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One Account / The signals compared
Nine inputs, three kinds

What is actually compared, and what each signal proves

A linkage decision is built from a short list of inputs, and each one proves something narrower than it looks. This page takes the nine signals in turn - identity fields, verified documents, contact details, payment instruments, device and network, and behaviour - and sets out what each can and cannot establish.

Joins the two: one artefact, one person expectedKeeps them apart: a verified fact that differsA person decides: an overlap a household also produces
Direct answerOperators compare identity fields, verified documents, contact details, payment instruments, device and network identifiers, and behaviour. Strengths differ sharply: a second passport or a second verified bank account is close to conclusive that two accounts are two people, while a shared address, a shared router or a shared browser is weak evidence that may be explained by a household. A payment instrument in one name appearing on two accounts is the mid-strength signal that most often decides a case on its own.

The three kinds of signal

kind 1

joining Artefacts that should be unique to one person. A card number, a wallet address, a mobile number that has passed a verification text, a verified email address. Weak individually, decisive in combination - their whole value in a comparison is that one person is expected to have one.

kind 2

separating Verified facts that differ. Two different legal names, two different passport numbers, two payout accounts in two different names. These are the only inputs that can positively establish that the accounts are not one person, which is why they are the strongest evidence a reader can supply.

kind 3

ambiguous Shared merely because people share. A postal address, a home network, a family device, a surname. Real overlaps, no proof, and the reason a review band exists between the automatic outcomes.

Worked example - how much a shared device really proves (illustrative) One household, one laptop, 30 days, two accounts. Sessions recorded in the period: 47. Sessions from the household device: 38 - 38 ÷ 47 = 80.9%. The same two accounts are never open at the same moment in any of the 47 sessions: overlap in time 0. So the device overlap is large and real - 81% of sessions share one identifier - and the behavioural signal is silent, because one person cannot be in two sessions at once and neither can two people using one laptop at different hours. What that means for the decision is the honest part: a device match of this kind is exactly what a household produces and exactly what a second account produces, and no amount of arithmetic on the sessions separates the two. The separating input has to come from outside the data, which is why a reader's own document is the only thing that moves a case in this shape.

The signals, one at a time

  1. Name and date of birth. A perfect match may be one person typing twice, a coincidence, or a relative who shares a birthday. A mismatch usually means two people - unless the second record was opened with another person's details, which is a different and more serious problem than duplication.
  2. Verified documents. The strongest separating input available. Two identities that both passed verification are two legal persons as far as the operator is concerned, whatever else overlaps, because verifying two different passports against two different faces is hard to do for one person.
  3. Contact details. An email address or a mobile number that passed a verification step is a mid-strength signal. Households do share a landline and sometimes an email; a verified mobile number is more often personal than not, which is where its weight comes from.
  4. The payment instrument. The signal that decides most cases on its own, because the terms separately require the holder's own funds and because a card number is a hard identifier issued to one person. It is also the signal a household most often shares by accident.

Behaviour, and why it is not evidence

The behavioural layer - session timing, stake shape, whether two accounts are ever used simultaneously - is genuinely useful to an operator and genuinely weak as evidence. Simultaneous activity is the closest thing to a proof of two people that a pure log file can produce, and it is not a proof: two people can play at different hours, and one person can play from two devices at once. The honest position is the one the comparison page takes: behaviour informs a review, and it does not decide one.

The corollary is worth stating because it is the reader's actual problem. Nothing in the signal set establishes who is typing. A decisive result means the operator's own rules have been met - a count of shared identifiers crossing a threshold it published - rather than that a human has been identified twice. That gap is not a loophole in the operator's position and it is not a defence for a reader; it is simply the shape of an inference built on identifiers, and it is why the mechanisms here read as data-handling rather than as detective work.

What a reader can see, and what they cannot

A reader can see their own declared details, their documents, their contact details and their payment instruments. They cannot see the device fingerprints, the network identifiers or the derived counts the operator holds. That asymmetry has one practical consequence and it runs through the whole desk: a reader cannot audit the comparison in advance, so the useful work is to know which of the nine signals they share with anybody else, and to be able to name the ones they do not.

What this page will not list. It does not reproduce a named operator's signal weights, and it does not describe how any of the nine can be altered, hidden or worked around. Two of the nine - the verified document and the honest explanation of a shared instrument - are the only levers a reader legitimately has, and the appeal page is where they are used.