#regression analyst

[brodygold]

The Interview

Ben adjusted his tie nervously, his fingers fumbling against the silk fabric as he sat in the reception area. This was his big break: a chance to work as a data analyst for the prestigious Golden Army. He had spent countless hours perfecting his resume and rehearsing answers to potential questions. Now, all that preparation boiled down to a single meeting with Captain Scott.

Ben glanced at his reflection in the polished glass of the office door. His charcoal suit was crisp, his blue tie perfectly knotted. He looked the part, but he couldn’t shake the feeling that he didn’t belong here. Soccer wasn’t exactly his passion; numbers were. He could crunch statistics, perform regression analysis, and optimize strategies—that was his real talent. Surely the Golden Army would see his value, even if he wasn’t an athlete.

The door to the inner office opened, and a tall man with a commanding presence stepped out. Captain Scott—a broad-shouldered Brit with a sharp jawline and piercing eyes—surveyed the room. His golden soccer jersey, emblazoned with the team’s emblem, caught the light as he turned his gaze to Ben.

“Ah, you must be Ben,” Scott said, his British accent smooth yet authoritative. “Come on in, lad.”

Ben rose quickly, nearly tripping over his own feet as he followed Scott into the office. The room was adorned with Golden Army memorabilia: framed jerseys, championship trophies, and photos of triumphant players. Scott gestured to a chair, and Ben sat down, clutching his briefcase like a lifeline.

Scott leaned against his desk, arms crossed. “Now then, Ben, I’ll get straight to it. I’ve had a look at your resume. Impressive stuff. But I’m afraid there’s a bit of bad news.”

Ben’s heart sank. “Bad news?”

“Aye. The data analyst position’s already been filled,” Scott said, his tone apologetic but firm. “Just last week, in fact.”

Ben’s stomach churned. “Oh, I see. Well, thank you for considering me,” he said, rising from his chair. “I appreciate the opportunity.”

Scott held up a hand. “Hold on, lad. I’ve got another idea.”

Ben paused, curiosity flickering through his disappointment. “Another idea?”

Scott’s lips curved into a knowing smile. “Aye. It’s not exactly what you came here for, but it’s a position that’s crucial to the Golden Army. And I reckon you might be just the man for it.”

Ben tilted his head. “What kind of position?”

Scott’s smile widened. “Let me show you.” He snapped his fingers.

The sound echoed in Ben’s ears, sharp and commanding. For a moment, he felt a strange tingling sensation coursing through his body. He blinked, trying to shake it off, but the feeling only intensified. His muscles began to ache, then burn, as if he’d just completed a grueling workout.

“W-what’s happening?” Ben stammered, clutching the arms of the chair. He looked down and gasped. His once-slender arms were bulging, his biceps swelling with newfound strength. His chest expanded, his shoulders broadening, and his legs thickened, stretching the fabric of his trousers.

“Relax, lad,” Scott said, his tone calm but commanding. “You’re becoming who you were meant to be.”

Ben’s mind raced, but it was becoming harder to think. The numbers and equations that had once dominated his thoughts were slipping away, replaced by something simpler, more primal. Images of soccer fields, roaring crowds, and the camaraderie of a team flooded his mind. He tried to hold on to his old self, but it was like gripping sand; it all slipped through his fingers.

His suit and tie began to shimmer, the fabric dissolving into golden threads. The threads wove themselves into a shiny golden soccer jersey, snug against his newly muscular frame. His trousers transformed into matching shorts, and his dress shoes hardened into gleaming gold soccer cleats.

Ben’s breathing steadied, his initial panic giving way to a strange sense of purpose. He looked up at Scott, his eyes now bright with determination.

“How do you feel, lad?” Scott asked, a hint of amusement in his voice.

Ben stood, flexing his powerful arms. “I feel… incredible,” he said, his voice deeper, more confident. The hesitation that had marked his earlier speech was gone. “What position do you need me to play, Captain?”

Scott clapped him on the shoulder. “That’s the spirit! You’ll be our new striker. Quick, agile, and unstoppable. Just what the Golden Army needs.”

Ben nodded, the role already feeling natural. “I won’t let you down, sir.”

“I know you won’t,” Scott said, his tone firm but encouraging. “Welcome to the team, lad.”

As Ben left the office, he no longer felt like the nervous data analyst who had walked in just minutes ago. He was a striker for the Golden Army, a proud member of the team. And he couldn’t wait to hit the field.

As Ben stepped outside into the bright sunlight, the world seemed sharper, more vibrant. His cleats clicked against the pavement as he made his way toward the training grounds. It was strange; just an hour ago, he couldn’t have imagined himself even holding a soccer ball, let alone playing professionally. Now, he felt an unshakable drive to prove himself, to be the best.

The training field stretched out before him, a lush expanse of green bordered by gleaming bleachers. A group of players was already warming up, their golden jerseys shining in the sun. They moved with precision and confidence, their camaraderie evident in their easy laughter and banter. Ben hesitated for a moment, suddenly unsure of how to approach them.

“Oi, new guy!” one of the players called, jogging over. He was tall and lean, with sharp features and a mischievous grin. “You must be the new striker. I’m Brody, co-captain. Welcome to the team.”

Ben shook his hand, the firm grip reinforcing his new reality. “Thanks. I’m Ben.”

Brody raised an eyebrow. “Ben, eh? Not anymore, mate. You’re part of the Golden Army now. We’ve got a tradition here: new name, new start. How about… Blaze? Got a nice ring to it, doesn’t it?”

Blaze. The name resonated with him, sparking a sense of pride and excitement. “Blaze it is,” he said, grinning.

“Good on ya, Blaze. Let’s see what you’ve got,” Brody said, tossing him a soccer ball. “Warm up with us.”

Blaze joined the other players, quickly falling into the rhythm of the drills. His body moved with an ease and power that felt both foreign and familiar. Each pass, each shot, each sprint reinforced his new identity. By the time practice ended, he was drenched in sweat but exhilarated.

As the team gathered around Scott for a debrief, the captain’s gaze fell on Blaze. “Not bad for your first day, lad. Keep this up, and you’ll be unstoppable.”

Blaze nodded, determination etched on his face. He had found his place, his purpose. The Golden Army wasn’t just a team; it was a family. And he was ready to give it everything he had.

After the team dispersed, Scott called out, “Blaze, a word in my office.”

Blaze followed Scott back to the office, his heart pounding slightly. He wasn’t sure what to expect. Once inside, Scott closed the door and leaned against the desk, studying Blaze with a thoughtful expression.

“You’ve adapted faster than I expected,” Scott said, his voice softer now. “Most lads take a bit of time to find their footing, but you… you’re something special.”

Blaze felt his cheeks warm at the compliment. “Thank you, sir. I just want to do my best for the team.”

Scott smiled, his eyes glinting. “That’s what I like to hear.” He stepped closer, his tone dropping. “But there’s more to being part of the Golden Army than just skill on the field. It’s about trust, loyalty… connection.”

Blaze swallowed hard, the air between them charged. “I understand, Captain.”

Scott’s gaze lingered on him, and for a moment, neither of them spoke. Then, with deliberate intent, Scott reached out, his hand resting lightly on Blaze’s shoulder. “Do you?”

Blaze nodded, his voice barely a whisper. “Yes.”

Scott leaned in, his lips brushing against Blaze’s in a kiss that was both firm and tender. Blaze responded instinctively, his hands resting on Scott’s waist as he deepened the kiss. The world seemed to fade away, leaving only the two of them in the quiet, golden-lit office.

When they finally pulled apart, Scott’s eyes searched Blaze’s, a rare vulnerability showing beneath his confident exterior. “Welcome to the team, Blaze. Truly.”

Blaze smiled, his heart racing. “I’m proud to be here, Captain.”

[mariacallous]

Georgians are in the streets fighting for their democracy. The Georgian Dream party, which is working to align Tbilisi with Moscow’s interests, declared victory in the country’s Oct. 26 election before the votes were even counted. Voters and election observers were harassed by Russian-funded gangs and mobsters; just after the election, protesters holding European Union flags were sprayed with water from high-powered hoses. And the person who has the iron will necessary to lead the charge against Russian-inspired authoritarianism in Georgia? A woman: President Salome Zourabichvili.

This is no accident. Across the world, women have, and are, playing incredible roles as bulwarks against the rise of authoritarianism. Moldovan President Maia Sandu is standing up to a tsunami of Russian disinformation. In Poland, women played a critical role in the effort to oust the right-wing populist Law and Justice (PiS) party. In Hong Kong, women continue to be the practical and normative face of resistance to Chinese authoritarian rule.

