Chosen Works Charity

“For we wrestle not against flesh and blood, but against principalities, against powers, against the rulers of the darkness of this world, against spiritual wickedness in high places.” This season is gonna be a good one boys All glory to God✝️ essketit

God is so good

Never Settle. We are so back

I can still make Cheyanne

@boldleonidas they got rugged…irl

So Logan Paul’s Liquid Marketplace allowed him to sell you % ownership of his assets. If the asset increases in value, he can just buy them back at the original price without your consent as per the terms and conditions. If the asset decreases in value, he won’t buy back the shares at all. So investors had a 0% chance of upside as if there was any profit he’s allowed to just capture it all. Essentially he set up a company to just borrow against his assets at 0% interest with buyers acting as the bank.

This is why I refuse to pray to anyone but the almighty creator and will never wear a crucifix. I love Jesus but I know God is the true power. This is why Jesus taught the lord's prayer. Praise God. 🙏

You are finding out that you cannot live like other people. You don't get away with sin. You don't prosper if you had to do wrong to get it. Other people win by cheating but it never works out for you if you do the same. You have a special calling, and with it come special responsibilities. You've been set apart. You need to live a set apart life.

@Motor1com please don’t be the awd version i really needed this

lol a Chrysler Pacifica test mule got stuck in the snow in Detroit during the snow storm pic credits: @/kindleauto, IG

@TheVixhal It’s so interesting to see the different ways we all grieve.

I found out my girlfriend cheated on me. Instead of breaking up right away, I made a fake account, sent her the proof anonymously, and told her that if she didn’t send me money, I’d tell her boyfriend everything. I shared this whole plan with my best friend for advice, but this mf went behind my back and shared everything with my girlfriend. When confronted, he said Why does it matter? I thought she deserved to know. He wasn’t just betraying me. He was behaving like a random variable after you marginalize out all the hidden information. In probability, to understand what you actually know, you marginalize over hidden variables. That means you sum over all the possibilities you can’t observe to compute the probability of what you can observe. Marginal probability is a statistical measure that represents the probability of a single event by aggregating over all possible values of other variables. Formula P(A) = Σ P(A, Bi) Where P(A) = Marginal probability of event A P(A, Bi) = Joint probability of A and B Σ = Summation Let's take an example and solve step by step A dating app wants to find the probability of users sending messages, regardless of whether they get a response. The data shows message sent vs response received: Short forms - M = Message - R = Response Joint Probability Table - M (Yes), R (Yes) = 0.30 - M (Yes), R (No) = 0.25 - M (No), R (Yes) = 0.10 - M (No), R (No) = 0.35 Step 1 What we want to marginalize - We want P(M = Yes) Step 2 Joint probabilities for M = Yes - P(M = Yes, R = Yes) = 0.30 - P(M = Yes, R = No) = 0.25 Step 3 Apply marginal probability - P(M = Yes) - P(M=Yes, R=Yes) + P(M=Yes, R=No) - 0.30 + 0.25 = 0.55 P(Message = Yes) = 0.55 Final Answer The marginal probability of a user sending a message is 0.55 or 55%, regardless of whether they receive a response. Congratulations, you've just learned Marginal Probability. Bonus: Applications in AI/ML 1. Bayesian Networks: Computing marginal probabilities by summing out irrelevant variables to make predictions and inferences in graphical models. 2. Latent Variable Models: In topic modeling (LDA) and hidden Markov models, marginalizing over hidden states to find the probability of observed data. 3. Feature Selection: Identifying which features independently correlate with target variables by computing marginal distributions, helping reduce dimensionality. 4. Probabilistic Classification: Naive Bayes classifiers use marginal probabilities of features to classify data, assuming independence between features.

employment is a curse btw

@hlovo_ When God trynna save me but i’m fr delusional ab her

“She waiting on me” 😭 Bro thinks this is foreplay 💔

@harristic_ numulocubus

is this rare as fuck or am i not looking at clouds enough

we all just some isrealites fr

11-23-2025: Tom Brady rips the N word on Natty TV 11-24-2025: Crypto goes flying Coincidence?

@reecebrah he cooked lokey

Overheard the most section 8 basketball American convo ever in the sauna Two YNs talking in almost unintelligible Ebonics But since I’m fluent I got the gist Basically this guy was bragging that he booked a resort in Mexico Knowing that the payment would bounce in 3 days So he got 3 days for “free” and disappeared before they called the Mexican police This is why everything at Walgreens is locked up And why we have to pre-auth every transaction

@bbysoulambs real

i give it 5 more years before i just become a nun

@tanimal only the real picked up on this. Another Tanimal W

This Clavicular dude he gets aura mogged into the depths of india nobody cares if you're attractive if you've got 0 aura 0 natural testosterone cant have children bullies the less fortunate. funny guy but on a job site? he'd get bullied until his A10s were leaking tears

@bryan_johnson your communication software is probably just outdated bro, you good 👍🏿

Some are misunderstanding this post. It's affectionate teasing. The insult acts as a trust signal as you'd never actually say this to a stranger. Evidence shows teasing among friends correlates with higher social bonding, trust, and emotional intelligence. It's real sincerity.

Let the silence ring Holy spirit fill the void

@bbysoulambs recommended

the urge to sell all my possessions and move to a different state and figure it out >