<|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 2018-02-23 22:30:15, CBCToronto from company cbc tweeted. The tweet was "Say goodbye to the salesperson knocking on your door to ask when you last cleaned your ducts as Ontario bans door-to-door sales <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-10-09 18:27:00, CBCOttawa handle of company cbc tweeted. The tweet was ".<mention> wants a short-term fix to the door problem that's caused two straight days of rush hour chaos: <hyperlink>

#ottnews #ottawa #OttawaLRT <hyperlink>". This tweet got 47 number of likes. 
2. On 2020-11-13 17:58:32, CBCToronto handle of company cbc tweeted. The tweet was "Officials beg Torontonians to stop socializing with those not in their households — including outdoors <hyperlink> <hyperlink>". This tweet got 97 number of likes. 
3. On 2020-03-16 20:26:54, CBCToronto handle of company cbc tweeted. The tweet was "Stop serving customers except for takeout and delivery, Toronto health officials tell restaurants, bars <hyperlink> <hyperlink>". This tweet got 59 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
119<|im_end|>
