diff --git a/mixnet/v2/sim/analysis.py b/mixnet/v2/sim/analysis.py
index 57264bf..433ca5d 100644
--- a/mixnet/v2/sim/analysis.py
+++ b/mixnet/v2/sim/analysis.py
@@ -1,9 +1,7 @@
 from collections import Counter
 from typing import TYPE_CHECKING
 
-import numpy as np
 import pandas as pd
-import scipy.stats as stats
 import seaborn
 from matplotlib import pyplot as plt
 
@@ -226,34 +224,6 @@ class Analysis:
         plt.xlim(-1, self.config.mixnet.num_nodes)
         plt.show()
 
-        # Create the bar plot for broadcasters
-        broadcasters = ({node.id: count for node, count in self.sim.p2p.broadcasters.items()})
-        plt.figure(figsize=(12, 8))
-        plt.bar(list(broadcasters.keys()), list(broadcasters.values()))
-        plt.xlabel("Node ID")
-        plt.ylabel("Counts")
-        plt.title("Broadcasters")
-        plt.xlim(-1, self.config.mixnet.num_nodes)
-        plt.show()
-
-        # Calculate the mean and standard deviation of the counts
-        mean = np.mean(values)
-        std_dev = np.std(values)
-        # Plot the histogram of the values
-        plt.figure(figsize=(12, 8))
-        plt.hist(values, bins=30, density=True, alpha=0.6, color="g", label="Counts Histogram")
-        # Plot the normal distribution curve
-        xmin, xmax = plt.xlim()
-        x = np.linspace(xmin, xmax, 100)
-        p = stats.norm.pdf(x, mean, std_dev)
-        plt.plot(x, p, "k", linewidth=2, label="Normal Distribution")
-        title = "Fit results: mean = %.2f,  std_dev = %.2f" % (mean, std_dev)
-        plt.title(title)
-        plt.xlabel("Counts")
-        plt.ylabel("Density")
-        plt.legend()
-        plt.show()
-
     def timing_attack_with(self, receiver: "Node", window: int, remaining_hops: int, sender: "Node" = None) -> Counter:
         assert remaining_hops >= 1
 
diff --git a/mixnet/v2/sim/p2p.py b/mixnet/v2/sim/p2p.py
index 1b43613..fc6158c 100644
--- a/mixnet/v2/sim/p2p.py
+++ b/mixnet/v2/sim/p2p.py
@@ -3,7 +3,7 @@ from __future__ import annotations
 import hashlib
 import random
 from abc import ABC, abstractmethod
-from collections import defaultdict, Counter
+from collections import defaultdict
 from typing import TYPE_CHECKING
 
 import simpy
@@ -24,7 +24,6 @@ class P2P(ABC):
         self.nodes = []
         self.measurement = Measurement(env, config)
         self.adversary = Adversary(env, config)
-        self.broadcasters = Counter()
 
     def set_nodes(self, nodes: list["Node"]):
         self.nodes = nodes
@@ -40,7 +39,6 @@ class P2P(ABC):
         # Yield 0 to ensure that the broadcast is done in the same time step.
         # Without any yield, SimPy complains that the broadcast func is not a generator.
         yield self.env.timeout(0)
-        self.broadcasters[sender] += 1
 
     def send(self, msg: SphinxPacket | bytes, hops_traveled: int, sender: "Node", receiver: "Node",
              is_first_of_broadcasting: bool):