46,518
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4,945
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**1000 FACES** Where Are You On The 1-10 Looks Scale? Analytics Table
Income Estimates for **1000 FACES** Where Are You On The 1-10 Looks Scale?
Based on this YouTube video's total view count of 1.28M views and industry-standard rates, the estimated total earning is $900 - $2.57K through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.
About **1000 FACES** Where Are You On The 1-10 Looks Scale?
Explore **1000 FACES** Where Are You On The 1-10 Looks Scale? with 1,286,145 views, 46,518 likes, and 4,945 comments. Experience the impact of this video content that has captured audience attention.
😐 Get a Personal Face Rating & Looksmaxxing From Me (Formerly on Fiverr): https://ratebywaffles.com/ **NO CUSTOMER PHOTOS HAVE BEEN USED IN THE VIDEO** My rating service remains, and always will be 100% private and confidential. In this video, I provide data from 1000 guys faces, showing what ratings they received, how it's distributed against the 1-10 scale and how factors such as body type and balding impact the data. I am aware there are possible biases in the data (here is a list): 1. Slightly unattractive guys may be more likely to buy a rating if they’re self-conscious of their appearance 2. Very unattractive guys may be less likely to buy ratings as they already know what the deal is 3. My ratings are objectively subjective which could affect the data 4. Followers of this channel probably take looksmaxxing more seriously 5. Followers of this channel may be more self-conscious of their appearance 6. People with excess funds are more likely to buy a rating, therefore concentrating the consumer base from rich countries/neighbourhoods, which could also affect the data With these things taken into account, I still believe the data is accurate as there are factors that could both positively and negatively affect the results. So in theory they should cancel each other out. ▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬ 00:00 - Which Theory is Best? 02:11 - Face Data 06:29 - Body Data 10:01 - Age Data 12:17 - Ethnicity Data 13:23 - Balding Data 14:23 - Most & Least Important Factors
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