<|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 2019-08-17 21:10:00, BBCCasualty from company bbc tweeted. The tweet was "Next time on #Casualty! 🏥🚑 <hyperlink>". The most similar tweets were, 
1. On 2019-12-31 10:53:03, IndependentNGR handle of company independent tweeted. The tweet was "Coroner Cries Over Incessant Army Deaths <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-05-01 16:10:12, Oritse handle of company williams tweeted. The tweet was "🧡💙For so long I’ve been championing the NHS, Carers &amp; Young Carers. Im so proud to be supporting our heroes with <mention> 100% of profits will be donated to ‘Choose Our Carers’ and ‘Choose Our NHS’ t-shirts will go to <mention> and <mention> 🧡💙 <hyperlink>". This tweet got 151 number of likes. 
3. On 2020-05-25 15:29:29, OwsWills handle of company williams tweeted. The tweet was "L: Bournemouth, England
R: Barry, Wales

(Taken today)

🏡 Stay Home
🤲 Protect the NHS
❤️ Save Lives <hyperlink>". This tweet got 344 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
