Buying News By Metric
For many decades I’ve thought about how to reform areas of life via finding ways to measure the long term outcomes people want from each area, and then paying providers for achieving those outcomes.

For decades, the idea of reforming various aspects of life through measurable long-term outcomes has been at the forefront of my thoughts. This concept extends to the realm of news, where I propose that the way we consume and value news can be transformed by focusing on the outcomes people desire. By shifting the focus from traditional metrics to those that align with reader preferences, we can create a more meaningful and engaging news ecosystem.
One potential approach is to consider the desire of news readers to engage in conversation with others by consuming the same articles. In this scenario, the value of an article could be tied to its popularity, with readers paying proportionally based on how many others are likely to read it. This would incentivize news providers to create content that resonates with a broad audience, fostering a sense of community and shared understanding.
Another angle is to prioritize the enjoyment derived from reading news. By frequently presenting readers with two new articles and asking them to rate their preferences, we could estimate individual ELO ratings based on these tests. News providers could then be compensated more for articles that receive higher ratings, encouraging the creation of engaging and entertaining content. This system would not only benefit readers but also drive innovation in storytelling and presentation.
If the primary goal of news consumption is to gain insights into the future of humanity, we could leverage large language models (LLMs) to test their predictive abilities. Articles that significantly improve these models' predictions could be valued and compensated more, incentivizing journalists to delve into topics that have a substantial impact on shaping our collective future. This approach would place a greater emphasis on thoughtful, forward-thinking journalism.
Additionally, ensuring the accuracy of news articles is crucial. By evaluating random samples of articles for their factual content and compensating sources based on their accuracy, we can promote transparency and trust in the news industry. This would not only benefit readers but also encourage journalists to uphold higher standards in their work.
While these proposals offer innovative solutions, they face cultural and psychological barriers. Many individuals may feel uncomfortable with the idea of making cultural choices based on mechanical numerical mechanisms, especially when financial incentives are involved. People often rely on their intuition and "vibes" to guide their decisions, and introducing quantifiable metrics could be perceived as undermining this process.
For instance, reforming crime, health, career planning, and other areas of life through strong incentives tied to numerical metrics has faced resistance. Furthermore, even subtle reliance on external ratings, such as using Metacritic to select movies and TV shows, can lead to perceptions of reduced personal judgment.
To overcome these cultural challenges, it is essential to approach the transformation thoughtfully and transparently. Gradual implementation, coupled with clear communication about the benefits of these systems, may help to alleviate concerns and build trust. Ultimately, the goal should be to create a news landscape that not only reflects reader preferences but also fosters a deeper connection to the world around them, all while respecting individual values and autonomy.