These are the freedom fighters of the 21st century. And yet, the U.S. national security community tends to view women’s issues as a domestic concern, frivolous, or irrelevant to “hard” security matters. For example, in 2003, discussions of securing Iraq excluded women, with a top U.S. general stating, “When we get the place secure, then we’ll be able to talk about women’s issues.” More recently, the role of women in the military has been reduced to discussions of diversity, equity, and inclusion, rather than a focus on how women have been vital to solving the United States’ most wicked national security problems—from serving on the front lines in combat to providing essential intelligence analysis. But if the overall aim of U.S. national strategy is to shore up democracy and democratic freedoms, the treatment of women and girls cannot be ignored.

Globally, women’s rights are often eroding in both policy and practice, from the struggles of the Iranian and Afghan women who exist under gender apartheid to the Kenyan women experiencing the harsh backlash of the rise of the manosphere. In tandem, there’s been a sharp rise in reports of online harassment and misogyny worldwide.

National security analysts explore issues and psychologies through any number of prisms, but Women, Peace, and Security (WPS) remains an underutilized one. One of the national security community’s core tasks is discerning signals from noise in the global strategic environment, and regressive ideas on gender and gender equality can be a useful proxy metric for democratic backsliding and authoritarian rise.

The United States’ 2023 Strategy and National Action Plan on Women, Peace and Security provides the backbone for the United States to leverage WPS to counter authoritarianism. It highlights that displays of misogyny online are linked to violent action. The plan also points out that formally incorporating gendered perspectives is essential for maintaining democratic institutions at home and modeling them aboard. This includes recognizing misogyny—online or in policy—as an early indicator of authoritarian rise.

Unfortunately, WPS is often misread as simply including more women in the national security workforce. But it is more than that. It offers a framework for understanding why it is useful to take gendered perspectives into account when assessing how the actions of individuals or groups enhance national security, which is especially important at a time when authoritarian regimes are weaponizing gender in ways that strengthen their grip on power domestically and justify their aggression abroad.

In Russia, President Vladimir Putin has argued that he is the guardian of traditional Christian values, telling women that they should be back at home raising children, and has been rolling back domestic violence laws at the same time. Days before invading Ukraine in February 2022, Putin said, “Like it or don’t like it, it’s your duty, my beauty,” which was widely interpreted within Russia as a reference to martial rape. Russia’s own army is built on a foundation of hierarchical hazing in which “inferior” men are degraded by their comrades. With that kind of rhetoric from the top, is it any wonder that Russian soldiers’ war crimes have included the rapes of women and children?

But Putin isn’t alone. In Hungary, Prime Minister Viktor Orban has consolidated media outlets to censor women’s voices, in the name of protecting traditional values. He has also used coercive financial practices to push women out of the workforce and positions of political power and into more traditional roles of wife and mother. In Belarus, President Alexander Lukashenko attempted to force the deportation of the most prominent woman opposition leader and imprisoned her after she tore up her passport to prevent it. In China, where women were once told they “hold up half the sky,” President Xi Jinping has worked to undo decades of Chinese Communist Party policy on gender equality. Chinese women are now being encouraged to return home and become mothers, while feminists have been targeted legally and socially.

The WPS agenda provides the U.S. national security community with three opportunities to recognize, understand, and counter early-stage authoritarianism.

First, the United States can do a much better job of supporting women’s groups around the world as a central aspect of its national security strategy. Women’s groups are often a bellwether for authoritarian rise and democratic backsliding—as currently on display in Russia, China, Hungary, Georgia, and Belarus, where women inside and outside their respective regimes have been specifically targeted or attacked.

Women have also found innovative ways to resist the rise of authoritarian norms. In places like Moldova, women have acted as bulwarks against authoritarianism despite vicious disinformation campaigns targeting women leaders. Yet when it comes to formulating and executing strategies on national security, women’s groups are often left in the margins and their concerns dismissed.

Second, gender perspectives are essential to more fulsome intelligence gathering and analysis. The U.S. intelligence community can do a much better job of integrating gender—particularly as it relates to the treatment of the most vulnerable—as an indicator of societal and democratic health. This includes understanding how both masculinities and femininities influence decision-making and how, in turn, lived experiences act as necessary analytical tools. Training collectors and analysts of intelligence to recognize gendered indicators will provide a more robust view of the geopolitical landscape and fill critical holes in national security decision-making.

Finally, the United States must improve the participation of its national security community in WPS and feminist foreign-policy discussions. For too long, the “hard” security sector has distanced itself from more “human” security-focused endeavors and treated women’s rights as something that’s just nice to have.

Yet national security is an essentially human endeavor, and gender is a central component of what it means to be human. This is something that needs to be appreciated to better understand the many dimensions of the conflict—disinformation, online influence campaigns, and lawfare—that authoritarian regimes are waging against the United States and its allies.

[bibibbon]

Considering everything...MHA never left chapter 1. One thing I heard and I agree is how Izu is a static, stagnant character. He wanted to be a hero...why?

I always ask this. We can agree he wanted to help and deep down be part of a group, which yeah I can see this as a dream for a lonely abused kid.

But what was his plan? He didn't have a quirk...well, entering in UA was impossible? He could work as a quirk analyst (or is that a job which lives only in fanon?)

Assuming he has no means to enter in UA without a quirk....well, why linger on an impossible dream?

He got a quirk...by sheer luck.

He never own it in the sense we never saw Izu use 100% of ofa. We never saw him reach the max. We never saw Izu as a shonen hero fighting the big baddie.

He lost the quirk...

And spends 8 years alone working as a teacher...

Did he wanted to have a suit?

His "friends" cut contact with him for 8 years (saw people especulating how the last part, the iron suit, could be Izu delulu...I agree) and there more heroes than villains, why are they so busy they can send a hi, how are you? To the guy who lost his arms to stop shig?

I digress.

So for 8 years...he was alone, quirkless and forgetten. Then boom iron suit than only BK and am chip in.

Did he wanted the suit?

Are him and Am even closer? Bc why am made this a secret for 8 years.

Also to conclude...no, Izu couldn't have start this story as a quirkless hero (he is not Batman or Tony Stark)

Izu is still on chap 1.

The author is just end the story and move on.

Hi @mikeellee 👋

I have said this for quite a while but yeah Izuku is a pretty static character and doesn't change at all actually a lot of his change includes his character regressing to a much more bland and unlikable version of him which annoys me to no end.

I have always thought that izuku wanted to be a hero to 1) fit in and 2) to help people however, I do wish that canon would explore that a lot more and why Izuku even looked up to all might in the first place.

One of my problems with MHA is that izuku doesn't actually plan to do much or doesn't have the steps to complete his goals in the beginning. What I mean by this is if izuku was aiming for the hero course then why did he not train himself physically? It makes no sense at all why he didn't do that (Izuku is smart that should of been one of the first things in his mind) and I still think that izuku didn't train because the narrative was waiting for all might to come along and whip him into shape or something of the sort.

Quirk analysis and being a quirk analyst seems to only be something in fanon MHA as any character that does quirk analysis in canon ie izuku and shigaraki are looked at weirdly by others which doesn't make sense. I do think that with the development of quirks and the quirk singularity theory that izuku could of entered a career surrounding quirk analysis and production of support items.

I think that a part of izuku didn't truly believe in himself and the fact that he could become a hero so he may of relied on his intelligence to at least get him to general studies which means he would still be able to get into UA.

We did see izuku use 100% of OFA during the overhaul arc (no he used 100% of OFA not the other users quirks) but it wasn't without harming himself and the last arc also proved that izuku never made OFA his own quirk since he still thought of it as a precious gift all might gave him that he had trouble of letting go (this just further shows how underdeveloped izuku is)

What bugs me the most is that izuku never tries again he simply is defeated and accepts defeat by fate but when he does teach in UA he still goes by his hero name as they call him "deku sensei" so I do think a part of him wanted to grasp on to any sense of identity he had that was just fading away.

Heck Izuku also ends up looking like he doesn't actually exercise anymore meaning that he simply gave up which I still find ridiculous. So I think he gave up and was simply mourning the fact that he can't be a hero so when given the chance he simply takes it and doesn't look back.

Izuku and all might were never close in canon and with the knowledge that all might lives abroad now I think they have definitely lost contact as Izuku was surprised that all might even came to Japan in the first place so yeah their relationship seems pretty nonexistent at this point to me.

You know me I personally do think that izuku could be a quirkless hero whether that be him getting into the support course and making his own gadgets to use (UA can support him they have a lot of money) or that be him literally changing the definition of what it means to be a hero. I have also talked about it in another posts but I do think our opinions are quite different when it comes to the idea of quirkless heroes

[butterednuttered]

SYSTEM ROLES I'VE CLAIMED PART 1 NOTE: These are TRAUMAGENIC EXCLUSIVE terms. We are anti-endo!

