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7 MAR
When the Bell Curve Actually Fits
The normal distribution is the most famous shape in statistics. It's also the most assumed. Here's what it actually means and when your nonprofit data follows it.
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6 MAR
The Hidden Denominator
Your click rate is 3%. Or is it 12%? Both numbers are correct. Conditional probability explains why the answer depends entirely on who you're counting.
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6 MAR
The Stupidest Person in the Room
I have two university degrees, I'm finishing a third, and I was in Germany's gifted scholarship program. And yet I regularly sit in meetings understanding the least. That used to embarrass me. Now people tell me it's one of my biggest strengths.
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5 MAR
Why Your Prospect List Is Full of False Alarms
Your wealth screening tool says 200 donors are major gift prospects. But most aren't. Bayes' theorem explains why even accurate tools produce misleading results when what you're looking for is rare.
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4 MAR
The Gift That Broke the Spreadsheet
One enormous donation just landed in your data. Is it a data entry mistake, a once-in-a-lifetime windfall, or a sign that your metrics have been wrong all along? Outlier detection helps you figure out which.
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4 MAR
When Anyone Can Build Anything
AI tools let anyone ship working software in hours. For nonprofits that have always been resource-constrained, the old excuses no longer hold. The question now is who moves first.
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3 MAR
What Goes in the Empty Cells?
Your donor database has gaps. You can delete the incomplete rows, fill them with averages, or let the rest of the data guide your guesses. Each choice reshapes what the numbers tell you.
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2 MAR
The Donors Who Didn't Answer
You sent a survey to 2,000 donors. Only 800 responded. The average satisfaction score looks great. But whether you can trust it depends entirely on why the other 1,200 stayed silent.
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1 MAR
Not All Numbers Are Created Equal
Your spreadsheet says the average program area is 2.4. But program areas are labels, not measurements. Before you compute anything, check what kind of data you're actually working with.
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28 FEB
What Your Retention Rate Isn't Telling You
Your overall retention rate is 38%. But when you split donors by channel, three very different stories emerge. Cross-tabulations reveal patterns that single numbers hide.
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27 FEB
A Picture Worth a Thousand Averages
Before you compute a single average, look at how your data is distributed. Frequency distributions and histograms reveal what summary statistics compress.
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26 FEB
Not Everything Is a Bell Curve
Your data has a shape, and it's probably not the symmetrical bell curve you're picturing. Skewness and kurtosis describe what's really going on.
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25 FEB
What Does It Mean to Be in the Top 10%?
Your board wants to know who your 'top donors' are. Percentiles and quartiles give you a precise way to answer.
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24 FEB
Two Campaigns, Same Average, Totally Different Stories
Two email campaigns both average a 4% click rate. But one is reliable and the other is chaos. Standard deviation explains why.
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23 FEB
Where Did All That Money Go?
Your average donation is €47. But most donors give €15. What's going on? An introduction to mean, median, and mode.
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