diff --git a/src/pie_modules/metrics/span_length_collector.py b/src/pie_modules/metrics/span_length_collector.py
index 729c68a59..355902037 100644
--- a/src/pie_modules/metrics/span_length_collector.py
+++ b/src/pie_modules/metrics/span_length_collector.py
@@ -38,19 +38,6 @@ def __init__(
         self.layer = layer
         if isinstance(labels, str) and labels != "INFERRED":
             raise ValueError("labels must be a list of strings or 'INFERRED'")
-        if labels == "INFERRED":
-            logger.warning(
-                f"Inferring labels with {self.__class__.__name__} from data produces wrong results "
-                f"for certain aggregation functions (e.g. 'mean', 'std', 'min') because zero values "
-                f"are not included in the calculation. We remove these aggregation functions from "
-                f"this collector, but be aware that the results may be wrong for your own aggregation "
-                f"functions that rely on zero values."
-            )
-            self.aggregation_functions: Dict[str, Callable[[List], Any]] = {
-                name: func
-                for name, func in self.aggregation_functions.items()
-                if name not in ["mean", "std", "min"]
-            }
         self.labels = labels
         self.label_field = label_attribute
         self.tokenize = tokenize
diff --git a/tests/metrics/test_span_length_collector.py b/tests/metrics/test_span_length_collector.py
index c55c864b2..b52da21c0 100644
--- a/tests/metrics/test_span_length_collector.py
+++ b/tests/metrics/test_span_length_collector.py
@@ -52,6 +52,7 @@ def test_documents(documents):
 def test_span_length_collector(documents):
     statistic = SpanLengthCollector(layer="entities")
     values = statistic(documents)
+    assert statistic._values == [[8, 1, 2, 1], [10, 4, 8]]
     assert values == {
         "len": 7,
         "max": 10,
@@ -62,7 +63,14 @@ def test_span_length_collector(documents):
 
     statistic = SpanLengthCollector(layer="entities", labels="INFERRED")
     values = statistic(documents)
-    assert values == {"org": {"len": 4, "max": 8}, "per": {"len": 3, "max": 10}}
+    assert [dict(v) for v in statistic._values] == [
+        {"per": [8, 2], "org": [1, 1]},
+        {"per": [10], "org": [4, 8]},
+    ]
+    assert values == {
+        "org": {"len": 4, "max": 8, "mean": 3.5, "min": 1, "std": 2.8722813232690143},
+        "per": {"len": 3, "max": 10, "mean": 6.666666666666667, "min": 2, "std": 3.39934634239519},
+    }
 
 
 def test_span_length_collector_wrong_label_value():