ROOT: A root alter is an alter who has connection/communication with most, if not, all of the system. CLOWN: A clown alter is an alter who exists to cheer people up within or outside of the system, often times by joking around/being funny. ANALYST: An analyst alter is an alter who acts like a therapist for members of the system. This tends to happen with a lack of good therapy or therapy at all, and can also occur when an alter needs support quickly. REGRESSOR: A regressor alter is a (typically) little alter who's role to is to front for another alter to mimic age/pet/etc. regression. Regressors usually help the system solely by being young/nonhuman/etc. BOT: A bot alter is an alter that has a database of sorts of the system. It can be general system information, such as information about headspace locations, alters roles, relations, and activity, and other stuff. Usually unrelated to memories or trauma, but can also include that. PROXY: Unlike a proxy for a proxy bot, a proxy alter is an alter who exists to speak on behalf of other alters. Typically these alters front to ease the stress of other alters WARMONGER: A warmonger is an alter who purposefully causes harm, internally and/or externally, knowing it's unhelpful. Warmongers usually don't accept help and can even be considered toxic and/or dangerous. (DISCLAIMER: This role was created with the intent to give a label to a specific type of persecutor. This role is not meant to generalize or harm anyone.) CAMOUFLAGE: A camouflage alter is an alter that masks as other alters in the system, for good or for bad intent. These alters can also convince other system members that they are still fronting, on purpose or otherwise. MEDIATOR: A mediator alter is an alter who mediates a stressful situation unbiasedly and communicates things between the system/alter and the person/people the system is having issues with. KNIGHT: A knight alter is a type of protector who specifically protects friends and family outside of the system.

[the-most-humble-blog]

⚔️ The Mind Behind the Flame

Keep calling me names. I’ll keep making your role models wet. 📸🦁

Welcome to the mental perimeter breach zone of the-most-humble-blog.

If you’re here, you’ve either:

Survived one of my posts,

Reblogged it in rage hoping someone else would call me a monster,

Or you’re one of those rare few with enough cognitive muscle to recognize a pattern of truth when it slaps your ideology across the face.

Either way: You're here. You're reading. And that means the trap worked. 🧠🐺

🧠 Who Runs This Blog?

Call me Mr. Humble. Not because I’m meek — but because I let my words slaughter politely.

I’m a former military leader, multi-degree academic, global observer, and cultural analyst with no allegiance to fragile narratives.

I’ve led men. I’ve mentored women. I’ve been across borders, across belief systems, and across the battlefield of modern manhood.

I’ve seen the psychological fallout of cultural regression. I’ve seen how truth, logic, and masculinity are now treated like viruses. I’ve seen brilliant men go silent out of fear. I’ve seen mediocre minds weaponize pity for power.

And I said: No more.

This blog is what happens when a highly aware mind gets tired of pretending it's confused.

💥 What This Blog Is

A digital guillotine for mainstream delusion.

A satirical steel boot stomping down on ideological cowardice.

A home for those who outgrew emotional clickbait and can handle words that hit like a brick of truth to the face.

❌ What This Blog Is NOT

A hug box

A gender circle-jerk

A virtue-signaling farm

A safe space for bad ideas

An apology tour

Or a place to earn internet forgiveness for having a spine

If you’re looking for an “ally,” go outside and ally yourself with a blade of grass. This blog is for mental adults only.

🧠 My IQ Isn’t the Point — It’s What I Do With It

Plenty of people are “smart.” Few know how to use that intelligence like a scalpel and a molotov at the same time.

I don’t flex academic degrees. I flex consequence-based thinking.

I don’t cite studies unless they cut cleanly through your fantasy. I don’t “debate.” I perform intellectual amputations and meme the remains.

👁️ Why I Write Like This

Because truth doesn’t beg. It burns. It ruins dinner parties. It kills weak conversations. It shakes entire identity scaffolds.

Because feminism stopped being about equality years ago. Because men are bleeding in silence while the world tells them to “man up” and “shut up.”

Because emotional blackmail dressed as activism needs to be mocked into extinction. Because if I don’t say it, 10,000 men will keep swallowing their rage while pretending they’re fine.

This blog is their voice — said with the volume, venom, and verbal finesse they were taught to suppress.

🛑 Rules of Engagement

You are welcome here if you:

Think critically

Laugh at chaos

Can handle full sentences

Don’t confuse discomfort with harm

You are NOT welcome if you:

Use “-phobic” every time you feel wrong

Think tone is violence

Confuse identity with immunity

Start sentences with “as a…” and expect reverence

Believe truth is whatever makes you cry the least

⚖️ LEGAL: I’m Protected. You’re Just Loud.

All content is protected under U.S. free speech law, academic commentary, and satirical cultural criticism doctrine. You don’t have to like it — but you can’t do a damn thing about it. Want me banned? Try harder. Want me silenced? Bring facts, not feelings. Until then? You are just another screenshot waiting to happen.

🧠 If You’re Still Reading… Congrats.

You have enough awareness to realize:

Not everything that offends you is dangerous.Not everything that comforts you is true.

That makes you rare. And if you’re smart enough to get this far, dangerous.

Welcome to the tribe. 🦁

💣 TL;DR (For the ADHD-crippled)

Smart. Brutal. Free. Don’t like it? There’s the block button. The algorithm still remembers me.

🔗 You just read the mind. Now pick your side.

Share it. Bookmark it. Or block it.

🧠 Truth doesn’t beg. It burns.

[scarfacemarston]

Jwisjsksksk you’re literally one of my fave character analysts so when you opened request for fenris i was excited cause I MISS HIM AND NOBODY TALKS ABOUT HIM THAT MUCH ANYMORE 😭. I dont know if you have played the rival route for him but if you have then do you have any ideas how him and hawke would be after the game is over if hawke has a rivalmance with him instead of friendmance? (Coming from someone whose hawke is a mage and rivalmance is not abusive but just opposing to some of his ideas ofc!!)

OMG thank you so much! That's such an honor! And hell yeah, I love Fenris. I may be suppppperrrr late to the fandom, but I'm here nonetheless! He's legit my favorite character in the series so feel free to ask more about him or send requests! For your question: So, I think this partially depends on what Hawke did with Anders. Did they let him go? Kill him? I think that would make a difference. I definitely think there would be an element of “I told you so” with Fenris. Fenris is more of an “I warned you about this” rather than an “I told you so” type of guy, in my opinion. I believe he would attempt to hold his tongue, especially if Hawke is especially heartbroken - which is understandable, but if he felt Hawke could handle it - he would try to discuss it.

If Anders is left alive, I absolutely believe there would be an argument with Fenris warning that there would be only grief in the future because of that decision. (Whether that’s true or not depends on your headcanons for what an Anders kept alive would be like. Regardless,I do believe there would be some tragedy involved given the situation.)

If Hawke kills Anders, I think he would try to comfort Hawke and praise them for doing the “right thing”. Regardless, it would be a time of tension in the relationship, but Rivalmance Fenhawke CAN be just as loving and loyal as Friendmance Fenhawke. At that point, their bond is like steel and Fenris is nothing if not loyal. He loves Hawke and shows it in so many ways. Outside of the discussions about magic, their relationship could be just as pleasant - just with the same uncertainty or slight tension that can come from challenging one’s life’s beliefs. I think Fenris would regress in some of his progress of becoming more pro-mage in a rivalmance, especially if they’re together by the time the Inquisition comes around. He would be very concerned about the situation with Fiona and the Circles and rebellions. However, that is years later. By that point, it is entirely possible that he could be more neutral in his beliefs, with doubts popping up in moments of conflict.

TLDR - There would be a lot of tension - likely some fighting and strong debates, but their love and respect for one another would pull through as long as both put the effort into it.

[jorissportsstories]

Top 5 Upcoming Surprises: NFL 2024!

What’s Happening Playmakers!!

As the 2024 NFL season approaches, fans and analysts alike are buzzing with anticipation. While perennial powerhouses are expected to dominate, several teams are poised to surprise with their offseason moves and emerging talents. Here are the top five teams most likely to be pleasant surprises this season:

1. Tennessee Titans

No, this isn’t favoritism, or bias. If you’ve paid attention to the Titans’ offseason this year, and the sneakily solid moves they made, you would see why they are on this list. The Tennessee Titans have made significant strides this offseason, positioning themselves as a team to watch. Under the leadership of new head coach Brian Callahan, the Titans have revamped their roster with key additions: Calvin Ridley, L’Jarius Sneed, Chibode Awuzie, Lloyd Cushenberry, Quadre Diggs, Jamal Adams, Tyler Boyd, Tony Pollard. With these moves and a fresh coaching perspective, the Titans are set to make a strong impact in the AFC South.

