Strong prior
Imagine you are playing a game where you have to guess what color candy is in a jar. You have two options: Option 1 is to guess randomly, and Option 2 is to use some clues to help you guess.
Using some clues is like having a strong prior. A strong prior is an assumption you make based on some knowledge you have. In our game, you could have a strong prior that says most people like red candy, so you think the candy in the jar is more likely to be red.
When you have a strong prior, you can make more informed guesses. You still might not get the answer right, but you are more likely to be correct than if you were guessing randomly.
In science, having a strong prior means you have some knowledge about the topic before you start your experiment. This knowledge helps you to make predictions about what will happen. For example, if you know that plants need sunlight to grow, you can predict that a plant in a dark closet will not grow well.
Overall, having a strong prior is like having a little bit of inside knowledge that helps you make better guesses or predictions.
Using some clues is like having a strong prior. A strong prior is an assumption you make based on some knowledge you have. In our game, you could have a strong prior that says most people like red candy, so you think the candy in the jar is more likely to be red.
When you have a strong prior, you can make more informed guesses. You still might not get the answer right, but you are more likely to be correct than if you were guessing randomly.
In science, having a strong prior means you have some knowledge about the topic before you start your experiment. This knowledge helps you to make predictions about what will happen. For example, if you know that plants need sunlight to grow, you can predict that a plant in a dark closet will not grow well.
Overall, having a strong prior is like having a little bit of inside knowledge that helps you make better guesses or predictions.
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