A project initiator for Panera Bread needs to create a new sales pitch for all of the 2019 advertisements to be based on. He decides to look into the relationship of number of Panera Breads to the number of food-borne illnesses that led to death. This project initiator decides to survey a proportionate number of countries from each continent based on population size. At each country, the number of Panera Breads as well as the death toll based on food-borne illnesses. After collecting and creating a model of the data, the initiator notices a strong negative correlation; as the number of Panera Breads increases, the number of food-borne illnesses decreases. He brings it back to Panera Bread headquarters, proud of his work. However, the lead statistician notices a problem immediately: there are lurking variables that have led to confounding. The issue, this statistician explains, is that the number of Panera Breads in a country is largely based on GDP and the access to healthy, sustainable food sources. Since these lurking variables are connected with the explanatory variable, number of Panera Breads, there is no way to indicate what is causing the relationship in food-borne illnesses in those countries.