September 10, 2025 — Utah Valley University
Independent forensic analysis — Pixel flow mapping, optical flow computation, acoustic source separation, gas release imaging & physical evidence
Section 01 — Overview
On September 10, 2025, during a public event at Utah Valley University, a young man's life was forever altered. Tyler Robinson now faces the death penalty. But a meticulous frame-by-frame forensic analysis of multiple eyewitness video recordings reveals physical evidence that demands closer examination.
This independent investigation applies computational pixel flow analysis, dense optical flow mapping, multi-angle stereo acoustic analysis, audio-visual source distance computation, gas release imaging, and physical evidence examination to reconstruct what the video evidence actually shows.
Section 02 — Frame-by-Frame
The critical event unfolds across a handful of video frames. At 30fps, each frame captures ~33.3ms. Within this window, a cascade of physical events occurs in a forensically significant temporal order.
Section 03 — Gas Release Analysis
CLAHE enhancement, high-pass filtering, and false color rendering reveal gas escaping from the shirt collar in the frame immediately preceding mechanical deformation. These techniques make visible what the naked eye cannot see.

Blue-purple regions represent shirt fabric. Red-orange zone at the collar junction shows the deformation boundary. Gas is visible escaping the collar opening as distinct color gradients.

High-pass filtering isolates rapid intensity changes consistent with gas movement and fabric stress. Bright structures trace the collar deformation pattern and directional gas flow from beneath the shirt.

CLAHE reveals detail in shadows and highlights simultaneously. Amber-purple rendering exposes fabric stress patterns, fold lines under pressure, and the spatial extent of gas-driven deformation.

Multiple eyewitness angles independently confirm collar deformation originates from the same spatial point — the RØDE transmitter location — corroborating single-epicenter theory across viewpoints.
Spectral color analysis, dimensional measurement, and video evidence confirm the object trapped in the shirt collar is consistent with the RØDE Wireless PRO circuit board.
Four independent lines of evidence — quantitative spectral color shift matching the blue PCB solder mask, dimensional measurements consistent with the 30×28mm RØDE circuit board, visible geometric shape through fabric, and video capture of the object falling inside the shirt — converge to identify the object in the collar as the RØDE Wireless PRO circuit board, ejected during the energetic failure of the transmitter.
Section 04 — The Epicenter
Every computational method — dense optical flow, frame differencing, divergence analysis, kinetic energy mapping — converges on the same conclusion. The motion originated from the RØDE Wireless PRO transmitter location.
Shock Wave Vector Summary — Epicenter at Magnetic Clasp / RØDE Transmitter Mount. Vectors from masked optical flow (F23→F24). Radial pattern = internal pressure source.
The radial pattern is the forensic signature. An external projectile creates directional impact. An internal energetic event — battery thermal runaway — creates radial expansion. The evidence shows radial expansion from the transmitter location.
Section 05 — Forensic Video
Forensic composites combining optical flow, acoustic waveforms, and spectrum analysis from multiple recording angles. Each video synchronizes visual evidence with acoustic signatures captured at different positions.
Section 06 — Optical Flow & Heatmap Analysis
Two complementary approaches reveal the motion event. MATLAB optical flow analysis renders directional velocity vectors showing where each pixel moved and how fast. Farnebäck heatmap processing maps motion intensity as color, making the spatial distribution of energy visible. Together, they provide irrefutable computational evidence of the epicenter location.
Every green arrow is a velocity vector computed between consecutive frames. Direction shows pixel movement, length shows speed. The red marker tracks the computed epicenter. Watch the vectors radiate outward from the transmitter location at the moment of the event — the computational signature of an internal pressure source.
Farnebäck optical flow rendered as a JET colormap overlay. Warm colors (red, yellow, green) indicate intense motion. The circular zoom lens isolates the subject for detailed examination. These slow-motion videos reveal exactly where and how movement propagated from the epicenter through the subject and surrounding area.
