diff --git a/probppl.go b/probppl.go
index 96795de..cee5bda 100644
--- a/probppl.go
+++ b/probppl.go
@@ -1,9 +1,11 @@
 package main
 
-import "fmt"
-import "git.nunosempere.com/NunoSempere/probppl/choose"
-import "math"
-import rand "math/rand/v2"
+import (
+	"fmt"
+	"git.nunosempere.com/NunoSempere/probppl/choose"
+	"math"
+	rand "math/rand/v2"
+)
 
 type src = *rand.Rand
 type pplKnownDistrib = map[int64]float64
@@ -13,17 +15,18 @@ func generatePeopleKnownDistribution(r src) map[int64]float64 {
 	sum := 0.0
 
 	// Consider zero case separately
-	p0 := r.Float64()
+	/*p0 := r.Float64()
 	mapping[0.0] = p0
 	sum += p0
+	*/
 
 	// Consider successive exponents of 1.5
-	l := 1.0
-	m := 1.5
-	for i := 1; i < 20; i++ {
-		l = l * m
+	num := 16.0
+	base := 2.0
+	for i := 1; i < 8; i++ {
+		num = num * base
 		p := r.Float64()
-		mapping[int64(l)] = p
+		mapping[int64(num)] = p
 		sum += p
 	}
 
@@ -77,7 +80,7 @@ func drawFromDistributionWithReplacement(d pplKnownDistrib, r src) int64 {
 	sum := 0.0
 	for i, p := range d {
 		sum += p
-		if p <= sum {
+		if pp <= sum {
 			return int64(i)
 		}
 
@@ -92,7 +95,7 @@ func aboutEq(a int64, b int64) bool {
 	return ((-h) <= (a - b)) && ((a - b) <= h)
 }
 
-func draw148PplFromDistributionAndCheck(d pplKnownDistrib, r src) int64 {
+func draw148PplFromDistributionAndCheck(d pplKnownDistrib, r src, show bool) int64 {
 
 	count := make(map[int64]int64)
 	count[0] = 0
@@ -105,7 +108,9 @@ func draw148PplFromDistributionAndCheck(d pplKnownDistrib, r src) int64 {
 		count[person_i_num_birthday_matches]++
 	}
 	// if (count[0] == 69) && (count[1] == 46) && (count[2] == 19) && (count[3] == 14) {
-	fmt.Println(count)
+	if show {
+		// fmt.Println(count)
+	}
 	if aboutEq(count[0], 69) && aboutEq(count[1], 46) && aboutEq(count[2], 19) && aboutEq(count[3], 14) {
 		return 1
 	} else {
@@ -115,12 +120,12 @@ func draw148PplFromDistributionAndCheck(d pplKnownDistrib, r src) int64 {
 
 func getUnnormalizedBayesianUpdateForDistribution(d pplKnownDistrib, r src) int64 {
 	var sum int64 = 0
-	n := 1
+	n := 100
 	for i := 0; i < n; i++ {
 		/* if i%1000 == 0 {
 			fmt.Println(i)
 		} */
-		draw_result := draw148PplFromDistributionAndCheck(d, r)
+		draw_result := draw148PplFromDistributionAndCheck(d, r, i == 0)
 		// fmt.Println(draw_result)
 		sum += draw_result
 	}
@@ -131,12 +136,20 @@ func main() {
 
 	var r = rand.New(rand.NewPCG(uint64(1), uint64(2)))
 
-	for i := 0; i < 100; i++ {
+	sum := int64(0)
+	for i := 0; i < 1000; i++ {
 
 		people_known_distribution := generatePeopleKnownDistribution(r)
 		// fmt.Println(people_known_distribution)
 		result := getUnnormalizedBayesianUpdateForDistribution(people_known_distribution, r)
-		fmt.Println(result)
+		fmt.Println(i)
+		if result > 0 {
+			fmt.Println(people_known_distribution)
+			fmt.Println(result)
+		}
+		sum += result
+		// fmt.Println(result)
 	}
+	fmt.Println(sum)
 
 }