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Surnames/tags: data_doctors db_error_503




Description of Error - 503: Probably wrong male gender
A person with this name statistically is male, but the gender is set as female. Either the gender is wrong, or the name is incorrect. If the name and gender are correct, set this error status as false.
Content of info column: Empty
Video
Suggestion 503 Probably Wrong Gender (Male)Topic Video: Gender: Mr E or Ms Take?
Possible Causes
Wrong gender or name entered.
Action Steps
Change gender or name or mark this error false. And also add sources that prove the fact.
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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_503.
You can also share your best practices, experiences, problems about the Error by posting a question in G2G. If you create a new G2G discussion for this Error, add tag data_doctors and db_error_503.
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 male gender and more than 2% have female gender then gender probably is male
- If name appears more than 50 times and 70-90% of persons with this name have male gender and less than 2% have female gender then gender probably is male
- If name appears less than 50 times and 90-100% of persons with this name have male gender then gender probably is male
- If name appears less than 50 times and 70-90% of persons with this name have male gender and less than 10% have female gender then gender probably is male
- 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 explore gender assignment for any first name.
Suggestion reports
You can see the weekly prepared list of the latest suggestions prepared on March 19th 2023. You can also get the online report on WikiTree+.- This page is part of the Data Doctors Project.
- Latest report: March 19th 2023.
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