diff --git a/go.mod b/go.mod
index 0e8c9ea9..008f2af3 100644
--- a/go.mod
+++ b/go.mod
@@ -87,5 +87,6 @@ require (
 	golang.org/x/sync v0.0.0-20190412183630-56d357773e84 // indirect
 	golang.org/x/sys v0.0.0-20190416152802-12500544f89f // indirect
 	golang.org/x/xerrors v0.0.0-20190410155217-1f06c39b4373 // indirect
+	gonum.org/v1/gonum v0.0.0-20190321072728-ca4d35bc590a
 	google.golang.org/grpc v1.19.1 // indirect
 )
diff --git a/go.sum b/go.sum
index a2f537f9..f5bc3fba 100644
--- a/go.sum
+++ b/go.sum
@@ -568,6 +568,8 @@ golang.org/x/crypto v0.0.0-20190308221718-c2843e01d9a2/go.mod h1:djNgcEr1/C05ACk
 golang.org/x/crypto v0.0.0-20190417170229-92d88b081a49 h1:mE9V9RMa141kxdQR3pfZM3mkg0MPyw+FOPpnciBXkbE=
 golang.org/x/crypto v0.0.0-20190417170229-92d88b081a49/go.mod h1:WFFai1msRO1wXaEeE5yQxYXgSfI8pQAWXbQop6sCtWE=
 golang.org/x/exp v0.0.0-20190121172915-509febef88a4/go.mod h1:CJ0aWSM057203Lf6IL+f9T1iT9GByDxfZKAQTCR3kQA=
+golang.org/x/exp v0.0.0-20190125153040-c74c464bbbf2 h1:y102fOLFqhV41b+4GPiJoa0k/x+pJcEi2/HB1Y5T6fU=
+golang.org/x/exp v0.0.0-20190125153040-c74c464bbbf2/go.mod h1:CJ0aWSM057203Lf6IL+f9T1iT9GByDxfZKAQTCR3kQA=
 golang.org/x/lint v0.0.0-20180702182130-06c8688daad7/go.mod h1:UVdnD1Gm6xHRNCYTkRU2/jEulfH38KcIWyp/GAMgvoE=
 golang.org/x/lint v0.0.0-20181026193005-c67002cb31c3/go.mod h1:UVdnD1Gm6xHRNCYTkRU2/jEulfH38KcIWyp/GAMgvoE=
 golang.org/x/lint v0.0.0-20181217174547-8f45f776aaf1/go.mod h1:UVdnD1Gm6xHRNCYTkRU2/jEulfH38KcIWyp/GAMgvoE=
@@ -625,6 +627,7 @@ golang.org/x/tools v0.0.0-20180221164845-07fd8470d635/go.mod h1:n7NCudcB/nEzxVGm
 golang.org/x/tools v0.0.0-20180828015842-6cd1fcedba52/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
 golang.org/x/tools v0.0.0-20181219222714-6e267b5cc78e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
 golang.org/x/tools v0.0.0-20190114222345-bf090417da8b/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
+golang.org/x/tools v0.0.0-20190206041539-40960b6deb8e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
 golang.org/x/tools v0.0.0-20190226205152-f727befe758c h1:vamGzbGri8IKo20MQncCuljcQ5uAO6kaCeawQPVblAI=
 golang.org/x/tools v0.0.0-20190226205152-f727befe758c/go.mod h1:9Yl7xja0Znq3iFh3HoIrodX9oNMXvdceNzlUR8zjMvY=
 golang.org/x/tools v0.0.0-20190312170243-e65039ee4138/go.mod h1:LCzVGOaR6xXOjkQ3onu1FJEFr0SW1gC7cKk1uF8kGRs=
@@ -633,6 +636,10 @@ golang.org/x/xerrors v0.0.0-20190212162355-a5947ffaace3 h1:P6iTFmrTQqWrqLZPX1VMz
 golang.org/x/xerrors v0.0.0-20190212162355-a5947ffaace3/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 golang.org/x/xerrors v0.0.0-20190410155217-1f06c39b4373 h1:PPwnA7z1Pjf7XYaBP9GL1VAMZmcIWyFz7QCMSIIa3Bg=
 golang.org/x/xerrors v0.0.0-20190410155217-1f06c39b4373/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
+gonum.org/v1/gonum v0.0.0-20190321072728-ca4d35bc590a h1:XffIu/i+IJIC+M8WoBEmJm8N/YYbA8Pvh748YgzU7kI=
+gonum.org/v1/gonum v0.0.0-20190321072728-ca4d35bc590a/go.mod h1:2ltnJ7xHfj0zHS40VVPYEAAMTa3ZGguvHGBSJeRWqE0=
+gonum.org/v1/netlib v0.0.0-20190313105609-8cb42192e0e0 h1:OE9mWmgKkjJyEmDAAtGMPjXu+YNeGvK9VTSHY6+Qihc=
+gonum.org/v1/netlib v0.0.0-20190313105609-8cb42192e0e0/go.mod h1:wa6Ws7BG/ESfp6dHfk7C6KdzKA7wR7u/rKwOGE66zvw=
 google.golang.org/api v0.0.0-20181220000619-583d854617af h1:iQMS7JKv/0w/iiWf1M49Cg3dmOkBoBZT5KheqPDpaac=
 google.golang.org/api v0.0.0-20181220000619-583d854617af/go.mod h1:4mhQ8q/RsB7i+udVvVy5NUi08OU8ZlA0gRVgrF7VFY0=
 google.golang.org/api v0.3.1 h1:oJra/lMfmtm13/rgY/8i3MzjFWYXvQIAKjQ3HqofMk8=
diff --git a/monitor/metrics/checker_test.go b/monitor/metrics/checker_test.go
index bbf8c162..cb62147d 100644
--- a/monitor/metrics/checker_test.go
+++ b/monitor/metrics/checker_test.go
@@ -83,21 +83,24 @@ func TestChecker_Watch(t *testing.T) {
 }
 