2. Los Angeles Rams

The Los Angeles Rams have also made notable offseason moves that could lead to a surprising season. Despite facing salary cap challenges, the Rams have had a productive offseason. They signed cornerback Tre'Davious White to bolster their secondary and added guard Jonah Jackson to fortify their offensive line. Additionally, the Rams brought in tight end Colby Parkinson to improve their passing game. With these strategic additions and a revamped coaching staff, the Rams are well-positioned to compete in the NFC West.

3. Pittsburgh Steelers

The Pittsburgh Steelers are a team to watch this season. Their quarterback situation is uncertain, with Russell Wilson and Justin Fields vying for the starting position. The Steelers have also strengthened their defense by adding key players such as linebacker Patrick Queen and cornerback Donte Jackson. Furthermore, the offensive line has been upgraded with new talent, offering improved protection and support for the quarterback. With these enhancements, the Steelers could make a strong push in the AFC North.

4. Detroit Lions

The Detroit Lions have methodically constructed a competitive team that could catch many off guard this season. Their impressive draft class and shrewd free-agent acquisitions have addressed several critical areas. The addition of cornerback Terrion Arnold and wide receiver Ricky Pearsall has significantly enhanced both depth and talent on their roster. Under the dynamic leadership of head coach Dan Campbell and with these roster improvements, the Lions are poised to emerge as a potential dark horse contender in the NFC. The team's upgraded defensive and offensive units, combined with Campbell’s intense coaching style, position them as a formidable force that could shake up expectations.

5. Los Angeles Chargers

Despite grappling with salary cap issues, the Los Angeles Chargers have had a highly productive offseason. They excelled in the draft, notably selecting offensive tackle Joe Alt and wide receiver Ladd McConkey, both of whom are expected to make immediate impacts. Additionally, the Chargers made a significant coaching change by hiring Jim Harbaugh as their new head coach. This move, along with the hiring of several new assistant coaches, has brought a fresh perspective and strategic depth to the team. Coupled with a more manageable schedule this season, the Chargers are well-positioned to exceed expectations and potentially surprise many with their performance.

In conclusion, these five NFL teams have strategically bolstered their rosters and coaching staff, setting the stage for potential success in the 2024 season. With new coaching leadership, impactful player acquisitions, and rising stars, each team is positioned to exceed expectations and make waves in the league. But which teams might face setbacks? Don’t miss our next article, where I’ll be breaking down my Top 5 Teams that could regress this season. Stay engaged with us at Jori’s Sports Stories by following us on Twitter @Jorisstories, Instagram @Jds_sportsstories, and subscribing to our YouTube channel, Jori’s Sports Stories, for more exclusive content and analysis.

Until Next Time,

Jori aka JDub🩵

[passionandprecision]

Top 5 NFL Teams Most Likely to Regress in 2024

As the 2024 NFL season approaches, fans and analysts alike are buzzing with predictions and expectations. While some teams are poised to build on last year's successes, others might find it challenging to replicate their performances. Today, we're diving into the top five teams most likely to take a step back this season. Are your favorite teams on the list? Let's break it down.

1. Dallas Cowboys

Key Concerns:

- Lost Too Many Key Players: The Cowboys lost several crucial players and haven't adequately replaced them. Key departures include Tony Pollard, Tyron Smith, Tyler Biadasz, and Stephon Gilmore.

- Big Contracts Looming: The Cowboys have three significant contracts coming up. CeeDee Lamb is reportedly unhappy and has not shown up to camp while, Dak Prescott is on the final year of his contract, and Micah Parsons' contract extension is on the horizon.

- Decision Time: Decisions need to be made on veterans like Demarcus Lawrence and Zack Martin.

- Lame Duck Contracts: Both Mike McCarthy and Dak Prescott are on lame-duck contracts, adding pressure and uncertainty to the team’s future.

- Playoff Performances: The past four years have been marked by playoff flameouts, questioning the team's ability to perform under pressure.

2. Miami Dolphins

Key Concerns:

- Defensive Issues: The Dolphins' defense has been lacking. They've let some key pieces walk and need a stronger edge. Granted they have Jalen Ramsey and Xavien Howard, but they let Christian Wilkins walk.

- Offensive Line Problems: The offensive line has issues, which could hinder their offensive performance. The last thing a team with an injury-prone QB needs.

- Fitness and Power Balance: There is a concern that the team has too much finesse and not enough power, which could become a problem as the season progresses.

- Depth and Health: Depth and health have been problematic, and adjustments in these areas are essential for success. It's almost time to start looking at Mike McDaniel funny because there are times when he makes himself look a little silly by trying to be the biggest brain in football.

3. Buffalo Bills

Key Concerns:

- Roster Turnover: The Bills experienced significant roster turnover due to cap reasons and other factors. Key players like Stefon Diggs, Gabe Davis, Jordan Poyer, Tre'Davious White, Micah Hyde, and Leonard Floyd are all critical to their success.

- Wide Receiver Room: The wide receiver room is young and unproven, which could lead to inconsistency in the passing game.

- Offensive Line: The offensive line remains a question mark, needing improvement to protect Josh Allen and establish a running game.

4. Minnesota Vikings

Key Concerns:

- Quarterback Situation: The Vikings face uncertainty with Kirk Cousins and Danielle Hunter both leaving. Trusting Sam Darnold and A Rookie JJ McCarthy isn't the best idea.

- Defense Overhaul: They are overhauling a defense that still gave up significant yardage, and the new lineup might not gel immediately.

- Running Game: The running game is questionable, and the offensive line needs help to establish a balanced attack.

- One-Score Games: The Vikings won a lot of one-score games last season, a trend that's hard to sustain. With questions at quarterback.

5. Jacksonville Jaguars

Key Concerns:

- Protecting Trevor Lawrence: Protecting their star quarterback has not been a strong suit, risking his health and effectiveness.

- Wide Receiver Consistency: Keeping a solid wide receiver group together has been inconsistent, impacting the passing game.

- Secondary and Pass Rush: The secondary still needs help, and the pass rush could use improvement.

- Roster Turnover: Key players such as Calvin Ridley, DJ Chark, Jamal Agnew, Zay Jones, K'Lavon Chaisson, Tre Herndon, and Rayshawn Jenkins are all factors in the team's changing dynamics.

As we gear up for the new NFL season, it's essential to recognize the challenges and changes each team faces. While these five teams showed promise last year, various factors could lead to a regression in their performance. Whether it's due to roster changes, contract uncertainties, or defensive and offensive challenges, these teams will need to address their weaknesses to maintain their competitive edge. Want to dive deeper into these predictions and hear more insights? Check out the corresponding video on Jori’s Sports Stories YouTube channel for an in-depth analysis and fan discussion!

[cheekycherry20]

I work in the field of aba (applied behavioral analysis) and have been for a little over a year. I started off really passionate about positively influencing the lives of children under the spectrum, because as an adult with adhd, I understood how hard it is as a kid to live in a not-so-opened minded neurotypical society.

I myself was bullied, left out, and made to feel unimportant on numerous occasions. I lacked the correct social skills, trying to mirror my peer’s behavior, yet being completely far off, and struggling to fit in for years. I’ve dealt with anxiety and depression with no outlet and proper coping mechanisms, all made worse with skewed communication skills. All of which I still struggle with today.

I started as a bt(behavior technician) and was quickly pushed into getting my license to become an rbt (registered behavior technician). On the journey to getting my license, I tried to soak up as much information as I could. It was very important to me to be a voice for the children. I had more downs then ups, as I put more pressure on myself then I should.

I wasn’t worried about running targets and gathering data. I wanted to ensure a good quality of life for my children. I’ll always call them my children, because I care for them that much. It’s almost maternal. I cry over my kids, worry about my kids, get angry at my kids. I love them more than anything in the world, I never knew I was capable of love until I got into the field.

Rbts don’t just work alone, we’re directly below bcbas (board certified behavior analyst). They make the plans for the kids, as the rbts run the sessions and gather the data bcbas need. Since the bcbas aren’t in session, it’s incredibly important that the rbt is collecting the right data and being extremely analytical over the session.

In my short time in being an rbt, I’ve been made to feel unimportant (as mentioned before) by numerous senior rbts and most importantly, bcbas. In my personal opinion, not being in a session can make it quite easy for a bcba to make the wrong decisions. In the past I’ve been quite vocal about ideas and goals that my kids can have long term, or just to push them into their next step of life. With children who are learning to functionally communicate, I step up and speak for them if I notice anything. I’m not a bcba, so technically I’m not legally allowed to run something without a bcba knowledge. But once again, my voice doesn’t matter.

