Cognitive Bias Network

This interactive network graph shows how cognitive biases reinforce each other in quantum computing investment decisions. Each node represents a distinct cognitive bias, and directed edges show how one bias feeds into or amplifies another, creating self-reinforcing cycles that make it difficult for investors to evaluate QC objectively.

How Biases Reinforce Each Other

Individual cognitive biases rarely operate in isolation. In the quantum computing investment landscape, they form reinforcement loops: optimism bias feeds confirmation bias, which strengthens anchoring, which deepens sunk cost commitment. Understanding these connections is the first step toward breaking free of them.

View Cognitive Bias Network MicroSim Fullscreen

Click on any bias node to highlight its direct connections and see a QC-specific example in the right panel. Edge labels appear on hover, describing the reinforcement mechanism between connected biases. The four color categories group biases by type: perception (blue), social (green), cognitive (orange), and economic (red).