Our working hypothesis

Bad news travels by phone before it travels by jet.

The first people to know make calls. The people they call book seats — and a dozen business-class seats out of DC or New York sell out fast enough to see in public data, hours before any jet is wheels-up.

One personTheir circle · T+minutesBookings · T+1 hr

One person learns early → their circle hears within minutes → the circle books seats within the hour.

01 · The first trace

It isn't one cabin. It's every cabin.

We don't watch a single flight. We track last-minute business-class fares and availability across every airline flying the exits out of DC and New York. One carrier selling out is noise. Every carrier selling out at once is the signal.

+Why business class shows it first

A last-minute business-class seat is the fastest exit money can buy from a phone — no crew, no flight plan, no waiting. Tiny inventory plus algorithmic pricing means a handful of bookings moves the whole cabin, in data anyone can see.

+A few sold out vs. all of them

Any single cabin can sell out for ordinary reasons — a convention, a holiday, a delayed aircraft. That's noise. A signal is correlated scarcity: the same last-minute business seats vanishing across many carriers and routes at the same time, which ordinary demand doesn't do.

+Why Washington and New York

They're where early knowledge lives — government, intelligence, finance, media. The person who hears first is disproportionately likely to be standing in one of these two cities.

Business cabin · 24 seats$3,930
Scarcity → higher fare17 left

Zoom in on one flight: business up front is already part-full — a few urgent bookings finish the cabin, and the fare spikes as the last seats go.

Business class · every carrier · DC & NYC → exits0/8 sold out
Air Canada
12J seats
left
United
15J seats
left
Delta
10J seats
left
American
9J seats
left
British Airways
12J seats
left
Virgin Atlantic
14J seats
left
SWISS
15J seats
left
JetBlue
8J seats
left
A few = noise · all = signalMonitoring

Zoom out to every carrier at once — every cabin sells a few seats all day. A couple selling out is routine; all of them selling out together is what we're listening for.

02 · The hypothesis — stated plainly

The first public sign is business-class cabins selling out of Washington, DC and New York — visible in fare and availability data before any jet leaves the ground.

03 · The confirmation

The jets confirm it — hours later.

Private jets and military surges are solid indicators — they're just the slow ones. By the time they're visible, the earliest hours are gone.

+Why private jets take hours

Crew callouts, positioning, clearances, fuel. Even the best-connected owner is wheels-up hours after the first phone call — and the far larger circle without a jet booked a seat instead.

+Why military surges read late

Military movement is operational and often deliberately dark, and it blends into a constant background of exercises. By the time a surge is unambiguous in public feeds, the earliest hours are gone.

One event — what shows up, in order
01Business-class seats sell outOut of DC & NYC — booking takes a phoneT+ minutes
02Private jets leave the USCrew, fuel, and a flight plan come firstT+ hours
03Military aircraft surgeOften deliberately dark until it's obviouslater

All three signals are real. The seats are just the earliest — the jets and military flights confirm what the seats already said.

04 · The corridors

Where the seats go.

If the hypothesis is right, the earliest movement concentrates on a few corridors — to places with the ties to receive.

+Toronto — the close door

Under two hours from New York or DC airspace, a dozen departures a day, and a land border you can still drive to if flights stop. Same language, straightforward entry, deep family and business ties. It's the exit that requires no plan.

+London — the second home

For American money and power, London isn't a foreign city — it's the other office. Widebodies leave for Heathrow nearly every hour, and an entire infrastructure of homes, banks, schools, and firms is ready to receive.

+Switzerland — the neutral haven

A century of other people's crises built the Swiss role: political neutrality, hard-currency banking, private-wealth infrastructure. When the goal is moving family and capital at once, Zurich and Geneva light up.

New YorkWashington DCTorontoLondonZurich

The corridors we watch first

The three routes we watch first: New York and DC out to Toronto, London, and Zurich.

05 · The mix

One signal is a hunch. Stacked signals are a case.

The hypothesis says the seats move first — it doesn't say watch only the seats. Every signal trades the same two things: the earlier it fires, the more head start it buys and the more often it cries wolf. So you don't pick one. You stack them.

Fires first · T+1 hr

Exit-route scarcity

Business cabins selling out across every carrier on 20+ exit corridors. The tripwire — the most head start, and the most false alarms.

Head start

Certainty

T+hours

Private jets & blackouts

Wheels-up surges leaving the US, and transponders going quiet mid-track. Slower than the seats — and much harder to fake.

Head start

Certainty

T+hours

Military air activity

Tankers, transports, and patterns that don't match the exercise calendar. It doesn't predict — it confirms.

Head start

Certainty

Last · the crowd

Market stress

VIX, Bitcoin, Brent crude. When fear reaches prices, word is fully out — whatever head start existed is mostly spent.

Head start

Certainty

A hair trigger on the early signals, confirmation from the late ones — every signal has its own threshold, and you tune both. How early you want to know versus how sure you want to be is your call, not ours.

Browse all signals →

06 · The test

Tested against the news, in public data.

We track major world events and look for movement on the escape routes. Consistent so far — and nowhere near proof.

+What we're tracking right now

Correlations between international political threats and movement on immediate escape routes. As the dataset grows we add signals — more corridors, aviation behavior, market stress — and keep testing. Where the data disagrees with us, the hypothesis changes. That's the job.

+2.7% vs +0.9%

Exit routes moved 3× more than control routes on event days

r = 0.684

Bigger events produced proportionally bigger spikes

Day-before

High-severity events showed movement before the announcement

2,383

Route-date-cabin series analyzed across live flight data

Read the Early Signals research →

A hypothesis, honestly held

We publish it so you can judge it.

The better our signals get, the better your decisions can be — and the decisions stay yours.

The deal

We never declare a threat or tell you when to leave. A FleeFirst text means one thing: a signal you chose crossed a threshold you set.