Book/Wisdom-of-Crowds

Local knowledge contains bias and information. Diversity means people are biased differently. When aggregating local knowledge, with the right aggregation tool and a diverse group, diverse biases cancel each other out. This leaves information without much bias. This is the formula for a diverse crowd information == aggregate([ new LocalKnowledge(information, bias_1), new LocalKnowledge(information, bias_2), new LocalKnowledge(information, bias_3), ... ]) where bias_1 != bias_2 != bias_3 != ... A diverse crowd averages out the bias and keeps the information...

Interesting book but seems to be lacking something but I cannot say what. Some of the examples seemed far fetched. Yet one of those examples I thought far fetched, opened up a new way of thinging for me in a related situation… This book seems like one to influence more on an unconscious level than on a conscious level. I would have loved to see where the boundaries are when discussion causes group think and when it does not....