diff --git a/src/lib.rs b/src/lib.rs
index 8fbf813..c4bfdaf 100644
--- a/src/lib.rs
+++ b/src/lib.rs
@@ -201,7 +201,9 @@ pub use param::ParamValue;
 pub use parameter::{
     BoolParam, Categorical, CategoricalParam, EnumParam, FloatParam, IntParam, ParamId, Parameter,
 };
-pub use pruner::{MedianPruner, NopPruner, PercentilePruner, Pruner, ThresholdPruner};
+pub use pruner::{
+    MedianPruner, NopPruner, PatientPruner, PercentilePruner, Pruner, ThresholdPruner,
+};
 pub use sampler::CompletedTrial;
 pub use sampler::grid::GridSearchSampler;
 pub use sampler::random::RandomSampler;
@@ -224,7 +226,9 @@ pub mod prelude {
     pub use crate::parameter::{
         BoolParam, Categorical, CategoricalParam, EnumParam, FloatParam, IntParam, Parameter,
     };
-    pub use crate::pruner::{MedianPruner, NopPruner, PercentilePruner, Pruner, ThresholdPruner};
+    pub use crate::pruner::{
+        MedianPruner, NopPruner, PatientPruner, PercentilePruner, Pruner, ThresholdPruner,
+    };
     pub use crate::sampler::CompletedTrial;
     pub use crate::sampler::grid::GridSearchSampler;
     pub use crate::sampler::random::RandomSampler;
diff --git a/src/pruner/mod.rs b/src/pruner/mod.rs
index 40c1f3b..058b258 100644
--- a/src/pruner/mod.rs
+++ b/src/pruner/mod.rs
@@ -6,11 +6,13 @@
 
 mod median;
 mod nop;
+mod patient;
 pub(crate) mod percentile;
 mod threshold;
 
 pub use median::MedianPruner;
 pub use nop::NopPruner;
+pub use patient::PatientPruner;
 pub use percentile::PercentilePruner;
 pub use threshold::ThresholdPruner;
 
