<|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 2019-09-30 16:00:05, CharlesSchwab from company charles schwab tweeted. The tweet was "It's International Podcast Day and we're here to celebrate our three podcast for investors - #Choiceology, #FinancialDecoder, WashingtonWise Investor. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-10-08 13:39:29, CharlesSchwab handle of company charles schwab tweeted. The tweet was "<mention> We love hearing this. Thank you, Shannon! <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-10-01 21:30:05, CharlesSchwab handle of company charles schwab tweeted. The tweet was "Catch <mention> founder <mention> on #SchwabLive this Thursday, where she’ll be chatting about how to get started #investing. Tune in on 10/3 at 1:20 PM ET: <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. On 2019-10-24 13:21:22, CharlesSchwab handle of company charles schwab tweeted. The tweet was "<mention> We're big fans of good media too - happy to learn you're a fan of #Choiceology. Enjoy! <hyperlink>". This tweet got 1 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
1<|im_end|>
