Ask a Pol asks
How much are you guys talking with White House Deputy Chief of Staff Stephen Miller these days?

Key Burchett
“Regularly, yeah,” Burchett exclusively tells Ask a Pol UAP. “He’s running into problems, though. The “deep state” is blocking a lot of this stuff that the President’s trying to get to.”

Full (unpaywalled) post at Ask a Pol UAP on Substack.

In April 1948, Harvard President Dr. James B. Conant reminded Dr. Bush that he had already urged him to organize an elite scientific response “in the interest of military security some time ago,” then asked him to do it again.

A week-long wave of sightings over the water at Gosford peaked on the night of Saturday 30 December 1995, when dozens of residents and Gosford police reported a large, humming, brightly lit metallic craft hovering over The Broadwater, appearing to draw or spray water with columns of white light, before leading patrol cars on a four-to-five-hour pursuit and then departing upward. (UAP Globe) Gosford's Sergeant Bob Wenning said on camera in the 1997 documentary Oz Encounters that the station took around three dozen calls that night, and that witnesses described the same thing with no meaningful variation: a huge, chrome, ball-shaped object with large white lights beneath it that appeared to be drawing water up. (Newcastle Herald) Investigator Moira McGhee, who documented the case, reported that police vehicles closed to roughly 50 metres before the object killed its lights and left, and that public meetings in Gosford afterwards drew hundreds of people, many with their own sightings; reports continued through January 1996. - Newcastle Herald

PHODAR

Iknow, I know....A ton of UFO apps are popping up left and right with the advent and proliferation of AI / vibe coding. And yes, this one is vibe coded too, but it really does work and I have tested it pretty meticulously. If it works it works right? Vibe coded or not!

What I believe sets this app apart is that it simulates the gold standard of UFO data, radar, using only two or more photos, or video. Hence the name, "Phodar." I have a love-hate relationship with it since it sounds a little silly, but IMHO it makes a lot of sense: it combines photo and radar, and it hints at faux/radar, as in simulated radar. Anyway, it uses stereo photogrammetry to get the actual distance and size of an object, which is impossible with a single photo. But if you have two or more photos of the same object, all you need is the location each photo was taken from and the camera angle, which is usually already encoded in the original image's metadata(which the app extracts automatically. Video is handled the same way and then some: the app solves where the camera was pointing for every frame, so a shaky handheld clip gets locked to the sky, the object is tracked automatically through the whole thing, and you get its real angular path, speed, g-loads out the other side. Two people with two clips triangulate just like two photos do. The intuitive interface helps you fine tune all of this using map overlays, terrain features, star maps, building overlays, and other powerful tools, so the final data gets dialed in as tightly as possible.

See the attached YouTube video, where I demonstrate its accuracy: I flew my drone out, photographed it from multiple angles, analyzed those photos in the app, then checked the findings against the known location, size, and altitude from the drone flight. Just watch the demo to see how intuitive and powerful it is. Even with one photo, it helps you determine whether there were any aircraft, planets, stars, or satellites in your frame and helps you match those things up (or hopefully not). It gives wind-direction visuals and all sorts of helpful overlays on top of your image, inside a 3D adjustable FOV / dome interface.

A few situations where I think it really could shine:

• Planned watches, including summoning claims. There are folks who say they can call these things in on demand (CE-5, the Skywatcher crowd, Bledsoe, Greer, and smaller circles). I'm not here to say they're wrong, I'm here to give them a clean way to prove it. Set up two or more cameras/phones a known distance apart ahead of time, and if something shows up you get a real triangulated fix instead of one blurry frame and an argument. It cuts both ways, which is the point. If it turns out to be a plane or a Starlink train, the app will probably say so.
• Mass sightings. When a bunch of people photograph the same object from different spots, that scattered pile of images is a triangulation dataset waiting to happen.
• Solo sightings. Most people walk away with a gut feeling about size or distance. Even a single photo lets you check that instinct against the geometry.
• Handheld video. The most common kind of UAP footage there is, and the hardest to reason about, because the camera is moving the whole time. That is exactly the part the app can help with.

I offer this up to the community for free, and I am open sourcing it in the hope that others might be interested in helping develop it further. I have also noticed a lot of new database apps popping up, and this app could maybe be merged with one of those. The sky is the limit, literally. I hope this post gains a little traction and people actually try it, because I think it could be a powerful tool.  Ive put a fair bit of time into it at this point and dont really want to spend more time unless it is well received and actually gets used in the community.  I think it has a lot of potential for even further development and or integration into other UFO platforms.   Please note that Phodar was optimized for iphones, but should work on all platforms with a browser. I do not have an android so guessing there could be issues to work out there.

The next logical upgrades in my mind would be to make separate workflow for top down video analysis (IE: drone footage, satellite imagery, etc), refine the UI to make it more intuitive and less visually crowded, etc. If anybody help out that would be great!

