## Posts tagged ‘statistics’

### Stupid Stats

C’mon, now… really?

Uterine size in non-pregnant women varies in relation to age and gravidity [number of pregnancies]. The

mean length-to-width ratio conformed to the golden ratioat the age of 21, coinciding with peak fertility.

Claiming that a uterine golden ratio coincides with peak fertility is highly suspect. The good folks at Ava Women claim that, “Most women reach their peak fertility rates between the ages of 23 and 31.” Information at Later Baby states, “Female fertility and egg quality peak around the age of 27.” And WebMD says, “A woman’s peak fertility is in her early 20s.” So, there seems to be some debate about when peak fertility actually occurs. Consequently, this strikes me as retro-fitting, and it seems that Dr. Verguts and his colleagues may have played loose with the age of peak fertility in order to make a connection to the golden ratio.

In their defense, though, it’s not the first time that folks have gone uptown trying to find a connection to the golden ratio. A claim by The Golden Number states, “[The DNA molecule] measures 34 angstroms long by 21 angstroms wide for each full cycle of its double helix spiral,” and 34/21 ≈ 1.6190476, which is approximately equal to φ, 1.6180339.

Though this guy — an honest-to-goodness biologist — seems to disagree:

I’ve also heard folks say that people are perceived as more beautiful if certain bodily proportions are in the golden ratio. The most extreme example of this that I’ve found involves the teeth:

…the most “beautiful” smiles are those in which central incisors are 1.618 wider than the lateral incisors, which are 1.618 wider than canines, and so on.

In a study of 4,572 extracted adult teeth, Dr. Julian Woelfel found the average width of the central incisor to be 8.6 mm. If the teeth in a beautiful smile follow the geometric progression described above, well, that would imply that the first molar would be just 8.6 × 0.618^{5} ≈ 0.8 mm wide, which isn’t reasonable and, moreover, is not even remotely close to the average width that Dr. Woelfel found for the first molar: approximately 10.4 mm.

But all of these claims involving the golden ratio are not even close to being the stupidest statistics I’ve heard in my life. Mary Anne Tebedo made a remark on the floor of the Colorado State Senate in 1995 that may hold that distinction:

Statistics show that teen pregnancy drops off significantly after age 25.

Of course, it’s hard to call that a *statistic*, since it’s completely nonsensical. Maybe it’s only the stupidest *statement* I’ve ever heard.

Then there’s this one, from the *New York Times* on August 8, 2016, which couldn’t be more useless:

No presidential candidate has secured a major party nomination after an FBI investigation into her use of a private email server.

Well, duh. Email didn’t even exist before the 1970’s. Moreover, besides Hillary Clinton, has *any* presidential candidate ever had their use of a private server investigated by the FBI? This is like saying, “No one has ever been named *People*‘s Sexiest Man Alive after writing a math joke book.” (Not yet, anyway.)

Randall Munroe made fun of these types of “no politician has ever…” claims in 2012 with his cartoon *Election Precedents*:

And it’s true:

But perhaps my all-time favorite is one that Frank Deford — may he rest in peace — included in his piece “The Stupidest Statistics in the Modern Era” on NPR’s Morning Edition:

He’s [Brandon Phillips] the first National League player to account for as many as 30 steals and 25 double plays in one season.

About this stat, Deford commented, “Steals and double plays together? This is like saying, ‘He’s the first archaeologist to find 23 dinosaur bones and 12 Spanish doubloons on the same hunt.'” (I sure am going to miss him.)

The preponderance of dumb stats shouldn’t come as a surprise, though. A recent study found that people deemed real news headlines to be accurate 83% of the time and fake news headlines to be accurate 75% of the time. So, if we can’t tell truth from fiction, how can we possibly distinguish useful statistics from inane?

If you’d like to test your ability to detect fake news, check out Factitious from American University.

### Morelli, Coleman, and Statistical Outliers

You won’t see Pete Morelli and crew officiating tonight’s Monday Night Football game — and Philadelphia Eagles’ fans couldn’t be happier.

At kick-off, more than 74,000 fans had signed a petition to have Morelli banned from serving as the referee for any Eagles’ game. That’s because last Thursday night, Morelli and his crew called 10 penalties for 126 yards against the Eagles, whereas they only called 1 penalty for 1 yard against their opponents, the Carolina Panthers.

But Philadelphia sports reporter Dave Zangaro pointed out that Morelli has a history of lopsided officiating against the Eagles. In the last four Eagles’ games that Morelli has covered, his crew has called 40 penalties for 396 yards against the Eagles, but only eight penalties for 74 yards against the opponents.

No doubt, that’s quite a disparity.

