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Original Title

What if UAP/science claims could be peer-reviewed P2P by anyone willing to actually repeat the experiment?

Original Body

I keep coming back to a pretty simple idea:

What if we built an open-source P2P platform that gamifies peer review and reproducibility?

Not another subreddit. Not another journal. Not another centralized "truth authority."

A protocol where anyone can publish a claim together with exact instructions for reproducing it, and anyone else can independently repeat the experiment and report what they actually observed.

Take the Jake Barber / Skywatcher "dog whistle" claim as an obvious UAP example.

They claim a particular technique produces UAP activity. Fine.

Instead of spending ten thousand comments arguing about whether Barber is credible, turn the claim into an experiment:

Under conditions X, using procedure Y, we predict observation Z within some defined interval.

Publish the exact procedure.

Define beforehand what counts as:

  • a hit
  • a miss
  • a false positive
  • an inconclusive result

Publish equipment, environmental conditions, timestamps, sensor data, and negative attempts too.

Then let other people try it.

If 5 people reproduce it, interesting.

If 500 try and nobody reproduces it, also interesting.

If it works in one region but not another, now you have another actual question to investigate.

If people consistently observe different subclasses of phenomena, the network itself could discover those clusters.

The communities would form automatically

This is where the social-network part becomes important.

Instead of somebody manually creating /r/foo, becoming its moderator, and gaining the power to decide who is allowed to participate, communities could emerge automatically from the evidence graph.

For example:

people observing X
        ↓
community emerges around X


people observing Y
        ↓
community emerges around Y


people attempting experiment Z
        ↓
community emerges around Z


people disagreeing about interpretation Q
        ↓
shared dispute/investigation space around Q

Nobody has to decide that the community exists.

The shared subject matter creates the community.

And disagreement doesn't need to be deleted.

It becomes part of the graph.

Someone can say:

I disagree.

Cool.

Now ideally the system asks:

What observation, dataset, experiment, paper, book, calculation, or reproducible procedure are you basing that disagreement on?

Attach it.

Now the disagreement itself becomes useful information.

Why am I thinking about this?

I've had some recent experiences with centralized moderation elsewhere that pushed this idea much higher on my project list.

I was recently permanently banned from a physics discussion community after what I considered completely respectful discussion.

No warning. No temporary ban. No explanation attached to the ban that helped me understand what scientific discussion had supposedly crossed a line.

I'm not posting this here to start subreddit drama.

The specific moderation decision isn't really the interesting part.

The interesting part is:

Why should whether a scientific discussion continues depend upon whether one moderator decides that conversation is allowed to exist?

Downvote me.

Disagree with me.

Write a 20-page response explaining why I'm an idiot.

Better yet: replicate my experiment and demonstrate that I'm wrong.

That produces information.

Deleting the discussion doesn't.

This is one of the reasons the idea keeps coming back to me.

The same applies to controversial science generally

The public controversy surrounding Beatriz Villarroel's astronomical-transient research is another example of why I think the infrastructure itself matters.

Whatever you think about Villarroel's conclusions, UAPs, disappearing stars, archival photographic plates, or any other controversial subject:

acceptance into one particular journal/archive/community shouldn't become synonymous with scientific truth.

The better model is:

Here is the claim.

Here is the paper.

Here is the dataset.

Here is the methodology.

Here are the criticisms.

Here are the independent analyses.

Here are the replications.

Here are the failed replications.

Go look.

Nobody needs to be declared infallible.

Nobody needs to be erased either.

A giant distributed evidence graph

The system I'm imagining would maintain something closer to a giant distributed graph of human knowledge.

Something like:

CLAIM
  |
  +--- references ---> BOOK
  |
  +--- references ---> PAPER
  |
  +--- tested-by ----> EXPERIMENT
  |                       |
  |                       +---> DATASET
  |                       |
  |                       +---> OBSERVATIONS
  |
  +--- replicated-by --> PERSON A
  |
  +--- replicated-by --> PERSON B
  |
  +--- disputed-by ----> PERSON C
                            |
                            +---> COUNTER-EXPERIMENT

Wikipedia could provide an initial common reference layer.

