1. What We Did Played a LOT of games of Jenga ~400 Chose 5 different strategies to play Recorded 3 observables –Number of bricks that fell in “avalanche” –Last brick touched before “avalanche” –Distance from base of tower to furthest brick after the tower fell From This To This

2. Strategies Middles Out Middle Then Sides ZigZag Side 1Side 2 JENGA Side 1 JENGA Side 1Side 2 JENGA All Outside Bricks Side 1Side 2 JENGA AND FINALLY… An optimal game strategy where we would start from the bottom and work our way up, pulling out any bricks which were loose enough to pull out easily

3. Many Strategies So We Could … Compare strategies to see if any patterns were emerging Compare more ordered methods of pulling bricks out to the random optimal strategy See if strategies used had a large impact on the data obtained. Whoooooaaaaaaa!!!!!!!!

4. We hoped to see at least some emerging signs of a complex system as more data was taken We assumed the distance of blocks from base would be Gaussian to begin with but maybe tend towards a power law Perhaps some patterns relating to strategies used and observables What We Expected

5. Results for Different Strategies

6. Results for Brick Distances Not Enough Data to definitively rule out one distribution, Gaussian and Cauchy-Lorentz look to fit data quite well