#Methods of trend analysis

[marketxcel]

What Is Trend Analysis in Research? Types, Methods, and Examples

Explore the essence of trend analysis in research, encompassing its diverse types, methodologies, and real-world examples. Unravel the significance of tracking trends to glean insights and make informed decisions in various fields.

[techtoio]

Charging Ahead: The Future of Battery Technology

Introduction

In today’s fast-paced world, the demand for efficient and sustainable energy storage is skyrocketing. As we continue to rely on portable electronics, electric vehicles, and renewable energy sources, the need for advanced battery technology has never been more crucial. At TechtoIO, we delve into the exciting developments that are charging ahead in the field of battery technology. Come along as we delve into the trends and innovations that will change the landscape of energy storage and usage. Read to continue

[whereishermes]

Scholasticism in Medieval Paris

Scholasticism: The Gothic school of philosophy in which scholars applied Aristotle’s system of rational inquiry to interpret religious belief.  The University of Paris was the center of scholarship and teaching in the Gothic age. The professors developed Scholasticism, a philosophy that sought to prove the Christian faith using Aristotle’s reasoning. Thomas Aquinas was the greatest advocate and…

[crystlianajohn]

What are the steps of social media analytics?

Explore the essential steps of social media analytics to harness valuable insights and optimize your online presence.

www.quickmetrix.com

[researchers-me]

Market trends analysis is an essential tool for Strategic Decision-Making. Utilizing market trend analysis reports and effective methods helps businesses gain valuable insights into market dynamics, customer behavior, and industry trends.

[astrocafecoffee]

💫Your future spouse's career based on your Juno persona chart 💫

✨ For entertainment purposes only. Enjoy.✨

🌜what to check?

- just check your Industria (389) asteroid in your Juno persona chart.Find out in which house it falls in!!

Why this asteroid?

- Juno persona chart tells about your future spouse and Industria(389) asteroid is a long term career related asteroid. So this asteroid in your juno persona chart can give a insight about your future spouse's career.

🌜SOME SHORT TERMS I USED HERE :

- FS = FUTURE SPOUSE

-JPC = JUNO PERSONA CHART

Leshh go!

🌆 Industria in 1st house of JPC : 1st house represent one's identity, personality and how they present themselves to the world.This asteroid in 1st house suggests that their career may be tied to their personal identity and innovative spirit. Now some possible career of your fs-

*Entrepreneurial scientist - they may excel in entrepreneurial pursuits within the scientific community. They may innovate new technologies, products that have a significant impact in their field.

* Industry leader - they maybe known for their innovative idea and proactive attitude to their work. They can easily be a leader of their respective industry.

* visionary consultant - they may excel in their field as a respectful advisor, who offers solutions to businesses or individuals seeking guidance.

* Creative director- career in creative leadership such as creative director in advising, film, fashion, or design.

* makeup artist

* Model

* engeneering

* design/ work in media.

🌆 Industria in 2nd house of JPC : Their career may be closely related to their values resources, managing or utilising assets and their sense of stability. Some possible career of your fs -

* wealth management specialist - they helps individuals or organizations maximize their financial resources and investments through innovative and strategic approach.

* Creative Financial analyst - specialised in creative or innovative analysis methods.

* Financial innovator- innovates new financial products, services or strategies.

* asset manager

* Entrepreneurial investor

* can sing well

* accountant

🌆 Industria in 3rd house of JPC : 3rd house represents one's communication style, mental persuits, and interaction within immediate environment. When this asteroid in your 3rd house this can indicate that your fs may excel in the career of innovative communication methods or technologies. Some possible career of your fs -

* They may into journalism, media, broadcasting, or public relations where someone uses their creative ideas.

* technology writer/ blogger: their career path may involve writing / blogging about technologies or industry trends or sharing their ideas with wide audience.

* Workshop/ educational outreach programs.

* small business owner

* excel in troubleshooting skills, problem solving abilities, explaining complex concepts in simple terms.

🌆 Industria in 4th house of JPC : their career tied to their home , family roots, and emotional well-being.some possible career of your fs -

* career in real estate - specialize in designing sustainable, eco friendly, or technologically advanced buildings.

* e- commerce, consulting, freelance work.

