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Data Error 507: Probably wrong female gender

Privacy Level: Public (Green)
Date: 1 May 2016
Location: Worldwidemap
Surnames/tags: data_doctors db_error_507
This page has been accessed 572 times.

Categories: DD Suggestions Help.

Description of Error - 507: Probably wrong female gender

Person with this name should statistically be female, but is defined as male. So probably gender is wrong or name is incorrect.

Content of info column: Empty.

Possible Causes

Wrong gender or name entered.

Action Steps

Change gender or set status as False error. And also add sources that prove the fact.

Error Status

For each Error you can set status. You can set it as Corrected, Not corrected, False Error, Proposed merge or just add a Comment.

If there are related errors for the profile, you will also see them on status page.

Full description is available on Status Help Page.

Questions and Discussions on this Error

You can read what other people have asked here db_error_507.

You can also share your best practices, experiences, problems about this Error by posting a questions in G2G. If you create a new G2G discussion for this Error add tag data_doctors and db_error_507.

Technical Stuff

In case of multiple names they are checked as one name, since order of the names is also important. Gender of a name is derived from database by sampling data.

  • If name appears more than 50 times and 90-97% of persons with this name have female gender and more than 2% have male gender then gender probably is female
  • If name appears more than 50 times and 70-90% of persons with this name have female gender and less than 2% have male gender then gender probably is female
  • If name appears less than 50 times and 90-100% of persons with this name have female gender then gender probably is female
  • If name appears less than 50 times and 70-90% of persons with this name have female gender and less than 10% have male gender then gender probably is female
  • If name is classified as bisexual or unsure and consists of multiple name, then if all names are definitely male/female, then gender is probably male/female.

So with entering missing names and correcting false genders, quality of finding wrong gender increases.

Here you can check gender assignment for any name https://wikitree.sdms.si/wikitree/ShowFirstNames.htm

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