed by users reflect their assessment of whether a belief is currently under or overvalued based on the depth of its argumentative support.


Staking Reputation or Capital: Participants can invest not just their reputation but also actual money on the future score of a belief. This introduces a tangible stake in the accuracy of their predictions, encouraging thoughtful analysis and commitment.

Encouraging Investment in Wisdom: Drawing a parallel to the financial markets, where investors place bets on companies' future success, the Idea Stock Exchange applies a similar logic to the marketplace of ideas. Users "invest" in beliefs, with the potential to gain or lose based on the accuracy of their predictions.

Ensuring Rigorous Analysis: By allowing users to wager a belief's score's direction, the platform incentivizes thoroughly examining the arguments and evidence presented. This ensures that only the most compelling, well-substantiated beliefs rise to prominence.

Establishing Belief Quality: Predictive markets are not merely a game of chance but a method to validate the quality of beliefs through the practical application of collective intelligence. This system acknowledges that the best way to assess the value of an idea is through the informed consensus of its community.

By transforming debate into a form of investment in the marketplace of ideas, the Idea Stock Exchange introduces a dynamic and engaging way to navigate public discourse. This approach elevates the quality of debate and provides a quantifiable measure of belief validity, driving the pursuit of wisdom in a modern digital agora.

In summary, the Idea Stock Exchange aims to redefine the landscape of public discourse. This innovative platform doesn't merely build upon the solid foundation established by Wikipedia; it seeks to propel public debate to unprecedented levels. By synergizing Wikipedia's ethos of collaboration with state-of-the-art tools tailored for structured discussion and insightful analysis, our goal is to foster a domain where clarity prevails over confusion and conversations are anchored in evidence and empathy. Understanding the motivations behind differing viewpoints is crucial, akin to the principles of conflict resolution.

We invite you to join us on this ambitious journey toward a future marked by greater information literacy, heightened engagement, and enhanced collective understanding. Together, we can redefine how society navigates and resolves the intricate challenges of our era, one meticulously reasoned argument at a time.