The health and human services department in your state has just compiled a massive “all claims database” that includes all public and private insurance payments for every procedure provided at all hospitals in the state over the past decade atotal of 4.3 billionclaims. A couple of your colleagues at state university are exploring the data anddiscovers a very small but significant increase in the number of hearing tests provided inmonths beginning with the letter J. They begin to hypothesize about why people may beexperiencing increased hearing problems during those months. How would you help them understand the need for caution in interpreting patterns found in “big data”?