<|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 2019-11-06 11:00:01, AetnaIntl from company aetna tweeted. The tweet was "The personal health insights people glean from a confidential Aetna DNA test can help them take specific actions that result in a happier, healthier, more productive workforce with greater job satisfaction and lower health care costs. <hyperlink> #HR #Wellness <hyperlink>". The most similar tweets were, 
1. On 2018-02-12 00:30:11, CNN handle of company cnn tweeted. The tweet was "California launches investigation after Aetna medical director admits he never looked at patient records when deciding whether to approve or deny care <hyperlink> <hyperlink>". This tweet got 538 number of likes. 
2. On 2020-11-12 20:46:10, illumina handle of company illumina tweeted. The tweet was "Imagine fitting the entire internet in a shoebox. With the #DNADataStorageAlliance, that could become a reality 

<hyperlink>  

#DNAdata #datastorage #synbio <hyperlink>". This tweet got 198 number of likes. 
3. On 2018-04-28 14:00:52, CBCNews handle of company cbc tweeted. The tweet was "People who send their DNA away for testing might be putting their privacy at risk.

Read more: <hyperlink> <hyperlink>". This tweet got 88 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
