diff --git a/docs/tutorials/Experimentalist.ipynb b/docs/tutorials/Experimentalist.ipynb
index 17a9e9355..cf85b6bcd 100644
--- a/docs/tutorials/Experimentalist.ipynb
+++ b/docs/tutorials/Experimentalist.ipynb
@@ -43,7 +43,7 @@
     "import numpy as np\n",
     "from sklearn.linear_model import LinearRegression\n",
     "from autora.variable import DV, IV, ValueType, VariableCollection\n",
-    "from autora.experimentalist.sampler.falsification import falsification_sample, falsification_score_sample"
+    "from autora.experimentalist.falsification import falsification_sample, falsification_score_sample"
    ]
   },
   {
@@ -151,7 +151,7 @@
     "X_prime = np.linspace(0, 6.5, 14)\n",
     "\n",
     "new_conditions = falsification_sample(\n",
-    "        condition_pool=X_prime,\n",
+    "        conditions=X_prime,\n",
     "        model=model,\n",
     "        reference_conditions=X,\n",
     "        reference_observations=Y,\n",
@@ -230,7 +230,7 @@
    "outputs": [],
    "source": [
     "new_conditions, scores = falsification_score_sample(\n",
-    "        condition_pool=X_prime,\n",
+    "        conditions=X_prime,\n",
     "        model=model,\n",
     "        reference_conditions=X,\n",
     "        reference_observations=Y,\n",
@@ -353,7 +353,7 @@
    "outputs": [],
    "source": [
     "new_conditions = falsification_sample(\n",
-    "        condition_pool=X_prime,\n",
+    "        conditions=X_prime,\n",
     "        model=model,\n",
     "        reference_conditions=X,\n",
     "        reference_observations=Y,\n",
@@ -517,7 +517,7 @@
    ],
    "source": [
     "new_conditions, scores = falsification_score_sample(\n",
-    "        condition_pool=X_prime,\n",
+    "        conditions=X_prime,\n",
     "        model=model,\n",
     "        reference_conditions=X,\n",
     "        reference_observations=Y,\n",
@@ -692,7 +692,7 @@
    ],
    "source": [
     "new_conditions = falsification_sample(\n",
-    "        condition_pool=X_prime,\n",
+    "        conditions=X_prime,\n",
     "        model=model,\n",
     "        reference_conditions=X,\n",
     "        reference_observations=Y,\n",