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# Hasty Generalization

(also known as: argument from small numbers, statistics of small numbers, insufficient statistics, argument by generalization, faulty generalization, hasty induction, inductive generalization, insufficient sample, lonely fact fallacy, over generality, overgeneralization, unrepresentative sample)

Description: Drawing a conclusion based on a small sample size, rather than looking at statistics that are much more in line with the typical or average situation.

Logical Form:

Sample S is taken from population P.

Sample S is a very small part of population P.

Conclusion C is drawn from sample S and applied to population P.

Example #1:

My father smoked four packs of cigarettes a day since age fourteen and lived until age sixty-nine.  Therefore, smoking really can’t be that bad for you.

Explanation: It is extremely unreasonable (and dangerous) to draw a universal conclusion about the health risks of smoking by the case study of one man.

Example #2:

Four out of five dentists recommend Happy Glossy Smiley toothpaste brand.  Therefore, it must be great.

Explanation: It turns out that only five dentists were actually asked.  When a random sampling of 1000 dentists was polled, only 20% actually recommended the brand.  The four out of five result was not necessarily a biased sample or a dishonest survey; it just happened to be a statistical anomaly common among small samples.

Exception: When statistics of a larger population are not available, and a decision must be made or opinion formed if the small sample size is all you have to work with, then it is better than nothing.  For example, if you are strolling in the desert with a friend, and he goes to pet a cute snake, gets bitten, then dies instantly, it would not be fallacious to assume the snake is poisonous.

Tip: Don’t base decisions on small sample sizes when much more reliable data exists.

References:

Hurley, P. J. (2011). A Concise Introduction to Logic. Cengage Learning.

Olga Nikolaeva
Tuesday, September 17, 2019 - 02:51:45 AM
Hello Dr. Bo!
I just found your website and I love it! A lot of good stuff here. I would like to know your opinion whether this is an example of hasty generalization. Here is a conversation I have with my clients (or random people I meet) that takes place almost every single day:
- Olga, I love your accent! Where are you from?
- I’m from Russia.
- Oh....brrrrrrr....it’s so cold there.
They don’t ask me what part of Russia I’m from prior to make this comment. Neither they consider that Russia is one big country with many climates.
Would you consider this a logical fallacy?
Thank you!

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Bo Bennett, PhD
Tuesday, September 17, 2019 - 06:29:20 AM
It is actually an example of stereotyping, which is a fallacy in argumentation otherwise it is just a diversion from rational thinking.

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Nazanin
Friday, September 13, 2019 - 07:21:44 PM
Hi,

I wanted where this stands “some corporation have voluntarily taken steps to reduce their emission of greenhouse gases. So we don’t need to impose any regulations in order to mitigate the effects of climate change”? Is it appeal to ignorance?

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Bo Bennett, PhD
Monday, September 16, 2019 - 05:06:52 AM
This is more of a generic non-sequitur. The conclusion does not follow. The best way to demonstrate this is through analogy. "If some nuclear power plants have taken steps to properly dispose of nuclear waste, does this mean that no regulations for proper nuclear waste disposal are necessary"?

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Ken Fontenot
Tuesday, February 13, 2018 - 08:44:50 AM
Would hasty generalization also cover when someone argues what a situation was like in the past by using the best example as though it were average? For example, in Amusing Ourselves to Death, Neil Postman's argues that the example of Daniel Webster's brilliant mind shows that lawyers of the past (when print dominated all forms of public discourse) were better than lawyers have been since television has dominated. It's like saying NBA basketball players were better in the 80s because of Michael Jordan. Michael Jordan may be better than any player now, but that does not prove the average was better in the 80s. Is that a hasty generalization or is there another terms covering this fallacy?

3 replies

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Bo Bennett, PhD
Tuesday, February 13, 2018 - 09:16:13 AM
That would be a good example of this fallacy. Jordan is a sample of one, then the (hasty) generalization is that players in general were better in the past.

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Ken Fontenot
Tuesday, February 13, 2018 - 09:17:48 AM
@Bo Bennett, PhD: Great! Thank you.

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Alex johnson
Sunday, July 28, 2019 - 01:19:46 AM
@Bo Bennett, PhD: good evening, im trying to find some examples of Greek logic I once examined. My memory fails me as I cannot recite a specific example nor do I recall The name or term associated with the content. I can tell you that all the examples cited were either contradictory-two. Part statements canceling each out, inverted reciprocals, or or reminiscent o of the chicken and the egg puzzle. I have an example that is close that I came up with with: “I’m a straight shooter, I don’t play lay with guns. any ideas please? ive scoured the web and am empty handed. thank you so much
acjj688@gmail.com

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Sam
Saturday, April 13, 2019 - 12:00:20 AM
For example, if you are strolling in the desert with a friend, and he goes to pet a cute snake, gets bitten, then dies instantly, it would not be fallacious to assume the snake is poisonous.

Is this correct? It seems like a sample size of one is not enough to make this assumption? In the example given, for example - the person could have been allergic to the snake's spit, or it might have bitten them in a specific deadly area, or they might have had a heart attack. Seems like Post Hoc Ergo Propter Hoc?

3 replies

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Bo Bennett, PhD
Saturday, April 13, 2019 - 06:42:27 AM
Assumptions often need to be made with the best available data. Assumptions (reasonably) err on the side of caution while incorporating background knowledge and statistics. What are the chances that is was a poisonous snake vs. a fatal allergy or something else? What is the cost of being wrong? The claim made about this would contribute to its fallaciousness as well. For example, "The snake was poisonous" is a less reasonable conclusion than "It's probably safe to assume that the snake is poisonous."

