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Update bloom-filter.md
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content/develop/data-types/probabilistic/bloom-filter.md

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@@ -142,7 +142,7 @@ Just as a comparison, when using a Redis set for membership testing the memory n
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memory_with_sets = capacity*(192b + value)
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```
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For a set of IP addresses, for example, we would have around 40 bytes (320 bits) per element - considerably higher than the 19.170 bits per item we need for a Bloom filter with a 0.01% probability of false positives.
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For a set of IP addresses, for example, we would have around 40 bytes (320 bits) per element - considerably higher than the 19.170 bits per item we need for a Bloom filter with a 0.01% false positives rate.
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## Bloom vs. Cuckoo filters

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