PODCAST
Mathematical Magic
by Queen Mary, University of London
Mathematics and magic may seem a strange combination, but many of the most powerful magical effects performed today have mathematics at their core, just as mathematics lies behind almost all technologies we use, products we buy and the jobs we do. This series features mathematicians and magicians Matt Parker, Peter McOwan and Jason Davison. For more information on amazing maths, science and engineering powered magic, you might like to explore www.mathematicalmagic.com , www.illusioneering.org and www.cs4fn.org/magic . This video was produced by the Faculty of Science and Engineering, Queen Mary, University of London and wideangles.tv, with support from the UK HE STEM project and additional support from cs4fn
Episodes
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Mathematical Magic Trailer
A sneak peak into the world of Magic and Maths
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Introduction
Meet the magicians and find out what mathematical magic they have in store...Peter McOwan is Professor of Computer Science in the School of Electronic Engineering and Computer Science at Queen Mary, University of London and a lifelong amateur magician. Matt Parker is Mathematics Outreach...
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Body Language
Using the magic of algebra Professor McOwan shows us how we can predict what cards a person may be holding. This may come in useful to poker fans!
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The Chatty Jokers
How are these Jokers able to predict a punters choices? Jason Davison issues a challenge in this demonstration of a card classic.
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Dicing with Destiny
How can we influence the roll of a die? Matt Parker demonstrates and explains how to win using Non-Transitive Dice.
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Die Hard
How can you count something you can't see? Matt Parker performs this trick to show how hidden information can influence our decisions
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The Faro Shuffle
Want to manipulate a card deck to place cards in any position? Here the Mathematical Magic team demonstrate the Faro shuffle and explain its applications in the world of Computer Science.
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The Mindmatch Experiment
Can we influence people's decisions thought the power of the mind? Peter McOwan uses his "ESP cards" to control a subject's thoughts using clock arithmetic.
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The Not 21 but 27 Card Trick
But why 27 cards? Matt Parker shows us how to astound an audience by using base 3 numbers. A similar method can also be used to efficiently move data in computer memory.
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Numbers Divided
How can you cheat a calculator? Matt Parker demonstrates and explains how to predict a random number using this simple factoring trick.
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Oil and Water
Are cards really printed with different inks? Peter McOwan uses the Hummer card principle to manipulate sets of red and black cards.
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The One in a Million Prediction
How can you predict (or manipulate) 9 coin tosses in a row? Matt Parker shows you how using theory by Paul Hallas.
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The Piano Trick
Can you really turn cards invisible? Peter McOwan demonstrates how to use misdirection and confusion to mask a simple mathematical premise.
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Two calculator Tricks
How does mental arithmetic affect technology? Jason Davison demonstrates how to manipulate calculators and read someone's mind. Matt Parker becomes a human calculator by calculating cube roots.
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The Voice controlled Path Mystery
Can you really use your voice to influence peoples decisions remotely? In this Interactive trick, Jason Davison shows us how to manipulate card choices.
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Conclusion
Books worth reading if you want to be a mathematical magician
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ABOUT THIS SHOW
Mathematics and magic may seem a strange combination, but many of the most powerful magical effects performed today have mathematics at their core, just as mathematics lies behind almost all technologies we use, products we buy and the jobs we do. This series features mathematicians and magicians Matt Parker, Peter McOwan and Jason Davison. For more information on amazing maths, science and engineering powered magic, you might like to explore www.mathematicalmagic.com , www.illusioneering.org and www.cs4fn.org/magic . This video was produced by the Faculty of Science and Engineering, Queen Mary, University of London and wideangles.tv, with support from the UK HE STEM project and additional support from cs4fn
HOSTED BY
Queen Mary, University of London
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