diff --git a/go/squiggle.go b/go/squiggle.go
index 46903415..f0a6785c 100644
--- a/go/squiggle.go
+++ b/go/squiggle.go
@@ -51,7 +51,7 @@ type func64 func() float64
 
 func sample_mixture(fs []func64, weights []float64) float64 {
 
-	fmt.Println("weights initially: ", weights)
+	// fmt.Println("weights initially: ", weights)
 	var sum_weights float64 = 0
 	for _, weight := range weights {
 		sum_weights += weight
@@ -75,17 +75,20 @@ func sample_mixture(fs []func64, weights []float64) float64 {
 			break
 		}
 	}
-	fmt.Println(cumsummed_normalized_weights)
+	// fmt.Println(cumsummed_normalized_weights)
 
 	if flag == 0 {
 		result = fs[len(fs)-1]()
 	}
 	return result
-	// return weights[0]
 
 }
 
 func main() {
+	var p_a float64 = 0.8
+	var p_b float64 = 0.5
+	var p_c float64 = p_a * p_b
+	ws := [4](float64){1 - p_c, p_c / 2, p_c / 4, p_c / 4}
 
 	sample_0 := func() float64 { return 0 }
 	sample_1 := func() float64 { return 1 }
@@ -93,18 +96,10 @@ func main() {
 	sample_many := func() float64 { return sample_to(2, 10) }
 	fs := [4](func64){sample_0, sample_1, sample_few, sample_many}
 
-	var p_a float64 = 0.8
-	var p_b float64 = 0.5
-	var p_c float64 = p_a * p_b
-	ws := [4](float64){1 - p_c, p_c / 2, p_c / 4, p_c / 4}
-	fmt.Println("weights #1", ws)
-
 	var n_samples int = 1_000_000
 	var avg float64 = 0
 	for i := 0; i < n_samples; i++ {
-		x := sample_mixture(fs[0:], ws[0:])
-		fmt.Printf("%v\n", x)
-		avg += x
+		avg += sample_mixture(fs[0:], ws[0:])
 	}
 	avg = avg / float64(n_samples)
 	fmt.Printf("Average: %v\n", avg)