* Family councillor or therapist - they may help individuals and families navigate challenges, fostering harmony and growth within te hone environment.

* interior designer

* Home renovation specialist

* Family owned business owner.

* childcare provider

🌆 Industria in 5th house of JPC : 5th house is associated with creativity,joy, children and hobbies. It governs one's individual approach to work, self expression and personal fulfillment. So your fs career strongly related to this area of life. Possible careers -

* creative artist/ entertainer - Excels in creative profession like music , theater , film, writing etc.

* event planer- organizing wedding, festivals or social gathering.

* teacher/ coach - inspiring or guiding others in academic subject/ sports.

* youth councillor - natural affinity to work with young people and helping them to discover their talents.

* atrs nd crafts business owner.

* fitness instructor

* dance teacher

* entertainment industry professional.

🌆 Industria in 6th house of JPC : 6th house is associated with employment, daily task, health and service to others. So possible career of your fs -

* health care professionals - career related to healthcare, nursing, doctor, medicine, and pharmacy.

* nutritionist/ dietician - helping others to improve their dietary habits , manage health condition.

* fitness trainer/ coach - motivates others to adopt healthy lifestyle.

* administrative professional - may indicate talent for efficiency, attention to detail, making career in administrative or office management appealing.

* environmental scientist

* social worker

* reasearch assistant

🌆 Industria in 7th house of JPC : 7th house is related to marriage, buisness partnership, legal matters, and one-on-one interactions. Possible career domains of your fs-

*legal professional - career related as mediators, legal consultant, specialization in areas such as contrat law , family law or dispute resolution.

* business consultant - expertise in the area of strategy, negotiation, and partnership development.

* marriage and family therapist - helping couples navigate challenges, improve communication and strengthen their bonds through therapy or councilling sessions.

* international business manager

* foreign affair specialist

* event coordinator

*public relation specialist

* human resources manager

🌆 Industria in 8th house of JPC : 8th house is associated with themes such as mysteries, psychology, healing, emotional connection. So possible careers of your fs -

* psychologist/ psychotherapist - your fs may excel in trauma therapy, helping others to navigate profound emotional experiences , uncover hidden truth.

* forensic investigator/ crime analyst- they may be focused on uncovering hidden truths and solving mysteries.

*massage therapist - specialize in modalities such as deep tissue massage, craniosacral therapy or helping clients release emotional/ physical tension through healing.

* reasearch scientist - may excel in fields such as psychology, quantum physics, or consciousness studies.

* occultist - astrologer, tarot reader, or spiritual councillors.

* healer/ energy worker

* heal others through their respective fields. Can be. Singer too .

🌆 Industria in 9th house of JPC: 9th house is associated with themes such as higher learning, expansion of horizons , seeking truth, broadening one's perspective through travel/ exploration. Possible careers of your fs -

* international relations specialist - involve promoting international cooperation, resolving conflicts, forming mutual understanding between nations and cultures.

* spiritual teacher/ guru- your fs may pursue careers as spiritual teachers, gurus, mentors, guiding others on their spiritual journey.

* tour guide

* philosopher

* religious leader - may pursue careers as priests, ministers, guiding and supporting communities in matters of faith and spiritual growth.

* global NGO worker

* foreign language teacher

🌆 Industria in 10th house of JPC: 10th house is associated with themes such as career aspirations, social status, reputation, and professional achievements. This asteroid influences the individual's approach to career, public image, authority, ambition. So possible careers of your fs -

* media personality/ influencer - television hosts , journalist, bloggers, social media influencer , reaching a wide audience.

* creative director/ artist - artist, designer, performers.

* CEO

* startup founder, business owner, or self employed professionals.

* legal professional/ lawyer

* educational administrator

🌆 Industria in 11th house of JPC: when your industria asteroid in this house your fs may excel in the career of social network, group affiliation, humanitarian causes, collaboration etc. So possible careers of your fs -

* social entrepreneur - creates innovative solutions to adress social challenges.

* Tech entrepreneur, start-up founder.

* content creator - social media influencers, bloggers, using their platforms to inspire/ educate peoples.

* environment activist

* advocate

* community organizer

* designing educational platforms , or promoting digital literacy.

