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How normal am I?

hownormalami.eu

211–220 of 323 posts

Re: How normal am I?

#213
I'm more beautiful using my laptop camera (6.7) than my cellphone (5.6). I was serious on the cellphone and smiling on the laptop, this could also have tipped the scales.

Re: How normal am I?

#214
post #213

I'm more beautiful using my laptop camera (6.7) than my cellphone (5.6). I was serious on the cellphone and smiling on the laptop, this could also have tipped the scales.

Also, my profile gets a higher score than the front of my face (8.2)

Re: How normal am I?

#215
post #214
post #213

I'm more beautiful using my laptop camera (6.7) than my cellphone (5.6). I was serious on the cellphone and smiling on the laptop, this could also have tipped the scales.

Also, my profile gets a higher score than the front of my face (8.2)

it also thinks that I'm younger than I really am.

Re: How normal am I?

#216

Earlier quoted context omitted.

Insurance companies hire very smart actuaries... and thus currently use actuarial models. Actuarial models aren't perfect either. However, throwing them out to use one of these machine prediction models would almost certainly be a disaster for the insurance company. And there is currently a lot of competition for life insurance.

Using this sort of data to enrich and refine existing data, vs throwing current stuff all out in favor of this newer data... that's what I'd expect (enrichment vs replacement). I'm fairly confident insurance companies have areas in their models where they know there's stuff they don't know. If more data can enrich their models to provide better accuracy, why wouldn't they?

Perhaps, but the demo did not show anything an insurance company would not already know. But as a wider observation, financial products are already based on models even though none of them are perfect. Making those models better isn't really a bad thing.

Re: How normal am I?

#217
post #119

I think many people commenting on the model making bad predictions are missing the point. The speaker argues that even though models are known to be inaccurate, companies like tinder or insurance companies might still use the model outputs since they have nothing better. Therefore, in some future (or already today?) you can suffer from bad model predictions because you are "not normal enough" for the model to make go…

This isnt an usolvable problem though since you can calculate the strength of model fit for a particular data point. You learn how to do this with linear models in stat 101 so everyone who is paid to be a datascientist will no doubt understand this.

Re: How normal am I?

#219
post #215
post #214

Earlier quoted context omitted.

Also, my profile gets a higher score than the front of my face (8.2)

it also thinks that I'm younger than I really am.

not gonna lie, I'll probably use this new information about my pictures to hack my tinder profile.

Re: How normal am I?

#220
post #96
post #39

It underestimated my age by 15 years. Not sure if this is due to the AI being biased or simply inaccurate in general. (I'm Asian, and from the experience of me and others, Asians tend to get their age greatly underestimated in the west.)

I am 39 and it estimated my age as 10. I am not Asian.

I'm also not Asian. In late 30s and it guessed that I'm 7...
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