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Statistics: Part 1, The Only Definition of Statistics You’ll Ever Need

Charlie Pabst

If you’re anything like me, you probably feel a little funny about how often you check your stats. I check them throughout the day, with a regularity I’m almost ashamed to admit. There’s even a particular stat program I use which plots out a sexy graph, above which are written the words: “Statistics updated every 24 hours.” That doesn’t keep me from checking it about three times a day.

Regardless of the social implications, we stat-freaks are on the right track. For whether you acknowledge it or not statistics are the very backbone of your business, your production, your income and pretty much everything else that matters. I use them (not just look at them) every single day, whether it’s at my blog or examining my design business.

What are statistics?

If you look up “statistic” in pretty much any dictionary, you’ll notice that even people who write dictionaries have bad days. A survey of dictionaries I have to hand uncovered the following definitions for the word “statistic”:

Dictionary.com – Numerical data
Websters – A numerical fact or datum
Dictionary.org - The practice or science of collecting and analyzing numerical data in large quantities, esp. for the purpose of inferring proportions in a whole from those in a representative sample.

There’s nothing wrong with those, really, aside from being absolutely useless. According to those definitions having 5 fingers on your hand or having a birthday on the 15th of May are statistics. Those sorts of useless definitions aren’t going to get us business folk anywhere. We need applicable data that we can put into immediate use.

A definition of “statistic” that doesn’t suck

I’ve got a ground-breaking business-oriented definition that will change your life. If you understand it in its entirety it will change the face of business as you know it. Yes, really.

Statistic : A quantity representing production over a certain time period, compared to the production of a previous identical time period.

That’s not Shakespearian in quality by any means, but it actually does something as a definition. Let’s break it down a piece at a time and see what it means and why it’s so useful.

“A quantity representing production…” - Whether you pour steel, hire personnel, write books or design websites you do something. You produce something. A statistic is, in part, a number that tracks such production. Examples:

“I poured 6 tons of iron ore.”
“I wrote 1,000 words.”
“I designed 5 websites.”

Not bad, but that’s still somewhat useless data. Those numbers tell you something was produced and that’s great, but there’s no time accounted for. Pouring 6 tons of ore or writing 1000 words may good if it happens in a day, but over 12 months that’s lousy production. Obviously the time part of the definition is important and starts to add to the complexion of its usefulness.

“A quantity representing production over a certain time period…” Now we’re getting somewhere. It’s getting better and more useful with every word, as seen by these examples:

“In December I sold 243 sweaters.”
“I wrote 1,000 words on Monday.”
“We sold 73 ebooks on the first day.”

These stats are now trying to tell us something, and in fact they’re doing a good job of it. We now know what happened and how long it took. If we were to apply this information towards our lives and business we’d be home free…almost. There’s one thing left to add:

“…compared to the production of a previous identical time period.”

There enters the real magic of statistics, the comparison.

If you’re tracking your production over the span of a five-day week, it’s really only going to make sense if you compare it to the production of another five-day period. If you design three websites one week and made some good cash, you’d want to duplicate or increase it the following week. It only makes sense.

Doing this gives you dual snapshots of how things are going now and how things were going then. You can easily see if you’re producing more than you were and performing more of the actions that really count.

The last thing I’d like to mention, though painfully obvious, is very important and is the reason we compare identical time periods. Doing so takes into consideration market fluctuations, such as Christmas and other holidays. To say I sold 243 sweaters in December really makes the most sense when compared NOT to November or July sales, but to December sales a year earlier. If you’re in a seasonal business you’ll have such spikes and troughs. The idea with statistics is to track the spikes and troughs in relation to each other, not other unrelated time spans.

Now, I realize this isn’t brain surgery and that I’ve now beaten this horse thoroughly. Many, if not all of us, have an inherent sense of production, income, etc. We know when we’re productive, we know when we haven’t done jack and we know when we’re spending a little more money than we’re taking in.

While stats can show us such phases with frightening clarity, the real use of them is in breaking those big pictures down into smaller actions. The smaller actions, remember, are what create the greater trends. In case you missed it, that right there was a fairly unmistakable hint that what you do every day matters, and determines what’s going to happen next week.

Now that you’ve got an infinitely useful definition of statistics, the next post will feature how to put these stats directly and immediately into action in your own life and business. You’ll learn why you never again have to say to yourself, “I just don’t get it. Where’s all the time and money going? Where are all my clients?”

Leave a Comment
  1. Ultimately statistics is about making good decisions in the face of uncertainty. When you look at it that way, the subject is far more interesting than the typical dreary, bewildering college statistics class.

  2. John -

    Whew! Am I glad to hear you say that. I was (and still sort of am) afraid of this post and whole series going over like a lead balloon. But you’re right! I hated stats and economics in college. In fact, I flunked them both because I stopped showing up. Now I use them every day and wouldn’t know what to do without them…go figure.

    Thanks for commenting, dude!