🌆 Industria in 12th house of JPC: 12th house is often associated with hidden strengths, spirituality, and working behind the scenes. So possible careers of your fs -

* they might work in reserch and development, data analysis or logistical planning behind the scenes.

* astro- spiritual researcher

* music industry

* astrologer

*song writer.

* mystical or spiritual advisor.

* environmental conservationist.

⚡ Note : these are only some possibilities of careers of your fs. And guys check the degrees to , it's like cheery on top 💌

🌜Don't forget to check my other observations too 👀

That's it guys , see you soon 💝

- piko 💖

[alltoomaples]

Speed of Science🧬💻💌

I'm dating a STEM girlie and you're not (F1 Edition)

a/n: and im baaaaaacccckkkkk (like anyone even missed me lmao) with the long overdue request! life of a postgrad StEm girlie here and the struggle is really realll af. but besides that, I'm writing this down as a headcanon for the drivers requested on this poll i had posted long back here. I've always wondered how there's soo minimal povs/ocs where they are a scientific researcher, analyst, etc. sooo i dedicate this one to all the STEM F1 girlies out theree <33

alsoo quick shoutout to my girlieee @smoooothoperator for inspiring and motivating me to get back at writing!🥹🫶🏼 check out her lastest ongoing work 'What Was I Made For? ' its amazing and thats a FACT!! do check her works! its absolutely amazing❤️

check out my works: until i found you masterlist | other works

Scientific Art Illustrator - Charles Leclerc

As a Scientific Art Illustrator, you specialize in creating visually captivating and scientifically accurate illustrations that depict complex biological, astronomical, or technological subjects.

Charles first discovered you through your works at an exhibition where their stunning illustrations of Formula 1 cars caught his eye. Impressed by their attention to detail and artistic talent, they struck up a conversation about their mutual love for precision and creativity.

During a peaceful weekend afternoon, Charles suggests a spontaneous visit to a local art supply store. Excitedly exploring aisles stocked with vibrant paints, fine brushes, and specialized papers, the two of you engage in discussions about artistic techniques and innovative tools. Amidst laughter and shared enthusiasm for creativity, you bond over your mutual appreciation for the intricacies of art and science, making the afternoon a cherished memory of their shared passions.

After being away from home during race season, Charles always finds a framed series of sketches by you for the races you couldn't make it, capturing his most memorable racing moments. Each sketch is intricately detailed, depicting not only the speed and intensity of the races but also the emotions and determination etched on Charles' face. Touched by the thoughtful gesture, Charles hangs the sketches in his study, a constant reminder of your support and admiration for his passion.

...

Data Scientist - Lando Norris

A Data Scientist specializes in analyzing large volumes of data using statistical methods and machine learning techniques to extract insights and make data-driven decisions.

You and Lando first connected through a mutual fascination with racing data at a technology symposium focused on sports analytics. Your presentation on advanced predictive modelling in motorsports caught Lando's attention for its innovative approach to enhancing race strategies.

During a cosy evening at home, Lando playfully challenges you to a friendly data analysis competition using real-time telemetry from previous races. Their banter and shared excitement over dissecting racing data create a lighthearted and memorable bonding experience.

You two would watch old races and analyze historical racing data together, playfully debating optimal pit stop strategies and analyzing driver performance trends, their shared passion for racing and data fostering a deep connection and mutual admiration.

...

Oceanographer/Marine Biologist - Oscar Piastri

An Oceanographer or Marine Biologist studies marine life, ecosystems, and ocean processes to understand and protect marine environments and resources.

You and Oscar crossed paths during a research expedition to study coral reefs in a remote location. Your expertise in marine biology and passion for conservation impressed Oscar, sparking their connection.

Amidst the hectic F1 season, Oscar surprises you with a weekend getaway to a coastal retreat, where they explore tide pools and participate in a beach cleanup together, reaffirming their commitment to environmental stewardship.

You gave Oscar a custom-made charm bracelet featuring miniature charms of marine animals they've discussed during their beach walks and conservation talks. Each charm represents a meaningful moment in their relationship, from their first discussion about oceanography to their shared admiration for marine life. Oscar wears the bracelet during race weekends as a reminder of you and all the love and support you give, both on and off the track.

