A gender swap, as WhatSphere records it, is a character whose gender on screen differs from the gender that character held in the source material an adaptation draws from. Like the race-swap measure, it is logged only for adaptations, only for individual named characters, and only where the source establishes a gender to change. Across the catalog the model currently identifies 9 such changes across 6 titles — a deliberately small, precisely scoped figure rather than a sweeping cultural claim.
This is one of the clearest cases where the data contradicts the volume of the conversation. Gender-swapped casting is a recurring flashpoint in entertainment discussion, yet the number of confirmed, source-anchored instances in the catalog is presently very low. That gap between perceived frequency and measured frequency is itself the finding.
How WhatSphere measures this
For every adaptation, named characters are compared against their source counterparts. When a character’s established source gender differs from the on-screen portrayal, the change is recorded with its direction — male-to-female or female-to-male — along with the billing tier of the role and the year of release. Reframings that have no fixed source gender to depart from, and entirely new characters, are excluded by design. Every figure here is generated by WhatSphere’s scoring model, not by a critic’s judgement. Scores describe who a title appears to be made for and how its content is composed; they are not ratings of quality, and a higher or lower number is never a verdict on whether a title is good.
What the data shows
Of the 9 recorded changes, 9 run male-to-female and 0 run female-to-male. With totals this small, the split is best read as a list of specific cases rather than a ratio: a handful of named recastings, each tied to a single adaptation, not evidence of a directional wave. The linked titles below include the specific films in which these changes occur alongside the broader set of adaptations the catalog has examined.
It is worth stating plainly what a low count does and does not mean. It does not mean gender-swapped casting never happens or is never noticed; it means that, within the adaptations researched so far and under a strict definition that requires a fixed source gender, very few instances have been confirmed. A looser definition — one that counted reimagined ensembles, ambiguous sources, or newly invented characters — would produce a larger number, but it would also measure something less precise.
Because the confirmed cases that do exist happen to run in the same direction, it is tempting to read a pattern into them. With a sample this small that reading is not supported: two or three cases tell you those specific recastings occurred, and nothing about a rate or a direction across the industry. The value of each entry is its specificity — a named character, a named source, and a confirmed change — not the aggregate, which is presently too thin to carry any weight at all.
Caveats and limitations
The count is small enough that it should be read case by case, not as a rate. It is also sensitive to coverage: it reflects only the adaptations that have been added and matched against their sources, and it will shift as that set grows. Because the measure requires an established source gender, characters whose source leaves gender open are not counted in either direction — an exclusion that keeps the figure conservative rather than inflated.
Why it matters
When a topic is discussed far more often than it is counted, a measured baseline is the most useful thing a dataset can offer. Recording gender-swapped casting at the level of individual, source-verified characters lets a reader replace an impression of how common the practice is with an actual number, and to see each instance in the context of the specific adaptation it belongs to rather than as part of an undifferentiated trend.
