Why Two Charts Can Disagree Using the Same Data
Launch library · evergreen read
Two compilers can genuinely start from the very same underlying raw data and still arrive at noticeably different final rankings, simply because they applied different weighting formulas, different eligibility windows, or different tie breaking rules to that exact same shared dataset collected over the very same period. Both compilers can be entirely competent and thoroughly professional and still land somewhere noticeably different in the very end. Neither one is secretly getting the underlying facts wrong.
This is not evidence that either compiler made some kind of outright error, it simply reflects that a ranking is never a pure, neutral reflection of raw data alone, it is always data filtered carefully through a set of deliberate, considered methodological choices made by real people.
Understanding this helps explain why fans sometimes see two seemingly authoritative charts disagree noticeably about the very same release in the very same week, without either chart actually being wrong in any meaningful sense at all, once the methodology is properly understood. A little curiosity about the rules resolves most of that apparent confusion.