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Survivorship bias works by omission, not distortion. The cases that would complicate your conclusion were never hidden or covered up: they simply never generated a data point to include, because a failure usually stops being tracked the moment it happens. What's left behind looks complete because nothing is visibly missing from it.
For a leader, this shows up as false confidence in a shortlist. You compare your best vendors, your top performers, or your longest-running strategies, and the pattern you find feels earned, because every case in front of you supports it. The problem was never the analysis: the sample was never the whole population to begin with.
Survivorship bias is a close relative of confirmation bias, though the two fail in opposite directions. Confirmation bias skews what you go looking for once you already have a hunch. Survivorship bias skews what's available to find in the first place, since there was nothing left to search for.
The practical tell is a comparison with no losers in it. If every case in a review, a shortlist, or a "what worked" retrospective turned out well, the missing question isn't what these cases have in common. It's who else tried the same thing and isn't in the room to be counted.
In 2006, my results were strong enough that Gary, our regional sales manager, started sending every new salesperson out with me, assuming that watching me close deals would teach them to do the same. What they saw was the sale. What they never saw was the preparation behind it: the analysis of which lines were selling against which weren't, and months of previous visits that meant I knew a customer's business better than any competitor did. Gary was looking at the one salesperson still standing and reasoning backwards from the result, without ever seeing the groundwork that produced it. The thing he wanted them to copy was never visible in the room he'd put them in.