As well as taking data, rbts are required to speak to parents. Not just about the child’s day, but for goals, progress, regression, and behaviors. Parent communication is very important, but parents implementing the same strategies as rbts is even more important. Some parents are amazing, but some parents drop their children off as an aba clinic is a daycare. It is far from it.

It’s very difficult watching parents drop their kids off in sick states, or seeing them come in minimal clothing in extreme cold. I’ve seen parents listen to therapist feedback and do the opposite of protocol,ensuring intense behaviors for therapist. As a parent it’s very difficult to live with the behaviors, so I undertstand how hard it may be. But as a therapist, I feel as if I’m not doing enough for my kid because they’re not making progress, because I can’t get them there alone. Parent cooperation is key.

I continue to get shot down and made to feel like I’m incompetent. I don’t know if it’s my age or minimal experience, but whatever the case may be, I no longer want to allow myself to be in spaces where I don’t feel heard. This is a really difficult thought for me to have, as I feel like I’m giving up on so many kids who just need someone to care about them. But I can acknowledge that in this field, caring isn’t always enough.

In the beginning I definitely tried my best. Advocating for my kids wasn’t the hard part, but my mental state is rapidly declining in the process. I truly still want to advocate for my kids, but when I voice my opinions I feel like what I’m saying is wrong.

I believe that stepping out of the field is my best option. To sit and watch fellow rbts and bcbas care too little or not at all for my kids has taken an incredible toll on my mental health. If you’re a parent or friend of someone interested in bringing a child into an aba clinic, please be sure you know exactly who is with them. There’s good therapists and bcbas , but there’s also a lot of people who just so happened to get their license and want a check.

[labdeck123]

Unlock the Power of Data Analysis with STAT Data Modeling Software - LabDeck's Stat Studio

In today's data-driven world, having the right tools to analyze and interpret vast amounts of data is essential for researchers, data scientists, and analysts. LabDeck’s Stat Studio stands out as a premier STAT Data Modeling Software, designed to meet the diverse needs of professionals who work with complex datasets. This robust software offers an intuitive interface combined with powerful analytical features, enabling users to perform advanced statistical modeling with ease.

Why Choose Stat Studio for Your Data Analysis Needs?

Stat Studio is more than just another statistical software; it's an all-in-one solution that helps you unlock deeper insights from your data. Here's why it's a top choice for anyone looking to elevate their data modeling capabilities:

1. Advanced Regression Analysis

One of Stat Studio's most powerful features is its regression analysis toolset. Whether you are performing basic linear regression or more complex methods, Stat Studio gives you the flexibility to choose the right model for your data. Key statistical measures, such as Mean Squared Error (MSE) and R-squared values, are automatically calculated and displayed, providing instant insight into your model's performance. This makes it easy to interpret relationships between variables, ensuring accurate and reliable results.

2. Comprehensive Data Handling

Stat Studio excels in data handling by supporting a wide range of file formats and data sources. With its flexible import options, users can seamlessly integrate and analyze datasets from various origins. Whether your data comes from spreadsheets, databases, or other statistical software, Stat Studio ensures that you can work with it efficiently.

3. Customizable Visualizations

Data visualization is an integral part of any analysis, and Stat Studio’s advanced plotting capabilities make it simple to create professional-grade charts and graphs. Users can easily generate scatter plots, line graphs, bar charts, and more, with a full range of customizable options like marker styles, line types, and color schemes. Additionally, the software allows you to overlay regression lines and add trend lines, giving your visualizations deeper analytical value.

4. Tailored Analysis and Presentation

Customization doesn’t end with visuals. Stat Studio offers extensive options to tailor every aspect of your analysis to meet specific presentation or publication requirements. You can adjust parameters for data scaling, clean your datasets, and fine-tune the presentation of your results to suit your audience, whether you are presenting to a boardroom or preparing for publication.

Advanced Features for Complex Analyses

For users who require more than just basic analysis, Stat Studio offers an array of advanced features. A dedicated “Tests” tab hints at the software’s ability to run a wide variety of statistical tests, including hypothesis testing, ANOVA, and more. These features make Stat Studio a versatile tool for users in fields like academia, market research, healthcare, and beyond.

Additionally, the software includes tools for data cleaning and scaling, which are essential for preparing large and complex datasets for accurate analysis. These pre-processing steps ensure that your data is ready for in-depth statistical modeling, leading to more reliable and meaningful results.

Conclusion: Empower Your Data with LabDeck's Stat Studio

LabDeck’s Stat Studio offers a complete package for anyone looking to perform STAT Data Modeling software. With its combination of advanced analysis features, flexible data handling, and customizable visualization options, Stat Studio is a powerful tool for both novice and experienced statisticians alike. Whether you're conducting regression analysis, creating intricate data visualizations, or preparing your data for publication, Stat Studio provides the precision, efficiency, and versatility you need to succeed.

To learn more about how Stat Studio can revolutionize your data analysis process, visit the official page here.

Embrace the power of Stat Studio and take your data modeling to new heights!

[mariacallous]

President Donald Trump has unveiled his latest tariffs, and they could have significant implications for your wallet.

Trump’s sweeping new tariffs, on top of previous levies and retaliation worldwide, are expected to increase prices for everyday items. The trade wars have already roiled financial markets and plunged businesses into uncertainty — all while economists warn of potentially weakened economic growth and heightened inequality.

Which impacts will be felt by consumers and workers first? And what can households do in the face of so much uncertainty? Here’s what you need to know:

What are tariffs and how will they affect me?

Tariffs are taxes on goods imported from other countries. Companies buying foreign products pay the tariffs imposed on them — and, as a result, face higher costs that are typically passed on to customers.

Trump has argued tariffs will protect U.S. industries from unfair foreign competition and raise money for the federal government. But since so much of what we buy today relies on a global supply chain, steeper tariffs mean you’ll likely see more expensive prices from the grocery aisle to your next car repair.

“It is going to affect everything in the economy,” said Josh Stillwagon, an associate professor of economics and chair of the Economics Division at Babson College. “There’s this immediate price increase that’s going to be passed on to consumers here, basically as soon as the retailers have to buy new product.”

Will the tariffs affect everyone equally?

No. Experts warn that these tariffs could escalate inequities. Low-income families in particular will feel the costs of key necessities, like food and energy, rise with fewer savings to draw on — significantly straining budgets.

Low-income households often “spend a larger share of their income on essential goods — whether it’s food or other basic products … (like) soap or toothpaste,” said Gustavo Flores-Macías, a professor of government and public policy at Cornell University whose research focuses on economic development. Because of this, he said, “even relatively small price increases” will have disproportionate impacts.

Evidence of that disparity will only mount for big-ticket items. Dipanjan Chatterjee, vice president and principal analyst at Forrester, points to now-imposed auto tariffs, explaining that projected price hikes of thousands of dollars for a new imported car will be easier for those with larger salaries to absorb.

“That tax is more severe for people who earn less money,” said Chatterjee. “So it’s a regressive tax.”

What about jobs?

Beyond more immediate price pressures, experts also warn that tariffs could contribute to unemployment or lower incomes down the road. Trump has argued that tariffs will bring manufacturing back to the U.S., but if businesses take profit hits or change their supply sources, there could be layoffs worldwide.

“It’s not just the price aspect and purchasing power decreasing,” said Flores-Macías. “As tariffs start to work their way through the economy …. low-income families’ jobs often will be the first to go. And those sectors of the population are most vulnerable.”

Economist Susan Helper, former senior adviser for industrial strategy at the White House Office of Management and Budget, said that there are some cases where tariffs could raise wages, but this doesn’t look likely to be one of them.

“There isn’t enough certainty for businesses to invest and create new and better jobs,” she said. “It takes a few years at minimum to profit off a new facility or factory, and I don’t think people have the confidence that the tariffs will be stable enough that they will have a return on that investment.”

Which consumer goods will be affected?

The tariffs announced by Trump Wednesday, on top of other levies that are already in effect, tax imports from nearly all of America’s trading partners. And U.S. shoppers currently rely on a lot of goods made abroad.

Fruits and vegetables, your next phone purchase, a pharmacy order, new clothes, or a trip to a mechanic who uses auto parts made outside of the U.S. could all be impacted.

The timing of when prices will go up comes down to inventory, Stillwagon said. Much of that will also depend on how businesses prepare and respond to the new levies. While companies may have stocked up on goods in anticipation of these tariffs, he expects some stores to see more immediate price increases.

Prices on perishable groceries will likely increase first, because supermarket inventories need to be replenished more frequently. But a range of other items — like electronics, household appliances, clothing and footwear — could also be affected in the coming weeks and months.

“Annual losses for households at the bottom of the income distribution are estimated to be $980 under the April 2 policy alone,” according to John Breyault, vice president of public policy, telecom and fraud at the National Consumers League, who cited an analysis from the Budget Lab at Yale. He said that tariffs will disproportionately affect clothing and textiles, with apparel prices predicted to rise 17%.

