<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-12-16 22:00:00, Google from company google tweeted. The tweet was "The North Pole Broadcasting Channel presents Celebrity Watch: 

North Pole Fashion Police spotted a whirlwind of sweaters taking the Village by snowstorm this week. ❄️ Bring your own fashions to life in Elf Maker → <hyperlink> #santatracker <hyperlink>". The most similar tweets were, 
1. On 2018-12-19 15:48:50, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "weird how much we relate to elf at all times <hyperlink>". This tweet got 168 number of likes. 
2. On 2019-12-18 19:37:53, WalmartInc handle of company walmart tweeted. The tweet was "The ugly sweater trend is popping up in unexpected places – even <mention>. Here, we examine the phenomenon of the tacky 🎄 Christmas 🎅 sweater and its place in pop culture: <hyperlink> <hyperlink>". This tweet got 6 number of likes. 
3. On 2020-12-07 17:00:36, WalmartWorld handle of company walmart tweeted. The tweet was "Festive flex 🎅💪 Rob, the store lead at Store 26 in Leavenworth, KS, might have one of the best Christmas sweaters we have ever seen 😎👏 <hyperlink>". This tweet got 12 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
