Information
Indiana Fever Defeat Seattle Storm 94–86: Aliyah Boston Drops Career-High in a Must-Watch Match
The Indiana Fever continued their red-hot form with a thrilling 94–86 win over the Seattle Storm on June 24, 2025. In what may go down as one of the best performances of the season, Aliyah Boston exploded for a career-high 31 points, leading the Fever to their fifth straight victory.
✅ Final Score: Indiana Fever 94 – 86 Seattle Storm
✅ Date: June 24, 2025
✅ Location: Seattle, WA
Game Highlights
Watch the game-defining moments here:
Watch Highlights on YouTube
From Boston’s dominance in the paint to Kelsey Mitchell’s sharpshooting, this game was a rollercoaster of skill and intensity.
Star Performers
Aliyah Boston – 31 Points, 9 Rebounds
Boston delivered a career-best performance. Her footwork, inside presence, and rebounding controlled the flow of the game. This game also marked her 800th career rebound, making her the 9th-fastest WNBA player in history to reach that mark.
Kelsey Mitchell – 26 Points (5 3-Pointers)
Mitchell added scoring power from beyond the arc, draining five triples and keeping pressure on the Storm’s defense all night.
Lexie Hull – 15 Points, 11 Rebounds
Her first career double-double couldn't have come at a better time. Hull showed hustle, grit, and a high basketball IQ — the perfect support to Boston and Mitchell.
Seattle Storm Takeaways
Despite the loss, Natasha Howard had a strong showing in the early minutes, helping the Storm keep pace. However, the Fever's well-balanced attack proved too much to handle in the closing quarter.
Full Match Stats (Top Highlights)
| Player |
Points |
Rebounds |
Assists |
| Aliyah Boston (FEV) |
31 |
9 |
4 |
| Kelsey Mitchell (FEV) |
26 |
2 |
3 |
| Lexie Hull (FEV) |
15 |
11 |
2 |
| Natasha Howard (SEA) |
14 |
7 |
1 |
What This Win Means
This match marks a turning point for the Indiana Fever, bringing their season record to 7–7 and putting them back in playoff contention. It’s their first time going above .500 in nearly a decade, and with Aliyah Boston peaking, the momentum is real.
For the Storm, this loss reveals a need for more consistent late-game execution, especially when facing playoff-bound teams like Indiana.
???? Fever Game Today? Here’s How to Watch Next Time
Want to catch the next Indiana Fever matchup live?
Fan Reactions
"Aliyah Boston is HIM. Career night. This team is finally playing like a unit."
– @WNBATalks on Twitter
“Lexie Hull is the X-factor we didn't know we needed.”
– Fever fan on Reddit
Did You Know?
Aliyah Boston is now the 9th-fastest WNBA player in league history to reach 800 rebounds — and she’s only just getting started.
Final Thoughts
This game wasn’t just another win — it was a statement. The Indiana Fever are evolving into a team to fear, with stars like Boston and Mitchell delivering elite performances under pressure. Meanwhile, the Seattle Storm will need to regroup fast to stay playoff-relevant.
What was your favorite moment from the game? Drop your thoughts in the comments or share this post on social with #FeverStormClassic
Information, Knowledge
According to chaos theory, The Butterfly effect refers to the creation of a large effect in the future as a result of a small event.
Mathematician and meteorologist Edward Lorenz raised a particular question at the 139th session of the American Association for the Advancement of Science. The question was if a butterfly flaps its wings in Brazil, can the flapping of wings cause a tornado in Texas?
Many people may think Edward Lorenz is mentally ill after hearing the question. Because - firstly, a tornado cannot be caused by the flapping of a butterfly's wings or anything else. Second, if there was a tornado, how could it be in Texas instead of Brazil! But the answer to this question may not be what we know. Tornadoes can also be caused by the flapping of a butterfly's wings. In fact, this strange theory is called the 'butterfly effect.
Although there is little controversy about the butterfly effect, Edward Lorenz is credited with being the first to identify the theory. Edward Lorenz was a professor of meteorology at the Massachusetts Institute of Technology and a mathematician who first reported the butterfly effect.
He essentially united these two disciplines, meteorology and mathematics, and established Chaos Theory. In the 1950s he was looking for new methods for weather forecasting. Because it was very challenging to make accurate predictions in the general model. From this discovery, he discovered the butterfly effect as a new theory with the help of mathematics.
Let's learn about this butterfly effect.
It was 1906. This is the story of a painter in Germany. One day a Jewish girl came to that painter. His picture should be given to him. So the German painter fell in love with the Jewish girl. As usual, he offers his love to the girl. Although the girl has tacit consent, the Jewish girl's family is quite influential and will not accept this relationship in any way. Do understand! However, their love never stopped. The painter had a dog. Through that dog, letters were regularly exchanged between them. But one day the girl's family killed the dog too. As a result, the painter was forced to give up.
Then one day for some reason an English soldier got very angry with the painter. Beat him a lot. Despite receiving orders from above to kill him, for some reason he has mercy on this painter. He doesn't kill him anymore. He leaves.
Then came World War II. Do you know who the painter was? Adolf Hitler. Countless Jews died on Hitler's orders in that world war. One of the greatest massacres in human history. The dark chapter of the human race. That chapter is what has tarnished the human race.
When Hitler applied for admission to the Academy of Fine Arts, he was rejected. Not once, but twice. His request was rejected by a Jewish professor at the academy.
Now come to the real thing! What if the Jewish girl's family accepted their relationship? Mr. Hitler might have lived peacefully in a German city with that girl. Or what would have happened if the Academy had not rejected Hitler's request? If he had not been the head of Germany, he would not have been murdered. If Hitler had been accepted by the Academy a second time, Hitler would have been established as an artist, not as a dictator Hitler.
