<|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 2018-10-09 16:55:01, CiscoSecure from company cisco tweeted. The tweet was "Cybersecurity Expert <mention>  reflects on her STEM-centric career, offering advice for those looking to start a Cyber Career. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-10-15 19:00:01, CiscoSecure handle of company cisco tweeted. The tweet was "In the latest Security Stories podcast, we chat about cybersecurity careers – how we got started, and advice on how to navigate the industry #NCSAM #cybersecuritycareers <hyperlink> Listen on Apple: <hyperlink> or Spotify: <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
2. On 2018-10-03 15:15:01, ciscomiddleeast handle of company cisco tweeted. The tweet was "What skills do you need to get into the #cybersec industry? Hear how our experts developed their cyber careers <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-09-30 15:30:01, CiscoSaudia handle of company cisco tweeted. The tweet was "How do you get into the #cybersec industry? Our people share their experiences and advice #CyberSecMonth <hyperlink> <hyperlink>". This tweet got 0 number of likr 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
4<|im_end|>