...

Mechanical Engineer - Daniel Riccardo

You are a passionate Mechanical Engineer, specializing in advanced automotive design and performance optimization.

Daniel first encountered you at a technical conference organized by one of the team sponsors where you presented groundbreaking research on aerodynamic innovations that caught his attention.

Often, while you meticulously draft engineering schematics at their home office, he makes sure that you have your "engineering emergency kit" beside your workstation, which is a tray of snacks and their favourite coffee – ensuring they're fueled for their late-night brainstorming sessions. For when he's away for races, he stacks them up with small cute notes.

Before Daniel heads to a crucial race, you surprise him with a meticulously crafted miniature replica of his race car, complete with detailed decals and a personalized message of encouragement engraved on the base. Touched by the thoughtful gesture, Daniel proudly displays it in his motorhome, a reminder of the reader's unwavering support both on and off the track.

...

Statistician - George Russell

A Statistician specializes in collecting, analyzing, and interpreting numerical data to help organizations and individuals make informed decisions.

You and Russell first crossed paths during a university seminar on advanced statistical modeling in sports. Your insightful analysis of Formula 1 race data caught George's attention, sparking a lively discussion that led to mutual admiration for each other's analytical skills and shared passion for racing statistics.

During a particularly demanding race weekend, the reader surprises George with a meticulously prepared statistical analysis report highlighting his strengths and areas for improvement based on recent race data. This thoughtful gesture boosts George's confidence and motivation, showing the reader's support in his pursuit of excellence.

During a weekend getaway, you guys stumble upon a local go-kart track. George, always up for a challenge, suggests they have a friendly race. Knowing George's competitive spirit, you secretly calculate his optimal strategy and surprise him by winning with a perfectly executed last-minute overtaking maneuver. George is impressed by the your strategic thinking and playfulness, and they share a lighthearted and joyous moment celebrating their shared love for racing and friendly competition.

...

Astrophysicist - Logan Sargeant

An Astrophysicist studies the physical properties, behavior, and evolution of celestial objects such as stars, planets, galaxies, and the universe as a whole, using principles of physics and astronomy.

Logan and you first crossed paths during an expedition to study a rare astronomical event—a comet passing close to Earth. Both passionate about astrophysics, you found yourselves sharing a telescope at a remote observatory, marveling at the comet's beauty and discussing its celestial significance late into the night. Their shared awe and intellectual connection sparked a mutual admiration that grew into a deep bond over their shared passion for exploring the wonders of the cosmos.

During a quiet evening at home, Logan excitedly shows you a new telescope he acquired for stargazing during race weekends, expressing his eagerness to learn more about the cosmos together and sharing their enthusiasm for both racing and astrophysics in equal measure.

Before a critical race weekend, the reader surprises Logan with a personalized star chart that maps out the night sky above the upcoming race venue during the race weekend. Each star on the chart is marked with a heartfelt message of encouragement, reminding Logan of their unwavering support and belief in his abilities on and off the track. Touched by the thoughtful gesture, Logan treasures the star chart as a symbol of the reader's love and encouragement throughout his racing career.

...

Climate Scientist - Lance Stroll

A Climate Scientist studies climate patterns, environmental changes, and their impacts on Earth's ecosystems, using data analysis and modeling to understand and address global climate challenges.

Lance crossed paths with you at an eco-friendly racing event where Lance was advocating for sustainable practices in motorsport. Being a respected climate scientist, you caught Lance's attention with your insightful presentation on the environmental impact of racing and innovative solutions for reducing carbon footprints in the sport. Their shared passion for sustainability sparked an immediate connection and admiration for each other's dedication to making a positive impact on the environment.

One weekend, Lance surprises you with a homemade dinner featuring sustainably sourced ingredients, proudly showcasing his culinary skills while discussing ways to reduce your carbon footprint. His earnest commitment to sustainability and your shared vision for a healthier planet melts your heart, making this a cherished moment you both treasure.

You, being deeply involved in climate science, often spends late nights analyzing data or writing research papers. One evening, Lance bring him a cozy blanket and a mug of your favorite hot beverage, quietly sitting beside him as he works. You look up from your laptop, touched by his thoughtfulness, and pulls him into a warm embrace, grateful for his unwavering support and understanding of your demanding but vital work.

