Biased Sample Fallacy Examples in Media, Real Life, Politics, News & Ads
Biased Sample Fallacy
Biased Sample Fallacy Definition
The fallacy of biased sample in movies refers to the idea that a movie may be biased because it only shows one side of an argument or event. It is a type of sampling error that occurs when the population being studied or surveyed is not representative of the population as a whole
The sample is biased because it does not include all possible members of the population. The sample is biased because it includes some members of the population but excludes other members.
For example, if you wanted to know what percentage of people in your city like ice cream and you only asked 10 people, then this would be an example of a biased sample because it does not represent all people in your city
The sample is biased because its size was determined in a way that will produce the desired result.
Biased Sample Fallacy Examples
Biased Sample Fallacy Real-Life Examples
Biased Sample Fallacy in Real Life:
When you are asked to pick a card from a deck of cards and the person who is asking knows which card is in it, they may ask for your name before picking the card.
The person who picked the card then says “I want you to pick this one” and hands you that particular card.
The biased sample fallacy can be seen when people make decisions about others based on their own personal biases or beliefs.
Biased Sample Fallacy Examples in Media
Examples of Biased Sample Fallacy in Media:
The media often relies on biased samples to make their point.
For example, a recent article in the New York Times was based on interviews with only three people who had been laid off from their jobs.
This is not an unbiased sample and does not represent all of the opinions out there
Biased Sample Fallacy Examples in Advertising
Biased Sample Fallacy in Advertising:
A company advertises a product that is only available in select stores, so the sample used to advertise the product will be biased because it doesn’t represent the general population.
The people who are chosen for an advertising campaign may not be representative of the target market.
If a survey is conducted online and only college students are asked to take part, then there’s a bias in this sample.
Biased Sample Fallacy in Politics
Examples of Biased Sample Fallacy in Politics:
A biased sample is a subset of the population that does not represent the whole.
For example, if you only poll people who are registered to vote and happen to be voting for one candidate, your sample will be biased because it doesn’t include those who are not registered or those who don’t plan on voting at all.
This can lead to false conclusions about what the general population thinks
Biased Sample Fallacy examples in Movies
Examples of Biased Sample Fallacy in Movies:
For example, if you are watching a documentary about how people with disabilities can live independently and participate in society, but all the characters shown have disabilities, then this is an example of bias
Biased Sample Fallacy Examples in Literature
Examples of Biased Sample Fallacy in Literature:
The author’s bias is revealed in the book when he makes a statement about how “a woman’s place is in the home”.
This example of the fallacy of biased sample can be seen in Jane Austen’s Pride and Prejudice, where she portrays women as being dependent on men.
Biased Sample Fallacy Examples in News
Examples of Biased Sample Fallacy in News:
The article is about a study that found that people who make more than $100,000 per year are more likely to vote for the Republican Party.
This could be an example of biased sample because it doesn’t take into account how many Democrats and Republicans there are in the country as a whole.
It’s possible that people who make less than $100,000 per year might also be more likely to vote for the Democratic Party.
Biased Sample Fallacy example in Philosophy
Examples of Biased Sample Fallacy in Philosophy:
A philosopher may be biased in their argument if they only use examples that support their point of view.
The sample is not representative of the population as a whole and therefore does not accurately represent what would happen in reality.
If you are using an example to prove your point, it should be something that is likely to occur again.