diff --git a/caimira/apps/calculator/defaults.py b/caimira/apps/calculator/defaults.py
index 22b157aa..a9e9d0f9 100644
--- a/caimira/apps/calculator/defaults.py
+++ b/caimira/apps/calculator/defaults.py
@@ -19,7 +19,6 @@ DEFAULTS = {
     'calculator_version': NO_DEFAULT,
     'ceiling_height': 0.,
     'conditional_probability_plot': False,
-    'conditional_probability_viral_loads': False,
     'exposed_coffee_break_option': 'coffee_break_0',
     'exposed_coffee_duration': 5,
     'exposed_finish': '17:30',
diff --git a/caimira/apps/calculator/model_generator.py b/caimira/apps/calculator/model_generator.py
index 664eef2b..ae473ea5 100644
--- a/caimira/apps/calculator/model_generator.py
+++ b/caimira/apps/calculator/model_generator.py
@@ -35,7 +35,6 @@ class FormData:
     precise_activity: dict
     ceiling_height: float
     conditional_probability_plot: bool
-    conditional_probability_viral_loads: bool
     exposed_coffee_break_option: str
     exposed_coffee_duration: int
     exposed_finish: minutes_since_midnight
@@ -803,7 +802,6 @@ def baseline_raw_form_data() -> typing.Dict[str, typing.Union[str, float]]:
         'air_supply': '',
         'ceiling_height': '',
         'conditional_probability_plot': '0',
-        'conditional_probability_viral_loads': '0',
         'exposed_coffee_break_option': 'coffee_break_4',
         'exposed_coffee_duration': '10',
         'exposed_finish': '18:00',
diff --git a/caimira/apps/calculator/report_generator.py b/caimira/apps/calculator/report_generator.py
index 7f31893d..0e4f38ec 100644
--- a/caimira/apps/calculator/report_generator.py
+++ b/caimira/apps/calculator/report_generator.py
@@ -317,18 +317,6 @@ def non_zero_percentage(percentage: int) -> str:
         return "99.9%"
     else:
         return "{:0.1f}%".format(percentage)
-    
-
-def manufacture_viral_load_scenarios(model: mc.ExposureModel) -> typing.Dict[str, mc.ExposureModel]:
-    viral_load = model.concentration_model.infected.virus.viral_load_in_sputum
-    scenarios = {}
-    for percentil in (0.01, 0.05, 0.25, 0.5, 0.75, 0.95, 0.99):
-        vl = np.quantile(viral_load, percentil)
-        specific_vl_scenario = dataclass_utils.nested_replace(model, 
-            {'concentration_model.infected.virus.viral_load_in_sputum': vl}
-        )
-        scenarios[round(np.log10(vl))] = np.mean(specific_vl_scenario.infection_probability())
-    return scenarios
 
 
 def manufacture_alternative_scenarios(form: FormData) -> typing.Dict[str, mc.ExposureModel]:
@@ -478,7 +466,6 @@ class ReportGenerator:
         context.update(report_data)
 
         alternative_scenarios = manufacture_alternative_scenarios(form)
-        context['alternative_viral_load'] = manufacture_viral_load_scenarios(model) if form.conditional_probability_viral_loads else None
         context['alternative_scenarios'] = comparison_report(
             form, report_data, alternative_scenarios, scenario_sample_times, executor_factory=executor_factory,
         )
diff --git a/caimira/apps/templates/base/calculator.form.html.j2 b/caimira/apps/templates/base/calculator.form.html.j2
index 2ab873b3..8277f829 100644
--- a/caimira/apps/templates/base/calculator.form.html.j2
+++ b/caimira/apps/templates/base/calculator.form.html.j2
@@ -408,7 +408,6 @@
 
     <div class="form-check d-none">
       <input type="checkbox" id="conditional_probability_plot" class="tabbed form-check-input" name="conditional_probability_plot" value="0" disabled>
-      <input type="checkbox" id="conditional_probability_viral_loads" class="tabbed form-check-input" name="conditional_probability_viral_loads" value="0" disabled>
     </div>
 
     <span id="training_limit_error" class="red_text" hidden>Conference/Training activities limited to 1 infected<br></span>