Casual dating apps are built on proximity. Meeting someone nearby is the point, so location is not an incidental permission — it is the core input to the product.
That creates a tension the category has never fully resolved: the more precisely an app reports distance, the more useful it is and the more it reveals.
How location is presented
The problem precise distance creates
If an app reports distance precisely and updates as a user moves, a determined observer taking readings from several positions can narrow down where someone is. This is a known weakness of proximity features generally, not a defect unique to any one app, and it is the reason the better implementations do not report fine-grained distance at all.
The important detail is where the rounding happens. An app that computes a precise distance and then displays a band has not solved anything if the precise value is available to anything else. An app that snaps a user’s position to a coarse grid before any distance is calculated has removed the precision from the system rather than from the screen. From outside we generally cannot tell which an app does — and that is exactly the kind of thing an app could say and mostly does not.
What good handling looks like
Coarse granularity by default, with precision as an opt-in rather than the reverse.
Rounding applied before computation, and said out loud in the privacy documentation.
A hide-distance option that does not exclude the user from matching. Where hiding distance makes a user invisible, it is not a real option.
Explicit control over background collection. Whether an app collects location only when open, or continuously, is a substantive difference and belongs in a setting the user can see.
Travel mode that actually replaces location rather than layering a display preference over live data.
What a user should do
Check whether the app requests location always or only while in use, and choose the latter where the platform allows it. Look for a distance-granularity setting, which more apps have than advertise. Assume that any distance shown to others is approximately accurate and behave accordingly — in particular, do not treat a hidden-distance setting as anonymity.
And the standing point: proximity data is most sensitive at the beginning of an interaction, when you know least about the person reading it. Meeting in a public place is a location-privacy measure as much as a physical-safety one.
The settings worth finding
Because the useful controls are frequently present and rarely surfaced, it is worth knowing what to look for.
In the operating system, check whether the app holds location permission always or only while in use, and prefer the latter — most of these apps function perfectly on while-in-use, and the difference in what is collected is substantial.
In the app itself, look for a distance-display setting, which is more common than its prominence suggests, and for any option controlling granularity rather than merely visibility. If a travel or passport feature exists, read its description carefully to establish whether it substitutes your location or only what is displayed.
Finally, look at the privacy documentation for any statement about how position is processed before distance is computed. It is a short thing to check, most apps say nothing, and the ones that do have told you something their competitors have not.
Pros and cons
Verdict
Our assessment is that location handling has improved at the surface and remains opaque underneath. Banded distances are now normal, which is genuinely better than the fine-grained figures the category started with. But display granularity is not the same as data granularity, and an app that will state plainly in its privacy documentation that it coarsens position before computing anything is telling users something no competitor’s screenshot can. Until more of them do, the sensible assumption is that your approximate area is known to anyone you match with, and that is a reason to keep first meetings public rather than a reason to avoid these apps.
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