I've already downloaded offline Wikipedia ZIM snapshots in 10 languages partly because this idea has been sitting in my head for a while.

Wikipedia would not be declared "absolute truth."

It would just provide a convenient common starting coordinate system.

For example:

baseline:
Wikipedia English
2026-02 snapshot

article:
General Relativity

section:
Gravitational Lensing

Then people can attach papers, textbooks, datasets, experiments, corrections, disputes, etc. wherever they want to expand or challenge that baseline.

The important distinction is:

Wikipedia is the starting reference graph, not the final authority.

Everyone develops their own "science base set"

Over time, everyone effectively develops their own local graph representing what they currently consider:

  • strongly supported
  • somewhat supported
  • uncertain
  • disputed
  • contradicted
  • unresolved

Your client can then compare your graph against other people's graphs.

That becomes both a discovery mechanism and part of the reputation system.

Maybe two people agree on 97% of their scientific reference graph but disagree intensely about one particular phenomenon.

That is actually an extremely interesting person for them to discover.

Instead of:

Show me people who already agree with everything I think.

you could ask:

Show me people who share most of my evidence base but reach a different conclusion about this particular claim.

Now disagreement becomes a feature.

Reputation — but NOT Reddit karma

I really don't want one global number saying:

SCIENCE SCORE: 9,482

That would get gamed immediately.

Reputation should be relative and contextual.

Maybe someone repeatedly performs excellent astronomical observations but knows absolutely nothing about molecular biology.

Their reputation should reflect that.

Maybe another person is extremely good at reproducing computational physics results.

Maybe someone else runs a weather station and has ten years of extremely well-calibrated measurements.

Your client can locally calculate things like:

How reproducible are this person's contributions?

How often do their predictions match later observations?

Do they publish their methodology?

Do they publish negative results?

Do independent people reproduce their results?

How much of their evidence-base overlaps with mine?

Where exactly do our conclusions diverge?

In which communities have their observations historically proven reliable?

There doesn't have to be a central reputation database.

There doesn't have to be a crypto token.

There doesn't have to be money involved at all.

Your reputation is essentially other people's locally calculated view of your contribution graph.

So in a weird sense it feels almost like:

blockchain 2.0 without the coin.

The thing being accumulated isn't currency.

It's provenance, reproducibility, prediction history, observations, data, and reputation.

Now apply that to UAP research

This could get especially interesting here.

Imagine people running:

  • cameras
  • telescopes
  • SDRs
  • weather stations
  • magnetometers
  • ADS-B receivers
  • satellite tracking
  • spectrometers
  • microphones
  • whatever else people come up with

Now imagine that data can be shared P2P.

People investigating similar phenomena could automatically discover one another.

But exact location should not automatically be public.

Maybe I choose to expose:

exact coordinates

1 km precision

10 km precision

25 km precision

100 km precision

state/region only

country only

nothing

Depending on the experiment, people could voluntarily reveal more information to selected peers.

So maybe the network discovers:

37 people within ~100 km are investigating the same optical phenomenon.

12 have compatible camera equipment.

8 have weather instruments.

4 have SDR recordings covering the event.

2 have telescopes.

Now we're doing something much more interesting than arguing underneath a compressed video.

And the Jake Barber "dog whistle" claim is almost the perfect test case

I don't need to believe Jake Barber.

I don't need to disbelieve Jake Barber.

Define the procedure.

Define the expected observation.

Define the success criteria before running it.

Then:

LET PEOPLE TRY IT.

If people report X, they naturally form a cluster around X.

If other people consistently report Y, they naturally form another cluster around Y.

If 99% report nothing, that's data too.

The map/community structure evolves automatically from the actual reports.

No moderator needs to decree:

This phenomenon is real.

or:

This phenomenon is fake.

The network can simply say:

Experiment attempts: 2,417

Positive: 183

Negative: 1,941

Inconclusive: 293

Independent equipment types: 17

Geographical clusters detected: 3

Strong correlation with weather variable X: ...

Possible correlation with aircraft activity: ...

Known replication disputes: 14

That is what I want to look at.

I have started building this, but barely

I'm currently calling the project FFiSSH.

The name is absolutely not sacred.

Nothing is decided.

