EVADALONNE
56 posts

EVADALONNE
@QQueenxy
BEAUTY | WORK OF ART | FOTRESS | EVADALONNE | VITILIGO PRINCESS |
Katılım Kasım 2025
11 Takip Edilen11 Takipçiler

4 more to boom 130m+ with 100 naira God abeg do this for me 😭😭😭
𝕁𝔸𝕐@nuJay4r
How much is Rx 350?
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Guysssssssssss I'm confused 😭😭 never seen this much money before but I don't want to lose 80m + because of impatience last game is tonight what should I do ??

𝕁𝔸𝕐@nuJay4r
4 more to boom 130m+ with 100 naira God abeg do this for me 😭😭😭
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@john322226 Bro is super duper... And what happen to the water marks I can't use them??
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If you know the plan I have for content creation in few months from now, you’ll follow my step.
I don Dey put watermarks for my contents now
lobistars🇳🇬@john322226
Max dowman too good that I had to create a newspaper headline for him tomorrow even tho I dislike Arsenal.
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I've found a gem everyone on CT needs right now.. especially for newbies.
I will only show this to 500 persons via DM
Here’s a quick way to earn USDT. All you have to do is watch a 3 minute video on YouTube and Ticktok get paid 0.3 USDT.
And the crazy part Is that the minimum withdrawal is $3... you can make that in 2 Days!
They upload 7 videos daily.
I need this post to get upto 1k likes before I can drop this Bomb. You must
Like and Retweet tag just two person!!


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Three month here alone with data, food, light, and your best friend of the opposite gender for N10M. Deal or no deal? Still #EVADALONNE

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Help anyone you can, anywhere anytime. Let's liberate africa.
HUNGER DEY OOOO, HUNGER DEY
#EVADALONNE
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Medicaid data has been open sourced, so the level of fraud is easy to identify.
@DOGE is not a department, it’s a state of mind.
DOGE HHS@DOGE_HHS
Today the HHS DOGE team open sourced the largest Medicaid dataset in department history. This dataset contains aggregated, provider-level claims data for a specific billing code over time. For example, using this dataset, it would have been possible to easily detect the large-scale autism diagnosis fraud seen in Minnesota. Download the data yourself: opendata.hhs.gov
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