Consumers are also likely to feel the pinch of tariffs in home buying, Breyault said. The new taxes on building materials are estimated to increase the average costs of a new home by $9,200, according to an analysis by the National Association of Home Builders.

Rerouting supply chains to reemphasize domestic production is also very complex — and could take years. Stillwagon said there are some products, like bananas and coffee, that the U.S. simply can’t substitute to the same scale of production other countries provide. And even for goods that can be made in the U.S., there will still likely be inflation.

“A real worry here is that this won’t just be a one-time price jump,” he said.

For products like coffee, Helper predicts people will likely absorb costs, while changing their shopping choices when it comes to other products.

“I guess you could switch to Coca-Cola if all you want is the caffeine,” she said, lightly. “It will probably be good for California wines.”

Can I do anything to prepare?

Stocking up on what you know you need is a start — but with limits.

“If there are things that you’re buying on a consistent basis — week to week, month to month — I think it’s not a bad idea to try to stock up in advance,” Stillwagon said. But it’s important to avoid panic buying like that seen at the start of the COVID-19 pandemic, he and others added. That could cause shortages to emerge sooner and prices to go up faster.

You also don’t want to buy a bunch of items that will eventually go to waste.

“If you do plan stock up on consumables, make sure you have a plan on how to store them properly so you don’t end up having to throw out that 20-pound bag of shrimp, for example, in a few weeks,” said Breyault.

It may also be time to look for substitutes. From electronics to clothing, Flores-Macías says that there could be more affordable secondhand or refurbished options to turn to. And Chatterjee noted consumers may want to start comparing prices of name-brands versus “private,” or generic, labels in major retailers. Others may turn to at-home solutions, he said, such as growing their own vegetables.

Overall, experts say you’ll need to evaluate your budget and consumption habits for the road ahead.

“This is not a hurricane that’s going to be around for seven days and everything goes back to normal afterward. And you stock up on toilet paper (temporarily),” said Chatterjee. “For all you know, this thing could be around until a different administration comes in and changes trade policy.”

Is there anything to watch out for in the coming months?

Consumers should be on the lookout for even greater use of so-called “shrinkflation” on the grocery aisle, according to Breyault. Shrinkflation is a tactic consumer goods manufacturers use to hide cost increases by changing the design of packaging.

“Consumers can prepare for the inflation that the tariffs are likely to exacerbate by getting into the habit of checking the unit price of items on the grocery shelf,” said Breyault. “While not all states require it, where it is required, consumers can more easily compare the per unit price of one item — cereal, for example — to another item.”

[eligalilei]

Precursors of the Symptom:

‘57 - Symptoms as communicative/semiotic

1. ‘Inscribed in a writing process’ (presumably dynamic, conversational)

2. Ciphered message

‘63 - The symptom does not call out, it is not addressed or conversant, it is an enjoyment

‘74 - "the symptom can only be defined as the way in which each subject enjoys [jouit] the unconscious, in so far as the unconscious determines him.

We might see this as an alliance, or axis, or administration of the domain of the Subject. It is about the internal economy of the Self, for itself. Perhaps it is, in fact, what the self does not surrender, rather than what it demands be heard.

Might then the symptom come with defenses? Is the symptom always a substitute satisfaction, or is it a way to hold on to a satisfaction that was never domesticated?

Here, as a manner of enjoyment, rather than interpersonal effect (or even intrapersonal?), the symptom/sign (what occurs with the disease, and cries out to the healer, the mother, the father… wearing whichever of their masks,) is established as sinthome: what allows one to live, presumably with-in the role-network of the castrated subject, who has lost the ability to express demand for love, itself a response to the trauma of birth. I use this word too much, but this would assert the sinthome as suture.

The sinthome is maybe, in some sense, then, regressive, or is a re-seizure of the lost jouissance… or is an umbilical link thereto? The symptom cannot be simply the sinthome exterrupted, derailed, or it would have no particular character; would only be… a return to polymorphous perversity.

(We have, then, the sign given by the Other, perhaps a demand, a cry for help, a magickal ritual, and, contrarily, private enjoyment, unsignified, mute, autistic.

Clearly, in stitching the orders together, this is insufficient, since it would put the sinthome outside )

If the end of analysis is to identify with the sinthome, this would seem to separate it from the sign-symptom/signifier. I could a psychoanalyst claiming that one need only listen to oneself, or grow such ears as to be able to hear inwardly, so as to only then be able to develop in the ego a model of the unconscious.

Does one, to retraverse Lacan’s pathway, begin with the phantasy that there is someone listening? And then, ultimately, just resign to dance while no one watches? (this sounds…. cliche-edly existentialist. Clearly enjoyment has been traversed, besmirched, encoded, by words)

Maybe Lacan begins with this loop, in the Freudian way, wherein the secret of the Other’s surplus can be returned to him, and the message can be made whole with-in the suffering subject. The Knowing analyst gives the analysand what he does not know he has, it is submitted in toto as a gift to the ego, and the whole is reconstructed by the education of the toxicosis of his lack (this is preliminary and falls flat, of course).

What is clear about the sinthome, is that it is not reducible to the orders RSI, but has rather to do with their (manner of) enbeing. Of course, one of the orders is itself characterized as an absence to intelligibility, so the sinthome must knit together representable and unrepresentable. It is a relation to the Other, and a tangling filigree on our hol(e)y recursive (inter)faces.

To return toward hinting at the, even spectral, shape of a banal summary, which never seems far from any summary of Lacan, one must ‘accept the sinthome’ - ‘accept oneself’. But is that to assume that the symptom is the same as the symptom? Or, is the symptom transformed in its reception? Is there, here, a conversation that needs to be heard? It seems foolish to assume the sinthome to be…. what… primeval autism?

If the sinthome is unanalysable, but productive of analytic satisfaction, is it, in fact, gnosis/tic?

If the symptom begins as a trace, is it in fact a solution in utero (c.f. Gnosticism). Maybe the purpose isn’t to eliminate it at all, but align with it as a means of enjoyment. The sign is not a request, or even maybe a demand, but rather a thread, Wegmark, of Thelema? It is how the Subject/Self/Mind enjoys so far as it is determined by the unconscious and is not mastered by, nor masters, its constitutive enjoyment.

((moments of central holdure))

______

Simply put, the sinthome is at least a stable or metastable deformation and reterritorialization of the symptom, possibly by desire, and perhaps its enjoyment, perhaps constructed around analytic satisfaction and enjoyment.

Specifically, it can name the target of that process as well, as a process which guides processes.

Maybe a locus is this ego model, but one espousing another relation in the constitution of the models, one that turns it into a Klein bottle, so desire's traversals cross the exterior of discourse.

[mvishnukumar]

Is it possible to transition to a data scientist from a non-tech background at the age of 28?

Hi,

You can certainly shift to become a data scientist from a nontechnical background at 28. As a matter of fact, very many do. Most data scientists have actually shifted to this field from different academic and professional backgrounds, with some of them having changed careers even in their midlife years. 

Build a Strong Foundation:

Devour some of the core knowledge about statistics, programming, and data analysis. Online classes, bootcamps—those are good and many, many convenient resources. Give it a whirl with Coursera and Lejhro for specific courses related to data science, machine learning and programming languages like Python and R.

A data scientist needs to be proficient in at least one or two programming languages. Python is the most used language for data science, for it is simple, and it has many libraries. R is another language that might come in handy for a data scientist, mostly in cases connected with statistical analysis. The study of manipulation libraries for study data and visualization tools includes Pandas for Python and Matplotlib and Seaborn for data, respectively.

Develop Analytical Skills:

The field of data science includes much analytics and statistics. Probability, hypothesis testing, regression analysis would be essential. These skills will help you derive meaningful information out of the data and also allow you to use statistical methods for real-world problems.

Practical experience is very important in the field of data science. In order to gain experience, one might work on personal projects or contribute to open-source projects in the same field. For instance, data analysis on publicly available datasets, machine learning, and creating models to solve particular problems, all these steps help to make the field more aware of skills with one's profile.

Though formal education in data science is by no means a requirement, earning a degree or certification in the discipline you are considering gives you great credibility. Many reputed universities and institutions offer courses on data science, machine learning, and analytics.

Connect with professionals in the same field: try to be part of communities around data science and attend events as well. You would be able to find these opportunities through networking and mentoring on platforms like LinkedIn, Kaggle, and local meetups. This will keep you abreast of the latest developments in this exciting area of research and help you land job opportunities while getting support.

