<|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 2020-12-28 15:59:34, bbcweather from company bbc tweeted. The tweet was "❄️More snow this afternoon in Newcastle-under-Lyme, Staffordshire. #ukweather 
📷Photo by #weatherwatchers Skippy. <hyperlink>". The most similar tweets were, 
1. On 2019-02-10 21:11:15, cbcnewsbc handle of company cbc tweeted. The tweet was "❄️❄️❄️❄️spotted from our Vancouver studio. Is it snowing where you are? <hyperlink>". This tweet got 126 number of likes. 
2. On 2018-09-03 20:21:52, CBCCalgary handle of company cbc tweeted. The tweet was "It's snowing on Highway 22 on the way back from the Crowsnest Pass before Chain Lakes, just east of the Bob Creek Wildland Provincial Park. No weather warnings in place, but be careful on those roads. (Photo: Estelle Ducatel) #ABRoads #WinterIsComing <hyperlink>". This tweet got 132 number of likes. 
3. On 2018-02-28 13:35:53, Independent handle of company independent tweeted. The tweet was "Brilliant time lapse shows London coated in heavy snowfall ❄️ <hyperlink>". This tweet got 127 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
