Be Aware of Selection Bias
I wrote recently about the mistaken perception of older members not being tech savvy. (You can read that here.)
One of my astute readers, Will Slade at Protech, pointed out the following (I'm paraphrasing): "It's possible that the reason many associations perceive older members to be not tech savvy is that the older members will complain while the younger members will just walk away."
This is an important point! Which leads us to selection bias.
Selection bias occurs when we don't have a truly "random" selection of data points under consideration. In the case above, only the older people are complaining and so the assumption is "Our older members are having more trouble." This may or may not be true, but because they're the only ones we're hearing from, we're drawing conclusions based on incomplete data.
I believe associations (and ALL humans) make this mistake quite frequently. Between selection bias and recency bias, too often we're making decisions about design, programs, pricing, and more, based on faulty or incomplete data.
So be careful about how you're using the data you have on hand to make decisions. If the data is incomplete or poorly collected, it may steer you in the wrong direction!
Wes's Wednesday Wisdom Archives
Eyes wide open and affirmative decision-making
Eyes wide open and affirmative decision-making When I work with my clients on any type […]
Honoring an industry legend
Honoring an industry legend I’m taking a break from my usual data management tips to […]
Never burn a bridge
Never burn a bridge My children have reached the age where they have, or are, […]
You CAN compete with the big guys…
You CAN compete with the big guys… In my experience, associations often undersell their actual […]
Join (or start) your users group!
Join (or start) your users group! Today’s message is simple: If the AMS you’re using […]
They don’t care, until they care.
They don’t care, until they care. One of the more common questions I get from […]
Longfellow and data management
Longfellow and data management “We judge ourselves by what we feel capable of doing while […]
Do you really need all that historical data?
Do you really need all that historical data? A question I’ll often get from my […]
AI actually requires thinking
AI actually requires thinking “I don’t think AI introduces a new kind of thinking. It […]
It’s not the mistakes, but how you respond
It’s not the mistakes, but how you respond Recently a client was complaining about a bug that […]