Methodology
LensCareer uses accepted community submissions, comparable currency groups, minimum sample thresholds, and percentile ranges to avoid overclaiming.
Sample floor
5+
The minimum for public percentile ranges.
Range method
P25 / P50 / P75
Quartiles show spread without exposing individual rows.
Privacy
Aggregate
Small or identifying sets are suppressed.
Salary inputs are reviewed before they become public signals.
Public calculations use salary rows that have passed the acceptance or moderation flow.
Ranges are calculated within comparable currency and filter groups instead of mixing unlike values.
Obvious spam, unsafe entries, and inconsistent submissions can be excluded.
The product is built to prevent a salary row from becoming a person lookup.
Names, emails, and direct identifiers are not shown on public salary surfaces.
Low-count combinations stay hidden because they may be too easy to attribute.
Extreme values can distort ranges, so suspicious inputs are reviewed before public use.
Percentiles describe the distribution, not a guaranteed offer.
About a quarter of accepted records are below this point.
The middle of the accepted sample after values are ordered.
About three quarters of accepted records are below this point.
Freshness labels help users judge whether a range is recent enough for their decision.
Public ranges update as new accepted submissions enter the comparable set.
Sample count, threshold, and latest update are kept close to salary ranges.
Salary intelligence is a market signal. It is not payroll advice, legal advice, or a guaranteed compensation outcome.