Section 07 — Collar ROI Displacement Analysis
Standard vibration analysis averages pixel displacement across the entire video frame, diluting localized collar deformation into a 1–4 pixel frame-wide mean. By isolating a tight region-of-interest around the collar — directly at the RØDE transmitter’s magnetic clasp — the true near-field impulse emerges: displacement magnitudes 40–168% above frame averages, and a temporal onset that precedes both the visible event and global camera shake.
The 30fps angle captures a 100ms temporal lead: the collar ROI exceeds 3σ at CF18 (t=0.867s) while the full-frame onset occurs at CF20 (t=0.967s). At peak, the collar reaches 1.79× the full-frame average — confirming localized near-field displacement above what camera shake alone would produce.
The 60fps right-angle shows simultaneous collar and full-frame onset at CF22 (t=1.083s). The collar peaks at 13.8px — 1.22× the full-frame average (22% above). The event impulse appears as a single spike in the 15fps composite, with the true deformation completing within the ~50ms window between source frames.
Farneback optical flow magnitude rendered in INFERNO colormap. The collar region appears as a concentrated bright hotspot against a dark background — displacement energy is localized to the transmitter location, not distributed uniformly.
The source vibration composites showing four synchronized panels: original frame with displacement dots, instantaneous displacement heatmap, motion vector field, and cumulative energy map.
In Video 2 (30fps), the collar ROI exceeds its 3σ threshold 100ms before the full-frame onset (CF18 vs CF20). At peak, the collar reaches 1.79× the full-frame average. This localized excess is consistent with near-field mechanical coupling through the transmitter’s magnetic clasp — the collar responds to the co-located source before camera shake raises the frame-wide baseline.
The stage control region peaks at 32px (Video 2) and 21px (Video 1) during the late phase — pure camera body oscillation from acoustic coupling. The collar/full-frame ratio inverts during this phase as frame-wide camera shake dominates. In Video 1, collar and full-frame onsets are simultaneous at CF22 (1.22× ratio), consistent with the 60fps angle capturing less temporal separation than the 30fps view.
The complete collar ROI displacement analysis with methodology, frame-by-frame data tables, spatial heatmaps, and calibrated event timing is available as a downloadable forensic package.
Download Collar ROI ReportSection 08 — Multi-Angle Stereo Audio Forensics
Stereo audio extracted from six independent cell phone recordings at 44.1–48 kHz. Bandpass-filtered L-R cross-correlation delay estimation, Hilbert envelope inter-aural time differences, and N-wave signature detection reveal a single localized point source — with geometric properties inconsistent with a distant origin.
If the acoustic source were 80m north, all cameras clustered within a few meters of each other would show nearly identical, very small ITDs (the angular subtended by a phone mic baseline at 130m (142 yards) distance is fractions of a microsecond). Instead, ITD signs flip across cameras just meters apart: Video2_1 (east) = +20.8µs, View 2 (center) = 0.0µs, Views 1 & IMG_6368 (west) = -20.8, -22.7µs, View 13 = -113.4µs. This rapid sign reversal requires a near-field source at the tent/stage area.
Each 7-panel analysis shows: stereo waveform, L-R cross-correlation delay trace (5ms sliding window), left and right channel spectrograms (2048-sample Hann window), inter-channel delay histogram, and N-wave detection markers. The delay traces reveal temporal drift from direct wavefront to reflected arrivals — a fingerprint of the acoustic environment around each camera.

L-R correlation 0.948, ITD 0.0µs — source directly on-axis. Clean direct acoustic path, 255 N-wave detections, 36.78s recording.

L-R correlation 0.949, ITD +20.8µs (positive = source left of center). Shortest clip (3.05s), sharpest onset, highest correlation.

L-R correlation 0.743 (lowest in cluster), ITD +22.7µs, 381 N-wave detections. Farthest west — heavy multipath from building facades.

ITD of -113.4µs is 5× larger than any other view — maxing out the phone mic baseline at 3.9cm path difference. Only possible from a near-field source.

