Dear Whole Foods security and surveillance team.

How do you use the thousands of Whole Foods customer photos that you capture and store in your security surveillance database? Who do you sell that information to? Who do you share that information with?

How many women are misclassified in your surveillance database as men?

How many individuals are misclassified in your surveillance database as having a criminal history? What is the measurement error of that?

How many individuals are misclassified in your surveillance database as undocumented?

How many individuals are misclassified in your surveillance database as homeless?

How many individuals are misclassified in your surveillance database as suspicious?

How many women have their home address, their work address, their vehicle make and model, their median income, their marriage status, their occupation pop-up on your surveillance screen the very second that they walk into a Whole Foods Market to buy lentils?

How many women are followed by an undercover loss prevention officer while shopping at Whole Foods because your little surveillance screen misclassifies them as having a predisposition to criminality?

How many individuals, on average, does your biased surveillance AI racially profile?

Since when did buying groceries become so f****ng taxing?


Ever wondered why they’re following YOU specifically?

According to a recent article published by the New York Times, MIT research has shown that facial recognition software is not coded to correctly identify and classify human beings of all genders, skin tones, and facial structures without demonstrating a biased output that benefits mostly White males. Though some facial recognition software systems claim to have the technology to detect criminality in the faces of public citizens, Amazon’s face surveillance technology Rekognition in fact falsely identified 28 members of Congress as criminals in a user test conducted by the American Civil Liberties Union.

Rekogition software has a 32% error rate in analyzing the faces of women or color

Despite the data-science proof of gender and racial bias in Amazon’s retail surveillance software, women and men of all races and backgrounds continue to be surveilled, monitored, and their images stored in Amazon’s facial recognition database for private use and/or possible misuse. Unregulated and unchecked by any agency.

To read more about Amazon’s commercial facial analysis system Rekogntion, and how it may be affecting you, your family, and your community, please take the time to read any of the below sources about the algorithmically race based bias in surveillance software:

Welcome To The Era Of Facial Recognition Technology: Changing The Game On How Minorities Are Treated

Racial And Gender Bias in Amazon Rekognition – Commerical AI Systems For Analyzing Faces

TED Talk: How I’m Fighting Bias In Algorithms

ACLU: Amazon’s Face Recognition Falsely Matched 28 Members of Congress With Mugshots

Facial Recognition Fail: Amazon Project Mistakes Lawmakers With Suspects

Study Finds Racial Bias in Amazon’s Facial Recognition Tech


Activism pays!! I have been selected to win a $100 Gift Card from Amazon, owner of Whole Foods Market. Being one of the lucky ones, I am most gracious for such a worthy gift, and even more so since i receive these Amazon gift card emails nearly every day. With all of the free Amazon gift cards that have been emailed to me over the past several months, I could put them all together and use them toward the purchase my own racially biased Amazon Facial Rekognition surveillance package. Just for me!!

I would also like to take this opportunity to shout out Raj Tech News and since they have put much time and effort into creating their fake Amazon recruitment website. If you are in the market for a job at Amazon, please do not make the mistake of clicking on any links related to their web property, as I guarantee that they are 100% scamming by “phishing”. Phishing is a con that hackers execute to induce users to click on fake links in an attempt to view the user’s ip address. Once Raj Tech News is able to see your ip address they can then hack your network and ultimately your computer. If you contribute content to a blog called “Whole Foods Mafia” this would be especially juicy for such a network of hackers!

I feel extremely blessed and lucky!! And I am now giftcard RICH!!