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Found 2 results

  1. Hobbit Sponsors Christmas

    Twas the noon before Christmas and Hobbit was in the mood for good cheer, so he reached out to lovely ladies to see whose stocking to stuff when two appeared: 10:03 am - Lovely 1 (No name) Hobbit: Hi there. I'm Miguel. Sure like what I see on STG and would like to connect around noon. May I know your incall donations? Lovely 1: QV $$$ HH $$$ H $$$ (Same donations) Hobbit: Can you host from your private residence? Lovely 1: No from my room Hobbit: OK thx Lovely 1: Cop. Thanks for wasting my time spick. Hobbit: Lol 9:56 am - Lovely 2 (advertised name and private residential incall): Hobbit (copy and paste): "Hi" XXX, I'm Miguel. Sure like what I see on STG and would like to connect around noon. May I know your incall donations? Lovely 2: Hey Miguel ###hh ###hr Hobbit: Thx. What major intersection? Lovely 2: Off of @ street. Age and ethnicity? Hobbit: 49 Latino (A half hour passes) Lovely 2: Ok so you want to come at noon? Hobbit: Yes please 😁 Lovely 1: Ok for how long hun? Hobbit: I'd like a hh to start Lovely 1: Cool I'll send you the address at 11:30 is that good? Hobbit: Yes please 😁 (11:31 am) Lovely 1: Hey hun. Are we on for 12:00 Hobbit: Yes please 😁 Lovely 1: Cool. It's #### ABCDE Ct. No fanfare. No stank. No sass. Guess who's Christmas Hobbit sponsored with cheer?
  2. Clearly the reviews have been converted with massive grade inflation. Whatever conversion algorithm was used needs to be explicitly stated, and should be modified. In my case I have given actual and explicit L,S,A (looks, Service, and Attitude) scores for all of my reviews, but the conversions gives the same value to Looks and Service, turned all the good sessions into perfect L=10, S=10 scores, and 3Gs into L=S=7, and ignored the actual Looks and Service scores explicitly in the reviews. Giving 3G sessions L=S=7 is absurd and shows built in grade inflation to the point of a worthless review system. If I was going to make a conversion algorithm, I would assign service points for each activity listed even though some would find such a scoring distatasteful, but for an automated conversion it makes sense. Looks would be much harder to convert without serious AI, but assigning L=S is ridiculous. My experience is often anti-correlated with the best service from older and less stunning providers who dont have to just rely on looks. That is also why I like an attitude score, since attitude really determines the quality of a session, and if I will return. I would suggest adding A=attitude, and following the old WSG L,S,A scoring paradigm. So what was the conversion algorithm used?