But I’m curious if any of the petition signers have actually checked the numbers. Statistical anomalies happen, and I suspect that the imbalance they’ve identified is likely one of many. I didn’t run the numbers to determine if Morellli’s stats constitute an outlier; that would be too much work. But, I did take a quick peek at the other referees in the league to see what I can see.

And what I found leads me to wonder, **Why hasn’t anyone started a petition to get Walt Coleman banned from officiating Atlanta Falcons games?** Maybe it’s because Coleman officiates *in favor* of the Falcons.

Check it. In the last six Falcons’ games that Coleman has officiated, the Falcons have been penalized only 29 times for 216 yards. Their opponents, by comparison, have been penalized 53 times for 463 yards. That’s an average of four fewer penalties and half as many penalty yards per game.

And it’s even worse if you consider only home games. In those four games, the advantage is just 16 penalties for 111 yards against the Falcons to 37 penalties for 320 yards against their opponents.

Don’t believe me? Take a look…

Date | Game | Opponent’s Penalties | Opponent’s Penalty Yds | Falcons’ Penalties | Falcons’ Penalty Yds |

9/30/12 | Panthers @ Falcons | 9 | 64 | 2 | 15 |

1/13/13 | Seahawks @ Falcons | 6 | 35 | 3 | 11 |

9/29/13 | Patriots @ Falcons | 9 | 93 | 6 | 55 |

12/23/13 | Falcons @ 49ers | 7 | 45 | 5 | 37 |

12/4/16 | Chiefs @ Falcons | 13 | 128 | 5 | 30 |

9/24/17 | Falcons @ Lions | 9 | 98 | 8 | 68 |

Totals |
53 |
463 |
29 |
216 |

Admittedly, those numbers aren’t quite as stark as Morelli’s, but they don’t exactly paint a picture of Coleman as an impartial ref, either.

In 2012, replacement official Brian Stropolo was banned from working a New Orleans Saints’ game when pictures of him donning Saints’ attire were found on his Facebook page. So there is precedence if the NFL wants to use my analysis to ban Coleman from Falcons’ games, or if they want to accept the petition and ban Morelli from Eagles’ games.

But let’s keep this in perspective and remember one thing: **It is Philadelphia**, after all. I mean, we’re talking about a sports town where fans threw snowballs at Santa Claus and threw batteries at Eagles quarterback Doug Pederson — the same Doug Pederson, in fact, who is now the Eagles coach. So if Morelli and his crew are deliberately blowing the whistle more against the Eagles than their opponents, who cares? This type of denigration couldn’t be offered to a more deserving team.

### Sound Smart with Math Words

When law professor Richard D. Friedman appeared in front of the Supreme Court, he stated that an issue was “entirely orthogonal” to the discussion. Chief Justice John G. Roberts Jr. stopped him, saying, “I’m sorry. Entirely *what*?”

“Orthogonal,” Friedman replied, and then explained that it meant *unrelated* or *irrelevant*.

Justice Antonin Scalia was so taken by the word that he let out an **ooh** and suggested that the word be used in the opinion.

In math class,* orthogonal* means “at a right angle,” but in common English, it means that two things are unrelated. Many mathematical terms have taken a similar path; moreover, there are many terms that had extracurricular meanings long before we ever used them in a math classroom. *Average* is used to mean “typical.” *Odd* is used to mean “strange” or “abnormal.” And *base* is used to mean “foundation.” To name a few.

The stats teacher said that I was average, but he was just being mean.

You know what’s odd to me? Numbers that aren’t divisible by 2.

An exponent’s favorite song is, “All About the Base.”

Even words for quantities can have multiple meanings. Plato used *number* to mean any quantity more than 2. And *forty* used to refer to any large quantity, which is why Ali Baba had forty thieves, and why the Bible says that it rained for forty days and forty nights. Nowadays, we use *thousands* or *millions* or *billions* or *gazillions* to refer to a large, unknown quantity. (That’s just grammatical inflation, I suspect. In a future millennium, we’ll talk of *sextillion* tourists waiting in line at Disneyland or of *googol* icicles hanging from the gutters.)

Zevenbergen (2001) provided a list of 36 such terms that have both math and non-math meanings, including:

- angle
- improper
- point
- rational
- table
- volume

The alternate meanings can lead to a significant amount of confusion. Ask a mathematician, “What’s your point?” and she may respond, “(2, 4).” Likewise, if you ask a student to determine the volume of a soup can, he may answer, “Uh… quiet?”

It can all be quite perplexing. But don’t be overwhelmed. Sarah Cooper has some suggestions for working mathy terms into business meetings and everyday speech. Like this…

For more suggestions, check out her blog post How to Use Math Words to Sound Smart.

If you really want to sound smart, though, be sure to heed the advice of columnist Dave Barry:

Don’t say:“I think Peruvians are underpaid.”

