<|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 2018-06-25 20:17:39, bbceastenders from company bbc tweeted. The tweet was "Modern Day Problems #1
People walking down the street staring at their mobiles. #EastEnders <hyperlink>". The most similar tweets were, 
1. On 2019-07-04 15:35:39, 1jamiebell handle of company bell tweeted. The tweet was "Brits hiding in plain sight. #4thofJuly <hyperlink>". This tweet got 542 number of likes. 
2. On 2020-03-28 16:07:00, AMCtvUK handle of company amc tweeted. The tweet was "Life on the road can be thirsty work, who else would like a tea break with Norm? ☕ <hyperlink>". This tweet got 5 number of likes. 
3. On 2020-08-07 14:49:58, aaroadwatch handle of company aa tweeted. The tweet was "Take care on the roads this weekend - we've seen a large increase in road incidents lately. 

In particular, give extra space to pedestrians &amp; cyclists, who still need more room for social distancing.

Find out what to do if you come across an incident: <hyperlink> <hyperlink>". This tweet got 0 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
