this post was submitted on 14 Dec 2023
197 points (95.8% liked)

News

22890 readers
4133 users here now

Welcome to the News community!

Rules:

1. Be civil


Attack the argument, not the person. No racism/sexism/bigotry. Good faith argumentation only. This includes accusing another user of being a bot or paid actor. Trolling is uncivil and is grounds for removal and/or a community ban.


2. All posts should contain a source (url) that is as reliable and unbiased as possible and must only contain one link.


Obvious right or left wing sources will be removed at the mods discretion. We have an actively updated blocklist, which you can see here: https://lemmy.world/post/2246130 if you feel like any website is missing, contact the mods. Supporting links can be added in comments or posted seperately but not to the post body.


3. No bots, spam or self-promotion.


Only approved bots, which follow the guidelines for bots set by the instance, are allowed.


4. Post titles should be the same as the article used as source.


Posts which titles don’t match the source won’t be removed, but the autoMod will notify you, and if your title misrepresents the original article, the post will be deleted. If the site changed their headline, the bot might still contact you, just ignore it, we won’t delete your post.


5. Only recent news is allowed.


Posts must be news from the most recent 30 days.


6. All posts must be news articles.


No opinion pieces, Listicles, editorials or celebrity gossip is allowed. All posts will be judged on a case-by-case basis.


7. No duplicate posts.


If a source you used was already posted by someone else, the autoMod will leave a message. Please remove your post if the autoMod is correct. If the post that matches your post is very old, we refer you to rule 5.


8. Misinformation is prohibited.


Misinformation / propaganda is strictly prohibited. Any comment or post containing or linking to misinformation will be removed. If you feel that your post has been removed in error, credible sources must be provided.


9. No link shorteners.


The auto mod will contact you if a link shortener is detected, please delete your post if they are right.


10. Don't copy entire article in your post body


For copyright reasons, you are not allowed to copy an entire article into your post body. This is an instance wide rule, that is strictly enforced in this community.

founded 1 year ago
MODERATORS
 

A major credit union serving military members and veterans rejected more than half of its Black conventional mortgage applicants

you are viewing a single comment's thread
view the rest of the comments
[–] reliv3@lemmy.ml 8 points 9 months ago (2 children)

"Notably, Navy Federal approved a slightly higher percentage of applications from White borrowers making less than $62,000 a year than it did of Black borrowers making $140,000 or more."

I don't know man. Like, I agree that data is missing, but the data they did pull is very damning. Like how is there a higher approval % of white applicants making less than half the yearly salary of black applicants?

[–] Furedadmins@lemmy.world 0 points 9 months ago

The poorer people are likely applying for smaller loans so the income to loan ratio could be better.

[–] krellor@kbin.social 0 points 9 months ago* (last edited 9 months ago)

That's a good point, though the whole thing is weird. I went back and reread the article and this jumped out at me as well:

By some measures, Navy Federal has been successful at lending to minority borrowers: A fourth of its conventional mortgage applicants are Black, and about 18% of the conventional loans it originated went to Black borrowers – a larger portion than almost any other large lender.

It feels like they have some biased criteria in their approval process, but would really need the data to show it. They originate a higher percentage of conventional loans to black borrowers, but possibly as an artifact of having more apply.

One possible reason for the discrepancy with approval rates and income could also be cost of living areas. It would make sense that higher salaries also correlate to more expensive areas.

It would be nice if they shared their statistical results that they talk about being embedded in their processes to prevent bias so we could see what they are keying off of.