Suppression of Rare Combinations
A privacy method that removes or masks data records/fields that become identifying due to rare attribute combinations.
What This Really Means
This is especially important for small samples, small countries/regions, or minority subgroups where uniqueness is common.
Suppression can be paired with aggregation/coarsening and controlled access to protect users while allowing responsible research.
Examples
Masking cells where fewer than a minimum number of users appear
Removing an uncommon job title from exports
Suppressing cross-tabs that reveal unique combinations.
Common Misunderstandings
Tap each myth to reveal the reality
Reality: Suppression isn’t automatically data manipulation and always wrong, and Suppression of Rare Combinations is about a privacy method that removes or masks data records/fields that become identifying due to rare attribute combinations.
Reality: Suppression of Rare Combinations describes a privacy method that removes or masks data records/fields that become identifying due to rare attribute combinations, so it doesn’t mean that rare combinations don’t matter if names are removed.
Reality: More accurately, Suppression of Rare Combinations refers to a privacy method that removes or masks data records/fields that become identifying due to rare attribute combinations, and suppression alone solves privacy doesn’t follow from that.
Reality: Suppression of Rare Combinations describes a privacy method that removes or masks data records/fields that become identifying due to rare attribute combinations, so it doesn’t mean that suppression makes findings invalid automatically.
Related Terms
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Inside LoveIQ
We identify patterns related to Suppression of Rare Combinations by analyzing responses in our assessment modules, helping you understand your unique relationship dynamics.
Sample visualization of a gap metric.
“You don't need to label yourself. These terms help describe patterns — not define you.”
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