Posts Tagged ‘data’

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Why Olympic Swimmers do the math!

July 29, 2024

In the article ‘Why Some Olympic Swimmers think about math in the pool in the NYT today

 Kate Douglas (above), statistics graduate and USA Olympic swimmer, has used an accelerometer on her back, which measures her movement in 3 spatial directions 512 times per sec, to see where she could reduce drag and improve her swimming times. Could she improve her stroke technique, kick style or the depth she dipped her head under water?

By analysing the data she found she could reduce drag by changing the angle of how she pulled her head out of the water saving 0.15 sec per pullout. 

 

In her research paper, Douglas wrote: “Force applied in any direction other than forward is not helping an athlete achieve their dream of Olympic gold.”

Douglas lifts her head out of the water 20 times per lap. The 200m breaststroke race (above) involves 4 laps so Douglas lifts her head 80 times.

Using math data Douglas could save

 

= 80 x 0.15 sec

=12 secs

Wow!

Of course, other swimmers could do likewise, but in the Olympic trials (above) Douglas won by 1.35 secs. Every 0.01 sec counts.

According to the NYT ‘Kyle Chalmers, the Australian sprinter who is a three-time Olympian has partnered with a Sydney-based sports technology lab that created a device to measure the force generated by a swimmer’s hands as they stroke through the water.’

So far this Olympics he has 1 silver medal in the 4 x 100m relay.

2024 Olympic Medal Update:

Kate Douglass

American swimmer:  2 Gold & 2 Silver Medals

Kyle Chalmers

Australian Swimmer: 2 Silver & 1 Bronze.

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DART vs ASTEROID: Middle School Math

September 27, 2022

DART is a test

of NASA’s planetary defence plans.

AND IF YOU GOOGLE ……..

 DOUBLE ASTEROID REDIRECTION TEST

                                       Guess what?

The DART(Double Asteroid Redirection Test) mission was launched on Nov. 23, 2021, atop a SpaceX Falcon 9 rocket from the Vandenberg Space Force Base in California.

It is the size of a small vending machine and it has been travelling through space for 10 months.

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Mona Chalabi’s Data Art: Maths never looked so good even the dick graphs

April 10, 2022

Mona Chalabi is a British-Iraqi data journalist and illustrator based in London. She specialises in all things data.

An outstanding communicator her work proves that MATH can be artistic and ART can be data-based. She is an honorary fellow of the British Science Association.

Mona Chalabi Self Portrait on INSTAGRAM

WARNING: Mona Chalabi INSTAGRAM account is politically graphic and contains sexually explicit graphs. Yeah! Dick graphs etc. The Instagram links in this post connect with individual illustrations.

1. Mona Chalabi on Jeff Bezos’ Wealth. 

I found Mona Chalabi through her illustrated New York Times article (7 April, 2022) 9 WAYS TO IMAGINE JEFF BEZOS’ WEALTH. 

So Jeff Bezos personal wealth is $172 Billion (US$) Her Toblerone Block vs Mt Everest comparison was in this article.

NOTE: Median wealth is the mid-point wealth ie. 50% of Americans have more wealth. 50% of Americans have less wealth.

2. Mona Chalabi CAFFEINE DATA ON INSTAGRAM

Mona also includes relevant the data in her posts. eg.

 

3.  Mona Chalabi on OUR MOST COMMON FEARS on INSTAGRAM

4. Mona Chalabi on Earth’s Orbit on INSTAGRAM

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Tennis Math: Is player height a BIG advantage? USA units

February 13, 2021

Metric version here.

The Australian Open is on at the moment in Melbourne in LOCKDOWN. (We have 1 community-acquired case. Tennis players are in a bubble.)

Is height a BIG advantage in tennis?

Here are the heights of 3 top seeds in the Australian  Open. (See graph below)

No. 1 Novak Djokovic    6ft 1″  (73 in)

No. 6 Alexander Zverev  6ft 6’   (78 in)

No. 8 Diego Schwartzman  5ft 7’  (67 in)

1. Does serve speed increase with height?

That would be an advantage. Here is a Height vs Serve Speed chart for the Top 6 seeds in the tournament:

Find serve speed data here.

There is NO CLEAR HEIGHT ADVANTAGE for serve speed.

2. Does the serve return rate increase with height?

Here is Diego Schwartzman (L) when he defeated Alexander Zverev (R ) in the 2019 US Open.

What is Schwartzman’s Super Power?

Schwartzman, the shortest player on the circuit (see graph above), tops the service returns stats. Highest 2nd serve return rate. Third highest 1st serve return rate. See data below. So agility, speed, and reaction times are also important factors in becoming a tennis star.

Go Schwartzee! Check data here.

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Tennis Maths: Is player height a BIG advantage? Metric

February 13, 2021

USA units post here.

The Australian Open is on at the moment in Melbourne in LOCKDOWN. (We have 1 community-acquired case. Tennis players are in a bubble.)

Is height a BIG advantage in tennis?

Here are the heights of 3 top seeds in the Australian  Open. (See graph below)

No. 1 Novak Djokovic  188cm

No. 6 Alexander Zverev  198cm

No. 8 Diego Schwartzman  170cm

1. Does serve speed increase with height?

That would be an advantage. Here is a Height vs Serve Speed chart for the Top 6 seeds in the tournament:

Find serve speed data here.

There is NO CLEAR HEIGHT ADVANTAGE for serve speed.

2. Does the serve return rate increase with height?

Here is Diego Schwartzman (L) when he defeated Alexander Zverev (R ) in the 2019 US Open.

What is Schwartzman’s Super Power?

Schwartzman, the shortest player on the circuit (see graph above), tops the service returns stats. Highest 2nd serve return rate. Third highest 1st serve return rate. See data below. So agility, speed, and reaction times are also important factors in becoming a tennis star.

Go Schwartzee! Check data here.

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And the Oscar for Best Mathematical Performance Goes to …..

March 5, 2018

  ………………………………………..

And the Oscar for Best Mathematical Performance Goes to …..

Ben Zauzmer

Ben Zauzmer, a Harvard Applied Math graduate who has a 75 per cent success rate in predicting the winners of Oscar Awards every year, has correctly predicted 20 of 21 winners in 2018 Oscars, which is a success rate of 95%. 

How does he do it? He gathers thousands of data points on Oscar ceremonies over the past two decades – such as categories movies are nominated in, other award results, and aggregate critic scores – and he uses statistics to calculate how good a predictor each of those metrics is in each Oscar category. Then, he plugs in the numbers and that gives him the % chance that each film will win in each category according to  the Boston Globe.

Ben, who writes for The Hollywood Reporter, uses his mathematical model to produce  Bar Graphs like this:

This year the Best Picture was a close call, but Ben’s Mathematical Prediciton was correct.