 func TestChecker_Failed(t *testing.T) {
-	metrics := NewStore()
-	checker := NewChecker(metrics, 2.0)
+	t.Run("standard failure check", func(t *testing.T) {
+		metrics := NewStore()
+		checker := NewChecker(metrics, 2.0)
 
-	for i := 0; i < 10; i++ {
-		metrics.Add(makePeerMetric(test.PeerID1, "1"))
-		time.Sleep(time.Duration(2) * time.Second)
-	}
-	for i := 0; i < 10; i++ {
-		metrics.Add(makePeerMetric(test.PeerID1, "1"))
-		time.Sleep(time.Duration(500*i) * time.Millisecond)
-		got := checker.Failed(test.PeerID1)
-		if i >= 17 && !got {
-			t.Fatal("threshold should have been passed by now")
+		for i := 0; i < 10; i++ {
+			metrics.Add(makePeerMetric(test.PeerID1, "1"))
+			time.Sleep(time.Duration(2) * time.Second)
 		}
-	}
+		for i := 0; i < 10; i++ {
+			metrics.Add(makePeerMetric(test.PeerID1, "1"))
+			time.Sleep(time.Duration(500*i) * time.Millisecond)
+			got := checker.Failed(test.PeerID1)
+			// TODO(lanzafame): explain magic number 17
+			if i >= 17 && !got {
+				t.Fatal("threshold should have been passed by now")
+			}
+		}
+	})
 }
 
 func makePeerMetric(pid peer.ID, value string) *api.Metric {
diff --git a/monitor/metrics/prob.go b/monitor/metrics/prob.go
index 49cb9f91..8368bb7c 100644
--- a/monitor/metrics/prob.go
+++ b/monitor/metrics/prob.go
@@ -24,16 +24,33 @@ package metrics
 
 import (
 	"math"
+
+	"gonum.org/v1/gonum/floats"
 )
 
 // Phi returns the φ-failure for the given value and distribution.
-func phi(v float64, d []int64) float64 {
-	u := mean(d)
-	o := standardDeviation(d)
-	if phi := -math.Log10(1 - cdf(u, o, v)); !math.IsInf(phi, 1) {
-		return phi
+// Two edge cases that are dealt with in phi:
+//	1. phi == math.+Inf
+//  2. phi == math.NaN
+//
+// Edge case 1. is most certainly a failure, the value of v is is so large
+// in comparison to the distribution that the cdf function returns a 1,
+// which equates to a math.Log10(0) which is one of its special cases, i.e
+// returns -Inf. In this case, phi() will return the math.+Inf value, as it
+// will be a valid comparison against the threshold value in checker.Failed.
+//
+// Edge case 2. could be a failure but may not be. phi() will return NaN
+// when the standard deviation of the distribution is 0, i.e. the entire
+// distribution is the same number, {1,1,1,1,1}. Considering that we are
+// using UnixNano timestamps this would be highly unlikely, but just in case
+// phi() will return a -1 value, indicating that the caller should retry.
+func phi(v float64, d []float64) float64 {
+	u, o := meanStdDev(d)
+	phi := -math.Log10(1 - cdf(u, o, v))
+	if math.IsNaN(phi) {
+		return -1
 	}
-	return 0
+	return phi
 }
 
