If You Give a Mouse a Cookie... The Slippery Slope Fallacy

What happens if you give a mouse a cookie?

Well, he's going to want a glass of milk. And before you know it, you're doing mouse haircuts, mouse naps, and mouse refrigerator art.

Is this just a classic children's story—or a cautionary tale about the slippery slope fallacy?

In this video, we take a closer look at the slippery slope fallacy: what it is, why it's often a bad argument, and why some slopes really are slippery.

We'll look at:

• The basic structure of a slippery slope argument
• Classic examples from moral panics and political debates
• Why slippery slope arguments often fail
• How probabilities combine across a chain of events
• Cases where slippery slopes actually can be legitimate
• The tricky case of prediction markets and betting on harmful events
• Slippery slope arguments about AI, including both AI doomer and AI "zoomer" perspectives
• Whether the future of AI is a terrifying descent—or a waterslide toward utopia

A slippery slope argument claims that a relatively simple action will eventually lead to disastrous consequences. But the fact that the consequences would be terrible doesn't establish that the causal chain leading to them is inevitable—or even likely.

The key question is: What actually connects each step of the slope?

If the causal mechanism is vague, unsupported, or relies primarily on the severity of the final outcome to scare us away from the first step, we may be dealing with a fallacy.

But sometimes slopes really are slippery. Addiction, security vulnerabilities, and certain behavioral patterns can create genuine chains of consequences. The challenge is figuring out which is which.

Which will give me fame. Which I can parlay into political office. And then, when I rule the world, I will bring about a utopia for all.