Author Archives: jbezaire

About jbezaire

Math teacher and Author

The Perfect March Madness Bracket

If you’ve ever filled out a March Madness bracket for the NCAA tournament, you probably realize that you aren’t super likely to pick all of the games perfectly. See how bad your chances are here.

BADGING:

Read the article linked above. Answer the following questions in a couple of sentences each.

  1. How do we arrive at the odds of 1-in -9.2 quintillion? Explain the mathematics that gives that large of an answer.
  2. One mathematician actually estimates that your odds are between 1-in-10 billion and 1-in-40 billion. Explain why he feels that you have these slightly better odds than the original 1-in-9.2 quintillion.
  3. Using the national accuracy of 66.7% when picking first-round games, and assuming we could continue that success rate over the course of the entire tournament, what are the odds of picking a perfect bracket?
  4. Over the past 8 years of bracket challenges, winners have averaged picking 49.8% of games correctly. Using that percentage and the techniques you saw used in the first three questions, what are the odds of a winner predicting a perfect bracket?

Thanks to Hugo W. for suggesting this badge!

Why Does Voting Take So Long? Math and Racism.

There’s been a lot of attention paid to the amount of time it takes to vote in this 2020 Election recently. Turns out the main reasons are math and racism. WIRED can explain more.

BADGING:
Read the WIRED article linked above. Answer the following questions in a few sentences each.

  1. There are a number of variables (reasons) that can explain why some polling places have a long wait time. List some of them here, and give an explanation for one of them.
  2. There are a few variables (reasons) that researchers surprisingly discovered did NOT have any effect on the wait time or not. List them here, and for one of the reasons explain why it might be a surprising discovery.
  3. How could a better understanding of societal racism lead to decreased wait times in some voting locations?
  4. Visit THIS LINK (this was created by the mathematician mentioned in the WIRED article to help visualize wait times at polling locations). This year, Mr. Bezaire waited for exactly 1 hour to vote, between 2 and 3 pm in the afternoon. Play with the variables on this graph to come up with any scenario that makes this wait time possible. Explain the variables required to make this happen.

Skating on Mathematically Thin Ice

How thin can ice be before it breaks beneath you? Would you believe that mathematics can explain the answer? Watch the video above to learn more!

BADGING

Watch the video above and answer the following questions in a couple of sentences each.

  1. How is the thickness of the ice related to the sound that the ice makes? What “pitch” indicates that the ice is ready to break?
  2. List the three things that the mathematician observed about thin ice. Explain how each one is related to mathematics.
  3. What’s the name of the formula that relates the sound the ice makes to its thickness?
  4. What is his motivation for doing this dangerous activity?

Thanks to Jaymin P. for suggesting this badging opportunity!

The Math Behind the Sydney Opera House

Interested in architecture? See some of the math behind the iconic Sydney Opera House in the video above.

BADGING:

Watch the video above. Answer the following questions in a couple of sentences each.

  1. Explain the difference between a catenary dome and a parabolic shell.
  2. Explain why a catenary dome was not useable for construction of the Sydney Opera House.
  3. Explain why a parabolic shell was not useable for construction of the Sydney Opera House.
  4. Explain why a sphere was acceptable for the construction of the Sydney Opera House.
  5. How is it possible for a sphere to produce different size domes if they’re all from the same shape and curvature?

From the NFL’s Big Data Bowl

Alex Stern was a High School student volunteering at a nursing home when he heard about data analytics for the first time. Now, a few years later, he’s finishing college and presenting for NFL teams at the Big Data Bowl. Read about his story here.

BADGING:

Read the article linked above. Answer the following questions in a couple of sentences each.

  1. What was the context of the first model that Alex heard about when volunteering at the assisted living facility? What was the firm measuring about the assisted living facility?
  2. What was Alex’s undergraduate degree at the University of Virginia? What is he studying in graduate school (for his Master’s degree)?
  3. Explain Alex’s football algorithm and what it measured. Why might NFL teams find this information important?
  4. Alex learned a lot about communication when presenting to the Big Data Bowl. Why is it important for statisticians and data analysts to be good communicators?

Copywriting Every Possible Melody

What would it take to own the copyright on every possible melody that could reasonably be created by humans? Watch the video above and find out!

BADGING:

Watch the above video and answer the following questions:

  1. The first computation they wanted to attempt was 8810. In a couple of sentences, explain where those values came from (what does each number represent) and why they ended up abandoning that plan.
  2. What mathematical calculation did they compute where the answer was 68.7 billion melodies? What did those values represent that led them to that answer?
  3. The computer programmers created these 68.7 billion melodies in 6 days. Before this, assuming music was being written in the traditional way, how long was it estimated to take before we “ran out of new music”?
  4. The creators of this project explain that they did not do this so they could force payment for any new melody. Explain who they are trying to support by embarking on this project.
  5. Write a paragraph expressing your opinion: Should people be able to “own” a melody? If there are a finite number of melodies available to humans, is it right for any one person to own one (or more) of them?

