Editorial

Editorial policy

How the two-person desk picks topics, sources numbers, compiles and compares public data, writes risk language and handles corrections. Plain rules, written down once so we cannot bend them quietly.

1 · How a topic enters the pipeline

Three sources feed the topic list. Reader email — corrections, repeated questions, "I wish someone wrote about X" notes. Primary documents we read for our own portfolio — new attestation letters, regulator releases, court filings, exchange policy updates. Gaps between the published numbers and the marketing claim — an unexpected fee buried in a schedule, a bridge route the official table glosses over, a withdrawal allowance that does not match the help-page promise.

Wen Lu writes a one-paragraph proposal: what the piece is, why now, who reads it, what data has to be inside. Heng Zhou marks anything that needs a fresh transaction, a new disclosure pull or a regulator citation. If we cannot say what an article would add beyond what the issuer already publishes, the topic is dropped.

2 · Every operational number is sourced and dated

Every operational claim is tied to a verifiable source. When a piece talks about a fee figure, a bridge speed, a CEX confirmation count or a withdrawal allowance, it is compiled from the platform's published fee schedule, on-chain records and public incident reports, and the figure is quoted in the article with the date the data was read. Figures that move in real time — gas, P2P spreads, yield — are flagged as illustrative snapshots, not promises. Where a number cannot be independently confirmed, the article says so.

Numbers are pulled fresh. We do not republish a competitor's table. We do not quote a figure more than ninety days old without re-checking the source.

3 · Source rules for every number

Each numerical claim has a source category attached:

News outlets and second-hand reporting are not sources. If a Bloomberg or Reuters piece points at a primary document, we read that document and cite it directly.

4 · Risk language

Risk does not get buried at the foot of a piece. It sits in the first three screens. Specifically:

5 · Tone

Short sentences. Specific verbs. Documents named by document. No hype. No "as we all know". No "ultimate" anything. If we cannot say something plainly, the paragraph is not finished.

The desk has a short list of banned phrases — generic crypto marketing language we do not let into a final draft. The list is maintained by Wen Lu and applied at proofread.

6 · Corrections

Three rules, repeated from the corrections page for clarity:

7 · Conflicts of interest

The desk earns a referral service fee from Binance through code BN16188. That is the only commercial relationship on the site. It is disclosed at the top of every page, on the disclaimer and at the foot of any article that mentions Binance.

No issuer pays the desk. No exchange other than Binance pays the desk. No project provides "marketing tokens" in exchange for coverage. If a future commercial relationship is added, it goes on this page first.

8 · Use of AI tools

The desk uses AI tools the same way most editorial outlets now do — for brainstorming outlines, for first-pass language checks, for summarising long PDFs into reading notes. AI output never appears unedited on the site. Every published paragraph is written or re-written by Wen Lu or Heng Zhou after the source documents are read by hand.