The name could disappear tomorrow.

What matters is the general idea.

I have a very, very early crude Python prototype.

We're talking nowhere remotely close to 0.01% finished.

Right now it's basically proof-of-concept territory: testing whether some of the graph/community ideas I have in my head can actually be represented sanely in software.

I eventually want the interface to be heavily CLI-driven, somewhat like Ollama.

Partly because I think people should stop being terrified of terminals :)

But also because I'm deliberately imagining this as a desktop-first scientific tool, not "yet another mobile social media app."

Phones can obviously participate eventually.

That's not some philosophical hard limitation.

It's just:

scope creep kills projects.

Get the protocol working.

Get two machines discovering each other.

Get claims propagating.

Get experiments reproducible.

Get signed observations working.

Get automatic communities appearing.

THEN worry about making a beautiful phone app.

Actual science also tends to involve notes, source code, datasets, files, instruments, plots, terminals, and long-form reading anyway.

Desktop-first seems completely reasonable for a proof of concept.

Everything open source

Client: open source.

Protocol: open source.

Data formats: open.

Reference implementation: open source.

Anyone should be able to make another client implementing the same protocol.

Nobody should own the network.

And yes:

I know this would be hard.

The nasty questions are obvious:

  • Sybil attacks
  • fake observations
  • fabricated datasets
  • reputation gaming
  • brigading
  • malicious peers
  • privacy
  • identity
  • replication standards
  • statistical methodology
  • data storage
  • huge scientific datasets
  • protocol versioning
  • spam
  • incentive structures
  • malicious clients
  • echo chambers

There is an absolutely ridiculous amount still to think through.

But that's why I'm interested in the protocol, not merely building another website.

I'm actually working on something else first

My primary project right now is a graph-ensemble / scale-dynamics simulation that is currently eating most of my attention.

Very roughly, I'm mapping parameter spaces where local microscopic energetic rules can produce stable macroscopic dimensional behaviour, and I'm currently calibrating dimensionality probes against systems with known theoretical values.

That's another rabbit hole entirely.

But the projects are actually connected.

Because if I eventually publish that work the way I want to, it should become exactly the sort of thing FFiSSH could reference:

claim

source code

exact parameters

random seeds

experiment definition

calibration procedure

raw outputs

derived measurements

uncertainty

plots

dataset hashes

reproduction instructions

Then anyone should be able to run it themselves and say:

Yep, I observe approximately the same thing.

or:

Nope. Your dimensionality estimator breaks under these conditions.

GOOD.

That's science.

That disagreement should become another branch in the graph.

The Web already solved publishing

This is probably the shortest way I can explain the whole idea.

People sometimes respond:

We already have that. It's called the Web.

And they're partly right.

The Web gave us an incredible decentralized-ish mechanism for publishing information.

What I think is still missing is a native open protocol for turning all those:

  • claims
  • papers
  • books
  • datasets
  • experiments
  • observations
  • replications
  • disagreements

into a shared reproducibility/evidence graph...

...and then automatically forming social communities around the people actually investigating overlapping parts of that graph.

So instead of:

community = thing an administrator created

I want:

community = emergent cluster in the shared knowledge graph

And instead of:

moderator decides whether claim remains visible

I want:

claim remains addressable

your client decides how much weight to give it

evidence / replication / reputation determine its visibility

If somebody makes an extraordinary UAP claim, my preferred response shouldn't ultimately be:

"Do I trust this guy?"

It should be:

Don't ask me to believe it. Give me the experiment.

Let everyone else try it.

And let the graph grow from what actually happens.

Curious whether anyone here has thought about anything similar, or would be interested in experimenting with this once there's something less embarrassingly primitive to actually run.

URL

https://www.reddit.com/r/UFOB/comments/1w56jpw/what_if_uapscience_claims_could_be_peerreviewed/

Permalink

https://reddit.com/r/UFOB/comments/1w56jpw/what_if_uapscience_claims_could_be_peerreviewed/

^(This content was automatically generated, and correct at the time of posting. Changes to the referenced content, such as edits or deletions, may not be reflected here. All times are in UTC.)

Posted Sep 2, 2026, 12:35 PM UTC

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