Thanks to Braun M. for suggesting this badge opportunity!

Geometric Baking

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@dinarakasko Geometrical kinetic tarts. This work is the result of collaboration with José Margulis @j.margulis Great talented artist from Venezuela who works with Geometric abstractionism and Kinetic art. I tried to transform his creations, made of plastic, aluminum and acrylic, into something edible, using basic techniques and ingredients. All decor was made from white chocolate using milling machine. Read more about these works on my website dinarakasko.com The track: DJ LK – Garden Of Sadness . Геометрические кинетические тарты. Работа является результатом совместной работы с José Margulis @j.margulis талантливым скульптором из Венесуэлы, который работает с геометрическим абстракционизмом и кинетическим искусством. Я попыталась превратить его творения, сделанные из пластика, алюминия и акрила в кондитерские изделия. Для создания декора я использовала белый шоколад и ацетатные пленки, вырезали пластины с помощью фрезерного станка. Читайте всю статью на моем сайте dinarakasko.com . #dinarakasko #cake #desserts #pastrychef #chefstalk #okmycake #pastry #pastryinspiration #cakes #kharkov #харьков #pastryart #geometry #kineticart #art #jmargulis #geometricart #sculpture #kinetic #parametric#designmilk#tart #торт

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A couple of bakers have adopted mathematics into the aesthetic design of their creations. You can see Dinara Kasko’s cakes here, and you can see Lauren Ko’s pies here.

BADGING:

Visit both of the links above and look at the artist’s creations.

Make a list of at least 7 mathematical/geometric concepts or ideas you see included in their creations. Pick at least one that you see in BOTH women’s creations.

Pick at least two culinary (food) terms that you weren’t familiar with from the descriptions, look up their definition, and explain what they mean.

Then, make a drawing for an idea you have for a mathematical cake or pie of your own in the style of either Dinara Kasko or Lauren Ko (your choice, just pick your favorite). Label your drawing with both the flavors/ingredients that you will include, and also the mathematical concepts that you plan to include in your creation. (NOTE: Instead of a drawing you’re welcome to actually bake something and include a photo of it!)

How NASA uses Origami

Did you know that the ancient Japanese art of paper folding (origami) is mathematical in nature?  Did you know that NASA actually uses origami when designing spacecrafts?  Watch the video above to learn more!

BADGING:

Watch the video above.  In a short paragraph, summarize how NASA uses origami when designing spacecrafts.  Then, visit THIS PAGE of origami instructions to create any flower of your choice (if you don’t have suitable origami paper, Mr. Bezaire has some you can borrow).  Include a picture of this origami creation in your Badge Google Doc.  Then, write a second paragraph that describes different mathematical properties/ideas/concepts that you saw and experienced while making your origami creation.

How Half-a-Million Home PC’s Finally Cracked an “Unsolvable” Math Problem


Many people’s home computers sit idly during the day when homeowners are away at work or school.  Did you know that some organizations allow you to connect your computer to a mainframe so that they can “borrow” bits of your operating power to work on difficult problems?  The Charity Engine is one, and it helped to solve one of history’s great unsolved math problems.

BADGING:

Watch the the first 5 minutes of the Numberphile video embedded above, and then read this brief Popular Mechanics article.

Answer the following questions in a few sentences each:

  1.  Describe the “sum of three cubes” problem (aka a “Diophantine equation”).
  2.  Explain why some numbers (like 4 or 5) will never be written as a sum of three cubes.  What mathematical property do these numbers share that makes them unwritable in this way?
  3. Why are 33 and 42 “special cases” when it comes to Diophantine equations?
  4. Explain how long it took computers to finally find a Diophantine solution to 33 and 42.
  5. Find any two Diophantine solutions/equations that weren’t shared in the video or the article.

Thanks to Mr. Victoria for sharing this article as a badging opportunity!

Using Math to Cast Space Jam 2

Space-Jam-2.jpg

Some mathematicians at 538 examined the original cast of the Monstars in the movie Space Jam to see if they could estimate the closest comparable players in today’s NBA.  See who they chose for the new Monstars team!

BADGING:

Watch the video linked above.  Answer each of the questions in a few complete sentences each.

  1.  What does the acronym CARMELO stand for?  Explain in your own words what the CARMELO projections are trying to accomplish.
  2.  Look at each of the graphs that compare the original player with the new player  from the modern NBA (pictured below).  Which new cast member appears most similar to the original member they are replacing?
  3.  Look at each of the graphs that compare the original player with the new player  from the modern NBA (pictured below).  Which new cast member appears most different to the original member they are replacing?

Screen Shot 2019-06-25 at 11.00.54 AM

4.  Fred VanVleet is 9 inches taller than Muggsy Bogues was in the original Space Jam movie.  Explain how they can have the exact same rating on the “height” metric in their comparison graphs.

5.  Pick one of the statistics listed in the comparison graphs that you aren’t sure of its meaning.  Look it up in the basketball-reference glossary and explain what the statistic measures in your own words.