\subsection{Covering the region of dominant shear} \label{sec:small-section-shear-region} The statistical construction on a shear layer required at least one weak wall to be smaller than a prescribed power of the layer scale. The remaining points have both weak walls bounded below. Their logarithmic coordinates therefore occupy a finite rectangle, whose area grows only quadratically in the logarithm of the scale. This gives a finite excluded flux on the entire region where shear dominates the weak walls. For $y=(s,\beta_2,\beta_3)$ write $n_i=e^{-\beta_i}$. Given $a>0$, $\varepsilon\geq0$ and $P\geq0$, set \begin{equation} \begin{split} \mathcal L_a^{\mathrm s} &=\{y:a\leq|s|\leq2a,\quad n_2,n_3\leq2\varepsilon a\},\\ \mathcal U_a^{\mathrm s} &=\{y\in\mathcal L_a^{\mathrm s}:n_2>a^P,\ n_3>a^P\}. \end{split} \label{eq:shear-region-unselected} \end{equation} Both sets are Borel. Outside $\mathcal U_a^{\mathrm s}$, a point of $\mathcal L_a^{\mathrm s}$ satisfies $\min\{n_2,n_3\}\leq a^P$ and hence belongs to one of the signed families of Section~\ref{sec:small-section-signed-return}. \begin{lemma} \label{lem:shear-unselected-flux} If $00$, an axis frame $\mathsf A$, and $(B,Y)\in\mathcal S_{\mathrm{stat}}$ such that \begin{equation} \iota_+(Y)=\operatorname{proj}(\mathsf A\phi_t x). \label{eq:statistical-entrance} \end{equation} Corollary~\ref{cor:complete-eras-from-survivor} then provides successive complete eras on this orbit, all six statistical limits, and entrance times tending to infinity. Define the full region of dominant shear by \begin{equation} \mathcal B^{\mathrm s}(d,\varepsilon) =\{y:0<|s|\leq d,\quad n_2,n_3\leq\varepsilon|s|\}. \label{eq:shear-region} \end{equation} The half-open intervals $(a_j,2a_j]$ partition $(0,d]$. Indeed, successive powers of $1/2$ place every $|s|/d\in(0,1]$ in exactly one such interval; their endpoint convention prevents double counting. Consequently the Borel sets \begin{equation} \mathcal B_j^{\mathrm s} =\{y:a_j<|s|\leq2a_j,\quad n_2,n_3\leq\varepsilon|s|\} \label{eq:shear-region-annuli} \end{equation} partition $\mathcal B^{\mathrm s}(d,\varepsilon)$, and $\mathcal B_j^{\mathrm s}\subset\mathcal L_{a_j}^{\mathrm s}$. \begin{theorem} \label{thm:full-shear-region-statistics} Fix the statistical parameters and cap of Theorem~\ref{thm:finite-failure-layer}. There is $h_*>0$ such that, for $03$, $D>4$ and $P>6D+2$, there is $d_*>0$ such that every $0