The #wnbnaoracle delivers +11 units, all winners today!!
Had a friend ask me last night for some winners. Ask and you shall receive.
4-0. You're welcome.
Tell a friend. Let's get some more followers and get this hopping. Am I the best #wnba capper out there?
#GamblingTwitter
#wnbapicks#plum if she plays and doesnt come out hurt should ball out 2night
Plum over 19.5 pts
And over 27.5 pra
Also expecting a little back & forth with Paige, so also hammering #bueckers over 19.5 pts and over 28.5 pra
#sparks#wings@LASparks
Should be a good one!!
ESPBEN:
Unseen Footage: What Did Stephanie White Yell at Caitlin Clark?!
Unseen behind the scenes footage shows a heated moment between Stephanie White and Caitlin Clark during a frustrating game. With questionable officiating and foul calls piling up, Caitlin clearly wasn’t happy, and tensions appeared to boil over on the sideline. What was said between coach and player? Watch the footage and decide for yourself.
Do you think Caitlin Clark was being treated unfairly by the refs, or was Stephanie White right to challenge her in that moment? Let us know in the comments!
ESPBEN examines game footage focusing on interactions between Caitlin Clark, Stephanie White, and the officiating crew. The analysis investigates specific foul calls throughout the match and the impact of personnel substitutions on team dynamics.
Source:
ESPBEN
Youtube:
https://t.co/SEZFWXiebR
#CC22 #CaitlinClark #FeverRising #NowYouKnow #FromAnywhere #IndianaFever #WNBA
Now that is out of the way
The #wnba oracle is back
Havent stopped watching assessing and gambling.
But now I am going to share once I place. Props. Totals. Sides. Books have gotten sharp. But this is gambling baby. #wnbapicks
I have been quiet.
Observing life.
Mostly living life.
Winning.
Helping.
Being a fucking degen.
Gambling on so many sports every fucking day.
Is there any other way to live?
Work hard. Play hard. Go hard. Till it's done.
Elon Musk just put the entire university system on trial.
Not the curriculum. Not the professors. The premise.
Musk: “You don’t need college to learn stuff. Everything is available basically for free. You can learn anything you want for free.”
For a thousand years, universities held one monopoly. Access. You paid the toll or you stayed ignorant.
The internet erased that in a decade.
Every lecture. Every framework. Every textbook. Free. From any screen on Earth.
The six-figure tuition is no longer buying knowledge. It is buying a signal.
Musk: “There is a value that colleges have, which is seeing whether somebody can work hard at something, including a bunch of annoying homework assignments, and still do their homework assignments.”
That is the product. Not intelligence. Not creativity. Not vision. Compliance.
You are paying $200,000 to prove you can tolerate bureaucracy on a schedule.
Musk: “Colleges are basically for fun and to prove you can do your chores. But they’re not for learning.”
The entire system is a sorting machine for corporate HR. It does not measure what you can build. It measures whether you can sit still, follow directions, and deliver on command.
Four years of obedience dressed as education.
Musk: “If you’re trying to do something exceptional, you must have evidence of exceptional ability. I don’t consider going to college evidence of exceptional ability.”
The system optimizes for average. It rewards the compliant. It certifies the patient. It quietly filters out everyone who refuses to wait for permission.
The ones who reshaped the modern world never finished the test.
Musk: “Gates is a pretty smart guy, he dropped out. Jobs is pretty smart, he dropped out. Larry Ellison, smart guy, he dropped out.”
They did not drop out because it was too hard. They dropped out because the speed limit was too low.
The most dangerous thing a university does is convince a generational talent that finishing the syllabus is the achievement.
It is not. It is the floor.
A degree is a receipt for compliance. The future has never belonged to people who finish their homework. It belongs to the ones who never needed the assignment.
There's a physicist at Stanford named Safi Bahcall who modeled this exact principle and the math is wild.
He calls it "phase transitions in human networks." When you're stationary, your probability of a lucky event is limited to your existing surface area: the people you already know, the places you already go, the ideas you've already been exposed to. Your opportunity window is fixed.
When you move, your collision rate with new nodes in a network increases nonlinearly. Double your movement (new conversations, new cities, new projects) and your probability of a serendipitous encounter doesn't double. It roughly quadruples. Because each new node connects you to their entire network, not just to them.
Richard Wiseman ran a 10-year study at the University of Hertfordshire tracking self-described "lucky" and "unlucky" people. The single biggest differentiator wasn't IQ, education, or family money. Lucky people scored significantly higher on one trait: openness to experience. They talked to strangers more, varied their routines more, and said yes to invitations at nearly twice the rate.
The "unlucky" group followed the same routes, ate at the same restaurants, and talked to the same 5 people. Their networks were closed loops. No new inputs, no new collisions.
Luck isn't random. Luck is surface area. And surface area is a function of movement.
The lobster emoji is doing more work than most people realize. Lobsters grow by shedding their shell when it gets too tight. The growth requires a period of total vulnerability. No protection, no armor, soft body exposed to the ocean.
That's the cost of movement nobody posts about. You have to be uncomfortable first. The new shell only hardens after you've already moved.
“This is what they claim put Man on the Moon”
Today NASA are claiming they are returning to the moon, not landing on it, like they were able to do 50+ years ago repeatedly, just flying around it.
Imagine still believing this thing landed on the moon in 1969.