Say instead:“The average Peruvian’s salary in 1981 dollars adjusted for the revised tax base is $1452.81 per annum, which is $836.07 below the mean gross poverty level.”

NOTE: Always make up exact figures. If an opponent asks you where you got your information, makethatup, too.

This reminds me of several stats jokes:

- More than 83% of all statistics are made up on the spot.
- As many as one in four eggs contains salmonella, so you should only make three-egg omelettes, just to be safe.
- Even some failing students are in the top 90% of their class.
- An unprecedented 69.846743% of all statistics reflect an unjustified level of precision.

You can see the original version of “How to Win an Argument” at Dave Barry’s website, or you can check out a more readable version from the Cognitive Science Dept at Rensselaer.

Zevenbergen, R. (2001). Mathematical literacy in the middle years. *Literacy Learning: the Middle Years*, *9*(2), 21-28.

### Hold On… *How Many* Copies?

How many copies of *Math Jokes 4 Mathy Folks* do you think sold last week?

Make Your Prediction Here (Google Form) |

Why would you want to make a prediction? Well, lots of reasons…

- Like the author (and readers) of this blog, you’re a math geek.
- You swoon at the sight of data.
- You’ve never met a puzzle you didn’t like.
- You want to show the world how awesome you are.
**You’d like to win a signed copy of***Math Jokes 4 Mathy Folks*, some cool MJ4MF stickers, and a surprise gift, all shipped to you in exclusive MJ4MF packaging!- All of the above.

If you’re reading this blog, then you surely love being alive in the Age of Big Data. I love it, too, and I devour any data that I can get my hands on.

Amazon feeds my desire by providing two valuable pieces of data about * Math Jokes 4 Mathy Folks*. First, they provide the

**sales rank**for the book, which is updated hourly. Second, they provide

**weekly sales data**. The downside to this latter stat is the delay in its release — they provide data for Monday-Sunday, but it isn’t released until the following Friday. The upside is that big dorks like me use the time from Monday through Thursday to make predictions.

The chart below shows the average sales rank and weekly sales for Nov 24 through Dec 14. (The “average sales rank” is the average of the sales ranks for the seven days each week. Although it’s updated hourly, I don’t have the time to check it that frequently, so I rely on Author Central, which reports the sales rank at the end of each day.) It also shows the average sales rank (but not sales) for last week, Dec 15‑21.

Week |
Amazon Sales Rank(Weekly Average) |
WeeklySales |

Nov 24-30 |
4,742 | 114 |

Dec 1-7 |
3,437 | 279 |

Dec 8-14 |
2,390 | 435 |

Dec 15-21 |
2,063 | ? |

**The question: How many copies of MJ4MF were sold last week?**

Oh, sure… I could just wait until Friday to find out — but what fun would that be?

Instead, I constructed several mathematical models, and then I tweaked them to predict how many books were sold. The tweaks were based on some things I’ve learned over the past couple of years:

- Holiday sales are most vigorous in the first two weeks of December. They slow down a bit in the third week. Consequently, a sales rank of 1,655 on Dec 1 does not equal a sales rank of 1,655 on Dec 21.
- The long-term trend is not linear. In fact, this graph from Foner Books shows that it’s logarithmic.

Which brings us to the contest. Go to the Google form and **enter your prediction and email address**. (The email is only so I can contact you if you win.) **Closest guess to the actual number of sales will win the grand prize.** In the event of a tie, a winner will be randomly selected (or if I’m feeling generous, maybe there will be multiple winners… it’s hard to predict my disposition on any given day).

So, what are you waiting for? Open Excel or SPSS or your stat software of choice, muddle through a few regressions, and submit your entry!

**Winners will be announced on Saturday, December 27, 2014.** The exact time will depend on what time I roll out of bed, what activities my wife and kids propose for the day, and my particular disposition on Saturday. On second thought… safest if you check back on Sunday.

Good luck!

### You Say It’s Your Birthday…

Well, no, actually it’s not my birthday. And it’s not my friend Jacqui’s birthday, either, but she did just celebrate a milestone with us that she wanted to share. Via email, she announced,

I’ve been alive for two billion seconds, a milestone I passed this morning.

This reminded me of a problem from Steve Leinwand’s book, *Accessible Mathematics*, in which he tells kids his age as a unitless number, then asks them to identify what units he must be using. Along those lines, here are some questions for you.

- How old (in years) is my friend Jacqui?
- What is her date of birth?
- If I tell you that my age is 22,333,444, what units must I be using? Assuming I’m not telling a fib, of course. And what is my age in years and my date of birth?

This reminds me of two math jokes about birthdays.

Statistics show that those who celebrate the most birthdays live longest.

An algebraist remembers that his wife’s birthday is on the (

n– 1)^{st}of the month. Unfortunately, he only remembers this when he is reminded on then^{th}.

