Numbers

Accuracy Percentages in Prediction Products

Play Big Small

Ninety-one per cent. Eighty-seven point three. Ninety-five on premium. These figures appear on nearly every product in the market and they are the single most effective element of the sales page. This is what a real accuracy record contains, and why almost none of these figures came from one.

In one line

An accuracy claim is a measurement. Ask what was measured, when, and where the losing calls went.

A real record

Four Requirements, All Cheap to Meet

Any product that had actually measured its accuracy would already possess all four, because it could not have measured anything without them.

Required

Calls logged before results

A timestamped record created in advance. Anything assembled afterwards is a memory of a sequence, and memories of sequences are reliably generous.

Required

Every call included

Losing rounds, skipped rounds, rounds where the signal changed. Excluding any category makes the percentage a description of the selection rather than the method.

Required

A stated period

Which dates, which operator, which round length. Accuracy over an unnamed window is not a figure, it is an adjective.

Never supplied

An independent check

Somebody with no revenue share reproducing the count. We have asked across dozens of products and have not received one.

Why precision sells

The Decimal Point Does the Work

Four ways these numbers are constructed, in rough order of how often we see them.

METHOD 01

Chosen for plausibility

Not measured at all. A round ninety looks invented, so the figure becomes 87.3% — high enough to matter, odd enough to look computed.

METHOD 02

Counted on winning calls only

Genuine arithmetic on a filtered set. Losing rounds are recorded as no signal, and the resulting percentage is technically true of a population that excludes the failures.

METHOD 03

Measured on training data

For products with a real model, performance on the examples it was fitted to. This can be pushed close to a hundred and tells you nothing about the next round.

METHOD 04

A live counter that resets

A visible figure that climbs during good runs and quietly restarts after bad ones. Users read it as a track record; it is a display of recent luck.

Any even-money call is right about half the time, and that is the whole distribution. A product claiming ninety per cent is not claiming to be good — it is claiming to have solved something that would be worth vastly more than a subscription fee.

What the claim implies
The ceiling

Where Real Figures Land

For an even-money call on a generated digit, this is the entire range that exists.

Correct calls, any method, long runThe structural rate for an even-money bet
0%100%
Best hundred-round result we have loggedWell inside ordinary variance at that length
0%100%
Typical advertised accuracyAcross apps, bots and channel sales pages
0%100%
Advertised figures backed by a published logOut of every product we have examined
noneall
What to ask

Five Questions for Any Accuracy Claim

Polite, specific and answerable if the figure is genuine.

Over how many calls, and between which dates?

The two facts that turn a percentage into a measurement. A figure with no denominator and no window has not been calculated from anything.

Does that include rounds where no signal was issued?

The most productive question in the list. A great many advertised figures are accurate arithmetic over a set that quietly excludes the misses.

Where is the log?

It either exists or it does not. Any team that measured accuracy has this file, because the measurement is a count performed on it.

How does it compare with random calls over the same rounds?

The control question. Without it, fifty-two per cent and ninety-two per cent are equally uninterpretable claims.

Who else has checked it?

Reproduction by somebody without a revenue share is the ordinary standard for any measured claim, and it is achievable here for the cost of a spreadsheet.

Why High Numbers Are a Warning Rather Than a Feature

A tool genuinely running at ninety per cent on an even-money bet would be worth more than every operator in the category combined, and it would be spent rather than sold. Nobody with that capability needs a subscription business, a Telegram channel or an advertising budget. The size of the claim is therefore inversely related to its plausibility, which is the opposite of how the number is intended to read.

The figures that would be interesting are unglamorous ones — fifty-four per cent over six hundred logged rounds with a control column. Nobody advertises that, because it does not sell, and because producing it honestly is difficult.

Producing a Figure of Your Own

You can generate a real accuracy number for any product in about an hour, and it will be the only measured one attached to that product. The sheet and the procedure are on the testing page; the only rules are that calls go down before results, and that nothing gets excluded afterwards.

For the broader picture of how these figures fit into the sales pages they appear on, start at the home page.

Accuracy FAQ

Only over a short, selected run, which is variance rather than accuracy. Sustained over hundreds of independent even-money rounds, it would be a finding worth far more than any subscription.

Because precision reads as measurement. A figure like 87.3% suggests a calculation happened, and nothing about producing that impression requires one to have happened.

About fifty per cent, the same as no tool. Anything in the mid-fifties over a hundred rounds is ordinary luck and would need several hundred more rounds to mean anything.

Rarely. Many are display elements that rise during good runs and reset quietly, which produces a number that always looks respectable at the moment you check it.

Not one that included losing calls, a stated period and a control column. The request is inexpensive to satisfy, which is what makes the refusals informative.

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