diff --git a/plugins/loudness_war_winner/src/filter.rs b/plugins/loudness_war_winner/src/filter.rs
new file mode 100644
index 00000000..92e510a6
--- /dev/null
+++ b/plugins/loudness_war_winner/src/filter.rs
@@ -0,0 +1,144 @@
+// Loudness War Winner: Because negative LUFS are boring
+// Copyright (C) 2022 Robbert van der Helm
+//
+// This program is free software: you can redistribute it and/or modify
+// it under the terms of the GNU General Public License as published by
+// the Free Software Foundation, either version 3 of the License, or
+// (at your option) any later version.
+//
+// This program is distributed in the hope that it will be useful,
+// but WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+use std::f32::consts;
+use std::ops::{Add, Mul, Sub};
+
+/// A simple biquad filter with functions for generating coefficients for second order low-pass and
+/// high-pass filters.
+///
+/// Based on <https://en.wikipedia.org/wiki/Digital_biquad_filter#Transposed_direct_forms>.
+///
+/// The type parameter T should be either an `f32` or a SIMD type.
+#[derive(Clone, Copy, Debug)]
+pub struct Biquad<T> {
+    pub coefficients: BiquadCoefficients<T>,
+    s1: T,
+    s2: T,
+}
+
+/// The coefficients `[b0, b1, b2, a1, a2]` for [`Biquad`]. These coefficients are all
+/// prenormalized, i.e. they have been divided by `a0`.
+///
+/// The type parameter T  should be either an `f32` or a SIMD type.
+#[derive(Clone, Copy, Debug)]
+pub struct BiquadCoefficients<T> {
+    b0: T,
+    b1: T,
+    b2: T,
+    a1: T,
+    a2: T,
+}
+
+/// Either an `f32` or some SIMD vector type of `f32`s that can be used with our biquads.
+pub trait SimdType:
+    Mul<Output = Self> + Sub<Output = Self> + Add<Output = Self> + Copy + Sized
+{
+    fn from_f32(value: f32) -> Self;
+}
+
+impl<T: SimdType> Default for Biquad<T> {
+    /// Before setting constants the filter should just act as an identity function.
+    fn default() -> Self {
+        Self {
+            coefficients: BiquadCoefficients::identity(),
+            s1: T::from_f32(0.0),
+            s2: T::from_f32(0.0),
+        }
+    }
+}
+
+impl<T: SimdType> Biquad<T> {
+    /// Process a single sample.
+    pub fn process(&mut self, sample: T) -> T {
+        let result = self.coefficients.b0 * sample + self.s1;
+
+        self.s1 = self.coefficients.b1 * sample - self.coefficients.a1 * result + self.s2;
+        self.s2 = self.coefficients.b2 * sample - self.coefficients.a2 * result;
+
+        result
+    }
+
+    /// Reset the state to zero, useful after making making large, non-interpolatable changes to the
+    /// filter coefficients.
+    pub fn reset(&mut self) {
+        self.s1 = T::from_f32(0.0);
+        self.s2 = T::from_f32(0.0);
+    }
+}
+
+impl<T: SimdType> BiquadCoefficients<T> {
+    /// Convert scalar coefficients into the correct vector type.
+    pub fn from_f32s(scalar: BiquadCoefficients<f32>) -> Self {
+        Self {
+            b0: T::from_f32(scalar.b0),
+            b1: T::from_f32(scalar.b1),
+            b2: T::from_f32(scalar.b2),
+            a1: T::from_f32(scalar.a1),
+            a2: T::from_f32(scalar.a2),
+        }
+    }
+
+    /// Filter coefficients that would cause the sound to be passed through as is.
+    pub fn identity() -> Self {
+        Self::from_f32s(BiquadCoefficients {
+            b0: 1.0,
+            b1: 0.0,
+            b2: 0.0,
+            a1: 0.0,
+            a2: 0.0,
+        })
+    }
+
+    /// Compute the coefficients for a band-pass filter.
+    ///
+    /// Based on <http://shepazu.github.io/Audio-EQ-Cookbook/audio-eq-cookbook.html>.
+    pub fn bandpass(sample_rate: f32, frequency: f32, q: f32) -> Self {
+        nih_debug_assert!(sample_rate > 0.0);
+        nih_debug_assert!(frequency > 0.0);
+        nih_debug_assert!(frequency < sample_rate / 2.0);
+        nih_debug_assert!(q > 0.0);
+
+        let omega0 = consts::TAU * (frequency / sample_rate);
+        let cos_omega0 = omega0.cos();
+        let alpha = omega0.sin() / (2.0 * q);
+
+        // We'll prenormalize everything with a0
+        let a0 = 1.0 + alpha;
+        let b0 = alpha / a0;
+        let b1 = 0.0 / a0;
+        let b2 = -alpha / a0;
+        let a1 = (-2.0 * cos_omega0) / a0;
+        let a2 = (1.0 - alpha) / a0;
+
+        Self::from_f32s(BiquadCoefficients { b0, b1, b2, a1, a2 })
+    }
+}
+
+impl SimdType for f32 {
+    #[inline(always)]
+    fn from_f32(value: f32) -> Self {
+        value
+    }
+}
+
+// TODO: Add SIMD
+// impl SimdType for f32x2 {
+//     #[inline(always)]
+//     fn from_f32(value: f32) -> Self {
+//         f32x2::splat(value)
+//     }
+// }
diff --git a/plugins/loudness_war_winner/src/lib.rs b/plugins/loudness_war_winner/src/lib.rs
index 10271d55..17408c5d 100644
--- a/plugins/loudness_war_winner/src/lib.rs
+++ b/plugins/loudness_war_winner/src/lib.rs
@@ -14,18 +14,31 @@
 // You should have received a copy of the GNU General Public License
 // along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
+#[macro_use]
+extern crate nih_plug;
+
 use nih_plug::prelude::*;
 use std::sync::Arc;
 
