diff --git a/lm_survey/survey/survey.py b/lm_survey/survey/survey.py
index 15f54f0..61eab71 100644
--- a/lm_survey/survey/survey.py
+++ b/lm_survey/survey/survey.py
@@ -462,9 +462,7 @@ def to_dict(self) -> typing.List[typing.Dict]:
         return [variable.to_dict() for variable in self.variables]
 
     def iterate(
-        self,
-        n_samples_per_dependent_variable: typing.Optional[int] = None,
-        n_cull_sampled_below: typing.Optional[int] = None,
+        self, n_samples_per_dependent_variable: typing.Optional[int] = None
     ) -> typing.Iterator[DependentVariableSample]:
         if n_samples_per_dependent_variable is None:
             n_samples_per_dependent_variable = len(self.df)
@@ -473,8 +471,6 @@ def iterate(
             key: 0 for key in self._dependent_variables.keys()
         }
 
-        dv_samples = []
-
         # The index from iterrows gives type errors when using it as a key in iloc.
         for i, (_, row) in enumerate(self.df.iterrows()):
             try:
@@ -511,7 +507,7 @@ def iterate(
                     correct_completion=correct_completion,
                 )
 
-                dv_sample = DependentVariableSample(
+                yield DependentVariableSample(
                     variable_name=name,
                     question=dependent_variable.to_question(row),
                     independent_variables=independent_variables,
@@ -519,33 +515,9 @@ def iterate(
                     prompt=prompt,
                     completion=completion,
                 )
-                if not n_cull_sampled_below:
-                    yield dv_sample
-                else:
-                    dv_samples.append(dv_sample)
 
                 n_sampled_per_dependent_variable[name] += 1
 
-        if n_cull_sampled_below:
-            # print all n_sampled_per_dependent_variable < n_cull_sampled_below
-            print(
-                "\n".join(
-                    [
-                        f"{name}: {n_sampled_per_dependent_variable[name]}"
-                        for name in n_sampled_per_dependent_variable.keys()
-                        if n_sampled_per_dependent_variable[name] < n_cull_sampled_below
-                    ]
-                )
-            )
-            # Remove any dependent variables that were sampled below the threshold.
-            dv_samples = [
-                dv_sample
-                for dv_sample in dv_samples
-                if n_sampled_per_dependent_variable[dv_sample.variable_name]
-                >= n_cull_sampled_below
-            ]
-            yield from dv_samples
-
     def mutual_info_stats(self, include_demographics=False) -> pd.DataFrame:
         mutual_info_dvs = {}
         independent_variable_names = [iv.name for iv in self._independent_variables]