Let $\text{'}$L$\text{'}$ reflect a COVID$-19$ infection circumstance and $\text{'}$M$\text{'}$ a positive rapid test result.Acknowledging that the test is accurate P$($MIL$)$ in $65\%$ of cases, and with the infection frequency P$($L$)$ at $2\%,$ and the general test positivity P$($M$)$ at $70\%,$ Bayes' theorem allows the determination of a true infection given a positive test P$($L$/$M$).$ Inserting the figures yieldsrutohThe social comparison