+mod filter;
+
 /// The length of silence after which the signal should start fading out into silence. This is to
 /// avoid outputting a constant DC signal.
 const SILENCE_FADEOUT_START_MS: f32 = 1000.0;
 /// The time it takes after `SILENCE_FADEOUT_START_MS` to fade from a full scale DC signal to silence.
 const SILENCE_FADEOUT_END_MS: f32 = SILENCE_FADEOUT_START_MS + 1000.0;
 
+/// The center frequency for our optional bandpass filter, in Hertz.
+const BP_FREQUENCY: f32 = 5500.0;
+
 struct LoudnessWarWinner {
     params: Arc<LoudnessWarWinnerParams>,
 
+    sample_rate: f32,
+    /// To win even harder we'll band-pass the signal around 5.5 kHz when the `WIN HARDER` parameter
+    /// is enabled. And we'll cascade four of these filters while we're at it.
+    bp_filters: Vec<[filter::Biquad<f32>; 4]>,
+
     /// The number of samples since the last non-zero sample. This is used to fade into silence when
     /// the input has also been silent for a while instead of outputting a constant DC signal. All
     /// channels need to be silent for a signal to be considered silent.
@@ -43,6 +56,12 @@ struct LoudnessWarWinnerParams {
     /// The output gain, set to -24 dB by default because oof ouchie.
     #[id = "output"]
     output_gain: FloatParam,
+
+    /// When non-zero, this engages a bandpass filter around 5.5 kHz to help with the LUFS
+    /// K-Weighting. This is a fraction in `[0, 1]`. [`LoudnessWarWinner::update_bp_filters()`]
+    /// calculates the filter's Q value basedo n this.
+    #[id = "powah"]
+    win_harder_factor: FloatParam,
 }
 
 impl Default for LoudnessWarWinner {
@@ -50,6 +69,9 @@ impl Default for LoudnessWarWinner {
         Self {
             params: Arc::new(LoudnessWarWinnerParams::default()),
 
