Measure for Minimum n/sample size

Hi all, I have a tricky issue: how best to suppress low sample sizes which can be inferred from the present of other data? For example, when a male N is 2, and the total of staff is 9, then even when the male count of 2 is suppressed (disincluded), if the female count of 7 is provided then the male count can be readily inferred. (And this is an even simpler example as it's a binary category (for us) as opposed to multiple categories for things such as race/ethnicity and management band.

In order to preserve personal identity markers, I want to suppress any count <5. Looking at these two forum posts (https://community.powerbi.com/t5/Desktop/Exclude-cells-with-small-sample-sizes/m-p/176805 & https://community.powerbi.com/t5/Desktop/applying-filters-with-minimum-sample-size/m-p/659289) I am using the following DAX, which works well when substitute in the value portion of the visualization:

Suppress_Low_Sample = IF(COUNTAX(WORKER_AVG_HC,WORKER_AVG_HC[EEID])<=4, "***", COUNTAX(WORKER_AVG_HC,WORKER_AVG_HC[EEID]))

Voila, I got from this 

 to this

Now, my next issue should be apparent. With just a little bit of mental math, one is able to determine the suppessed sample size of 3 is actually 3 -- by subtracting 5 from 8. I've been toying around with various DAX but haven't landed on a workable solution.

I found a potential visual filter solution (https://community.powerbi.com/t5/Desktop/applying-filters-with-minimum-sample-size/m-p/659289), but it's not quite working for me:

MeasureforVisualFilter =
IF (
    CALCULATE ( COUNTROWS ( tableName ), ALLEXCEPT ( tableName, TableName[City] ) ) < 5,
    1
)

 I'd appreciate any thoughts or ideas to make this work, both for binary instances and cases where there are multiple categories to take into account.