Look out for entry-level job opportunities or internships in the field of data science; this, in effect, would be a great way to exercise your acquired experience so far. Such positions will easily expose one to a real-world problem related to data and allow seizing the occasion to develop practical skills. These might be entry-level positions, such as data analysts or junior data scientists, to begin with.

Stay Current with Industry Trends: Data science keeps on evolving with new techniques, tools, and technologies. Keep up to date with the latest trends and developments in the industry by reading blogs and research papers online and through courses.

Conclusion: 

It is definitely possible to move into a data scientist role if one belongs to a non-tech profile and is eyeing this target at the age of 28. Proper approach in building the base of strong, relevant skills, gaining practical experience, and networking with industry professionals helps a lot in being successful in the transition. This is because data science as a field is more about skills and the ability to solve problems, which opens its doors to people from different backgrounds.

[the-most-humble-blog]

⚔️ The Mind Behind the Flame

Keep calling me names. I’ll keep making your role models wet. 📸🦁

Welcome to the mental perimeter breach zone of the-most-humble-blog.

If you’re here, you’ve either:

Survived one of my posts,

Reblogged it in rage hoping someone else would call me a monster,

Or you’re one of those rare few with enough cognitive muscle to recognize a pattern of truth when it slaps your ideology across the face.

Either way: You're here. You're reading. And that means the trap worked. 🧠🐺

🧠 Who Runs This Blog?

Call me Mr. Humble. Not because I’m meek — but because I let my words slaughter politely.

I’m a former military leader, multi-degree academic, global observer, and cultural analyst with no allegiance to fragile narratives.

I’ve led men. I’ve mentored women. I’ve been across borders, across belief systems, and across the battlefield of modern manhood.

I’ve seen the psychological fallout of cultural regression. I’ve seen how truth, logic, and masculinity are now treated like viruses. I’ve seen brilliant men go silent out of fear. I’ve seen mediocre minds weaponize pity for power.

And I said: No more.

This blog is what happens when a highly aware mind gets tired of pretending it's confused.

💥 What This Blog Is

A digital guillotine for mainstream delusion.

A satirical steel boot stomping down on ideological cowardice.

A home for those who outgrew emotional clickbait and can handle words that hit like a brick of truth to the face.

❌ What This Blog Is NOT

A hug box

A gender circle-jerk

A virtue-signaling farm

A safe space for bad ideas

An apology tour

Or a place to earn internet forgiveness for having a spine

If you’re looking for an “ally,” go outside and ally yourself with a blade of grass. This blog is for mental adults only.

🧠 My IQ Isn’t the Point — It’s What I Do With It

Plenty of people are “smart.” Few know how to use that intelligence like a scalpel and a molotov at the same time.

I don’t flex academic degrees. I flex consequence-based thinking.

I don’t cite studies unless they cut cleanly through your fantasy. I don’t “debate.” I perform intellectual amputations and meme the remains.

👁️ Why I Write Like This

Because truth doesn’t beg. It burns. It ruins dinner parties. It kills weak conversations. It shakes entire identity scaffolds.

Because feminism stopped being about equality years ago. Because men are bleeding in silence while the world tells them to “man up” and “shut up.”

Because emotional blackmail dressed as activism needs to be mocked into extinction. Because if I don’t say it, 10,000 men will keep swallowing their rage while pretending they’re fine.

This blog is their voice — said with the volume, venom, and verbal finesse they were taught to suppress.

🛑 Rules of Engagement

You are welcome here if you:

Think critically

Laugh at chaos

Can handle full sentences

Don’t confuse discomfort with harm

You are NOT welcome if you:

Use “-phobic” every time you feel wrong

Think tone is violence

Confuse identity with immunity

Start sentences with “as a…” and expect reverence

Believe truth is whatever makes you cry the least

⚖️ LEGAL: I’m Protected. You’re Just Loud.

All content is protected under U.S. free speech law, academic commentary, and satirical cultural criticism doctrine. You don’t have to like it — but you can’t do a damn thing about it. Want me banned? Try harder. Want me silenced? Bring facts, not feelings. Until then? You are just another screenshot waiting to happen.

🧠 If You’re Still Reading… Congrats.

You have enough awareness to realize:

Not everything that offends you is dangerous. Not everything that comforts you is true.

That makes you rare. And if you’re smart enough to get this far, dangerous.

Welcome to the tribe. 🦁

💣 TL;DR (For the ADHD-crippled)

Smart. Brutal. Free. Don’t like it? There’s the block button. The algorithm still remembers me.

🔗 You just read the mind. Now pick your side.

Share it. Bookmark it. Or block it.

🧠 Truth doesn’t beg. It burns.

[juliebowie]

Understanding Different Types of Variables in Statistical Analysis

Summary: This blog delves into the types of variables in statistical analysis, including quantitative (continuous and discrete) and qualitative (nominal and ordinal). Understanding these variables is critical for practical data interpretation and statistical analysis.

Introduction

Statistical analysis is crucial in research and data interpretation, providing insights that guide decision-making and uncover trends. By analysing data systematically, researchers can draw meaningful conclusions and validate hypotheses. 

Understanding the types of variables in statistical analysis is essential for accurate data interpretation. Variables representing different data aspects play a crucial role in shaping statistical results. 

This blog aims to explore the various types of variables in statistical analysis, explaining their definitions and applications to enhance your grasp of how they influence data analysis and research outcomes.

What is Statistical Analysis?

Statistical analysis involves applying mathematical techniques to understand, interpret, and summarise data. It transforms raw data into meaningful insights by identifying patterns, trends, and relationships. The primary purpose is to make informed decisions based on data, whether for academic research, business strategy, or policy-making.

How Statistical Analysis Helps in Drawing Conclusions

Statistical analysis aids in concluding by providing a structured approach to data examination. It involves summarising data through measures of central tendency (mean, median, mode) and variability (range, variance, standard deviation). By using these summaries, analysts can detect trends and anomalies. 

More advanced techniques, such as hypothesis testing and regression analysis, help make predictions and determine the relationships between variables. These insights allow decision-makers to base their actions on empirical evidence rather than intuition.

Types of Statistical Analyses

Analysts can effectively interpret data, support their findings with evidence, and make well-informed decisions by employing both descriptive and inferential statistics.

Descriptive Statistics: This type focuses on summarising and describing the features of a dataset. Techniques include calculating averages and percentages and crating visual representations like charts and graphs. Descriptive statistics provide a snapshot of the data, making it easier to understand and communicate.

Inferential Statistics: Inferential analysis goes beyond summarisation to make predictions or generalisations about a population based on a sample. It includes hypothesis testing, confidence intervals, and regression analysis. This type of analysis helps conclude a broader context from the data collected from a smaller subset.

What are Variables in Statistical Analysis?

In statistical analysis, a variable represents a characteristic or attribute that can take on different values. Variables are the foundation for collecting and analysing data, allowing researchers to quantify and examine various study aspects. They are essential components in research, as they help identify patterns, relationships, and trends within the data.

How Variables Represent Data

Variables act as placeholders for data points and can be used to measure different aspects of a study. For instance, variables might include test scores, study hours, and socioeconomic status in a survey of student performance. 

Researchers can systematically analyse how different factors influence outcomes by assigning numerical or categorical values to these variables. This process involves collecting data, organising it, and then applying statistical techniques to draw meaningful conclusions.

Importance of Understanding Variables

Understanding variables is crucial for accurate data analysis and interpretation. Continuous, discrete, nominal, and ordinal variables affect how data is analysed and interpreted. For example, continuous variables like height or weight can be measured precisely. In contrast, nominal variables like gender or ethnicity categorise data without implying order. 

Researchers can apply appropriate statistical methods and avoid misleading results by correctly identifying and using variables. Accurate analysis hinges on a clear grasp of variable types and their roles in the research process, interpreting data more reliable and actionable.

Types of Variables in Statistical Analysis

Understanding the different types of variables in statistical analysis is crucial for practical data interpretation and decision-making. Variables are characteristics or attributes that researchers measure and analyse to uncover patterns, relationships, and insights. These variables can be broadly categorised into quantitative and qualitative types, each with distinct characteristics and significance.

Quantitative Variables

Quantitative variables represent measurable quantities and can be expressed numerically. They allow researchers to perform mathematical operations and statistical analyses to derive insights.

Continuous Variables

Continuous variables can take on infinite values within a given range. These variables can be measured precisely, and their values are not limited to specific discrete points.

Examples of continuous variables include height, weight, temperature, and time. For instance, a person's height can be measured with varying degrees of precision, from centimetres to millimetres, and it can fall anywhere within a specific range.

Continuous variables are crucial for analyses that require detailed and precise measurement. They enable researchers to conduct a wide range of statistical tests, such as calculating averages and standard deviations and performing regression analyses. The granularity of continuous variables allows for nuanced insights and more accurate predictions.

