Last month I made $2500 with surveys online via high paid market research last month.
• Sign up for surveys
• Speak your opinion
• Get paid for your time
It's that simple!
5 side hustles that will make you $5000/mth in 2022
| Thread
Last month I made $2500 with surveys online via high paid market research last month.
• Sign up for surveys
• Speak your opinion
• Get paid for your time
It's that simple!
This one is so easy to start and scale!
1. Find a trusted product
2. Get your own Affiliate link
3. Use social media to promote
4. Make sales and $100s weekly
Some of my daily earnings:
Building an email list is one of the best investments you can make to create passive income .
You can simply create an email workflow and set it on autopilot .
That way you earn passive income every month and make money in your sleep!
Want to work for yourself with no boss?
Then become a freelancer and land clients online on
• Your social media
• Your webpage
• @Upwork
• @fiverr
You can make up to $10,000 landing high ticket clients!
You can scan your local area for high-value and low-price products:
• Craigslist
• Garage sales
• Store clearances
Then you can make a profit by reselling them on :
• eBay
• Amazon
• FB Marketplace
Flipping items is a fun and rewarding side hustle.
6. Content creation
Are you a creative person that likes writing?
Then, you can use your skills to earn money by
• Copywriting
• Ghostwriting
• Creating content
People will pay you from $500 up to $10,000/mth for these services
High Paid Research Mastery(Surveys)
Learn to make $1000s from the comfort of your home just like all students of Diversified Income University 👇
🚨 Use Code: “thread” for a $50 discount for reading this thread…next 10 people only! 🚨
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5 side hustles that will make you $5000/mth in 2022
— Bmalcolm21 (@bmalcolm21) June 22, 2022
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"I lied about my basic beliefs in order to keep a prestigious job. Now that it will be zero-cost to me, I have a few things to say."
We know that elite institutions like the one Flier was in (partial) charge of rely on irrelevant status markers like private school education, whiteness, legacy, and ability to charm an old white guy at an interview.
Harvard's discriminatory policies are becoming increasingly well known, across the political spectrum (see, e.g., the recent lawsuit on discrimination against East Asian applications.)
It's refreshing to hear a senior administrator admits to personally opposing policies that attempt to remedy these basic flaws. These are flaws that harm his institution's ability to do cutting-edge research and to serve the public.
Harvard is being eclipsed by institutions that have different ideas about how to run a 21st Century institution. Stanford, for one; the UC system; the "public Ivys".
As a dean of a major academic institution, I could not have said this. But I will now. Requiring such statements in applications for appointments and promotions is an affront to academic freedom, and diminishes the true value of diversity, equity of inclusion by trivializing it. https://t.co/NfcI5VLODi
— Jeffrey Flier (@jflier) November 10, 2018
We know that elite institutions like the one Flier was in (partial) charge of rely on irrelevant status markers like private school education, whiteness, legacy, and ability to charm an old white guy at an interview.
Harvard's discriminatory policies are becoming increasingly well known, across the political spectrum (see, e.g., the recent lawsuit on discrimination against East Asian applications.)
It's refreshing to hear a senior administrator admits to personally opposing policies that attempt to remedy these basic flaws. These are flaws that harm his institution's ability to do cutting-edge research and to serve the public.
Harvard is being eclipsed by institutions that have different ideas about how to run a 21st Century institution. Stanford, for one; the UC system; the "public Ivys".
Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
