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Correspondence · Nov. 11, 2016

Email to Jeffrey Epstein on an election prediction model, Nov 11, 2016

Email from a private individual to Epstein explaining his election prediction model's results, plans to shut the startup, and return to cybersecurity.Machine-written summary

From: Zubair Khan Sent: 11/11/2016 5:21:53 AM To: jeffrey E. [jeeyacation@gmail.com] Subject: Re: Importance: High Out of 13 states we got 11 right. The ones we got wrong are NY and WI. In the last report, analyzed data was of 3 days in which Clinton got a positive spike after she got clearance from FBI. However Trump dominated the social media positively if we analyze one week data before starting time of election, monthly data and entire data which we have gathered for months. Based on this we predicted on our Facebook page on 30th October that Trump will be next president of US. Our model works but I think the important question which we failed to answer is that how much historic data must be analyzed to make the right decision. This could have been answered if we had a Data Scientist. Also I believe its a great tool to track voters and get them to vote. It can be used in French elections next year or elections of Brazil in 2018 but unfortunately I have to shut down this project as getting data from Twitter is expensive and the start up is running out of money. I am going to focus on cyber security again and will definitely reach out if I have a powerful investable idea. Regards, Zubair Khan On Nov 11, 2016, at 4:49 AM, jeffrey E. jeevacation@gmail.com wrote: not so good

Email to Jeffrey Epstein on an election prediction model, Nov 11, 2016

Emails and letters

Email from a private individual to Epstein explaining his election prediction model's results, plans to shut the startup, and return to cybersecurity.

House Oversight: Estate Documents (Nov 12) · Nov. 11, 2016

From: Zubair Khan Sent: 11/11/2016 5:21:53 AM To: jeffrey E. [jeeyacation@gmail.com] Subject: Re: Importance: High Out of 13 states we got 11 right. The ones we got wrong are NY and WI. In the last report, analyzed data was of 3 days in which Clinton got a positive spike after she got clearance from FBI. However Trump dominated the social media positively if we analyze one week data before starting time of election, monthly data and entire data which we have gathered for months. Based on this we predicted on our Facebook page on 30th October that Trump will be next president of US. Our model w…