L-R correlation 0.759, ITD -22.7µs, 348 polarity flips. High reverberant character despite cluster proximity — building geometry reflections.

ITD -20.8µs, correlation 0.821, 115 N-waves in 4.44s. Delay trace shows sign flip from -19.2µs early to +23.9µs late — direct wavefront followed by reflections.
The ITD magnitude variation across cameras only meters apart requires a near-field source. At 130m (142 yards), the angular subtended by a phone mic baseline (~3.5cm) produces fractions-of-microsecond ITDs — identical across all cameras. The measured range from 0 to 113µs with sign reversals is geometrically consistent only with a source at the tent, a few meters from each camera.
All 6 views show broadband N-wave signatures (energy >2kHz) consistent with rapid pressure release or detonation. A rifle shot from 142 yards would arrive as a single clean impulse per camera; instead, spectrograms show complex broadband energy bursts with shock transients interacting with tent structure and building surfaces — consistent with device failure at close range.
Section 09 — Audio-Visual Source Distance
Light travels effectively instantly. Sound travels at 343 m/s. The time gap between a visible event and its audio arrival — measured within a single recording’s own synchronized audio/video track — gives the distance to the source. Each camera is an independent experiment. No cross-camera synchronization required.
The first frame of visible shirt expansion was identified by manual frame-by-frame inspection for each camera angle, then validated by automated rolling shutter z-score detection (3 of 4 cameras matched within ±1 frame). The simplest test: count the video frames between the visible event and the audio impulse.
The automated rolling shutter z-score detection was validated against manually identified frames: 7.mp4 exact match (F759), 1.mp4 exact match (F52), 2.mov off by 1 frame (F508 vs F507), IMG_6368 off by 2 frames (F53 vs F55). 3 of 4 within ±1 frame. The rolling shutter provides sub-frame precision that tightens the frame counting measurement.
All 4 cameras show the audio impulse arriving within 0–2 video frames of the visible shirt expansion. The FBI’s 142-yard estimate requires 11.4 frames of delay. The two .MOV recordings provide the tightest measurements: IMG_6368 at 2.6m and 2.mov at 6.3m. No muzzle blast was detected at the predicted +233ms delay in any of 6 recordings, falsifying the ballistic shockwave hypothesis.
Open any source video in VLC. Press ‘E’ to step one frame at a time. Find where the white shirt begins to expand. Find where the audio spike hits. Count. If the shot came from 142 yards, you should count 11 frames. You won’t. Source videos and code at the open analysis pipeline.
Section 10 — Acoustic Fingerprint
A distinctive ~4940Hz tonal signature was first discovered independently by Lookoutfa Charlie via spectrogram analysis, then confirmed computationally across multiple recordings. It was initially attributed to a LiPo battery breach (Helmholtz resonance). New analysis reveals a far more precise physical explanation: Strouhal vortex shedding from a supersonic rifle round impacting ballistic gelatin.
The Strouhal equation (f = St × v / D) predicts that a gas jet venting through a 7.62mm bullet entry hole at 188 m/s (Mach 0.55) produces exactly 4,940 Hz. TDOA multilateration using GPS-verified camera positions pinpoints this source to within 3.3 meters of a van that was parked under the covered walkway — 4.84 meters from the victim. Cavitation collapse pulses at 5.4ms intervals, detected in the nearest camera, independently confirm a ballistic gel impact.
The original Helmholtz/battery hypothesis explained the 4940Hz tone as gas venting through a LiPo pouch cell rupture. Five lines of evidence now favor the Strouhal/ballistic gel explanation:
When a supersonic bullet enters dense ballistic gel, the elastic rebound forces trapped gas through the narrow entry hole at high velocity. Vortex shedding at the hole lip produces a tonal signature governed by the Strouhal relation: f = St × v / D, where St ≈ 0.2, v = gas exit velocity, and D = hole diameter. For a 7.62mm (.30 cal) entry hole at 188 m/s, this yields exactly 4,940 Hz.
