What is meant by post hoc fallacy?

At Dear Pandemic, we want to dish out science facts AND equip our readers with tools to make sense of data and science themselves.

This is the 5th post in an ongoing series by Dr. Kristen Panthagani of You Can Know Things, in which she dissects common logical fallacies that have led people astray during the pandemic.

⚠️ The Post Hoc Fallacy ⚠️

“VAERS shows thousands of people have died from the COVID vaccines!”

The post hoc fallacy (formally the ‘post hoc ergo propter hoc’ fallacy, which is Latin for ‘after this, therefore because of this’) is a fallacy that assumes that if event A comes before event B, event A must have been the cause of event B (without any additional evidence of causality). This is a version of the “correlation implies causation” argument. Misinterpretations of the VAERS database are a great example of this. Many people assume that if a negative health event occurred shortly after vaccination, that proves the vaccine caused it. This is false and is an example of the post hoc fallacy, because temporal association alone is not enough evidence to determine if one event is the cause of another. It is unreasonable to assume that with millions of people getting vaccinated, nobody will have any unconnected negative health events within the weeks following vaccination. Statistically, we know there will be some negative health events that occur after vaccination purely due to chance. See this DP previous explainer.

From VAERS reports alone, it is not possible to determine if vaccination was the true cause of the reported adverse event. To tell the difference between unrelated adverse events and true vaccine side effects, VAERS reports are verified and studied to determine if there are adverse events that are occurring more often after vaccination than would be expected from background levels (more detail).

This is how VAERS is used properly and why it’s such a useful vaccine safety monitoring tool. In fact, there is one vaccine I *didn’t* get because of VAERS reports that were used correctly. That story is told here.

A note on logical fallacies:

Logical fallacies are common patterns of reasoning that seem true on the surface but have one or more critical flaws. At their root, many are oversimplifications–like a cognitive shortcut. They are appealing because they make something complex, like vaccine safety or the efficacy of masks, into something simple and easy to understand. However, this oversimplification often leaves out important details, leading to the wrong conclusions.

Logical fallacies are common and used by people arguing both for and against nearly every pandemic topic. They are NOT a sign of stupidity or lack of intelligence: they have tripped up nearly everyone at some point. And just because someone uses a fallacy in their argument doesn’t automatically mean they’re wrong — (that’s the fallacy fallacy!). It simply means they haven’t provided adequate evidence supporting their argument, but that evidence may in fact exist. It’s useful to recognize logical fallacies in our own thinking so we can make more accurate conclusions about the world around us.

What is meant by post hoc fallacy?

More reading:

CDC Selected Adverse Events Reported after COVID-19 Vaccination

You Can Know Things – Are COVID vaccines killing thousands of people?

More in this series:

The Appeal to Authority Fallacy

The False Dichotomy Fallacy

Sealioning (“I’m just asking questions”)

The False Equivalence Fallacy

More on logical fallacies

Link to Original FB Post

Post Hoc

Fallacy occurs when an argument is made using illogical reasoning. Post hoc is a fallacy where one reasons that since an event occurred before another, then the first event caused the other. This is not always the case.

Examples of Post Hoc:

1. Our soccer team was losing until I bought new shoes. We have not lost a game since I got my lucky shoes!

2. I sneezed at the same time the power went off. My sneeze did something to make the power go off.

3. The football team lost last week, and now this week's pep rally is cancelled. I can't believe that the principal would do that! (In reality the pep rally was cancelled because of a required standardized test.)

4. Kevin's dog scratched his leg, and that night he had a fever. Kevin concluded that his dog must have infected him with something.

5. Lois and Jan did a "snow dance" one afternoon, and it snowed that night. They claimed to have brought the snow.

6. Willie wore blue socks to football practice, and he did not drop the ball a single time. Willie decides to wear blue socks to every football practice.

7. Katie's little brother laughed at the same time that Katie spilled her juice. She yelled at him for causing her to spill her juice.

8. The temperature has dropped this morning, and I also have a headache. The cold weather must be causing my headache.

What is a post hoc fallacy example?

Post hoc: This fallacy states that the first event necessarily caused the second when one event happens after another. For example, a black cat crossed my path, and then I got into a car accident. The black cat caused the car accident.

Which is the best example of post hoc fallacy?

The Latin phrase "post hoc ergo propter hoc" means "after this, therefore because of this." The fallacy is generally referred to by the shorter phrase, "post hoc." Examples: "Every time that rooster crows, the sun comes up. That rooster must be very powerful and important!"

Why do people use post hoc fallacy?

Post hoc fallacy, or false cause fallacy, is an argument that draws the conclusion that one event is directly caused by another event without evidence to prove this. The conclusion suggests a cause and effect relationship between two events, or one event or thing causing a specific effect.

How is the post hoc fallacy committed?

Post hoc fallacy is the reasoning that since event B followed event A, event B must have been caused by event A. The conclusion you reach is based solely on the order of events that happened rather than taking into account other factors or potential logical reasons.