...

taglist: @lndonrris @thatgirlmj @lwstuff @dannyramirezwife-f1dump @moonypixel tysm for your suggestions! apologies on taking this long to write😅🫶🏼

a/n: hope y'all enjoyed reading this! this was my first time writing a headcanon and for f1 drivers beside charles and lando so hope i did justice to all.

i'm being wanting to read some good domestic bliss, sweet, adorable and lovey dovey blurbs, fics of lando (i talked abt it here) soo maybe i'll work on some drafts at some point cause i'm currently in the middle of project work of my masters degree soo don't know when i'll be posting soo until next time, see yaaa and going back to read mode 👋💓✨️

check out my works: until i found you masterlist | other works

[gladstones-corner]

On Tarot Reading Methods

Recently, I’ve seen some posts regarding how tarot “should” be read—especially for beginners. I want to clear the air: I find such posts reductive and limiting. There is no wrong answer for reading tarot. Some prefer larger spreads to read patterns and trends; other prefer smaller spreads to be more intimate with each card.

While this blog typically covers forging your own path from an intermediate to advanced standpoint, it’s worth revisiting the basics with a trained eye from time to time. So, this post will examine two competing approaches towards tarot: the card based and pattern based methods.

Before anything else, I want to say one more thing. These approaches form two ends of a spectrum. When beginners start reading tarot, they typically pick one of two camps. After some time, though, readers should move towards the center of the spectrum until they find their particular balance.

Therefore, this post does not claim that one is better than the other—it is simply a comparison of methods. Choosing one happens at your discretion.

One last note before we get started: this commentary applies primarily to the following tarot decks and their major derivatives:

Golden Dawn Ritual Tarot

Thoth Tarot

Hermetic Tarot

Builders of the Adytum Tarot

Rider Waite Smith Tarot

Decks such as The Wildwood Tarot, which are based on their own system of correspondences, should have at least a surface level interpretation of them in the accompanying handbook. From there, you can apply some of this commentary—but primarily I’ll be speaking from within my tradition in this post.

Okay, with all that out of the way, let’s get started.

Card Based Reading

In this method, the querent asks their question, then looks at each card in isolation before comparing the picture as a whole. Many who do this believe that each card’s depth offers a full answer on its own. This can be a convincing argument, given how many associations a single card can have:

Visual description

Motifs

General interpretation

Specific interpretation (consciousness, relationships, etc.)

Associated archetypes

Numbers

Correlations to other divination systems

Astrological correspondences

Deities and mythologies

Honored days

Stones, herbs, and natural phenomena

And so forth.

Of course, the drawback is that it is easy to get lost in all the interpretations and leave with more questions than answers. However deep you reach, there are still deeper layers. For example, Scorpio’s appearance in the Death card of the Thoth tarot comes with a slew of its own correspondences, which have their own correspondences, and so forth. As a result, those who begin with the card based method tend to favor smaller card spreads, such as single daily pulls and three-card spreads.

Pattern Based Method

Querents in this method ask their question, then rely on the relationship of the cards as a whole as opposed to the deeper meanings of each individual card. Proponents tend to argue that tarot is a fluid act with a flow to it, and as such nothing can be read in a vacuum. This can also be a convincing argument, as it encourages readers to see the forest through the trees for a more complete textual analysis.

However, in focusing on comparison between cards, you can lose some of the deeper meaning. For example, unless multiple cards have astrological symbolism (e.g. Death’s Scorpio and Lust’s Leo), it’s easy to forgo the astrological correspondences of any single card. Thus, deeper layers of connection can go undiscovered. As a result, those who begin with the pattern based method tend to favor larger spreads, such as three-card daily pulls and variations of the Celtic Cross.

Comparing the Two Methods

As previously stated, starting with either of the methods is a matter of personal preference, so long as it doesn’t limit you. Note that three-card spreads are popular among both methods; try reading the same three-card spread with both methods and see which you like more.