A van was observed parked under the covered walkway at GPS coordinates 40°16’38.92”N, 111°42’50.60”W — just 4.84 meters from the tent. The covered walkway provides overhead concealment from aerial observation. The van’s rear hatch was open in temporal proximity to the event.
The 4940Hz tone is consistent with Strouhal vortex shedding from a .30 caliber bullet hole in 20% ballistic gelatin at Mach 0.55 gas velocity. TDOA multilateration localizes the source 3.29m from a van parked under the covered walkway. Periodic cavitation collapse pulses at 5.4ms intervals confirm the gel impact mechanism. The Helmholtz/battery hypothesis remains a possible secondary contributor but cannot explain the TDOA localization offset, the stereo directional pattern, or the cavitation signatures. The full supplemental report is available in the downloads section.
This analysis supersedes the previous Helmholtz/battery attribution of the 4940Hz signature published on this site. Science demands following the evidence wherever it leads. The TDOA localization, Strouhal aeroacoustic physics, and cavitation detection collectively point to a ballistic gel impact in a nearby vehicle as the more precise explanation. The original spectral discovery by Lookoutfa Charlie remains valid — only the source attribution has been refined.
Section 11 — Four-Source Acoustic Fingerprint
Beyond the 4940Hz tone, computational analysis of the six cell phone recordings has identified four additional acoustic signatures, each originating from a distinct spatial location. Together, they form a five-component acoustic fingerprint that is inconsistent with a single-point event.
Five distinct, temporally separated, spectrally distinct acoustic signatures — each localizing to a different spatial origin via independent TDOA analysis — are inconsistent with a single-point acoustic event. A device malfunction at the tent cannot produce a Mach cone from a distant rooftop, a muzzle blast arriving 233ms later from 127 meters away, or a 4940Hz tone originating 3.3 meters from a parked van. The acoustic evidence supports a coordinated multi-source event involving at least three spatially separated locations: the rooftop, the tent, and the van.
Section 12 — Synthesis
The gas-first temporal sequence. The radial motion pattern. The epicenter at the transmitter location. The component trajectories. The glass fragmentation in the transport vehicle. The necklace physics. The wound characteristics. The stereo ITD polarity pattern proving a near-field source. The audio-visual propagation delay showing 0–2 frames (not 11). The 4940Hz Strouhal tone localized to a van 3.3 meters away. The cavitation collapse pulses at 5.4ms intervals. The chest cavity resonance at 50–133Hz. The muzzle blast arriving at +233ms from 127 meters. Five acoustic signatures from five different sources. Each piece of evidence independently supports the same conclusion. Together, they demand examination.
Tyler Robinson's life hangs in the balance. This evidence deserves to be examined. The defense deserves to present it. And the truth — whatever it ultimately is — deserves to be found through rigorous forensic analysis, not assumptions.
Section 13 — Circuit Board Trajectory Analysis
The RØDE Wireless PRO TX transmitter housing suffered an energetic event that compromised the case. Enhanced video analysis — using CLAHE contrast enhancement, multi-scale gradient mapping, and false-color rendering — tracks the liberated circuit board from the moment of case breach across the subject’s chest, through capture in the shirt collar, and down inside the shirt to a final resting position at the waistline.
Six independent lines of evidence converge: multi-angle video, CLAHE enhancement, multi-method 3D surface analysis, colorimetric spectral matching, dimensional calibration via the MagClip GO clasp, and before/after housing comparison.
The TX housing bulge visible in pre-event footage is absent in all post-event frames. The circuit board, liberated from its housing by the energetic event, is tracked across the subject’s chest, captured momentarily in the shirt collar, and observed descending inside the shirt to a resting fold at the waistline.
Stage 01 — Pre-Event Baseline
Multiple camera angles confirm the RØDE Wireless PRO TX is mounted on the subject’s chest via MagClip GO, creating a visible rectangular bulge (44×45.3mm) under the white “FREEDOM” t-shirt.
Stage 02 — Energetic Event
The energetic event compromises the TX housing, liberating the internal circuit board. Enhanced slow-motion video captures head reaction and body response.
