left -> right

Author: drbenvincent

docs/source/quasi_dags.ipynb

@@ -415,7 +415,7 @@
                 "\n",
                 "If we tried to identify the causal effect of $Z \\rightarrow Y$ by conditioning on the running variable ($RV=rv$), we would eliminate any variation in $Z$ or $Y$ caused by $RV$. And because $Z$ is constant for any given value of $RV$, then the $Z \\rightarrow Y$ path would disappear and we could not estimate the causal effect.\n",
                 "\n",
-                "Identification of the causal effect of $Z \\rightarrow Y$ is done with a limiting graph (left). The $RV$ node is replaced by a subset of the data where $RV$ is close to the cutoff value $\\lambda$, hence the name \"limiting graph\" and the symbol $RV \\rightarrow \\lambda$.\n",
+                "Identification of the causal effect of $Z \\rightarrow Y$ is done with a limiting graph (right). The $RV$ node is replaced by a subset of the data where $RV$ is close to the cutoff value $\\lambda$, hence the name \"limiting graph\" and the symbol $RV \\rightarrow \\lambda$.\n",
                 "\n",
                 "In the limit, this eliminates variation in the running variable and so breaks the $RV \\rightarrow Y$ path. The causal effect of $Z \\rightarrow Y$ can be estimated by comparing the outcomes of units just above and just below the cutoff value $\\lambda$.\n",
                 "\n",