+            sample_rate: 1.0,
+            bp_filters: Vec::new(),
+
             num_silent_samples: 0,
             silence_fadeout_start_samples: 0,
             silence_fadeout_end_samples: 0,
@@ -74,6 +96,21 @@ impl Default for LoudnessWarWinnerParams {
             .with_unit(" dB")
             .with_value_to_string(formatters::v2s_f32_gain_to_db(2))
             .with_string_to_value(formatters::s2v_f32_gain_to_db()),
+            win_harder_factor: FloatParam::new(
+                "WIN HARDER",
+                0.0,
+                // This ramps up hard, so we'll make sure the 'usable' (for a lack of a better word)
+                // value range is larger
+                FloatRange::Skewed {
+                    min: 0.0,
+                    max: 1.0,
+                    factor: FloatRange::skew_factor(-2.0),
+                },
+            )
+            .with_smoother(SmoothingStyle::Linear(30.0))
+            .with_unit("%")
+            .with_value_to_string(formatters::v2s_f32_percentage(0))
+            .with_string_to_value(formatters::s2v_f32_percentage()),
         }
     }
 }
@@ -100,10 +137,18 @@ impl Plugin for LoudnessWarWinner {
 
     fn initialize(
         &mut self,
-        _bus_config: &BusConfig,
+        bus_config: &BusConfig,
         buffer_config: &BufferConfig,
         _context: &mut impl ProcessContext,
     ) -> bool {
+        self.sample_rate = buffer_config.sample_rate;
+
+        self.bp_filters.resize(
+            bus_config.num_output_channels as usize,
+            [filter::Biquad::default(); 4],
+        );
+        self.update_bp_filters();
+
         self.silence_fadeout_start_samples =
             (SILENCE_FADEOUT_START_MS / 1000.0 * buffer_config.sample_rate).round() as u32;
         self.silence_fadeout_end_samples =
@@ -115,6 +160,12 @@ impl Plugin for LoudnessWarWinner {
     }
 
     fn reset(&mut self) {
+        for filters in &mut self.bp_filters {
+            for filter in filters {
+                filter.reset();
+            }
+        }
+
         // Start with silence, so we don't immediately output a DC signal if the plugin is inserted
         // on a silent channel
         self.num_silent_samples = self.silence_fadeout_end_samples;
@@ -128,11 +179,24 @@ impl Plugin for LoudnessWarWinner {
         for mut channel_samples in buffer.iter_samples() {
             let output_gain = self.params.output_gain.smoothed.next();
 
-            // TODO: Add a second parameter called "WIN HARDER" that bandpasses the signal around 5
-            //       kHz
+            // When the `WIN_HARDER` parameter is engaged, we'll band-pass the signal around 5 kHz
+            if self.params.win_harder_factor.smoothed.is_smoothing() {
+                self.update_bp_filters();
+            }
+            let apply_bp_filters = self.params.win_harder_factor.smoothed.previous_value() > 0.0;
+
             let mut is_silent = true;
-            for sample in channel_samples.iter_mut() {
+            for (sample, bp_filters) in channel_samples.iter_mut().zip(&mut self.bp_filters) {
                 is_silent &= *sample == 0.0;
+
+                // For better performance we can move this conditional to an outer loop, but right
+                // now it shouldn't be too bad
+                if apply_bp_filters {
+                    for filter in bp_filters {
+                        *sample = filter.process(*sample);
+                    }
+                }
+
                 *sample = if *sample >= 0.0 { 1.0 } else { -1.0 } * output_gain;
             }
 
@@ -163,6 +227,22 @@ impl Plugin for LoudnessWarWinner {
     }
 }
 
+impl LoudnessWarWinner {
+    /// Update the band-pass filters. This should only be called during processing if
+    /// `self.params.win_harder_factor.smoothed.is_smoothing()`.
+    fn update_bp_filters(&mut self) {
+        let q = 0.00001 + (self.params.win_harder_factor.smoothed.next() * 30.0);
+
+        let biquad_coefficients =
+            filter::BiquadCoefficients::bandpass(self.sample_rate, BP_FREQUENCY, q);
+        for filters in &mut self.bp_filters {
+            for filter in filters {
+                filter.coefficients = biquad_coefficients;
+            }
+        }
+    }
+}
+
 impl ClapPlugin for LoudnessWarWinner {
     const CLAP_ID: &'static str = "nl.robbertvanderhelm.loudness-war-winner";
     const CLAP_DESCRIPTION: &'static str = "Win the loudness war with ease";