Methodology · tabiji.ai

How a tourist scam becomes a tabiji entry.

The end-to-end pipeline behind every published scam — the three-confirmation rule, the editorial bar, and one worked example with real source links.

Last updated: April 28, 2026 · Editor: Bernard Huang

Tourist-scam information online is scattered, outdated, and often anonymous. We built tabiji to fix that for ourselves and we publish it for free for everyone else. Below is exactly how a scam moves from a random Reddit complaint into the published archive — and the rule we use to throw out the ones that don't make it.

The three-confirmation rule

tabiji editorial standard

A scam ships only when we have three independent confirmations:

  1. A first-hand traveler report (Reddit, regional travel forum, or a reader email).
  2. A named press citation (national or regional outlet, dated, archived where possible).
  3. An official record (police arrest, embassy advisory, or tourism-authority warning).

If any one of the three is missing or stale, the entry stays in the staging file. We'd rather publish 800 verified scams than 1,500 plausible ones.

What disqualifies an entry

One worked example, end to end

Below: how Bangkok's "Grand Palace is closed" tuk-tuk gem scam moved through the pipeline. We picked this one because it's the most-documented tourist scam in Thailand — every step in the rule above has a verifiable public artifact.

Case study: the "Grand Palace is closed" tuk-tuk gem scam (Bangkok)

The pattern. A friendly local approaches a tourist near the Grand Palace, claims the palace is closed for a royal ceremony or Buddhist festival, and offers a "free" tuk-tuk tour to other temples. The tour ends at a gem store or tailor where high-pressure sales push purchases of ฿14,000–฿70,000 ($400–$2,000) of low-grade gemstones or shirts. The driver receives a 30–40% commission on anything sold.

The published entry: tabiji.ai/scams/bangkok/ (entry #1).

Step 1 · Pick up the signal

Traveler reports

The pattern surfaces repeatedly across travel-community discussion. We track it across:

One source gives us a hypothesis. We don't ship hypotheses.

Step 2 · Confirm with the press

Named publications, dated

For the Grand Palace scam we have multiple independent press citations from major Thai English-language outlets across more than a decade — which is exactly the longevity signal we want. A short list of the ones we cross-referenced for this entry:

OutletHeadlineDate
Bangkok Post Grand Palace touts nabbed 2018
Bangkok Post Tuk-tuk, gems swindling suspects arrested 2015
Khaosod English Thai Police Arrest 22 'Grand Palace Scammers' 2015-05-22
Khaosod English Police Arrest 21 People Over Long-Running BKK Gem Scam 2015-07-04
Khaosod English Tourist Touts, Khaosan Forgers Busted (Photos) 2017-02-22
The Nation Thailand Tuk-tuk scam threatens tourism reputation 2015

Two outlets is the minimum. Three or more is the bar for the books, where claims need to survive the longest re-verification cycle.

Step 3 · Confirm with the authorities

Police, embassy, tourism authority

Press alone isn't enough — a journalist may have repeated a complaint without independent confirmation. We require an institutional record: an arrest, an advisory, or an official warning. For the Grand Palace scam:

"If anyone, no matter how friendly or official they look, tells you a major temple is closed, they are lying."
— Tourist Police, public statement carried in multiple Thai outlets

Step 4 · Write, review, ship

Editorial review

Once the three-confirmation bar is cleared, the entry is drafted (with LLM-assisted research support — we use AI tools to surface candidate scams and produce initial drafts; read more on /about/). The draft includes:

Bernard Huang reviews every entry before it ships. Rebecca Leung sets the editorial standards the entry has to meet — voice, accuracy of detail, and the "would I send my parents into this?" filter that keeps the writing concrete instead of cautionary boilerplate.

The result: see entry #1 on tabiji.ai/scams/bangkok/.

How we keep entries current

Tourist scams evolve — counter-phrases stop working, new variations appear, prices drift. Our re-verification cadence:

Who actually does this

Two named editors, AI-assisted research tools, and a small set of named country contributors who verify on the ground. Full team and credentials on /about/.

What we publish vs. what stays in the staging file

As of April 28, 2026, we have 1,168 published scams across 123 countries. Roughly an additional 600–800 candidate patterns sit in our staging file — flagged in Step 1, missing one or both of Steps 2 and 3. They stay there until we can verify them. The 1,168 is the floor of what's actually been corroborated; the 1,800-ish is what we're not publishing because we can't.

17 countries currently have full Kindle atlases — those are the destinations where the entry density and re-verification cadence support a stable book edition. The other 106 have web entries only. Both formats use the same three-confirmation rule.

Corrections and disputes

If you spot an entry that's wrong, out of date, or misses a verification step, email [email protected] with subject line "Correction". Include the URL of the entry and the source you'd like us to consider. We aim to respond within a few business days. Material corrections are noted on the entry with the date and reason.

What we don't do