diff --git a/tests/kpis_global_metrics_outlier_detection.sql b/tests/kpis_global_metrics_outlier_detection.sql
index 9e8cd82..ce80f8d 100644
--- a/tests/kpis_global_metrics_outlier_detection.sql
+++ b/tests/kpis_global_metrics_outlier_detection.sql
@@ -58,10 +58,11 @@ point it becomes too sensitive, just adapt the following parameters.
 {% set start_validating_on_this_day_month = 2 %}
 
 -- Specify here the strength of the detector. A higher value
--- means that this test will allow for more variance to be accepted.
+-- means that this test will allow for more variance to be accepted,
+-- thus it will be more tolerant.
 -- A lower value means that the chances of detecting outliers 
 -- and false positives will be higher. Recommended around 10.
-{% set detector_strength = 10 %}
+{% set detector_tolerance = 10 %}
 
 -- Specify here the number of days in the past that will be used
 -- to compare against. Keep in mind that we only keep the daily
@@ -106,11 +107,11 @@ with
             stddev(abs_daily_value) as std_daily_value_previous_dates,
             greatest(
                 avg(abs_daily_value)
-                - {{ detector_strength }} * stddev(abs_daily_value),
+                - {{ detector_tolerance }} * stddev(abs_daily_value),
                 0
             ) as lower_bound,
             avg(abs_daily_value)
-            + {{ detector_strength }} * stddev(abs_daily_value) as upper_bound
+            + {{ detector_tolerance }} * stddev(abs_daily_value) as upper_bound
         from metric_data
         where is_max_date = 0
         group by 1