Day 340: Predict (Your Brain's Crystal Ball in Action)
- Brenna Westerhoff
- Dec 15, 2025
- 2 min read
"I know what's going to happen!" Marcus shouted in the middle of our read-aloud. Old me would have said, "Don't spoil it for others." New me said, "Stop. Everyone stop. Marcus's brain just did something incredible. Marcus, walk us through your prediction process."
Marcus stood up, excited. "Okay, so the author keeps mentioning the birthday party. Like, three times. But it's subtle. And the mom is acting weird—she's too calm. And remember yesterday how the character said he hates surprises? I think they're planning a surprise party, and it's going to go badly because he actually hates surprises, not pretend hates them."
He was right. But more importantly, he'd just made his predictive processing visible. He'd shown us how his brain collected evidence, recognized patterns, and projected forward. That's sophisticated thinking.
Prediction isn't guessing. It's your brain being a scientist—gathering data, recognizing patterns, forming hypotheses, testing against new information. It's the most natural thing our brains do, but we rarely make it visible.
So I started prediction protocols. Before turning the page, everyone writes a prediction. Not just what—why. What evidence are you using? What patterns are you seeing? What assumptions are you making?
The diversity was stunning. Same evidence, completely different predictions. Jennifer predicted based on character patterns. Sarah predicted based on author style. Tommy predicted based on genre conventions. Carlos predicted based on personal experience. All valid. All revealing different types of pattern recognition.
But here's what changed everything: tracking predictions over time. We keep prediction journals. Not to see who's "right" but to see how our prediction processes evolve. Kids started noticing their own patterns. "I always predict the worst outcome" or "I focus too much on the first chapter" or "I'm really good at predicting character emotions but bad at plot."
The revision piece is crucial. When predictions are wrong, we study them. Not as failures but as data. "What did I miss? What did I overweight? What assumption was wrong?" Wrong predictions teach more than right ones.
The metacognitive growth was incredible. Kids started predicting their own learning. "Based on how I struggled with fractions, I predict decimals will be hard too. So I'm going to..." They were using predictive processing to plan their own learning.
My favorite moment: During a science experiment, Aisha said, "I predict this will fail because we're rushing like we did last time, and rushing always makes us skip steps." She was predicting based on process patterns, not content. That's sophisticated metacognition.