Really radiation can give humans mutant powers like in comics?
Think again of that English soldier. If he had not shown mercy to Hitler, what would have happened? There was no such thing as Adolf Hitler. World War would not have been so terrible. So many Jews would not have died.
These small incidents could have changed the entire history of the world. Can you imagine? If these two small events had happened, the history of this world would have been different today. This is where the idea of the butterfly effect comes in. A small change in one place can later be responsible for a large event elsewhere. This is known as the butterfly effect.
The butterfly effect
Mathematician and meteorologist Edward Lorenz raised a particular question at the 139th session of the 'American Association for the Advancement of Science'. The question was if a butterfly flaps its wings in Brazil, can the flapping of wings cause a tornado in Texas?
Many people may think Edward Lorenz is mentally ill after hearing the question. Because - firstly, a tornado cannot be caused by the flapping of a butterfly's wings or anything else. Second, if there was a tornado, how could it be in Texas instead of Brazil! But the answer to this question may not be what we know. Tornadoes can also be caused by the flapping of a butterfly's wings. In fact, this strange theory is called the 'butterfly effect
“Usually things that can change the world include nuclear bombs, crazy politicians, massive earthquakes or mass movements. But due to modern thinking, people have realized that these are actually their misconceptions. According to Chaos Theory, changes in small things or events can change the entire world. When a butterfly flaps its wings in the Amazon jungle, it can cause a storm in the other half of Europe."
Basically, the butterfly effect means - no matter how small a change you make in the past, there will be a big change in your future. The author used this effect brilliantly in the book The End of Eternity. The changes that will come will be huge.
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Today I wanna tell you the truth that we lose brain cells. What makes it possible?
In 1962, scientist Joseph Altman challenged this belief when he saw evidence of neurogenesis (the birth of neurons) in a region of the adult rat brain called the hippocampus. He later reported that newborn neurons migrated from their birthplace in the hippocampus to other parts of the brain.
In 1979, another scientist, Michael Kaplan, confirmed Altman’s findings in the rat brain, and in 1983 he found neural precursor cells in the forebrain of an adult monkey.
These discoveries about neurogenesis in the adult brain were surprising to other researchers who didn’t think they could be true in humans.
But in the early 1980s, a scientist trying to understand how birds learn to sing suggested that neuroscientists look again at neurogenesis in the adult brain and begin to see how it might make sense.
In a series of experiments, Fernando Nottebohm and his research team showed that the numbers of neurons in the forebrains of male canaries dramatically increased during the mating season. This was the same time in which the birds had to learn new songs to attract females.
Why did these bird brains add neurons at such a critical time in learning? Nottebohm believed it was because fresh neurons helped store new song patterns within the neural circuits of the forebrain, the area of the brain that controls complex behaviors.
These new neurons made learning possible. If birds made new neurons to help them remember and learn, Nottebohm thought the brains of mammals might too.
Other scientists believed these findings could not apply to mammals, but Elizabeth Gould later found evidence of newborn neurons in a distinct area of the brain in monkeys, and Fred Gage and Peter Eriksson showed that the adult human brain produced new neurons in a similar area.
For some neuroscientists, neurogenesis in the adult brain is still an unproven theory. But others think the evidence offers intriguing possibilities about the role of adult-generated neurons in learning and memory.
Cells of all of our tissues are always dying, some at a faster rate than others, even in the absence of trauma, toxins (like alcohol), or disease.
In the aggregate, the number of brain cells slowly grows as our body grows (ie) new cells outnumber dying cells, with growth spurts in infancy and teen years that correspond to growth spurts in the rest of our bodies, and result in leaps in learning and behavioral sophistication during those years.
At about age 21, the total mass of our brain cells plateaus at its maximum, meaning cell death is just balanced by cell growth. In the mid-’20s, the brain cell mass starts to fall, at a slow steady rate that would cross the zero line at about age 110, likely reflecting cell death without much new growth. This is of course, based on average estimates, so there are a few exceptional people who seem to retain the impressive mental capacity for their ages.
The explanation for this is to be found under the topic “senescence” in cell biology. Human cell lines seem to be programmed to have a finite lifetime on the order of a century, after which the cell lines, either individual long-lived cells or the whole family of cells derived from the first ancestor to the last descendent, lose the capacity to continue living or reproducing.
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Every time a neuron in the brain is recovering from activity there is a statistical probability that it will undergo an excitotoxic seizure and be destroyed. In a healthy brain, the strong cleansing circulation of cerebrospinal fluid (CSF) maintains a virtually negligible probability for that type of neuron destruction. However, as the infrastructure in the brain ages, the pumped volume of CSF circulating through the brain gradually decreases, and at a critically low volume of CSF circulating through the brain the probability for neuron destruction during recovery from activity increases sufficiently to cause the onset of brain diseases like Alzheimer’s and Parkinson’s.
But seriously, we do lose a lot of brain cells as we age. After age 40, the human brain shrinks about 5% every 10 years and is still faster after age 70 (1). The cerebral gyri (folds) become narrower, the sulci (grooves between the gyri) become wider, the cortex (grey matter) gets thinner, and there’s more space between the brain and skull.
Here’s a comparison of MRI images of the brain of a 27-year-old (left) and 87-year-old (right) (2).
It’s not known for certain how much brain shrinkage is due to loss of neurons (nerve cells) versus supporting cells (neuroglia) that constitute the brain, or due to actual loss of neurons versus reduction in the size and extent of branching of existing neurons (3).
Some of the loss of brain volume in old age may be due not to cellular loss but water loss
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