Before revision:  We believe that due to practicality and performance, PWS may become a method of choice in applications where privacy is desired.abstract 
After revision:  We believe that due to practicality and performance, PWS may become a method of choice in applications where privacy is desired.abstract \%-300\% increase in key reporting for common Zipfian frequency distributions and accuracy for \times 2- 8 lower frequencies in estimation tasks. Moreover, PWS is applied as a simple post-processing of a non-private sample, without requiring the original data. This allows for seamless integration with existing implementations of non-private schemes and retaining the efficiency of schemes designed for resource-constrained settings such as massive distributed or streamed data. We believe that due to practicality and performance, PWS may become a method of choice in applications where privacy is desired.