Stage 03 — Circuit Board Transit
The freed circuit board travels laterally across the chest under the shirt fabric, creating textural deformation patterns inconsistent with normal fabric drape.
Stage 04 — Collar Capture
The circuit board is momentarily captured at the shirt collar. Colorimetric analysis confirms the object’s blue/red ratio (B/R = 0.567) is shifted toward blue compared to surrounding skin (B/R = 0.546), consistent with a dark blue PCB solder mask viewed through white cotton.
Stage 05 — Descent Inside Shirt
Released from the collar, the circuit board descends inside the shirt. Two independent camera angles capture the downward travel, eliminating the possibility of a visual artifact.
Stage 06 — Final Resting Position
Post-event imagery confirms the TX housing bulge at the original chest mounting location is absent — the MagClip external magnet remains, but the housing is gone. The PCB has come to rest in a shirt fold at the waistline.
Supporting Analysis
Six independent enhancement techniques each confirm the 3D form change between pre-event and post-event frames.
Each stage is independently verifiable from raw source video. All enhancements use standard forensic techniques (CLAHE, gradient mapping, Shape from Shading) applied uniformly. The full interactive timeline with frame-stepping controls is available for detailed examination.
Section 14 — Blood Spatter Hydrodynamics
The prosecution's case requires a high-velocity .30 caliber rifle round impacting a vascular neck target. Peer-reviewed fluid mechanics — Comiskey, Yarin, Kim and Attinger 2016 (Phys. Rev. Fluids 1, 043201) and Comiskey, Yarin and Attinger 2017 (Phys. Rev. Fluids 2, 073906) — predicts three independent observables for that scenario: a dense back-spatter halo of fine droplets around the entry wound, a forward-spatter cone reaching surfaces downstream, and visible vascular bleeding onset within tens of milliseconds.
None of the three are present in the recorded evidence. The bleeding-onset interval measured directly from video2_1.mp4 is 429–461 ms — 30× to 110× longer than the physics predicts for any major vessel.
Exhibit BS-04 — video2_1.mp4 timing reference: F68 (T+0) → F70 (+66 ms) → F81 (+429 ms, first mark) → F82 (+461 ms, blood unambiguous)
The standard high-velocity rifle-shot account predicts three independent observables, each derived from named equations in peer-reviewed work. None are present in the recordings. The simplest alternative that accounts for all three null observations simultaneously is a localized internal energetic event — documented elsewhere on this site through dense optical flow, gas-release imaging, acoustic source localization, and shooter-position analysis — which produces no high-velocity bullet wake through tissue and no major vascular jet, and therefore none of the predicted hydrodynamic signatures.
Equations, code, exhibits, and the complete reproducible Python pipeline are on the dedicated page. All parameters — impact velocity, bullet geometry, blood properties, ejected volume — are exposed for independent investigators to vary and re-run. The predictions follow from the published equations and the prosecution's stated impact parameters; no parameter has been adjusted to fit a desired outcome.
Section 15 — The Evidentiary Record
A category-by-category review of the State’s evidence — drawn from the sworn probable-cause affidavit, the charging Information, the unsealed ATF report, and statements made on the record in open court. Each item is graded by what the primary record actually establishes, against what rests on inference, characterization, or contested data the defense has not yet been able to examine.
15.1 — The Chain of Inference
The State’s narrative is a sequence of links. Several of the load-bearing ones are established by inference or contested data rather than by direct, individualizing proof. Isolated, in order:
Location data ties a device, not a person, to the area — not the rooftop, not 12:23 p.m.
The prints carry no disclosed friction-ridge ID and no disclosed DNA match. The lone roof item the State claims is the screwdriver — contested and undateable.
No footage of any change. The dark-shirt figure and the maroon-outfit arrival are joined only by inference and the contested texts.
Relatives thought they recognized released imagery. Unknown which images; no direct sworn statement — only a law-enforcement paraphrase.
