Can prediction markets survive? @trylimitless Recently, the mindshare around prediction markets has been growing rapidly, much like @SonicLabs. This is not just a matter of interest; I believe it is a market that is bound to grow in the future. The reasons are... First, prediction markets provide specific probabilities in numerical form. Essentially, prediction markets can be described as a massive voting system where people bet money on the question, 'Will a specific event occur?' If the event actually happens, they receive 100 won (100%), and if it does not happen, they receive 0 won (0%). Because of this structure, the prices formed in the market allow participants to see in real-time what percentage chance they believe the event has of occurring. For example, if they believe there is a 60% chance of receiving 100 won, they are willing to buy that right for up to 60 won. If the market price for a specific event rises from 15 won to 68 won in three weeks, it means that the market has judged the probability of that event occurring to have skyrocketed from 15% to 68%. In this way, prediction markets provide clear judgment grounds that are difficult to obtain from any other media or expert analysis because they present probabilities in specific numbers. The second reason is the fast response speed. Traditional information analysis takes quite a long time to review new information and reach conclusions. However, prediction markets are different. Because participants are directly connected to monetary gains, new information is immediately reflected in trading. As a result, the market's probability assessment is almost instantaneous. This means that prediction markets are the fastest indicators reflecting changes in the world or news. In a modern society where speed is a competitive advantage, this ability to integrate information is also a reason why the market must continue to be used. The third reason is the possibility of cross-checking with other information. Prediction markets gain value not as standalone judgment grounds but when viewed alongside other information. If news, surveys from central agencies, and social data move similarly to prediction markets, it increases their reliability as an indicator. Conversely, if discrepancies appear, it indicates that there are different pieces of information or interpretations, highlighting the need for further investigation and data verification.