 // CDF returns the cumulative distribution function if the given
@@ -42,34 +59,20 @@ func cdf(u, o, v float64) float64 {
 	return ((1.0 / 2.0) * (1 + math.Erf((v-u)/(o*math.Sqrt2))))
 }
 
-// Mean returns the mean of the given sample.
-func mean(values []int64) float64 {
+func meanStdDev(v []float64) (m, sd float64) {
+	var variance float64
+	m, variance = meanVariance(v)
+	sd = math.Sqrt(variance)
+	return
+}
+
+func meanVariance(values []float64) (m, v float64) {
 	if len(values) == 0 {
-		return 0.0
+		return 0.0, 0.0
 	}
-	var sum int64
-	for _, v := range values {
-		sum += v
-	}
-
-	return float64(sum) / float64(len(values))
-}
-
-// StandardDeviation returns standard deviation of the given sample.
-func standardDeviation(v []int64) float64 {
-	return math.Sqrt(variance(v))
-}
-
-// Variance returns variance if the given sample.
-func variance(values []int64) float64 {
-	if len(values) == 0 {
-		return 0.0
-	}
-	m := mean(values)
-	var sum float64
-	for _, v := range values {
-		d := float64(v) - m
-		sum += d * d
-	}
-	return sum / float64(len(values))
+	m = floats.Sum(values) / float64(len(values))
+	floats.AddConst(-m, values)
+	floats.Mul(values, values)
+	v = floats.Sum(values) / float64(len(values))
+	return
 }
diff --git a/monitor/metrics/prob_test.go b/monitor/metrics/prob_test.go
index bc2b838f..38c45838 100644
--- a/monitor/metrics/prob_test.go
+++ b/monitor/metrics/prob_test.go
@@ -21,7 +21,7 @@ import (
 func Test_phi(t *testing.T) {
 	type args struct {
 		v float64
-		d []int64
+		d []float64
 	}
 	tests := []struct {
 		name string
@@ -29,15 +29,23 @@ func Test_phi(t *testing.T) {
 		want float64
 	}{
 		{
-			"zero values",
-			args{0, []int64{0}},
-			math.NaN(), // won't actually be used in comparison; see math.IsNaN() def
+			"infinity edge case",
+			args{
+				10,
+				[]float64{0, 0, 0, 0, 1, 1, 1, 1, 2, 2},
+			},
+			math.Inf(1),
+		},
+		{
+			"NaN edge case",
+			args{10000001, []float64{10000001, 10000001}},
+			-1, // phi() replaces math.NaN with -1 so it is still comparable
 		},
 		{
 			"increasing values",
 			args{
 				4,
-				[]int64{2, 4, 4, 4, 5, 5, 7, 9},
+				[]float64{2, 4, 4, 4, 5, 5, 7, 9},
 			},
 			0.160231392277849,
 		},
@@ -45,7 +53,7 @@ func Test_phi(t *testing.T) {
 			"decreasing values",
 			args{
 				-4,
-				[]int64{-2, -4, -4, -4, -5, -5, -7, -9},
+				[]float64{-2, -4, -4, -4, -5, -5, -7, -9},
 			},
 			0.5106919892652407,
 		},
@@ -62,7 +70,7 @@ func Test_phi(t *testing.T) {
 
 func Test_cdf(t *testing.T) {
 	type args struct {
-		values []int64
+		values []float64
 		v      float64
 	}
 	tests := []struct {
@@ -72,13 +80,13 @@ func Test_cdf(t *testing.T) {
 	}{
 		{
 			"zero values",
-			args{[]int64{0}, 0},
+			args{[]float64{0}, 0},
 			math.NaN(),
 		},
 		{
 			"increasing values",
 			args{
-				[]int64{2, 4, 4, 4, 5, 5, 7, 9},
+				[]float64{2, 4, 4, 4, 5, 5, 7, 9},
 				4,
 			},
 			0.3085375387259869,
@@ -86,7 +94,7 @@ func Test_cdf(t *testing.T) {
 		{
 			"decreasing values",
 			args{
-				[]int64{-2, -4, -4, -4, -5, -5, -7, -9},
+				[]float64{-2, -4, -4, -4, -5, -5, -7, -9},
 				-4,
 			},
 			0.6914624612740131,
@@ -94,8 +102,7 @@ func Test_cdf(t *testing.T) {
 	}
 	for _, tt := range tests {
 		t.Run(tt.name, func(t *testing.T) {
-			m := mean(tt.args.values)
-			sd := standardDeviation(tt.args.values)
+			m, sd := meanStdDev(tt.args.values)
 			got := cdf(m, sd, tt.args.v)
 			if got != tt.want && !math.IsNaN(got) {
 				t.Errorf("cdf() = %v, want %v", got, tt.want)
@@ -104,43 +111,51 @@ func Test_cdf(t *testing.T) {
 	}
 }
 
