The Magic What-If Machine

What if everything your child wondered "why?" about could teach them how scientists find real answers?

When Momo drinks a special smoothie and wonders if it REALLY makes her jump higher, she and her twin Puri discover something amazing: how to tell the difference between coincidence and cause. Through playground adventures, they learn the same tools economists and scientists use to solve mysteries!

Perfect for curious kids ages 5-13 who love asking questions and figuring out how things work.

✨ What Makes This Special:

• Teaches critical thinking through an engaging twin adventure
• Introduces real research concepts (used by economists!) in kid-friendly ways
• Grows with your child - early readers enjoy the story, older kids grasp the deeper methodology
• Builds the foundation for STEM thinking: "How do we REALLY know?"

Parents and educators love this series because it:

• Answers the endless "but how do you know?" questions kids ask
• Makes complex ideas fun and accessible
• Encourages evidence-based thinking from an early age
• Works beautifully for advanced readers, gifted programs, or homeschool science curriculum

"Building tomorrow's problem-solvers, one story at a time."

📚 This is Volume 1 of The Impact Evaluation Series for Children - a groundbreaking series that makes econometrics accessible and exciting for young minds.

Reading Tips Inside! Includes guidance for parents on how to spark discussions about evidence, cause-and-effect, and critical thinking - no technical background needed.

Jasleen is a policy researcher and data analyst with a PhD in Public Policy from UT Austin, where her dissertation examined gender dynamics in international development organizations through analysis of 3,500 Asian Development Bank projects. Her research expertise spans experimental design, causal inference, and large-scale impact evaluation, developed through roles at prestigious institutions including J-PAL South Asia. At J-PAL, she led a randomized controlled trial with nearly 8,000 participants evaluating gender interventions across rural India. At the time of writing this book, she is working at Uptogether as a Survey Analyst, conducting longitudinal analysis of cash transfer impacts. She specializes in translating complex statistical analyses into actionable policy recommendations. Her work has been published in peer-reviewed journals and presented at international conferences. She is driven by the belief that rigorous data analysis can inform more effective, equitable policies that strengthen communities.