To find the simulated probability of the event "TT" (both coins showing tails), we need to count the number of times "TT" appears in the given simulation results and then divide that by the total number of trials (25 in this case).
From the simulation results, we have the following outcomes:
\[
\text{results} = \begin{bmatrix}
T H & T T & T & H H & T \\
H H & H H & H H & H T & T H \\
T T & T T & T T & T H & T H \\
H H & H T & H T & H T & T H \\
H H & H H & H H & H H & H H
\end{bmatrix}
\]
We flatten this list to count the occurrences of the outcome \( T T \). The flattened results are:
\[
\text{flattened\_results} = [T H, T T, T, H H, T, H H, H H, H H, H T, T H, T T, T T, T T, T H, T H, H H, H T, H T, H T, T H, H H, H H, H H, H H, H H]
\]
Counting the occurrences of \( T T \), we find:
\[
\text{count\_tt} = 4
\]
The total number of trials conducted in the simulation is:
\[
\text{total\_trials} = 25
\]
The simulated probability \( P(T T) \) is calculated using the formula:
\[
P(T T) = \frac{\text{count\_tt}}{\text{total\_trials}} = \frac{4}{25} = 0.16
\]
The simulated probability of the event \( T T \) is
\[
\boxed{0.16}
\]