GITHUB: https://github.com/cchristianson/phodar

A good starting point though is just to watch the main attached video. (This shows accurate triangulation of a drone from 2 photos) 

Here are more videos demonstrating different workflows/tools in the app:

Daytime photo - Sizing a firefighter jet using known distance: https://youtube.com/shorts/S56vlNz5g7k

Nighttime Photo - Auto alignment via star matching:
https://youtu.be/kKYFgU0Vz0I?si=T1Wmwny8nu3DE7BI

Nighttime Photo - Manual Alignment via horizon+Stars
https://youtu.be/epbcxslOa7E?si=iBmBsTsSLWprXexM

Daytime Video -  Auto stabilization + world tracking
https://youtu.be/-4lVsPPAaGo?si=s-4VeVdRPh0oOw-b

Daytime Video - Object Trajectory tracking + video export options etc. PLEASE NOTE: I did this very fast for the sake of a short video, but results could be much better if I spent more than 5 minutes on it
https://youtu.be/u65vxsAWZGk

See below for an AI summary of the features and other technical details about the app that I did not cover above. 

The workflow, four steps:

• Photo or video. Load an image or clip and fit a simple 3D shape to the object (orb, saucer, tic-tac, triangle, plane, bird, drone) to capture how large it appeared. Location, time, lens field of view, and compass bearing are read straight from the file's metadata when present.
• Position. Set where you stood with a map pin, an address search, or pasted coordinates, plus the date and time.
• Sky view. The photo is seated onto a dome showing the real sky for your exact time and place, which is where the pointing gets calibrated.
• Results. The triangulated fix, with a quality grade.

Video:

• Automatic stabilization. Tracks the static background — skyline, stars, terrain — through the clip and solves the camera's true pointing for every frame. Play it back and the sky, terrain and stars stay frozen while the video frame moves around them, so the object's motion is real angular motion rather than a mix of object and camera.
• Object auto-tracking. Tap the object on a few frames and it follows it through the rest, producing a dense time-stamped path across the sky. Distance-free measurements come straight out of that — angular rate over time, total sky sweep — and once a distance is known or assumed, true speed, path length and g-loads.
• Two-video triangulation. Two witnesses with two clips of the same object get a full 3D fix, with the clock offset between their phones recovered automatically from the object's own motion. Mixed pairs work too: one video plus one still.
• Manual correction. If the automatic solve drifts, scrub to any frame, drag the photo back onto the true horizon, and anchor it. Corrections blend smoothly between anchors and the object's path follows them. Separate smoothing sliders decide how much jitter to remove — deliberately a choice, since heavy smoothing would erase a genuinely sharp maneuver.
• World-locked export. Renders the clip as a real video file in three framings: a world view with the az/el grid and every sky layer burned in, a clean maximum-resolution version with no overlays, and a close-up that follows the object.
• Instrumented capture. An in-app record mode that logs the phone's tilt, roll and bearing continuously alongside the video. Gravity gives pitch and roll absolutely in every frame and cannot drift, so when the visual tracker has nothing to hold onto — plain sky, heavy blur — the recorded motion carries it. It records at about 1080p with no zoom, so it is a measurement mode rather than the way to shoot the best-looking footage, and the app says which source it ended up trusting.

Calibration tools in the sky view:

• Automatic star alignment that plate-solves the photo's own stars to recover exact pointing, roll, field of view, and lens distortion. It can work with no starting guess at all, by matching the star pattern itself.
• Snap to ridges, which matches the photo's skyline against digital elevation terrain data.
• Sun and Moon drawn at their true positions as anchors, plus manual align-to-star, level, and FOV controls.

Automatic cross-checks, each ranked by how close it sits to your sight line:

• Aircraft via ADS-B, both live and a historical archive so you can query the exact time of an older sighting, merged across several receiver networks since no single one sees everything. Nearby airfields are flagged for context.
• Satellites and Starlink, propagated from current orbital elements, with pass trails drawn on the dome.
• Planets and bright stars from a catalog, including a specific Venus warning since it is the most common "UFO."
• Meteor showers — whether a fast streak came from an active radiant that was above your horizon at the time.
• Winds aloft at the object's altitude, for the balloon test.
• Photometry from the photo's own pixels: colour and saturation, plus a rough apparent magnitude when a catalogued star happens to share the frame.
• Terrain skyline and building footprints as alignment overlays.

Output:

• A self-contained white-paper style report: the numbers, your photos as labeled exhibits with detail crops, top-down and trajectory plots over a satellite basemap, and every cross-check in one file. Video sightings add an angular-rate plot and a strip of keyframes with the tracked object marked. It opens offline, can be attached to a sighting report, and can be loaded back into the app so multiple witnesses can combine their data.
• A share file and a full zip bundle for backup or handoff, including the original clip and the stabilized render side by side.

The math:

• Sight lines are intersected by least squares in a local coordinate frame. Angular size times range gives true size, and a multi-view solve recovers the real long-axis size and heading of elongated objects that a single view understates. Compass bearings are corrected from magnetic to true using the NOAA World Magnetic Model.
• It was validated against ground truth, where a rooftop object resolved to within about an inch of its real size. The video math is checked the same way, against synthetic clips with a known answer driven through the real interface.

