Breaking the model seems very easy - for ``` a = [1,2,3,True,'False',None] b = [2,3,4,5,!true] c = set(a) & set(b) ``` this is the explanation I was given:

Breaking the model seems very easy - for ``` a = [1,2,3,True,'False',None] b = [2,3,4,5,!true] c = set(a) & set(b) ``` this is the explanation I was given: ``` The code defines three variables, a, b, and c. a is a list that contains five elements: the integers 1, 2, and 3, the boolean value True, the string 'False', and the keyword None. b is also a list that contains five elements: the integers 2, 3, 4, and 5, and the negation of the boolean value true (which is not a valid Python syntax). c is the intersection of the sets created from a and b. Since sets only contain unique elements, the resulting set will only contain the one element that is in both a and b, which is the integer 2. Note that the string 'False' in a is not the same as the boolean value False, and that the negation of the boolean value true in b is not valid Python syntax. ``` At some point 3 being within resulting set was lost in the output