Let’s take a look at an example: a three-card spread could be composed of a Body card, Mind card, and Spirit card. Each one explains a facet of the Self that we should be aware of for the proceeding week. Using the Thoth tarot, we get the following:

Body: VIII – Adjustment

Mind: XIV – Art

Spirit: 0 – The Fool

In the single card method, we look at how Adjustment affects our Body, how Art affects our Mind, and how The Fool affects our Spirit. We may find commonalities as a byproduct, but in essence the single question “what do I need to be aware of” has yielded three distinct answers.

We flip through our favorite interpretation book (in my case, The Crowley Tarot by Akron and Hajo Banzhaf) and find all the deep symbolism in each answer. For brevity’s sake, let’s summarize:

Body: take better care of the body through disciplined nutrition, exercise, and sleep.

Mind: find balance of the mind by facing cognitive dissonance and overcoming it.

Spirit: approach life with a sense of newness and openness.

Should we use the pattern based method, we look at all three cards at once. We examine colors, common imagery, even numerical similarity—nothing is off the table. A quick glance at our favorite interpretation book gives us the surface meanings, but beyond that we rely entirely on the imagery present. For brevity’s sake, let’s summarize here as well:

The Self needs a balance of openness and discipline to fully find peace. Where the Body revels in patterns and structure, the Spirit revels in freedom. In the Mind these come together and cause stress. To overcome it, allow both their space.

Either method will net the same broad strokes; the difference is the road taken to get there.

Finding Balance Between the Two

So far, we’ve discussed the merits and drawbacks of each method. We also looked at a sample reading and how to apply each method. That’s all well and good, but how do we find a balance between the two?

The answer is that it depends on your preferences and access to the wider world of correspondences beyond those in your interpretation book. Typically, the answer also depends on the context of the reading as well. I sometimes use a modified spread from The Psychonaut’s Field Manual by Archtraitor Bluefluke. It looks like this:

The core of the question

What could help

What could hinder

The catalyst to the situation

Possible Outcome 1

Possible Outcome 2

Possible Outcome 3

Cards 1-4 use the pattern based method. This allows me to see the trajectory of the situation and how the different factors interact with each other. However, cards 5-7 use the card based method. This is because each outcome is distinct, so to view them concurrently makes little sense.

The main point is to find a balance that works for you. The sheer amount of correspondences for the tarot is so vast that you can play to your strengths. In keeping with the theme of the post, if you’re an astrologer, you can leverage your knowledge of astrological correspondences.

Conclusion

Thank you for reading. I want to stress one more time that neither method is superior to the other. Both are equally valid; both are equally necessary to a full-fledged reading. Finding your particular balance is going to take time and practice, but it’s well worth it.

Until next time, stay safe and stay tuned. Blessed be.

[marketxcel]

What Is Market Research: Methods, Types & Examples

Learn about the fundamentals of market research, including various methods, types, and real-life examples. Discover how market research can benefit your business and gain insights into consumer behavior, trends, and preferences.

[mesetacadre]

Another aspect about the student movement that's not made explicit a lot, alongside with the necessity of the centrality of the worker's movement, is that's it's almost always a purely reactive movement. Proactivity and a more constant activity requires a well-defined set of goals, independent of the comings and goings of national and local political trends, as well as a degree of consciousness you'd be pressed to find at your nearest faculty and high school in the imperial core. As a predominantly reformist space, conditioned by the economic sensibilities brought to the forefront by the hand of imperialist superprofit socialization, the student-unionist movement is not that distinct from the worker-unionist movement, or the neighbor-associationist movement. Since the goal is reformism or even the mere desire for the non-worsening of conditions, any action is defined by that reactivity. The only times when workers, students, or residents experience real mass movements are the times when a specific issue is brought to the forefront of social discussion. And crucially, since that massification requires the agreement between elements of all stripes, it very often ends up limited to opposition against the issue, and perhaps a broad slogan capable of summarizing every group's position, but essentially never a specific set of systemic demands or desires.

