Editorial Policy

Cult of Money checks every fact against a primary source, corrects mistakes in the open, and has an editor review and sign off on every page before it's published. This policy covers how we source our work, how we fix errors, how we use AI tools, how we handle conflicts of interest and why we never predict prices.

Quick Take

  • Facts come from primary sources first: regulators, court filings, the company's own pages and our own measured data.
  • AI tools help us draft, and an editor reviews, checks and signs off on every page before it goes live.
  • We don't make price predictions or tell readers to buy or sell anything.

Our Sourcing Standards

Every fact on Cult of Money traces to a source a reader can check, and we choose the most direct source available. In order of preference:

  1. Regulators and courts: agency orders and press releases, court filings, laws and official registers, such as the SEC, the CFTC, the IRS, state regulators and their counterparts abroad
  2. The company itself: its fee schedule, terms of service, help pages, status page or public filings
  3. Data we collect ourselves: our own price, cost-to-buy, yield and status data, labeled as Cult of Money data, with the method published on our price, exchange and yield methodology pages
  4. Public datasets: sources such as DefiLlama, credited by name wherever we use them
  5. Other reporting: only when no primary source is available, and always attributed to the outlet

We don't copy rates, fees or methods from comparison sites, and we don't publish a company's claims as fact. When a company says something we can't confirm, we attribute it ("the company says") or leave it out.

Fees, rates, state availability and company status are checked on the company's own pages before every update. Pages show the date their data was last checked, and live data shows its own timestamp.

How We Correct Errors

When we get something wrong, we fix it and say so. If you spot an error, tell us through our contact page with a link to the source if you have one. An editor reviews every report within two business days.

How we handle a correction depends on what changed:

  • Errors of fact, such as a wrong fee, rate, date or name, are corrected on the page, with a note at the bottom saying what changed and when.
  • Errors that change a score or ranking get the same note, and the score is recalculated under the published method.
  • Typos and broken links are fixed without a note.

We don't quietly rewrite a page to hide a mistake. A correction requested by a partner goes through the same process as anyone else's, and it has to be backed by a primary source.

How We Use AI Tools

AI tools help us draft pages, summarize long filings and turn our own data into first drafts, such as a weekly report on the lowest-cost place to buy bitcoin. An editor reviews and signs off on every page before it's published, and no page goes live on an AI draft alone.

The editor's review covers:

  • checking every number, date and claim against its source
  • removing anything that can't be confirmed, or marking it for more reporting
  • confirming the page follows the no-predictions rule and the rules on how we make money
  • signing off by name before the page is published

We don't use AI to invent quotes, reader stories, test results or first-hand experience. When a page describes hands-on testing, a person did the testing.

Conflicts Of Interest

Some companies we cover pay us when readers sign up through our links. That money never changes a score or ranking, and our rules for keeping it that way are on how we make money. Partners don't see drafts and can't approve or edit what we publish.

Writers and editors must disclose any crypto they hold that a story is about, and the disclosure appears on the page. Staff don't accept gifts, paid trips or free tokens from companies we cover.

Sponsored content, where it runs, is labeled as sponsored and kept apart from news. Sponsors have no say in our news coverage, rankings or reviews.

Our No-Predictions Rule

Cult of Money doesn't make price predictions. We don't publish price targets, forecasts of where a coin is headed or advice to buy, sell or hold any crypto asset.

We explain what moved a price, what a coin does, what it costs to buy and what can go wrong. When a reader asks whether a coin is a good investment, we answer with the factors to weigh, not a yes or no.

When a forecast is the news, such as a company's own projection or a prediction market's odds on a regulatory decision, a news story can report it, attributed to its source. We never present a forecast as our own view.

What To Watch Out For

Even with these rules, crypto information goes out of date fast. Fees, rates and state availability can change between our checks, so confirm the details on the company's own site before you act.

Nothing on Cult of Money is personal financial advice. For decisions that depend on your own taxes, income or retirement plan, a licensed professional can look at your full situation.

FAQ

Does Cult Of Money Use AI To Write Articles?

AI tools help us draft, summarize and turn our data into first drafts. An editor reviews, fact-checks and signs off on every page before it's published, and we never use AI to invent quotes, test results or experience.

How Do I Report An Error On Cult Of Money?

Use our contact page and include a link to the source if you have one. An editor reviews every report, and corrections to facts are noted at the bottom of the page with the date.

Do Partners Get To Review Articles Before They're Published?

No. Partners don't see drafts, scores or rankings before publication and can't approve or edit them. A partner who finds a factual error goes through the same corrections process as any reader.

Why Doesn't Cult Of Money Predict Crypto Prices?

No one can reliably say where a crypto price is headed, and a prediction can push readers into decisions they wouldn't otherwise make. We focus on what we can measure and check: costs, risks and how things work.

Where Does Cult Of Money Get Its Data?

Cult of Money collects its own price, cost-to-buy, yield and exchange status data, and our methodology pages explain how each is built. We also use regulators' records, company disclosures and public datasets such as DefiLlama, credited by name.