diff --git a/training_bayesian/1_intro_bayesian.ipynb b/training_bayesian/1_intro_bayesian.ipynb
index 2d678ff..c1bf832 100644
--- a/training_bayesian/1_intro_bayesian.ipynb
+++ b/training_bayesian/1_intro_bayesian.ipynb
@@ -749,8 +749,8 @@
     "| $\\theta$          | $\\mathcal{L}$ | prior | unnormalized posterior | posterior            |\n",
     "|------------|----------|-------|------------------------|----------------------|\n",
     "| 0.3          | 0.09      | 0.33  | 0.33 * 0.09 = 0.03     | 0.03 / 0.326 = 0.09 |\n",
-    "| 0.5          | 0.025      | 0.33  | 0.33 * 0.025 = 0.083     | 0.083 / 0.326 = 0.26 |\n",
-    "| 0.8          | 0.064      | 0.33  | 0.33 * 0.064 = 0.213     | 0.213 / 0.326 = 0.65  |\n",
+    "| 0.5          | 0.25      | 0.33  | 0.33 * 0.25 = 0.083     | 0.083 / 0.326 = 0.26 |\n",
+    "| 0.8          | 0.64      | 0.33  | 0.33 * 0.64 = 0.213     | 0.213 / 0.326 = 0.65  |\n",
     "| marginal p | -        | 1     | 0.326                  | 1                    |"
    ]
   },
@@ -1049,7 +1049,7 @@
     "\n",
     "There will be a new referendum about a possible 'Nexit'.\n",
     "\n",
-    "People have to vote $1$ for staying and $0$ for leaving.\n",
+    "People have to vote $0$ for staying and $1$ for leaving.\n",
     "\n",
     "Maurice de Hond has done a survey and gives a probability of \n",
     "\n",
@@ -1619,7 +1619,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,