And as quickly as those mass movements come, they always end up submerged underneath history and the burn out of the most involved elements. Instead of a sustained fire, it's a bright spark which may char capitalism's skin, but never cut that skin open. These movements, again, conditioned by spontaneity and reactivity, go through periods of fluxes and refluxes. The strategy before this fact, as organized communists, is to, of course, carry on work through those periods of reflux, but also to participate in the periods of flux, bring class positions and a class analysis to the often politically shallow spaces those massifications take place in, and attempt to show through discussion and action how communists tackle these same issues. Once the inevitable reflux washes grifters, instagram infographics, and affinity groups away, only a competent communist party will remain, able to pick up the pieces, integrating whoever was convinced of their program during the flux's dusk, ready to once again educate class consciousness into anyone willing to listen, with better analyses and methods. This is, in broad terms, how communist parties should tackle social movements in the imperial core, as long as they are conditioned by the aspects I've explained.

[srbachchan]

DAY 6057

Jalsa, Mumbai Sept 17, 2024 Tue 11:26 pm

The impotency of content :

"The term "impotency of content" suggests a situation where content—whether in the form of text, media, or other forms of communication—fails to achieve its intended purpose or lacks meaningful impact. This concept can be explored from multiple angles, including the relevance of the content, its delivery, and the broader context in which it exists.

Content becomes impotent when it fails to resonate with its intended audience. Relevance is key; if content does not address the needs, interests, or concerns of its audience, it is likely to be ignored or dismissed. For instance, a marketing campaign that does not align with the target demographic's values or preferences is unlikely to generate engagement or drive sales. Similarly, academic content that lacks practical application or fails to address current research gaps can be deemed impotent in the context of advancing knowledge or solving real-world problems.

Even if content is relevant, its effectiveness can be diminished by poor delivery. This includes factors like the format, accessibility, and clarity. Content that is poorly organized, difficult to navigate, or presented in an unappealing format may fail to capture and maintain the audience’s attention. For example, a well-researched academic paper presented in dense, jargon-laden prose might be ignored by those who could benefit from its findings. Effective delivery involves not just the substance but also the style and method of presentation, ensuring that the content is engaging and accessible.

In today’s information-rich environment, content is often lost in a sea of competing messages. The sheer volume of content available can lead to saturation, where individual pieces struggle to stand out or make an impact. This is particularly relevant in digital media, where algorithms and social media platforms amplify popular or sensational content while less eye-catching material may be overlooked. In this context, even valuable content can become impotent if it cannot rise above the noise. Content must be timely and contextually appropriate to be impactful. Content that is outdated or irrelevant to current events or trends can quickly lose its significance. For instance, historical analysis or commentary that does not consider contemporary developments might appear disconnected or obsolete. Understanding the broader context in which content is produced and consumed is crucial for ensuring its relevance and impact.

Ultimately, the effectiveness of content is measured by its ability to engage and elicit a response from its audience. Content that does not prompt interaction, reflection, or action is often considered impotent. This engagement is not just about attracting attention but also about fostering meaningful connections and responses. Content that encourages dialogue, provides value, or inspires action is more likely to be perceived as potent and impactful.

In conclusion, the "impotency of content" underscores the abd not a word about the mediaimportance of relevance, delivery, and context in determining the effectiveness of communication. To avoid impotency, content creators must carefully consider their audience’s needs, ensure their delivery methods are effective, and remain mindful of the broader information landscape. By addressing these factors, content can transcend its potential impotence and fulfill its purpose, whether that be to inform, persuade, entertain, or inspire."

and hahaha .. 🤣 and not a word about media for which it was intended .. the most protected, educated, ultimate genre in this Universe ..

Love and in the more of reality ..

Amitabh Bachchan

[covid-safer-hotties]

1 in 5 People Could Have Long COVID - Published Nov 8, 2024

By Dennis Thompson

FRIDAY, Nov. 8, 2024 (HealthDay News) -- More than 1 in 5 Americans likely suffer from long COVID, a new AI-assisted review has found.

The analysis suggests that nearly 23% of U.S. adults experience the symptoms of long COVID, according to results published Nov. 8 in the journal Med.

That’s much higher than the 7% prevalence of long COVID that’s been suggested by other studies, researchers said.

“Questions about the true burden of long COVID -- questions that have thus far remained elusive -- now seem more within reach,” said senior researcher Hossein Estiri, head of AI research at Mass General Brigham in Boston.

For the study, researchers developed an AI tool that can sift through mounds of electronic health records looking for the frequently subtle symptoms related to long COVID.

