<|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 2018-03-01 16:55:00, BBCSpringwatch from company bbc tweeted. The tweet was "☃️❄️ Slips, trips and falls... take care out there people... and don't do a Chris Packham!! ☃️❄️ #BeastFromTheEast #uksnow #Winterwatch <hyperlink>". The most similar tweets were, 
1. On 2018-01-23 17:18:37, CBC handle of company cbc tweeted. The tweet was "Share your idea of a perfect winter escape on #TravelTuesday! <hyperlink>". This tweet got 74 number of likes. 
2. On 2019-01-07 19:01:06, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "for those of us who'd prefer rolling around in a field of flowers to a pile of snow:
<hyperlink> <hyperlink>". This tweet got 179 number of likes. 
3. On 2018-02-26 08:23:28, MetroUK handle of company metro tweeted. The tweet was "Is it snowing where you are? It's snowing where we are. 

The #BeastFromTheEast has arrived. Help. 🌨️ <hyperlink>". This tweet got 83 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
