Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).

[EX Q]: If someone visits the mouse then the mouse is young. The tiger is young. The squirrel sees the mouse. The mouse needs the squirrel. The rabbit visits the mouse. The squirrel sees the tiger. The tiger needs the mouse. The mouse sees the rabbit. The squirrel is red. If someone sees the rabbit and they visit the rabbit then the rabbit sees the tiger. If someone visits the mouse and they see the rabbit then the rabbit visits the tiger. The mouse is young. The squirrel is young. The squirrel is nice. The squirrel visits the rabbit. The rabbit needs the squirrel. The rabbit needs the mouse. If someone sees the rabbit and they visit the tiger then they need the tiger. If the mouse is young then the mouse visits the tiger. The squirrel sees the rabbit. The tiger is kind. If someone is red and big then they see the tiger.
[EX A]: The squirrel does not see the mouse.

[EX Q]: Charlie is not kind. Bob is not furry. If someone is furry and not young then they are not white. Charlie is furry. Bob is kind. Fiona is not kind. Bob is young. Fiona is white. Bob is smart. Anne is not red. Charlie is not green. Bob is green. Fiona is smart. Fiona is not green. Fiona is not red. Bob is not red. If someone is furry and not white then they are not green. Anne is white.
[EX A]: Anne is not white.

[EX Q]: Dave is white. Charlie is kind. Dave is red. Charlie is white. Dave is quiet. If Charlie is blue then Charlie is kind. Dave is rough. Fiona is kind. Charlie is red. All young, rough things are white. Quiet, blue things are red. Erin is rough. If something is young and kind then it is quiet. If something is white then it is red. Fiona is quiet. Red, kind things are blue.
[EX A]:
Dave is not white.