-func Test_mean(t *testing.T) {
+func Test_meanVariance(t *testing.T) {
 	type args struct {
-		values []int64
+		values []float64
 	}
 	tests := []struct {
-		name string
-		args args
-		want float64
+		name         string
+		args         args
+		wantMean     float64
+		wantVariance float64
 	}{
 		{
 			"zero values",
-			args{[]int64{}},
+			args{[]float64{}},
+			0,
 			0,
 		},
 		{
 			"increasing values",
-			args{[]int64{2, 4, 4, 4, 5, 5, 7, 9}},
+			args{[]float64{2, 4, 4, 4, 5, 5, 7, 9}},
 			5,
+			4,
 		},
 		{
 			"decreasing values",
-			args{[]int64{-2, -4, -4, -4, -5, -5, -7, -9}},
+			args{[]float64{-2, -4, -4, -4, -5, -5, -7, -9}},
 			-5,
+			4,
 		},
 	}
 	for _, tt := range tests {
 		t.Run(tt.name, func(t *testing.T) {
-			if got := mean(tt.args.values); got != tt.want {
-				t.Errorf("mean() = %v, want %v", got, tt.want)
+			m, v := meanVariance(tt.args.values)
+			if m != tt.wantMean {
+				t.Errorf("mean() = %v, want %v", m, tt.wantMean)
+			}
+			if v != tt.wantVariance {
+				t.Errorf("variance() = %v, want %v", v, tt.wantVariance)
 			}
 		})
 	}
 }
 
-func Test_standardDeviation(t *testing.T) {
+func Test_meanStdDev(t *testing.T) {
 	type args struct {
-		v []int64
+		v []float64
 	}
 	tests := []struct {
 		name string
@@ -149,63 +164,31 @@ func Test_standardDeviation(t *testing.T) {
 	}{
 		{
 			"zero values",
-			args{[]int64{}},
+			args{[]float64{}},
 			0,
 		},
 		{
 			"increasing values",
-			args{[]int64{2, 4, 4, 4, 5, 5, 7, 9}},
+			args{[]float64{2, 4, 4, 4, 5, 5, 7, 9}},
 			2,
 		},
 		{
 			"decreasing values",
-			args{[]int64{-2, -4, -4, -4, -5, -5, -7, -9}},
+			args{[]float64{-2, -4, -4, -4, -5, -5, -7, -9}},
 			2,
 		},
 	}
 	for _, tt := range tests {
 		t.Run(tt.name, func(t *testing.T) {
-			if got := standardDeviation(tt.args.v); got != tt.want {
+			// ignore mean value as it was tested in Test_meanVariance
+			// it is the same underlying implementation.
+			if _, got := meanStdDev(tt.args.v); got != tt.want {
 				t.Errorf("standardDeviation() = %v, want %v", got, tt.want)
 			}
 		})
 	}
 }
 
-func Test_variance(t *testing.T) {
-	type args struct {
-		values []int64
-	}
-	tests := []struct {
-		name string
-		args args
-		want float64
-	}{
-		{
-			"zero values",
-			args{[]int64{}},
-			0,
-		},
-		{
-			"increasing values",
-			args{[]int64{2, 4, 4, 4, 5, 5, 7, 9}},
-			4,
-		},
-		{
-			"decreasing values",
-			args{[]int64{-2, -4, -4, -4, -5, -5, -7, -9}},
-			4,
-		},
-	}
-	for _, tt := range tests {
-		t.Run(tt.name, func(t *testing.T) {
-			if got := variance(tt.args.values); got != tt.want {
-				t.Errorf("variance() = %.5f, want %v", got, tt.want)
-			}
-		})
-	}
-}
-
 func Benchmark_prob_phi(b *testing.B) {
 	r := rand.New(rand.NewSource(time.Now().UnixNano()))
 
