text: Similarly, the strategy of seeking multiple opinions relates to experimentation in science. When taking an experiment, multiple trials are done to eliminate errors and find an average in the data. The individual opinions of others are all slightly different, just like the individual values in data collecting. In decision making there is an outcome decision that is the average of everyone's individual opinions, and in data collection, the result is the average of all the values recorded in the experiment. Generic_Name, a professor in the field of psychology once said in an article, "Because the two [decision making and data collection] are so similar, each individual opinion is like a data point, so any opinion that is off from the others could be considered as an 'error'. When we try to make an average outcome decision, we are essentially eliminating errors, just like in data collection." In psychology, survey and test data is something that psychologists deal with all the time. By eliminating 'errors' and averaging everyone's opinions together, we get a more accurate outcome.