what is the probablity of random pick up three points inside a regular triangle which form a triangle and contain the center of the regualr triangle
the three points are randomly picked within the regular triangle and then form a new triangle and the new triangle have to contain the center of the original regular triangle what is the probability









Note: This does not answer the question.
Call $B$ the boundary of the regular triangle $T$ and $O$ the center of $T$. Replace each point $P$ in $T$ by the unique point $Q$ on $B$ such that $P$ belongs to the segment $[O,Q]$. Here are some facts: (1) If some points $P_i$ are independent in $T$, the points $Q_i$ on $B$ are independent. (2) A triangle in $T$ with vertices $P_i$ encloses $O$ if and only if the triangle with vertices $Q_i$ does. (3) If $P$ is uniform on $T$, Thalès theorem implies that $Q$ is uniform on $B$. Unfortunately it is not so simple to determine what triples of points of $B$ enclose $O$.
One can also consider a circle $C$ with center $O$, for example the circle circumscribed to $T$, and replace each point $P$ in $T$ by the unique point $R$ on $C$ such that $P$ belongs to the segment $[O,R]$. In other words, $P$, $Q$ and $R$ are in this order on the same halfline issed from $O$. Then (1) and (2) above are still valid in the following sense: (1') If some points $P_i$ are independent in $T$, the points $R_i$ on $C$ are independent. (2) A triangle in $T$ with vertices $P_i$ encloses $O$ if and only if the triangle with vertices $R_i$ does. Unfortunately, the analogue of (3) fails. In fact, the very property (3) for the points $Q$ implies that the density of the distribution of $R$ on $C$ is not uniform (as @joriki explained): restricting things to one third of $C$ and locating points on this part of $C$ by an angle $\alpha$ between $(-\frac{\pi}3,\frac{\pi}3)$, the density of $R$ is proportional to $1/\cos^2\alpha$.
This is unfortunate since one can show easily that three points independent and uniform on $C$ enclose $O$ with probability $\frac14$. For future reference, here is the (classical) proof.
This might be explained in the book Geometric Probability by Herbert Solomon.
But all this does not answer the question asked.