<|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 2019-02-11 21:20:03, bbcweather from company bbc tweeted. The tweet was "Mesmerizing light pillars stretch into the night sky in Alberta, Canada. A local weather chaser duo captured the spectacular event first in the early morning hours of January 29th and again on Sunday night when temperatures plunged to -40C 🥶 <hyperlink>". The most similar tweets were, 
1. On 2019-02-12 19:51:20, CBCEdmonton handle of company cbc tweeted. The tweet was "Icy temperatures bring 'alien' light pillars to Alberta night sky <hyperlink> <hyperlink>". This tweet got 41 number of likes. 
2. On 2018-09-10 18:42:31, CBCEdmonton handle of company cbc tweeted. The tweet was "Snowtember: Summer snowstorm expected to hit western Alberta  <hyperlink> <hyperlink>". This tweet got 69 number of likes. 
3. On 2018-08-08 18:29:15, CBCCalgary handle of company cbc tweeted. The tweet was "Forecast high of 37 C for Calgary would be hottest day ever recorded in the city <hyperlink> <hyperlink>". This tweet got 45 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
