The Numbers Game

I just finished reading The Numbers Game: The Commonsense Guide to Understanding Numbers in the News, in Politics, and in Life by Michael Blastland. I really enjoyed reading this book.

This book helps ground the reader in sound thinking after what we read and see in the news. As I read this book, I thought about news coverage of the COVID-19 pandemic and the coverage of the 2020 election/polling. I hope to be able to employ the ideas from this book and techniques for number analysis to better understand current and historical events.

The book reminds us that:

“Numbers, pure and precise in abstract, lose precision in the real world.”

Throughout the book, there are several questions we can ask ourselves to put numbers in perspective:

Question: Is this number diamond-hard or strawberry jam?

Numbers appear to be quite concrete but in reality are not. How squishy is the number defined?

Definitions matter.

If x, y, z are counted, how sure are we that a, b, c are or are not (or should, or should not) be counted?

If it has been counted, it has been defined, and that will often have meant using force to squeeze reality into boxes that don’t fit.

Always think of the limitations.


Question: Is this a big number?

Change big numbers into human relatable numbers. Here are a couple tools to keep in mind to put numbers into perspective:

    • Millions – Think a million seconds is about 11.5 days
    • Billions – Think a billion seconds is almost 32 years!
    • For US numbers: Think 15.6 billion = US population (300 M) * 52 weeks (1 yr)
      • Can divide any public spending announcement by 15.6 billion to see its weekly worth shared out among us.

“We need to think, just a little, and to make sure the number has been properly converted to a human scale that recognizes human experience.

Humdrum Principle: Harm depends on how much of a given danger people are exposed to, and low levels implies no harm at all

We all think of this multiple times a day – consider head injuries or toxins in foods, etc.

When we read headlines about toxicity, think, “In what proportions?” The dose is critical! Ask how the risk is shared out among the affected population?


Question: Is this the man, or the dog?

Think of a man walking a dog at night on a long leash and fluorescent collar – how do you know how fast the man is walking and when he changes directions?

Numbers go up and down all the time.

Remember regression to the mean: When the dog reaches the end of his leash, he runs back. Things tend to move back to the average.

When asking why something happened, chance is the potential explanation most often ignored.

Be on guard for chance – be aware of what chance is capable of. Randomness exists everywhere.


Question: What colors are blanked out?

Remember that averages play tricks:

  • They blend life’s lumps and bumps leading you to forget the variations behind them
  • They pass for typical when they may be odd

“Whenever you see an average, think: “white rainbow,” and imagine the vibrancy it conceals.”

Types of Averages:

  • Mean: Average
  • Median: Midpoint of a distribution (half are above and half below)
  • Mode: Most common number

Recognize that Averages are an Abstraction

We will be misled if we look at averages without knowing what they are abstracted from.


Measurement itself is not a passive exercise

“…it [the act of measuring] often changes the very thing we are measuring”‘

    • What we count, will count.
    • What we don’t, won’t.

“Numbers are pure and true; counting never is.”


Question: What was the number before?

Uncertainty is a fact of life.

Size matters to risk: Usually bigger is worse risk than smaller

Percentage changes depend entirely on where you start: Look for the number at the beginning or at the end, not just the difference

Try to rephrase things to a natural frequency to help remove some abstraction

Natural frequency = Number of people affected in every 100


Sampling – imperfect but the best we can do

All kinds of characteristics can, and do, cause bias

“Bias is a risk, not a certainty. Being wise to that risk is not cynicism.”


“As long as we know something that is relevant to the question, we should be able to have a stab at an answer.” – Like how many gas stations are in Florida?

“When a number appears that’s out of line with others, it tells us one of three things:

    • a) this is an amazing story,
    • b) the number is wrong,
    • c) it has been misinterpreted.”

Apply these to any shocking news item – What is most likely?


Question: Is the comparison of like with like?

Watch for comparisons that look similar but are not actually true.

Correlation does not equal causation.

Plausibility does not mean truth.