diff --git a/src/pruner/patient.rs b/src/pruner/patient.rs
new file mode 100644
index 0000000..0f56f1c
--- /dev/null
+++ b/src/pruner/patient.rs
@@ -0,0 +1,160 @@
+use std::collections::HashMap;
+use std::sync::Mutex;
+
+use super::Pruner;
+use crate::sampler::CompletedTrial;
+
+/// Wraps another pruner and adds a patience window.
+///
+/// The inner pruner must recommend pruning for `patience` consecutive
+/// steps before this pruner actually prunes the trial. This is useful
+/// to prevent premature pruning when intermediate values are noisy.
+///
+/// # Examples
+///
+/// ```
+/// use optimizer::pruner::{PatientPruner, ThresholdPruner};
+///
+/// // Only prune after the threshold pruner recommends pruning 3 times in a row
+/// let inner = ThresholdPruner::new().upper(100.0);
+/// let pruner = PatientPruner::new(inner, 3);
+/// ```
+pub struct PatientPruner {
+    inner: Box<dyn Pruner>,
+    patience: u64,
+    /// Track consecutive prune recommendations per trial.
+    consecutive_counts: Mutex<HashMap<u64, u64>>,
+}
+
+impl PatientPruner {
+    /// Create a new `PatientPruner` wrapping the given inner pruner.
+    ///
+    /// The inner pruner must recommend pruning for `patience` consecutive
+    /// calls before this pruner returns `true`.
+    pub fn new(inner: impl Pruner + 'static, patience: u64) -> Self {
+        Self {
+            inner: Box::new(inner),
+            patience,
+            consecutive_counts: Mutex::new(HashMap::new()),
+        }
+    }
+}
+
+impl Pruner for PatientPruner {
+    fn should_prune(
+        &self,
+        trial_id: u64,
+        step: u64,
+        intermediate_values: &[(u64, f64)],
+        completed_trials: &[CompletedTrial],
+    ) -> bool {
+        let inner_says_prune =
+            self.inner
+                .should_prune(trial_id, step, intermediate_values, completed_trials);
+        let mut counts = self.consecutive_counts.lock().expect("lock poisoned");
+        let count = counts.entry(trial_id).or_insert(0);
+        if inner_says_prune {
+            *count += 1;
+            *count >= self.patience
+        } else {
+            *count = 0;
+            false
+        }
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::pruner::ThresholdPruner;
+
+    /// A test pruner that always returns the given value.
+    struct ConstPruner(bool);
+
+    impl Pruner for ConstPruner {
+        fn should_prune(
+            &self,
+            _trial_id: u64,
+            _step: u64,
+            _intermediate_values: &[(u64, f64)],
+            _completed_trials: &[CompletedTrial],
+        ) -> bool {
+            self.0
+        }
+    }
+
+    /// A pruner that returns values from a sequence.
+    struct SequencePruner(Mutex<Vec<bool>>);
+
+    impl Pruner for SequencePruner {
+        fn should_prune(
+            &self,
+            _trial_id: u64,
+            _step: u64,
+            _intermediate_values: &[(u64, f64)],
+            _completed_trials: &[CompletedTrial],
+        ) -> bool {
+            self.0.lock().expect("lock poisoned").remove(0)
+        }
+    }
+
+    fn call(pruner: &PatientPruner, trial_id: u64, step: u64) -> bool {
+        pruner.should_prune(trial_id, step, &[(step, 0.0)], &[])
+    }
+
+    #[test]
+    fn patience_1_behaves_like_inner() {
+        let pruner = PatientPruner::new(ConstPruner(true), 1);
+        assert!(call(&pruner, 0, 0));
+        assert!(call(&pruner, 0, 1));
+
+        let pruner = PatientPruner::new(ConstPruner(false), 1);
+        assert!(!call(&pruner, 0, 0));
+        assert!(!call(&pruner, 0, 1));
+    }
+
+    #[test]
+    fn patience_3_requires_consecutive_recommendations() {
+        let pruner = PatientPruner::new(ConstPruner(true), 3);
+        assert!(!call(&pruner, 0, 0)); // count=1
+        assert!(!call(&pruner, 0, 1)); // count=2
+        assert!(call(&pruner, 0, 2)); // count=3 → prune
+    }
+
+    #[test]
+    fn counter_resets_on_no_prune() {
+        // Sequence: prune, prune, no-prune, prune, prune, prune
+        let seq = vec![true, true, false, true, true, true];
+        let pruner = PatientPruner::new(SequencePruner(Mutex::new(seq)), 3);
+
+        assert!(!call(&pruner, 0, 0)); // count=1
+        assert!(!call(&pruner, 0, 1)); // count=2
+        assert!(!call(&pruner, 0, 2)); // reset → count=0
+        assert!(!call(&pruner, 0, 3)); // count=1
+        assert!(!call(&pruner, 0, 4)); // count=2
+        assert!(call(&pruner, 0, 5)); // count=3 → prune
+    }
+
+    #[test]
+    fn independent_per_trial() {
+        let pruner = PatientPruner::new(ConstPruner(true), 2);
+        assert!(!call(&pruner, 0, 0)); // trial 0: count=1
+        assert!(!call(&pruner, 1, 0)); // trial 1: count=1
+        assert!(call(&pruner, 0, 1)); // trial 0: count=2 → prune
+        assert!(!call(&pruner, 2, 0)); // trial 2: count=1
+        assert!(call(&pruner, 1, 1)); // trial 1: count=2 → prune
+    }
+
+    #[test]
+    fn works_with_threshold_pruner() {
+        let inner = ThresholdPruner::new().upper(10.0);
+        let pruner = PatientPruner::new(inner, 2);
+
+        // Value below threshold → inner says no
+        assert!(!pruner.should_prune(0, 0, &[(0, 5.0)], &[]));
+        // Value above threshold → inner says yes, count=1
+        assert!(!pruner.should_prune(0, 1, &[(0, 5.0), (1, 15.0)], &[]));
+        // Value above threshold again → count=2 → prune
+        assert!(pruner.should_prune(0, 2, &[(0, 5.0), (1, 15.0), (2, 20.0)], &[]));
+    }
+}