add flag to exclude a user from aggregates and scoring

questions/models.py

@@ -570,6 +570,9 @@ def exclude_non_primary_bots(self):
             Q(author__is_bot=False) | Q(author__is_primary_bot=True),
         )
 
+    def exclude_blacklisted_users(self):
+        return self.filter(author__exclude_from_aggregations=False)
+
     def active(self):
         """
         Returns active forecasts.

scoring/score_math.py

@@ -365,6 +365,7 @@ def evaluate_question(
     if not only_include_user_ids:
         # only include forecasts by non-primary bots if user ids explicitly specified
         base_forecasts = base_forecasts.exclude_non_primary_bots()
+        base_forecasts = base_forecasts.exclude_blacklisted_users()
         if not question.include_bots_in_aggregates:
             base_forecasts = base_forecasts.exclude(author__is_bot=True)
     aggregations = get_aggregation_history(

users/admin.py

@@ -213,6 +213,7 @@ class UserAdmin(admin.ModelAdmin):
         "is_spam",
         "is_bot",
         "is_primary_bot",
+        "exclude_from_aggregations",
         "bot_owner",
         "duration_joined_to_last_login",
         "authored_posts",
@@ -234,6 +235,7 @@ class UserAdmin(admin.ModelAdmin):
     list_filter = [
         "is_active",
         "is_spam",
+        "exclude_from_aggregations",
         "date_joined",
         LastLoginFilter,
         AuthoredPostsFilter,

users/migrations/0021_user_exclude_from_aggregations.py

@@ -0,0 +1,25 @@
+# Generated by Django 5.2.12 on 2026-05-21 21:16
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [ 
+        ("users", "0020_api_forecasting_access"),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name="user",
+            name="exclude_from_aggregations",
+            field=models.BooleanField(
+                db_index=True,
+                default=False,
+                help_text=(
+                    "Explicitly excludes this user from aggregations and geometric "
+                    "mean for peer scoring, regardless of bot status."
+                ),
+            ),
+        ),
+    ]

users/models.py

@@ -145,6 +145,16 @@ class InterfaceType(models.TextChoices):
         ),
     )
 
+    # Aggregation exclusion
+    exclude_from_aggregations = models.BooleanField(
+        default=False,
+        db_index=True,
+        help_text=(
+            "Explicitly excludes this user from aggregations and geometric mean for "
+            "peer scoring, regardless of bot status."
+        ),
+    )
+
     # Bot properties
     is_bot = models.BooleanField(default=False, db_index=True)
     is_primary_bot = models.BooleanField(

utils/the_math/aggregations.py

@@ -748,8 +748,10 @@ def get_aggregations_at_time(
     if only_include_user_ids:
         forecasts = forecasts.filter(author_id__in=only_include_user_ids)
     else:
-        # only include forecasts by non-primary bots if user ids explicitly specified
+        # only include forecasts by non-primary bots or blacklisted users
+        # if user ids explicitly specified
         forecasts = forecasts.exclude_non_primary_bots()
+        forecasts = forecasts.exclude_blacklisted_users()
     if not include_bots:
         forecasts = forecasts.exclude(author__is_bot=True)
     if len(forecasts) == 0:
@@ -1000,8 +1002,10 @@ def get_aggregation_history(
         if only_include_user_ids:
             forecasts = forecasts.filter(author_id__in=only_include_user_ids)
         else:
-            # only include forecasts by non-primary bots if user ids explicitly specified
+            # only include forecasts by non-primary bots or blacklisted users
+            # if user ids explicitly specified
             forecasts = forecasts.exclude_non_primary_bots()
+            forecasts = forecasts.exclude_blacklisted_users()
         if not include_bots:
             forecasts = forecasts.exclude(author__is_bot=True)