My First Million
The best business ideas come from noticing what's working and doing it better, faster, or for a different audience.
Trust Over Accuracy Decision Rule
In advice-seeking, people often prefer trusted but potentially less accurate sources over more accurate but untrusted sources
Decision Rule
When building information products, prioritize trust-building features over pure accuracy optimization
How It Works
Trust reduces cognitive load and anxiety around decision-making, while accuracy without trust creates doubt and second-guessing
Failure Modes
Sacrificing accuracy so much that advice becomes harmful
Building trust through false credentials or fake testimonials
Assuming trust can substitute for basic competence
Example Decision
“Choose to show real names and photos of advice-givers rather than anonymous experts with higher credentials”
Related Knowledge
Wisdom of crowds beats algorithmic search for personal advice
Human-powered Q&A can compete with search engines in specific verticals
Opposite Forces Market Theory
When one solution becomes dominant, it creates market demand for its opposite characteristics
Build high-trust community by starting with pre-filtered, like-minded members
Active community of 10K+ members with high engagement and trust, generating valuable content organically
10,000 moms who are bored and scrolling on their phone
Large groups of engaged users can provide better search results than sophisticated algorithms
Moms are the most valuable customer segment to build a community around because they control househo
Decision-making power over family purchases creates high commercial value, while shared life experiences create strong c
AI search will increase demand for human wisdom
As AI provides instant, generic answers, people will increasingly crave authentic, personal experiences from real humans