  3. Interesting post. I’m looking forward to the other parts.

    Kind of hard to believe Dictionary.com and Websters have such limited definitions for the word statistic.

    And here’s a stat worth following - how many commenters to this post will be named John?

  4. Apologies for being off topic but setting a line-height of 0 for the anchors in the sidebar of the Charfish Design site makes for some unattractive presentation in Opera and Safari.

  5. Wow, really in depth. Thank you so much for this!
    Can’t wait for the second part!

    Keep rocking!

    Aloke Pillai

  6. John Faulds -

    Fixed, thanks for the heads up!

    Brand new site as of…about 26 seconds ago. Testing testing testing. My life is testing.

  7. Tell me, is there any stat program better than Google analytics. Can anyone direct me to any good review on this.

  8. As someone who works with statistics for a living, I have two things to say:

    1. LOL
    2. There are three kinds of lies: lies, damned lies and statistics.

    Statistics are useless unless they’re in a qualitative context. You might be clever enough to determine your sweater inventory liquidation metric from 07 to 08 but do you know why it increased from one year to the next? If not… FAIL.

    Always be aware of cause and effect relationships. Your statistics might lead you to believe that your sales of sweaters are up because you joined a business referral network when in fact, sales might be up because there was a cold snap this year. My take home message - don’t bet the farm on statistics.

  9. Interesting post. Definitely looking forward to the next one!

  10. I’ve heard that 75% of statistics are only true 7 times out of 10. :)

  11. A good primer. I see where this is going. So many of us are excellent at creating goals and working hard within our freelance businesses but we are missing an extremely important fundamental: measurement. We have to constantly be in check of our goals and current progress by using statistics.

    Think about it. In Football, the game is no fun if no one keeps score. The same applies to your business.

  12. Its great to see that I am not the only one using google analytics on a daily basis. I use it to gauge my sites progress. Since I am still in the earlier stages of development I am constantly checking my stats against search engine submissions and other methods I am using.

    Resno- resnodesigns.com

  13. Good stuff! and certainly a fresh topic for this blog. I look forward to reading more indepth when it comes to hand.
    In advertising we are taught that 50% of all advertising works - but no-one knows which 50%. Perhaps this will change now that we have access to more stats than every before…well, I can hope!!

  14. very interesting and excellent-

  15. Valuable thoughts on statistics. Thanks. Particularly on comparing relevant data, as otherwise they become inaccurate. For testing the website statistics I know a lot of people use a multi variable testing software to even test the punctuation marks effectiveness in copy, ie how much was sold using that variable. James Brausch sells one that’s got a good reputation.

    All the best for the new year

    Lewis

  16. I agree with your core point — statistics are only meaningful and useful with suitable context. In many cases (such as the production rate statistics you use as your main example), this context is the “identical time periods”, though as Aaron points out, you need to be aware of non-time-based differences too (such as temperature, when thinking about sweater sales). Certainly, in a marketing context, the key question is “did I sell more items/convert more customers after a marketing campaign compared to an equivalent period prior to the campaign”, but you do have to think carefully about that “equivalent”.

    Sometimes the raw statistics (I make £23.17 per sale) are useful. Sometimes, it’s the direct comparisons (we sold more sweaters this year than last year) that are useful, and sometimes it’s the aggregate behaviour or trends (sales are going up, 15% of customers who bought a sweater last year bought a new one this year) that are useful.

    In any case, it’s important to identify what it is that you’re trying to measure, in order to work out which individual statistics to care about.

  17. Great post. I especially like “a quantity representing production over a certain time period”.

    I can’t speak about the broader aspects of statistics like other people here but I think it’s better to have statistics than to not have statistics.

    In the context of online promotion I think measurement is crucial. I struggle initially to get clients onboard with the concept of measuring and comparing things such as traffic and conversion. How can they tell if their efforts are making a difference? How can they troubleshoot problems or weak spots? Guesses and qualitative judgments can be helpful but you can’t rely on them. Statistics give you something concrete to work with. Also, I’ve noticed that it is often better to present bad news with statistics than with qualitative assessments. It keeps things neutral and less emotionally charged.

  18. Looking forward to that next post!

  19. Thanks for the humorous post Charie, it was a great way to start my morning off.

    “While stats can show us such phases with frightening clarity, the real use of them is in breaking those big pictures down into smaller actions. The smaller actions, remember, are what create the greater trends. In case you missed it, that right there was a fairly unmistakable hint that what you do every day matters, and determines what’s going to happen next week.”

    Struck me as I read it. I’ve approached stats more as a gauge of ‘Where Do I stand Now’, and forgotten their other (more valuable) use: ‘How did I get here?’.

    I too check my stats a few too many times a day, despite that pesky 24 hour update clock. Maybe now I will spend a few minutes on my second visit to break down some of those statistics, and correlate them to positive and negative actions I took that week.

    Thanks again for a surprisingly eye opening post on stats,

    Chris

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