Compared to What?
Published on July 3, 2008 (⻠November 19, 2022), filed under Design (RSS feed for all categories).
âŠis probably one of the most important questions there is. âCompared to what?â is the question that should be answered every time it is about data, be it through charts, in newspapers, on websites, or in conversations. Yet it is rarely asked, rarely answered, and people end up with less or even false information.
The first time I heard about âcompared to what?â was when reading Tufte who writes about it in the context of information design. Ever since I am reminded of it when reading news. I wanted to write about it when coming across Cory Doctorowâs article on rare eventsâit may be based on a misconception as people probably arenât that bad in understanding rare incidents, but donât usually get an answer to the question: âCompared to what?â
âCompared to What?â in Action
Letâs go through a couple of examples.
For instance, you read about 100 people dying in car accidents each month in some city. Horrible. You probably donât want to enter a car anymoreâunless you ask for additional data. And asking how many people actually live in the city in question might be a good start. What does it mean when the answer is 2,000, talking a small village, or 4,000,000 residents, talking a large city? How do you judge these 100 car accidents in each case? âCompared to whatâ is the difference between staying in your apartment all day, or suing the journalist because of freaking everybody out for no reason.
Figure: Data comparison. (Copyright Kaiser Fung.)
Another example is your companyâs performance. Letâs say that last year, your sales dropped by 10%. Bad. âCompared to what?â might make you have a closer look at your competitorsâ performance. Does your 10% decrease change meaning when all your competitors lost 25% on average, or when sales generally went up 10%? Of course; your company might perform very well despite the observed development, or really bad. So again, panicking because of a single number that lacks a link to other metrics is not a good choice.
Another example involves, dare I say it, terrorist acts. We hear about suicide attacks and casualties, but we never ask how rarely they occur, in what context they happen, and how unlikely it is to be affected by an attack. Yet governments cut civil rights at an alarming rate, replacing the illusion of a threat by an illusion of safety.
Conclusions
Two more things:
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âCompared to what?â should always be answered. One might, by default, consider newspaper articles unprofessional that donât provide data for comparison. Itâs not acceptable that news sources fail to provide what is necessary to assess the data being presented.
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There is no obligation to ask âcompared to what?â only once. You can and sometimes should go for more information in order to be able to learn and act on it.
The simple conclusion: Ask âcompared to what?â when being presented with data, and make sure to answer âcompared to what?â when displaying data.
About Me
Iâm Jens (long: Jens Oliver Meiert), and Iâm a frontend engineering leader and tech author/publisher. Iâve worked as a technical lead for companies like Google and as an engineering manager for companies like Miro, Iâm a contributor to several web standards, and I write and review books for OâReilly and Frontend Dogma.
I love trying things, not only in web development (and engineering management), but also in other areas like philosophy. Here on meiert.com I share some of my experiences and views. (Please be critical, interpret charitably, and give feedback.)
Comments (Closed)
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On July 3, 2008, 16:14 CEST, Jonas said:
Great article.
Itâs something people should be more critical about because it is often used for propaganda or for other political aims â like cutting the civil rights or letting the political achievements of the other parties seem worthless or not existent.
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On July 3, 2008, 16:28 CEST, Duluoz said:
Great article Jens! I have theory as to why many people, at least in American culture, are hesitant to ask this very important question as well as similar questions of âWhyâ. I donât know if they show these cartoons, etc., in European countries, but have you seen a cartoon where there is a child of around 3 or 4 years old who is asking âWhyâ over and over to everything a parent is saying? The parent then gets more and more aggravated and eventually explodes in frustration telling the child to stop asking questions? Take that, along with every teacher you ever had giving you the âmy God is that child ever stupid for asking thatâ, and youâve got a pattern of donât ask, you should take it at face value, behavior/mentality.
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On July 3, 2008, 23:55 CEST, Neovov said:
Yeah, great article, but compared to what? đ
I asked myself this question before reading your (nice) post and Iâm pleased to read about it, especially here!
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On July 4, 2008, 11:34 CEST, Steve Baty said:
Jens, Iâm happy to see you raise this issue. Itâs increasingly common to see data presented in a way that completely fails to provide the reader with the ability to critically assess the importance and severity of the issue. Meaningless statistics are everywhere, and donât just arise in the absence of comparative data.
We need, as consumers of data (in the media, in reports, in research) to critically question the meaning of that data: does it provide illumination or, like the drunk & the lightpost, serve only for support.
You see examples of this when, for example, one metric is compared to another, unrelated data point. An example I like was sent to me from a charity: it compared the mean for one group, with the extreme upper value of a second group (hoping you would not notice the sleight of hand).
You also see it when two averages are presented without any mention of standard error, sample size, or variance. Weâre seeing it at the moment with the discussions around the price of oil - with no mention of the effect the decline in the value of the US dollar is having on the benchmark prices. It makes for better headlines if we leave out that ‘complicatingâ factor. Which is not to deny the rise in the real price of oil, but a discerning reader should be made aware of these issues.
As a society our media have trained us to look for ‘headlineâ numbers - the single number that somehow captures everything we ‘need to knowâ, and to trust that thereâs nothing left unsaid. And we automatically treat these figures as authoritative, although theyâre often patently misleading.
We need to fight this trend, and Iâm pleased to see you raise the topic for debate.
Steve
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On July 4, 2008, 16:09 CEST, Rob said:
Great article Jens. Working in a corporate environment data interprets are often looked at in isolation. Time to ask: âCompared to What?â
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On August 1, 2008, 23:28 CEST, lazar said:
Itâs also important to ask âHow?â and âWhy?â. Sometimes even âWhere?â and âWhenâ?
How do 100 people die in car accidentsâthat is, how do those accidents happen? Maybe itâs because there are gang fights, maybe because people in that city like to drive some unsafe car model. Or maybe DUI limit is lest strict.
But yes, asking questions is always important.
ps. i can see that you posted quite a few interesting entires since the last time i visited.
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