<|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 2018-11-15 23:00:01, CBCNL from company cbc tweeted. The tweet was "CBC's Carolyn Stokes and Ashley Brauweiler take advantage of the wind to test some outdoor activities #nlwx #cbcnl <hyperlink>". The most similar tweets were, 
1. On 2018-07-14 02:42:44, cbcsports handle of company cbc tweeted. The tweet was "Hold onto your hats, folks! 

It's a windy day in Calgary. Real windy. 😂🌬

<hyperlink> <hyperlink>". This tweet got 107 number of likes. 
2. On 2020-01-07 19:00:01, CBCNL handle of company cbc tweeted. The tweet was "Atmosphere: *snows*

Atmosphere: *snows more*

Newfoundlanders:

#nlwx #sendhelp <hyperlink>". This tweet got 3551 number of likes. 
3. On 2018-04-10 11:13:13, CBCNL handle of company cbc tweeted. The tweet was "How windy was it yesterday?

Here's Ryan Collins in Hare Bay. Photo credit goes to his six-year-old daughter.

Show us your #nlwx pics! <hyperlink>". This tweet got 89 number of likr 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
45<|im_end|>
