diff --git a/README.md b/README.md
index edcd5ab..b468940 100644
--- a/README.md
+++ b/README.md
@@ -350,7 +350,18 @@ The default histogram implementation uses a random sampling algorithm with expon
 This was authored by Johan Buratti. 
 
 
-## Distribution [Experimental]
+## Distribution [DO NOT USE]
+
+**Distributions are no longer supported. The code to create them and the Heroic code to query them still exists, however they are being retired and no further adoption should occur.** 
+
+**Heroic is being retired in favor of OpenSource alternatives, and this distribution implementation will not be portable to the future TSDB/query interface. Since only a few services with a few metrics had experimented with distributions, the choice was made to halt adoption now, to reduce the pain of conversion to a proper histrogram later.**
+ 
+
+
+*For historical refrence only* 
+
+**DO NOT USE**
+
 Distribution is a simple interface that allows users to record measurements to compute rank statistics on data distribution, not just a local source.
 
 Every implementation should produce a serialized data sketch in a byteBuffer as this metric point value.
diff --git a/ffwd-reporter/src/main/java/com/spotify/metrics/ffwd/FastForwardReporter.java b/ffwd-reporter/src/main/java/com/spotify/metrics/ffwd/FastForwardReporter.java
index 060582d..8126b94 100644
--- a/ffwd-reporter/src/main/java/com/spotify/metrics/ffwd/FastForwardReporter.java
+++ b/ffwd-reporter/src/main/java/com/spotify/metrics/ffwd/FastForwardReporter.java
@@ -371,6 +371,7 @@ private void reportDistribution(final com.spotify.ffwd.v1.Metric metric,
         ByteString byteString = distribution.getValueAndFlush();
         Value value = Value.distributionValue(byteString);
         send(metric.value(value));
+        log.warn("Using DEPRICATED 'distribution' metric_type, this is no longer supported");
     }
 
     private String getUnit(final Metric m) {