While Mirabe was deep in her data analysis, Calvin wandered over, curiosity getting the better of him. He watched, awestruck, as the numbers danced across herputer screen and noticed how effortlessly she handled it all. He was momentarily stunned.


    Calvin had always doubted Mirabe''s abilities, given her arts background. His skepticism even led him to push her out of his department at the start of the semester, risking friction with Wade in the process.


    But now, seeing her analytical prowess and the wless 100% sess rate on her screen, he felt like he was hearing the sound of his own misconceptions crumbling.


    A simtion graph in two minutes, a dataparison in one-such talent was incredible for a freshman. Even Wade hadn''t achieved a perfect sess rate like this.


    As Calvin looked at Mirabe, he saw that sameid-back attitude she always had, like nothing could ruffle her calm exterior. True talent often came with that kind of confidence.


    Mirabe could''ve been the star of his department, even outshining Meg, had he not let her go.


    Calvin''s hands trembled slightly with a mix of regret and awe.


    Meg, noticing Calvin''s reaction, felt a wave of panic. Her eyes darted to Mirabe''sptop screen.


    100% sess.


    Why could Mirabe nail it every time when Meg was stuck at 97%?


    Wade, having gathered his thoughts, took Mirabe''sptop to review the data. After a few moments, he turned to Meg and said, "You had a 97% sess rate."


    Meg had expected this result, but it still stung. "Our team hasn''t pinpointed the w in our analysis yet," she began.


    Wade shook his head, cutting her off by turning theptop screen toward her. "Take a look at Mirabe''s work first."


    Meg bit her lip, staring at the screen in disbelief. "How is this possible? We followed the same steps. Why is yours perfect?"


    Mirabe gave Meg a sidelong nce, a hint of a smirk on her lips. "Want to know the secret?"


    Meg''s eyes were glued to Mirabe''s face, eager for an answer.


    With a flick of her hand, Mirabe brushed a stray strand of hair from her forehead and said, a bit smugly, "Because you''re not part of our department."


    Meg frowned, puzzled by thement.


    "Without our data science know-how, any experiment you do..." Mirabe waved her finger in the air, leaving the rest unsaid.


    As Meg recalled the first time Mirabe hadid out the simtion, she realized every step, including the dataparison, had been Mirabe''s doing. Even though Mr. Zane had done the final check, Meg was oblivious to how the data had been input and managed.


    Herck of data science expertise was the real reason for her failure, despite following the same steps.