<|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 2020-10-06 13:09:00, BBCBreakfast from company bbc tweeted. The tweet was "Have you noticed roads being blocked off to cars near to where you live? This borough is divided over their controversial Low Traffic Neighbourhood scheme 🛑🚘
<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-10-14 18:45:00, Independent handle of company independent tweeted. The tweet was "Large crowds party on streets ahead of new Covid restrictions in Liverpool <hyperlink>". This tweet got 69 number of likes. 
2. On 2019-03-06 09:50:04, CiscoUKI handle of company cisco tweeted. The tweet was "Newcastle may have the UK's smartest street 🧠 but how can it help local authorities tackle crucial issues? <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-05-23 00:00:39, CBCToronto handle of company cbc tweeted. The tweet was "New developments casting a shadow on your neighbourhood? Here's how the city is responding. <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
