<|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 2019-01-10 10:21:09, bbc5live from company bbc tweeted. The tweet was "This is why <mention> won’t stop talking about the NHS…
 
Download the whole interview with <mention> #HeadlinersPod w/ <mention>👇 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-11-20 18:36:52, PaulWilliamsLAB handle of company williams tweeted. The tweet was "Brexit is bad for the NHS. 🚑

I've just spoken to <mention> on <mention> about why myself and other Doctors in Parliament are calling for a <mention>. <hyperlink>". This tweet got 512 number of likes. 
2. On 2020-04-09 14:59:56, RoyalFreeNHS handle of company free tweeted. The tweet was "“As a nation we are incredibly proud of the NHS.”

<mention> star of <mention> and <mention> sends a heart-warming message of support and thanks to the Royal Free Hospital.Thank you for your kind words Mandip!💙
<mention> #RoyalFreeLondonHeroes:<hyperlink> <hyperlink>". This tweet got 131 number of likes. 
3. On 2018-06-18 12:03:41, RoyalFreeNHS handle of company free tweeted. The tweet was "Some of our amazing nurses who met <mention> listen as she sets out the Government's long-term plan for the NHS <hyperlink>". This tweet got 75 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