In a mixture of at least five individuals (per defense counsel, in court), “consistent with” carries the least individualizing weight — and “astronomical odds” can’t be tested without the undisclosed contributor count and model.
No footage or physical evidence puts the rifle on the roof or shows Robinson reaching the woods. Both links are directional inference plus contested texts.
The gait was only “consistent with” a concealed rifle — unique to no one. The Converse sole is a class match, not an individualizing print.
15.2 — On the Record
“DNA evidence that was seized from the scene consisted of a mixture of at least five different individuals.”
The autopsy bullet “could not be identified or excluded” as fired from the recovered rifle.
The fleeing suspect “appeared to be carrying an item, whose identity is not clear from the surveillance.”
SOURCES: Charging Information (Utah County Atty.) · Redacted PC Affidavit · ATF Firearms Report · Defense Motion to Continue (Mar. 2026) · In-court statements, Jan–Apr 2026 hearings. | Graded from primary documents only.
Section 16 — Verify It Yourself
Every claim on this site can be independently verified. Below are the original, unmodified source video files from six cell phone cameras, plus the complete Python analysis script. Download them. Run the code. Check our work. The science either holds up or it doesn’t — and we want you to find out for yourself.
The analysis requires Python 3.8+, numpy, scipy, matplotlib, and ffmpeg. Place the video files in a videos/ folder and run the script. It will extract audio, bandpass filter into five signature bands, perform onset detection, TDOA multilateration, stereo ILD analysis, cavitation pulse detection, and Strouhal verification — all automatically.
Complete five-signature analysis pipeline. TDOA multilateration with GPS-verified positions, Strouhal 4940Hz verification, cavitation collapse detection, stereo ILD directional analysis. 328 lines, fully commented.
Download Python ScriptSix cell phone recordings from the UCCU Center courtyard. These are the original, unmodified files. Each contains synchronized audio and video tracks. Together they provide the multi-angle acoustic data for TDOA source localization.
iPhone 15 Pro • 59.94fps • 44.1kHz stereo • Closest to van position (6.4m). Strongest 4940Hz detection (+12.7dB L-channel). Primary cavitation pulse camera.
Download 2.mov29.97fps • 44.1kHz stereo • Northwest position. Farthest from courtyard cluster. 123 N-wave zero crossings — nearest to supersonic trajectory.
Download 7.mp430fps • 44.1kHz stereo • Closest to tent (4.0m). Strongest RØDE event detection (+16.2dB energy spike). First Mach cone arrival.
Download 13.mp429.97fps • 44.1kHz stereo • East position. Strongest low-frequency (chest resonance) capture at -16.1dB. +6.8dB L-channel for 4940Hz.
Download img_6368.mov30fps • 48kHz stereo • East of tent. Significant pre-event ambient noise. Audio arrival delayed relative to other cameras.
Download video2_1.mp430fps • 48kHz stereo • North of tent. Contains close-proximity voice throughout recording. 9 stereo polarity flips — equidistant between two sources.
Download 1.mp41. Install dependencies: pip install numpy scipy matplotlib and ensure ffmpeg is in your PATH.
2. Create a folder called videos/ and place all 6 files inside it.
3. Run: python acoustic_fingerprint_analysis.py
4. Results are printed to console and saved as images in results/.
The script uses the same GPS-verified camera positions, event frames, frequency bands, and multilateration algorithm documented in the forensic report. If you get different results, we want to know. Contact: followtheepicenter.com
Section 17 — Full Reports
The hardest evidence that casts reasonable doubt on the official narrative. Canon XA55 audio as centerpiece. The detonation thesis unified with the necklace, shirt deformation, shrapnel, acoustic signatures, 53Hz chest resonance, and decorticate posturing. Start here.
Open Defense SummaryVideo 15: 4-channel 48kHz uncompressed PCM from a Canon XA55 broadcast camcorder. The strongest acoustic evidence from the event — 733 sub-200µs N-wave zero-crossings (6× phone recordings), three resolved LF events placing the rifle at ~120m, and independent confirmation of every finding from the 10-camera analysis. Interactive visualizations generated from raw source audio.
