diff --git a/ASFFreeGames/RandomUtils.cs b/ASFFreeGames/RandomUtils.cs
index e9ef9ae..de69199 100644
--- a/ASFFreeGames/RandomUtils.cs
+++ b/ASFFreeGames/RandomUtils.cs
@@ -1,6 +1,8 @@
 using System;
 using System.Diagnostics;
 using System.Diagnostics.CodeAnalysis;
+using System.Runtime.CompilerServices;
+using System.Runtime.InteropServices;
 using System.Security.Cryptography;
 
 namespace Maxisoft.ASF;
@@ -8,35 +10,6 @@ namespace Maxisoft.ASF;
 #nullable enable
 
 public static class RandomUtils {
-	/// <summary>
-	///     Generates a random number from a normal distribution with the specified mean and standard deviation.
-	/// </summary>
-	/// <param name="random">The random number generator to use.</param>
-	/// <param name="mean">The mean of the normal distribution.</param>
-	/// <param name="standardDeviation">The standard deviation of the normal distribution.</param>
-	/// <returns>A random number from the normal distribution.</returns>
-	/// <remarks>
-	///     This method uses the Box-Muller transform to convert two uniformly distributed random numbers into two normally distributed random numbers.
-	/// </remarks>
-	public static double NextGaussian([NotNull] this RandomNumberGenerator random, double mean, double standardDeviation) {
-		Debug.Assert(random != null, nameof(random) + " != null");
-
-		// Generate two uniform random numbers
-		Span<byte> bytes = stackalloc byte[8];
-		random.GetBytes(bytes);
-		double u1 = BitConverter.ToUInt32(bytes) / (double) uint.MaxValue;
-		random.GetBytes(bytes);
-		double u2 = BitConverter.ToUInt32(bytes) / (double) uint.MaxValue;
-
-		// Apply the Box-Muller formula
-		double randStdNormal = Math.Sqrt(-2.0 * Math.Log(u1)) * Math.Sin(2.0 * Math.PI * u2);
-
-		// Scale and shift to get a random number with the desired mean and standard deviation
-		double randNormal = mean + (standardDeviation * randStdNormal);
-
-		return randNormal;
-	}
-
 	internal sealed class GaussianRandom : RandomNumberGenerator {
 		// A flag to indicate if there is a stored value for the next Gaussian number
 		private bool HasNextGaussian;
@@ -55,23 +28,20 @@ private double NextDouble() {
 				return NextGaussianValue;
 			}
 
-			// Generate two uniform random numbers
-			Span<byte> bytes = stackalloc byte[8];
-			GetBytes(bytes);
-			float u1 = BitConverter.ToUInt32(bytes) / (float) uint.MaxValue;
-			GetBytes(bytes);
-			float u2 = BitConverter.ToUInt32(bytes) / (float) uint.MaxValue;
+			Span<byte> bytes = stackalloc byte[16];
+			Fill(bytes);
+			Span<ulong> ulongs = MemoryMarshal.Cast<byte, ulong>(bytes);
+			double u1 = ulongs[0] / (double) ulong.MaxValue;
+			double u2 = ulongs[1] / (double) ulong.MaxValue;
 
 			// Apply the Box-Muller formula
-			float r = MathF.Sqrt(-2.0f * MathF.Log(u1));
-			float theta = 2.0f * MathF.PI * u2;
+			double r = Math.Sqrt(-2.0f * Math.Log(u1));
+			double theta = 2.0 * Math.PI * u2;
 
-			// Store one of the values for next time
-			NextGaussianValue = r * MathF.Sin(theta);
+			NextGaussianValue = r * Math.Sin(theta);
 			HasNextGaussian = true;
 
-			// Return the other value
-			return r * MathF.Cos(theta);
+			return r * Math.Cos(theta);
 		}
 
 		/// <summary>