@@ -242,8 +225,7 @@ func Benchmark_prob_cdf(b *testing.B) {
 
 	b.Run("distribution size 10", func(b *testing.B) {
 		d := makeRandSlice(10)
-		u := mean(d)
-		o := standardDeviation(d)
+		u, o := meanStdDev(d)
 		v := float64(r.Int63n(25))
 		b.ResetTimer()
 		for i := 0; i < b.N; i++ {
@@ -253,8 +235,7 @@ func Benchmark_prob_cdf(b *testing.B) {
 
 	b.Run("distribution size 50", func(b *testing.B) {
 		d := makeRandSlice(50)
-		u := mean(d)
-		o := standardDeviation(d)
+		u, o := meanStdDev(d)
 		v := float64(r.Int63n(25))
 		b.ResetTimer()
 		for i := 0; i < b.N; i++ {
@@ -264,8 +245,7 @@ func Benchmark_prob_cdf(b *testing.B) {
 
 	b.Run("distribution size 1000", func(b *testing.B) {
 		d := makeRandSlice(1000)
-		u := mean(d)
-		o := standardDeviation(d)
+		u, o := meanStdDev(d)
 		v := float64(r.Int63n(25))
 		b.ResetTimer()
 		for i := 0; i < b.N; i++ {
@@ -274,12 +254,12 @@ func Benchmark_prob_cdf(b *testing.B) {
 	})
 }
 
-func Benchmark_prob_mean(b *testing.B) {
+func Benchmark_prob_meanVariance(b *testing.B) {
 	b.Run("distribution size 10", func(b *testing.B) {
 		d := makeRandSlice(10)
 		b.ResetTimer()
 		for i := 0; i < b.N; i++ {
-			mean(d)
+			meanVariance(d)
 		}
 	})
 
@@ -287,7 +267,7 @@ func Benchmark_prob_mean(b *testing.B) {
 		d := makeRandSlice(50)
 		b.ResetTimer()
 		for i := 0; i < b.N; i++ {
-			mean(d)
+			meanVariance(d)
 		}
 	})
 
@@ -295,17 +275,17 @@ func Benchmark_prob_mean(b *testing.B) {
 		d := makeRandSlice(1000)
 		b.ResetTimer()
 		for i := 0; i < b.N; i++ {
-			mean(d)
+			meanVariance(d)
 		}
 	})
 }
 
-func Benchmark_prob_standardDeviation(b *testing.B) {
+func Benchmark_prob_meanStdDev(b *testing.B) {
 	b.Run("distribution size 10", func(b *testing.B) {
 		d := makeRandSlice(10)
 		b.ResetTimer()
 		for i := 0; i < b.N; i++ {
-			standardDeviation(d)
+			meanStdDev(d)
 		}
 	})
 
@@ -313,7 +293,7 @@ func Benchmark_prob_standardDeviation(b *testing.B) {
 		d := makeRandSlice(50)
 		b.ResetTimer()
 		for i := 0; i < b.N; i++ {
-			standardDeviation(d)
+			meanStdDev(d)
 		}
 	})
 
@@ -321,48 +301,12 @@ func Benchmark_prob_standardDeviation(b *testing.B) {
 		d := makeRandSlice(1000)
 		b.ResetTimer()
 		for i := 0; i < b.N; i++ {
-			standardDeviation(d)
+			meanStdDev(d)
 		}
 	})
 }
 
-func Benchmark_prob_variance(b *testing.B) {
-	b.Run("distribution size 10", func(b *testing.B) {
-		d := makeRandSlice(10)
-		b.ResetTimer()
-		for i := 0; i < b.N; i++ {
-			variance(d)
-		}
-	})
-
-	b.Run("distribution size 50", func(b *testing.B) {
-		d := makeRandSlice(50)
-		b.ResetTimer()
-		for i := 0; i < b.N; i++ {
-			variance(d)
-		}
-	})
-
-	b.Run("distribution size 1000", func(b *testing.B) {
-		d := makeRandSlice(1000)
-		b.ResetTimer()
-		for i := 0; i < b.N; i++ {
-			variance(d)
-		}
-	})
-}
-
-func makeRandSlice(size int) []int64 {
-	r := rand.New(rand.NewSource(time.Now().UnixNano()))
-	s := make([]int64, size, size)
-
-	for i := 0; i < size-1; i++ {
-		s[i] = r.Int63n(25)
-	}
-	return s
-}
-
-func makeRandSliceFloat64(size int) []float64 {
+func makeRandSlice(size int) []float64 {
 	r := rand.New(rand.NewSource(time.Now().UnixNano()))
 	s := make([]float64, size, size)
 
diff --git a/monitor/metrics/store.go b/monitor/metrics/store.go
index 849a5340..0a92711b 100644
--- a/monitor/metrics/store.go
+++ b/monitor/metrics/store.go
@@ -137,7 +137,7 @@ func (mtrs *Store) PeerLatest(name string, pid peer.ID) *api.Metric {
 