View Full AnalysisAn interactive aerial map of the UCCU Center courtyard built from authoritative GPS coordinates. Eleven recorder positions, four acoustic sources, and animated wavefront propagation at 343 m/s. Click any pin to see precise arrival times for every signature. Press play to watch the Mach cone, muzzle blast, stage detonation, and 4940Hz Strouhal tone propagate across the actual scene geometry. The clearest visual explanation of the timing evidence available.
Open Interactive MapThree peer-reviewed hydrodynamic models — Comiskey/Yarin/Kim/Attinger 2016 back spatter, Comiskey/Yarin/Attinger 2017 forward spatter, and Bernoulli–Torricelli vascular flow — predict three independent observables for a real .30 caliber rifle round to a vascular neck target: a dense back-spatter halo on the entry shirt, a forward-spatter cone on the downstream backdrop, and visible bleeding within 4–14 ms. Frame-by-frame analysis of video2_1.mp4 shows 429–461 ms onset, 30× to 110× longer than physics predicts. All three signatures are absent. Full Python pipeline downloadable for independent verification.
Open Blood Spatter AnalysisSupplemental report: Strouhal 4940Hz analysis, TDOA source localization, cavitation collapse detection, and why the battery hypothesis is less likely.
Download DOCXComplete forensic evidence summary with all exhibits, methodology, analysis, and evidence tables.
Download PDFStereo source separation, acoustic triangulation, and supersonic signature identification.
Download PDFGas release imaging with enhanced frames, methodology, and temporal sequence documentation.
Download PDFRegion-of-interest optical flow isolating collar displacement timing. 300ms temporal lead, spatial heatmaps, calibrated event markers.
Download PDFIntegrated source localization via audio-visual propagation delay. Five cameras, sensitivity analysis, and calibration-independent distance estimates.
Download PDF4940Hz spectral identification, Helmholtz resonance calculation, source exclusion matrix, and frame-by-frame gas hiss correlation.
Download DOCXSection 16 — Five datasets, four methods, two opposition reports. All findings cross-validated. Includes muzzle blast comparison, detonation timeline, 4940Hz coherence proof, and the 192m-underground stationary model result.
View Section 16Section 17 — FA-2026-002. Full standardized 10-phase forensic acoustic methodology applied to the UCCU dataset. Intake through reporting, with cross-validation against Maher (CNN), Ken Linke 21-recorder set, Canon XA55 PCM, and FR05m mic.
View Section 17Five independent acoustic lines of evidence — TDOA multilateration, crack-boom timing across 20+ recordings, Canon XA55 48kHz crack-to-boom interval, N-wave zero-crossings, and Dr. Rob Maher's CNN analysis — establish that the prosecution's claimed shot position is physically impossible. The prosecution's location is 67.1 meters and 24.5° from the acoustically-derived muzzle source, 54.5 meters off the bullet trajectory, and produces a crack-boom ceiling of 159 ms at the Canon XA55 — 43 ms below the observed 202 ms, a gap no geometry can close.
View Shooter Position ExhibitThree independent camera angles document the trajectory of a 32-gram stainless-steel necklace during the September 10, 2025 incident. The chain travels upward from its rest position at the neckline, passes over the back of the head, and settles draped across the left shoulder — a trajectory that requires an impulse with both vertical and posterior horizontal components. A single broken link departs forward in the opposite direction, the conservation-of-momentum signature of an internal energetic source. Both observations are independently inconsistent with the prosecution's horizontal-bullet-impact mechanism.
View Necklace Trajectory ExhibitSource videos, Python analysis code, and full methodology — verify the results yourself. Frame-by-frame. No trust required.
Open RepositorySupport This Work
This independent forensic analysis is funded entirely through my small family farm. Every purchase helps keep this research going.
VISIT BLUE MOUNTAIN FARM →Blue Mountain Farm — Haskell County, Oklahoma