<|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 2018-05-30 12:16:20, BBCScotlandNews from company bbc tweeted. The tweet was "Scheme that uses specially designed bikes to take elderly people on rides in an effort to tackle social isolation is to be rolled out across Scotland <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-09-16 11:11:18, CBCLondon handle of company cbc tweeted. The tweet was "London couple to give away hundreds of bikes - for free <hyperlink> <hyperlink>". This tweet got 71 number of likes. 
2. On 2019-07-19 13:00:01, HSBC_UK handle of company hsbc tweeted. The tweet was "Get on your bike with HSBC UK and <mention>. Anyone can take part in our 13 HSBC UK #LetsRide events this summer <hyperlink>". This tweet got 55 number of likes. 
3. On 2019-01-20 15:00:00, CBCTheNational handle of company cbc tweeted. The tweet was "British mail carriers are testing out a project that could help lift elderly customers out of loneliness — and the health risks that come with it. #TheFix <hyperlink>". This tweet got 184 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