 // Distribution returns the distribution of a particular metrics
 // for a particular peer.
-func (mtrs *Store) Distribution(name string, pid peer.ID) []int64 {
+func (mtrs *Store) Distribution(name string, pid peer.ID) []float64 {
 	mtrs.mux.RLock()
 	defer mtrs.mux.RUnlock()
 
diff --git a/monitor/metrics/window.go b/monitor/metrics/window.go
index 8d8f7e71..35735e47 100644
--- a/monitor/metrics/window.go
+++ b/monitor/metrics/window.go
@@ -99,14 +99,14 @@ func (mw *Window) All() []*api.Metric {
 // values contained in the current window. This will
 // only return values if the api.Metric.Type() is "ping",
 // which are used for accural failure detection.
-func (mw *Window) Distribution() []int64 {
+func (mw *Window) Distribution() []float64 {
 	ms := mw.All()
-	dist := make([]int64, 0, len(ms)-1)
+	dist := make([]float64, 0, len(ms)-1)
 	// the last value can't be used to calculate a delta
 	for i, v := range ms[:len(ms)-1] {
 		// All() provides an order slice, where ms[i] is younger than ms[i+1]
 		delta := v.ReceivedAt - ms[i+1].ReceivedAt
-		dist = append(dist, delta)
+		dist = append(dist, float64(delta))
 	}
 
 	return dist
diff --git a/monitor/metrics/window_test.go b/monitor/metrics/window_test.go
index 14b8390c..0d9bdaca 100644
--- a/monitor/metrics/window_test.go
+++ b/monitor/metrics/window_test.go
@@ -354,30 +354,30 @@ func BenchmarkWindow_All(b *testing.B) {
 func TestWindow_Distribution(t *testing.T) {
 	var tests = []struct {
 		name       string
-		heartbeats []int64
-		want       []int64
+		heartbeats []float64
+		want       []float64
 	}{
 		{
 			"even 1 sec distribution",
-			[]int64{1, 1, 1, 1},
-			[]int64{1, 1, 1, 1},
+			[]float64{1, 1, 1, 1},
+			[]float64{1, 1, 1, 1},
 		},
 		{
 			"increasing latency distribution",
-			[]int64{1, 1, 2, 2, 3, 3, 4},
-			[]int64{4, 3, 3, 2, 2, 1, 1},
+			[]float64{1, 1, 2, 2, 3, 3, 4},
+			[]float64{4, 3, 3, 2, 2, 1, 1},
 		},
 		{
 			"random latency distribution",
-			[]int64{4, 1, 3, 9, 7, 8, 11, 18},
-			[]int64{18, 11, 8, 7, 9, 3, 1, 4},
+			[]float64{4, 1, 3, 9, 7, 8, 11, 18},
+			[]float64{18, 11, 8, 7, 9, 3, 1, 4},
 		},
 	}
 	for _, tt := range tests {
 		t.Run(tt.name, func(t *testing.T) {
 			mw := NewWindow(len(tt.heartbeats) + 1)
 			for i, v := range tt.heartbeats {
-				mw.Add(makeMetric(string(v * 10)))
+				mw.Add(makeMetric(string(int64(v * 10))))
 				// time.Sleep on the 1s of milliseconds level is
 				// susceptible to scheduler variance. Hence we
 				// multiple the input by 10 and this combined with
@@ -396,10 +396,11 @@ func TestWindow_Distribution(t *testing.T) {
 				t.Errorf("want len: %v, got len: %v", len(tt.want), len(got))
 			}
 
-			var gotseconds []int64
+			var gotseconds []float64
 			for _, v := range got {
 				// truncate nanoseconds to seconds for testing purposes
-				gotseconds = append(gotseconds, v/10000000)
+				// also truncate decimal places by converting to int and then back
+				gotseconds = append(gotseconds, float64(int64(v/10000000)))
 			}
 
 			for i, s := range gotseconds {