diff --git a/KfChatDotNetBot/Commands/Kasino/PlanesCommand.cs b/KfChatDotNetBot/Commands/Kasino/PlanesCommand.cs
index b3b73a4..c198fc9 100644
--- a/KfChatDotNetBot/Commands/Kasino/PlanesCommand.cs
+++ b/KfChatDotNetBot/Commands/Kasino/PlanesCommand.cs
@@ -92,14 +92,14 @@ public class Planes : ICommand
 
         if (HOUSE_EDGE < 1)
         {
-            if (Money.GetRandomDouble(gambler, 1) > (double)HOUSE_EDGE)
+            if (Money.GetRandomDouble(gambler) > (double)HOUSE_EDGE)
             {
                 _rigged = true;
             }
         }
         else
         {
-            if ((double)HOUSE_EDGE - Money.GetRandomDouble(gambler, 1) > 1)
+            if ((double)HOUSE_EDGE - Money.GetRandomDouble(gambler) > 1)
             {
                 _riggedWin = true;
             }
diff --git a/KfChatDotNetBot/Services/Money.cs b/KfChatDotNetBot/Services/Money.cs
index 1796b33..968e647 100644
--- a/KfChatDotNetBot/Services/Money.cs
+++ b/KfChatDotNetBot/Services/Money.cs
@@ -8,6 +8,7 @@ using Microsoft.EntityFrameworkCore;
 using NLog;
 using RandN;
 using RandN.Compat;
+using RandN.Distributions;
 
 namespace KfChatDotNetBot.Services;
 
@@ -448,22 +449,13 @@ public static class Money
     /// Get random number double [0, 1]
     /// </summary>
     /// <param name="gambler">Gambler entity to reference their random seed</param>
-    /// <param name="iterations">Number of random number generator iterations to run before returning a result</param>
     /// <returns>A random number based on the given parameters</returns>
     /// <exception cref="ArgumentException"></exception>
-    public static double GetRandomDouble(GamblerDbModel gambler, int iterations = 10)
+    public static double GetRandomDouble(GamblerDbModel gambler)
     {
         var rng = StandardRng.Create();
-        var random = RandomShim.Create(rng);
-        var result = 0.0;
-        var i = 0;
-        if (iterations <= 0) throw new ArgumentException("Iterations cannot be 0 or lower");
-        while (i < iterations)
-        {
-            i++;
-            result = random.NextDouble();
-        }
-        return result;
+        var dist = Uniform.New(0.0, 1.0);
+        return dist.Sample(rng);
     }
     
     /// <summary>