### Interview: Matt Parker, Stand-Up Maths

Matt Parker is a funny dude — and a bit warped.

He created a show called *Your Days are Numbered* which, as the name implies, is about the statistics of death. The tagline reads, “You’ve got a 0.000043% chance of dying during this show.”

He claims that his favorite number is 3,435, because 3^{3} + 4^{4} + 3^{3} + 5^{5} = 3,435.

And he took two diametrically opposed careers — math teaching and stand‑up comedy — and morphed them into one.

What do you get when you cross a mathematician and a stand-up comic?

Matt Parker.

But Matt Parker is not only funny and warped. He’s also wicked smart. Check this out…

Being a math guy and wanna-be funny guy, I interviewed Matt with the hope that maybe I could learn a little.

**Popular belief holds that both Brits and mathematicians are notoriously unfunny. How do you explain your phenomenon?**

I am one of many counterexamples.

**Your show Your Days Are Numbered: the Maths of Death deals with the probability of dying in various ways. What’s your favorite statistic about death?**

You are more likely to die from falling out of bed than falling off a ladder or cliff.

**You’re clearly not dead, but have you ever had a near-death experience?**

I once nearly died trying to find the integer crossing point of two lines of latitude and longitude in the Australian desert. But I made it to the ‘confluence’ and back.

**As far as I know, you’re the first mathematician ever to do a national comedy tour. Tell us how this came to be. What was the trajectory?**

I was working as a stand-up comic in regular comedy clubs as well as being a maths teacher. Slowly, the two careers started to merge. In stand-up comedy, you cannot help but talk about what you are interested in, so I would talk about maths. I wouldn’t do maths jokes — they are notoriously unfunny — but I would use maths and being a maths teacher as the basis for my jokes.

Eventually I got a following for talking about maths and so my material could gradually get more and more nerdy. My maths tour show *Matt Parker: Number Ninja* contains a lot of maths, but it’s still a comedy show in its own right. You don’t need to be a mathematician to enjoy it — just like I enjoy political comedians without having a big interest in politics — but there is an extra layer of jokes for the extra-nerdy.

[Ed. note: The opinions expressed by Matt Parker about math jokes being “notoriously unfunny” do not necessarily reflect the views and opinions of the MJ4MF blog.]

**Why do you call yourself “the number ninja”?**

A mathematician is not someone who does lots of boring sums, like what most people remember from school maths. A mathematician is someone who plays with numbers and maths and tries to solve puzzles. The phrase “Number Ninja” helps to get this sense of playfulness across.

**What’s the funniest thing you’ve ever said during a lecture?**

I was once showing a spreadsheet which was an RGB digital photo of myself, turned into a series of conditionally formatted cells. I couldn’t help but say, “I’ve really exceled myself.”

**Who’s the funniest mathematician or professor you know? What’s the funniest thing that he or she ever said?**

A surprising number of stand-up comedians were once mathematicians. The fantastic Dave Gorman is always worth looking up. [Ed. note: You might like Dave Gorman’s bit about perfect numbers.]

**Where is it harder to be funny — on stage, or at the front of a classroom?**

The stage is far easier because you’re expected to be funny. The classroom is a place to communicate maths. There is a lot you can learn from performing comedy when you are in the classroom, but jokes are the very last thing. The real transferable skills from comedy to teaching are things like structuring a lesson and knowing how to pace a talk.

**What’s your favorite blog post that you’ve written for The Guardian? **

I am rather proud of Mobile Phone Masts Linked to Mysterious Spikes in Births.

*Matt Parker will be performing in the Festival of the Spoken Nerd in London through July 12.*

### One Joke Per Cent

So, I understand what Baltimore Ravens coach John Harbaugh meant when he said:

I never thought you could feel 100% elation and 100% devastation at the same time. But I learned tonight you can.

But it sure sounds to me like he has twice as much capacity for emotion as the rest of us. It reminds me of Yogi Berra’s famous quote:

Baseball is 90% mental, and the other half is physical.

Or the anonymous quote about our favorite subject:

Mathematics is 50% formulas, 50% proofs, and 50% imagination.

Dare to guess what percent of Americans wouldn’t be able to identify the math errors in those statements?

Here’s a good old-fashioned math joke involving percents:

What’s a proof?

One-half percent of alcohol.

And a slightly longer one:

“Statistics is wonderful!” said a statistician.

“How so?” asked his friend.

“Well, according to statistics, there are 42 million alligator eggs laid every year. Of those, only about 50% hatch. Of those that hatch, 75% are eaten by predators in the first 36 days. And of the rest, only 5% get to be one year old for one reason or another.”

“What’s so wonderful about that?”

“If it weren’t for statistics, we’d be up to our asses in alligators!”