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Sam
Saturday, April 13, 2019 - 09:09:10 AM
@Bo Bennett, PhD: Thanks for taking the time to clarify :)

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Alex johnson
Sunday, July 28, 2019 - 12:45:51 AM
And you could just say association as causation unless your a Latin major

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Alex johnson
Sunday, July 28, 2019 - 12:37:22 AM
The snake example is probably a true story, saddly. Terrible example but the point is crystal clear: assuming the snake Osborn’s deadly is the logical course of action. But, News flash: virtually every snake in every dessert is poisonous!!! And snake s are not cute!! ! And every human fears snakes! And if your “strolling” in a desert then your on the magic concrete sidewalk because one cannot stroll on sand - it’s impossible!!!. I was in White Sands New Mexico for 90 days straight , could not surpass turtle speed on any of the sand varieties there !! And furthermore , death from a snake bite takes a while , even on the neck or face!!! I sure would be wondering weather assuming the cute snake is poisonous with only one person dead from contact was fallacious or not , because , man o man this dessert is making me hungry for snake - rattle snake!!!!!!!

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Krista Neckles
Monday, May 21, 2018 - 11:56:43 AM
Hello Sir,

Suppose that somebody uses a study to reference a general statement about a group of people, but that statement is only true for a certain age group. For instance there are some people in the autism community that argue that there is a seperate female phenotype of it. Yet it is only among toddlers that there seems to be a significant difference in how boys and girls expereince symptoms. What type of fallacy would this be?

Thank you Sir

3 replies

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Bo Bennett, PhD
Monday, May 21, 2018 - 05:12:27 PM
This would be either a case of ignorance or dishonesty. Not sure I would call it a fallacy, because it sounds as if they are withholding information from the other person, and that person isn't expected to know that.

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Allyn Kahn
Friday, September 07, 2018 - 11:58:32 AM
@Bo Bennett, PhD:
Wouldn't this be called a fallacy based on a biased sample, or the Texas Sharpshooter Fallacy, AKA Cherry Picking the data?
By the way, great website that I am recommending to my Critical Thinking students.

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Bo Bennett, PhD
Friday, September 07, 2018 - 12:18:08 PM
@Allyn Kahn: Cherry picking could work, assuming they are aware of the other studies that don't support their conclusion.

Thanks for the recommendation!

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George
Monday, April 23, 2018 - 01:20:19 AM
Can anyone help me with the following:

It is good to do X to Y.

All Y's are Z

Therefore, it is good to do X to Z.

I would like to know if it's valid or invalid. Why or why not? Thank you.

5 replies

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Bo Bennett, PhD
Monday, April 23, 2018 - 07:01:53 AM
No, not valid. Because all Z are not all Y.

It is good to kill (X) ticks (Y).
All ticks (Y) are eukaryotes (Z).
Therefore, it is good to kill (X) eukaryotes (Z) (which include humans).

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George
Wednesday, April 25, 2018 - 01:04:57 AM
@Bo Bennett, PhD: Thanks for the reply, But would the validity of the argument change if stated in this way

Torturing some people can be good
Therefore, torturing people can be good.

Does the first statement not imply the second more general statement?

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Bo Bennett, PhD
Wednesday, April 25, 2018 - 07:55:05 AM
@George: If by "people," "some people" is what is meant, then it is valid. If "all people" is meant, then it is not valid. If it is the former, this is just a tautology and one can argue still bad form.

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George
Thursday, April 26, 2018 - 12:27:06 AM
@Bo Bennett, PhD: It was not specified what was meant by "people" but the person was arguing that it was valid because of "can be." He said, " 'Can be' and 'all are' are different true/false logic tables."

It all started with Person A saying: torturing people can be good when they are terrorist.
Person B then said that Person A said: torturing people can be good.
The person I was arguing with said that the second statement was justified because it was valid and it was an implication of the first statement. No quantifier was ever used before people. To me this second statement seems dishonest at best. Anyway, thank you for your responses and clarifications.

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Bo Bennett, PhD
Thursday, April 26, 2018 - 06:36:07 AM
@George: Dishonest, manipulative, or simply unhelpfully unclear. We all need to focus on being more clear in our conversation and saying what we mean. By saying "torturing people can be good" this implies the desire for a very loose policy on torture. What it doesn't take into consideration is the downside that such a policy would have, which can result in an overall net negative. In that is the case, torturing people can be BAD. While both statements can be literally true, they can only both be true at the same time when we equivocate what we mean by "people."

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Krista Neckles
Saturday, March 10, 2018 - 01:47:35 PM
Hello again Sir,

When I am on the Internet, I sometimes see videos with titles such as "The Five Types of Women" in the world, or "Black People Be Like..", etc. Would categorizing people into such categories be an example of simplistic thinking, a hasty generalization, or both?

Thank you,

Krista Neckles

2 replies

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Bo Bennett, PhD
Saturday, March 10, 2018 - 01:56:03 PM
If anything believed that there were just "five types of women", etc, then this would fall under many fallacies, including simplistic thinking, but I don't think hasty generalization.

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Krista Neckles
Sunday, March 11, 2018 - 03:03:29 PM
@Bo Bennett, PhD: Thank you for the clarification.

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Harry
Tuesday, July 18, 2017 - 03:56:43 AM
For example, if you are strolling in the desert with a friend, and he goes to pet a cute snake, gets bitten, then dies instantly, it would not be fallacious to assume the snake is poisonous.

Actually if the snake bit him then it would be venomous not poisonous. It would be poisonous if the friend ate the snake and then died. Nothing wrong with the logic just thought I'd clarify.

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Bo Bennett, PhD
Tuesday, July 18, 2017 - 07:26:34 AM
Makes sense, thanks!

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