diff --git a/poincare/include/poincare/normal_distribution.h b/poincare/include/poincare/normal_distribution.h
index fe30513f8..e9a54a273 100644
--- a/poincare/include/poincare/normal_distribution.h
+++ b/poincare/include/poincare/normal_distribution.h
@@ -16,11 +16,6 @@ public:
    * The result of the verification is *result. */
   static bool ExpressionMuAndVarAreOK(bool * result, const Expression & mu, const Expression & sigma, Context * context);
 private:
-  /* For the standard normal distribution, P(X < y) > 0.99999995 for y >= 5.33 so the
-   * value displayed is 1. But this is dependent on the fact that we display
-   * only 7 decimal values! */
-  static_assert(Preferences::LargeNumberOfSignificantDigits == 7, "k_boundStandardNormalDistribution is ill-defined compared to LargeNumberOfSignificantDigits");
-  constexpr static double k_boundStandardNormalDistribution = 5.33;
   template<typename T> static T StandardNormalCumulativeDistributiveFunctionAtAbscissa(T abscissa);
   template<typename T> static T StandardNormalCumulativeDistributiveInverseForProbability(T probability);
 };
diff --git a/poincare/src/normal_distribution.cpp b/poincare/src/normal_distribution.cpp
index 710dfacb8..425f90f0f 100644
--- a/poincare/src/normal_distribution.cpp
+++ b/poincare/src/normal_distribution.cpp
@@ -88,7 +88,7 @@ T NormalDistribution::StandardNormalCumulativeDistributiveFunctionAtAbscissa(T a
   if (std::isnan(abscissa)) {
     return NAN;
   }
-  if (std::isinf(abscissa) || std::fabs(abscissa) > k_boundStandardNormalDistribution) {
+  if (std::isinf(abscissa)) {
     return abscissa > (T)0.0 ? (T)1.0 : (T)0.0;
   }
   if (abscissa == (T)0.0) {