<|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 2019-11-17 10:54:20, bbcweather from company bbc tweeted. The tweet was "Monday night into Tuesday is likely to be the coldest night of the week for many of you 🥶 Freezing fog patches likely for some too
Matt <hyperlink>". The most similar tweets were, 
1. On 2020-11-16 20:09:45, HomeFreeGuys handle of company free tweeted. The tweet was "The Warmest Winter Holiday Special airs the first week of December with 6 shows and we are hanging out with all of you for each stream!

Like this tweet if you’re planning to buy a ticket and comment a ❤️ if you already bought yours!

<hyperlink> <hyperlink>". This tweet got 121 number of likes. 
2. On 2018-11-15 19:58:08, cbcotttraffic handle of company cbc tweeted. The tweet was "SNOW: In case you're wondering, tomorrow would be a good day to work from home. Snow starts tonight around 10 p.m. and carries through to tomorrow's morning AND afternoon commutes. <mention> just broke the news to me. #otttraffic #ottweather #ottnews <hyperlink>". This tweet got 65 number of likes. 
3. On 2019-03-16 04:19:50, HomeFreeGuys handle of company free tweeted. The tweet was "Weather's looking good for this evening <mention>, or at least better than last night. Anyone see that crazy lightning strike last night? #cmcrocks2019 <hyperlink>". This tweet got 96 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
