I am an Ultra-Conservative, Alpha-Male, True Authentic Leader, Type "C" Personality, who is very active in my community; whether it is donating time, clothes or money for Project Concern or going to Common Council meetings and voicing my opinions. As a blogger, I intend to provide a different viewpoint "The way I see it!" on various world, national and local issues with a few helpful tips & tidbits sprinkled in.
A hasty generalization draws conclusions from inadequate evidence. Suppose someone says, “My hometown is the best place in the state to live.” And the person gives only two examples to support the opinion. That’s not enough. And others might not feel the same way, perhaps for many reasons. Therefore, the person who makes such a statement is indulging in a hasty generalization. Stereotyping is another kind of hasty generalization. It happens, for example, when someone says, “Everyone from country X is dishonest.” Such a sweeping claim about all members of a particular ethnic, religious, racial, or political group is stereotyping. Yet another kind of stereotyping is sexism, which occurs when someone discriminates against another person based on gender. For example, when an observer of a minor traffic accident involving women makes negative comments about all “women drivers,” the person is guilty of a combination of stereotyping and sexism—both components of hasty generalization.
A false analogy draws a comparison in which the differences outweigh the similarities or the similarities are irrelevant. For example, “Old Joe Smith would never make a good president because an old dog can’t learn new tricks” is a false analogy. Joe Smith isn’t a dog. Also, learning the role of a president cannot be compared to a dog’s learning tricks. Homespun analogies like this have an air of wisdom about them but tend to fall apart when examined closely.
A false cause assumes that because two events are related in time, the first caused the second. It’s also known as post hoc, ergo propter hoc (Latin for “after this, therefore because of this”) or the Butterfly effect. For example, if someone claims that a new weather satellite launched last week has caused the rain that’s been falling ever since, that person is connecting tow events that have no causal relationship to each other. One must be careful that the two are connected. Cause and Effect can lead to the ripple effect though. When many events are related and can be traced back to each other much like the “to build a mousetrap game.” This is a major cause of jumping to a conclusion for many that do not carefully look at the outcome and logically reason out the problem.