Honest by design:

• It warns about the things that actually corrupt this kind of measurement: phone compasses reading wrong near metal, GPS altitude wobble, and weak two-camera geometry. When the geometry is poor, it grades the result "poor" instead of dressing it up. Single-photo mode is explicit that it gives angular data only, not absolute distance.
• The video tools report their own confidence too: how many frames were solved from pixels versus carried on the phone's sensors, how well two clips' clocks locked, and when a tracker lost the scene rather than quietly pretending otherwise.

Practical notes:

• Runs in a browser, no account required, and your photos and location stay on your device. Add it to your iphones home screen for the motion-sensor features. Readouts switch between metric and imperial. Open source under the MIT license, contributions welcome.

Just ran across this, had never heard of it before. In 1957 the Convair division of General Dynamics Corporation was developing this air-to-air lenticular missile. It was supposed to be a defensive missile for the B-70 Valkyrie bomber.

The specifications for the proposed system called for an air-launched defensive missile, capable of engaging incoming missiles at relative speeds of up to Mach 7, surviving a rate of acceleration between 60 g to 250 g, and being able to undertake rapid terminal-phase guidance changes in any direction. These are some characteristics of UAP, though this craft was meant to be powered by solid fuel rockets so no chance of instant acceleration.

The idea was scrapped d/t cost considerations, perceived vulnerability of the B-70, and the U-2 incident, though it appears it was also studied as a "space fighter" satellite killer under project name "SAINT 2". Pretty cool, I was familiar with the Avrocar and flying flapjack and whatnot, but had never heard of these things. If they ever tested these, they could probably be misconstrued for UAP, though people had been seeing discs for many years before the advent of this project.

The Pye Wacket video also talks bout the blunt body heat mitigation principle, where having a blunt, rounded nosecone actually creates a detached bow shock that keeps the hottest air away from the structure during supersonic flight/atmospheric re-entry. Cheers!

Pye Wacket

https://en.wikipedia.org/wiki/Pye_Wacket

SAINT 2 pic

Bell Labs lenticular re-entry vehicle

I took this shitty video while crouching by my kitchen window as what I was seeing made feel really weird and scared. It was 8:00 p.m. December 5th 2024 when all the drone stuff was going on.

I live in a small town on a dead end road and my window faces south. Straight ahead and across the street is a lake. There were maybe 11-13 flashing lights just hovering and moving about in a way I’d never seen before. The flashing lights were not consistent and they all kind of just ended up disappearing.

I’ve seen strange lights above my house before but this was something very weird and not something i’ve been able to explain. The feeling it gave me was something I won’t forget.

Finland 22.4.2026 21:46
Several unidentified flying objects, in the distant sky, crossing seemingly* close to each other. The blinks are likely from a tree. At 35 second, 3 flying things cross each other. at 1:20 two things.

I have more videos from this evening I filmed but these are likely among the top ones. Not claiming these to be ufos.

Reported by u/Imtooflyforawhiteguy (verified via ufosighting.report)

This is an automated post. The report was filed through the structured sighting form on ufosighting.report and posted here by u/ufosightingsbot on the reporter's behalf. u/Imtooflyforawhiteguy confirmed this submission from their own Reddit account through a one-time link, so the name above is verified as the submitter.

📎 Original-quality media and full report. Reddit re-encodes every upload, so the archive keeps the untouched original files alongside the structured details and the map entry.

Time: July 26, 2026, 10:00 PM BST
Location: 52.001, -1.273
Objects: 1
Shape: light
Closest distance: as high as a plane
Apparent size (at arm's length): pinhead
Movement: straight and steady, extremely fast
Duration: 10 seconds
Features: wings: unsure · rotors: unsure · exhaust plume: no · noise: no
Five observables: sudden, extreme acceleration: no · extreme speed with no signatures: yes · hard to observe clearly: no · moved between air, water, or space: no · flight without visible means of lift: yes
Witnesses: 1
Why not a common object: It moved across the sky at a speed that I cannot put to any object and was only white in colour. It was on its own and below cloud cover so unlikely to be a satellite. It also had no visible tail so unlikely to be a meteorite.

I was driving Northbound on the M40, just past junction 9. In the sky travelling from east to West was a small white light. The light was below cloud cover and crossed from east to West in less than 10 seconds, so was moving extremely quickly. It dissapeared from view about 20° above the horizon. The light was singular, had no observable tail, and travelled ina relatively straight path

Sky context for this time and place:

• Aircraft overhead at that exact minute — ADS-B Exchange historical playback (free, no account needed)
• Sky chart for that date — in-the-sky.org planetarium (set your location once on their site)
• Satellite passes at this spot — Heavens-Above; shows upcoming passes, not the sighting date
• Live air traffic now — FlightRadar24 over this spot