Discrete Variables

Discrete variables can only take on separate values. Unlike continuous variables, discrete variables cannot be subdivided into finer increments and are often counted rather than measured.

Examples of discrete variables include the number of students in a class, the number of cars in a parking lot, and the number of errors in a software application. For instance, you can count 15 students in a class, but you cannot have 15.5 students.

Discrete variables are essential when counting or categorising is required. They are often used in frequency distributions and categorical data analysis. Statistical methods for discrete variables include chi-square tests and Poisson regression, which are valuable for analysing count-based data and understanding categorical outcomes.

Qualitative Variables

Qualitative or categorical variables describe characteristics or attributes that cannot be measured numerically but can be classified into categories.

Nominal Variables

Nominal variables categorise data without inherent order or ranking. These variables represent different categories or groups that are mutually exclusive and do not have a natural sequence.

Examples of nominal variables include gender, ethnicity, and blood type. For instance, gender can be classified as male, female, and non-binary. However, there is no inherent ranking between these categories.

Nominal variables classify data into distinct groups and are crucial for categorical data analysis. Statistical techniques like frequency tables, bar charts, and chi-square tests are commonly employed to analyse nominal variables. Understanding nominal variables helps researchers identify patterns and trends across different categories.

Ordinal Variables

Ordinal variables represent categories with a meaningful order or ranking, but the differences between the categories are not necessarily uniform or quantifiable. These variables provide information about the relative position of categories.

Examples of ordinal variables include education level (e.g., high school, bachelor's degree, master's degree) and customer satisfaction ratings (e.g., poor, fair, good, excellent). The categories have a specific order in these cases, but the exact distance between the ranks is not defined.

Ordinal variables are essential for analysing data where the order of categories matters, but the precise differences between categories are unknown. Researchers use ordinal scales to measure attitudes, preferences, and rankings. Statistical techniques such as median, percentiles, and ordinal logistic regression are employed to analyse ordinal data and understand the relative positioning of categories.

Comparison Between Quantitative and Qualitative Variables

Quantitative and qualitative variables serve different purposes and are analysed using distinct methods. Understanding their differences is essential for choosing the appropriate statistical techniques and drawing accurate conclusions.

Measurement: Quantitative variables are measured numerically and can be subjected to arithmetic operations, whereas qualitative variables are classified without numerical measurement.

Analysis Techniques: Quantitative variables are analysed using statistical methods like mean, standard deviation, and regression analysis, while qualitative variables are analysed using frequency distributions, chi-square tests, and non-parametric techniques.

Data Representation: Continuous and discrete variables are often represented using histograms, scatter plots, and box plots. Nominal and ordinal variables are defined using bar charts, pie charts, and frequency tables.

Frequently Asked Questions

What are the main types of variables in statistical analysis?

The main variables in statistical analysis are quantitative (continuous and discrete) and qualitative (nominal and ordinal). Quantitative variables involve measurable data, while qualitative variables categorise data without numerical measurement.

How do continuous and discrete variables differ? 

Continuous variables can take infinite values within a range and are measured precisely, such as height or temperature. Discrete variables, like the number of students, can only take specific, countable values and are not subdivisible.

What are nominal and ordinal variables in statistical analysis? 

Nominal variables categorise data into distinct groups without any inherent order, like gender or blood type. Ordinal variables involve categories with a meaningful order but unequal intervals, such as education levels or satisfaction ratings.

Conclusion

Understanding the types of variables in statistical analysis is crucial for accurate data interpretation. By distinguishing between quantitative variables (continuous and discrete) and qualitative variables (nominal and ordinal), researchers can select appropriate statistical methods and draw valid conclusions. This clarity enhances the quality and reliability of data-driven insights.

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Benefits of Pursuing BA (Hons) Economics and Data Science

Imagine a degree that combines the analytical proficiency of BA (Hons) Economics with cutting-edge Data Science techniques. A truly remarkable program that equips you with a skill set in high demand across various industries.

As a student in this program, of BA (Hons) Economics and Data Science you will understand economic models and principles. At the same time developed advanced data analysis skills. This powerful combination allows you to approach challenges from a unique perspective. It allows the students to blend economic theory with practical data science techniques. 

One of the standout features of BA (Hons) Economics and Data Science is the ability to tackle complex problems from different angles. Economics students examine the details of statistics and regression analysis. On the other hand, Data Science helps refine the accuracy of your findings through innovative algorithms. This holistic approach empowers you to solve even the most difficult issues with an open mind.  

 A Brief Introduction to BA Economics Degree 

Pursuing a BA in Economics is like acquiring a key that can open doors to a world of endless possibilities! As an Economics student, you will master the art of analytical thinking and quantitative reasoning. It is like learning a secret language that allows you to read the complexities of the economic world. With these powerful skills in your store, you will be able to tackle even the most difficult problems with ease. So, what are you waiting for? Dive into the world of Economics and let your potential soar!  

BA Economics job opportunities 

Imagine yourself as a time traveler, discovering the fascinating world of economic theory and its real-world implications. From predicting market trends to shaping policy decisions, you will gain a deep understanding of how the economy works. The beauty of a BA in Economics lies in its versatility.  

Here are the three best BA Economics job opportunities:   

One of the best BA Economics job opportunities for graduates is that of Economic Analysts. They analyse economic data to assist businesses and government agencies in decision-making.  

Another BA Economics job opportunities for graduates is that of Financial Consultant. They provide expert advice to individuals and companies on investments, insurance, and financial planning.   

Market Researchers, who conduct surveys and analyse data to understand consumer behaviour and market trends. 

You will not regret choosing BA (hons) Economic as your major subject. So go for it.   

Here is a brief introduction to the key points about the BA Economics scope: 

A BA in Economics provides students with a strong foundation in understanding market dynamics, economic theories, and principles. This knowledge is highly valuable and sought-after in various business and finance roles. 

Beyond the undergraduate degree, the BA Economics scope extends to further studies and specialisations. Graduates can pursue master's degrees in economics, finance, or business administration to deepen their expertise. 

One of the significant aspects of BA Economics' scope is the potential to contribute to economic development and planning. Graduates can work on projects and initiatives aimed at improving economic conditions at the local, national, or global level. 

Overall, BA Economics scope is quite broad, equipping students with analytical, quantitative, and problem-solving skills that are highly valued across diverse industries and sectors. The degree opens a wide range of career opportunities for graduates. 

Why Shoolini University is the Best Choice for BA Economics in India 

If you are looking to dive into the fascinating world of economics and reveal a world of career possibilities, Shoolini University is the perfect place to start your journey. As the No.1 Private University in India according to prestigious rankings like Times Higher Education (THE) and Quacquarelli Symonds (QS), Shoolini offers an unparalleled education that will set you up for success. 

One of the biggest advantages of studying BA Economics at Shoolini is the university's strong focus on research and practical applications. And with over 250 international partnerships, you will have plenty of opportunities to gain global exposure and broaden your horizons. 

But it is not just about the academics – Shoolini also provides an incredible campus life. With state-of-the-art facilities, a vibrant student community, and plenty of extracurricular activities. At Shoolini you will have everything you need to thrive both inside and outside the classroom. 

So, if you are ready to dive into the exciting world with a successful future, look no further than Shoolini University. With its unbeatable combination of academic excellence, practical experience, and global opportunities, it is the perfect place to start your career in economics. 

Dive into the Exciting World with a BA Data Science Degree! 

Are you someone who loves to uncover hidden patterns, make sense of complex data, and use that knowledge to drive impactful decisions? Then a BA in Data Science might just be the perfect fit for you! With a BA in Data Science, you will develop a unique blend of analytical skills, technical expertise, and creative problem-solving skills. All these skills are in high demand across a wide range of sectors. By earning a BA in Data Science, you will position yourself as a high asset, with the ability to transform raw data into actionable insights that can drive innovation and success. 

 Discover the Intellectual Adventure at Chitrakoot School of Liberal Arts, Shoolini University 

Are you ready to dive into a world of boundless knowledge and limitless possibilities? Chitrakoot School of Liberal Arts at Shoolini University, is where the best BA Economics program in India awaits you. 

At Chitrakoot School of Liberal Arts, the traditional boundaries of academia melted away. It gives you the freedom to study diverse subjects, from the timeless classics of literature to the intricacies of human psychology. This interdisciplinary approach is like a key that opens the door to critical thinking. It allows you to make unexpected connections and apply your knowledge to real-world challenges. 

The Chitrakoot School of Liberal Arts program at Shoolini University is more than just a degree. It is a transformative journey that equips you with the essential skills for success in the 21st century. With Chitrakoot by your side, you will be empowered to cross the complexities of the modern world.