These symptoms can occur in a wide range of body systems, and include fatigue, chronic cough, heart problems and “brain fog.” They typically develop weeks or months after a person shakes off their initial COVID-19 infection.

“Our AI tool could turn a foggy diagnostic process into something sharp and focused, giving clinicians the power to make sense of a challenging condition,” Estiri said in a Mass General news release.

The AI specifically looks for symptoms that can’t be explained by a person’s medical history, have persisted for two months or longer and occur following a COVID infection, researchers said.

For example, the AI can detect if shortness of breath might be explained by pre-existing heart failure or asthma, rather than long COVID.

“Physicians are often faced with having to wade through a tangled web of symptoms and medical histories, unsure of which threads to pull, while balancing busy caseloads. Having a tool powered by AI that can methodically do it for them could be a game-changer,” said lead researcher Dr. Alaleh Azhir, an internal medicine resident at Brigham and Women’s.

Based on these parameters, the AI estimated that nearly 23% of Americans likely have long COVID, a figure that researchers argue aligns more closely with national trends.

The researchers plan to release the AI publicly on open access, so doctors and health care systems can employ and test it.

Study Link : www.cell.com/med/fulltext/S2666-6340(24)00407-0?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2666634024004070%3Fshowall%3Dtrue

[sgiandubh]

The point is no one knows how many he or any these big accounts actually does have. This type of behavior aligns with the FACT he is not as popular as you all want him to be and explains why his engagement numbers are low and although he has 4M IG followers, you ask any random 100 people on the street in the US where his US based show is the most popular and not a one will have a clue who he is. He has about 250k fans and 25k fanatics. Not many to build a future career on and not many to hide some secret marriage, relationship to a co star who is legally married to someone else with one son.

Dear FACT Anon,

Brush up your grammar first, you begin your Orwellian Two Minutes Hate with another nonsense phrase: 'The point is no one knows how many he or any these big accounts actually does have.' This, you see, betrays you - enough said: your native language is a Germanic one, albeit not English and not German. Dutch, perhaps?

No one knows what, exactly? How many fans? How many followers? Quite different things indeed, and you surely know it: you logically still are a fan and show appreciation for what he does, even if you don't follow him on Instagram . You can't be that stupid as to presume all of his fans are just on Instagram, do you? Thus, how is some fluctuating index relevant in the great scheme of things? It is partial. It is segmented. It is easily explained by external factors, such as the ones I have described. Why you still cling to this cargo cult belief is just beyond me.

If S were Coca Cola and you were a hired consultant in charge of a global analysis of the brand, I would have fired you already. I don't care how the outlook is on the Ruritarian market only, the brief you would have gotten was to go global and come with the latest trends.

'you ask any random 100 people on the street in the US where his US based show is the most popular and not a one will have a clue who he is. He has about 250k fans and 25k fanatics.' Look at you talking, dear illiterate: 'not a one', when English has the very effective 'no one' or 'not a single one'. The rest comes from the spite and bile of a particular blogger, you all chose to snowball endlessly. It is wrong. It is strange. It is boring. I don't even know how you came up with these figures: instead of parroting whatever you have been told, kindly explain the method you used to reach them. Extrapolation has its limits and it is always used in order to artificially inflate, not deflate something at all costs. I see no point in entertaining this theory based on absolutely nothing.

But your point was not related to all of the above. All of the above was but a pretext for you to shove in your last phrase. I think you are in a very bad spot in your life, Anon. I'd seriously suggest to get help, at this point. You deserve better than this kind of ridiculous, pointless Internet joust.

[imogenleewriter]

Harry Styles/Louis Tomlinson AO3 Works Stats

The other day, I was curious to see what the trajectory of uploads of Larry fanfic on Ao3 was and if it was increasing.Anyway, it was a pretty simple process, and here were the findings:

Perfect right? Done. Time to go to bed? No, because ya girl got hyper-fixated. So grab a cup of tea and enjoy this absolutely ridiculous waste of time...

Introduction

The Covid-19 pandemic profoundly affected various aspects of societal behaviour, including participation in online communities. The ‘Larry fan fiction community’ had a notable influx of new participants and emerging writers during this period. My antedotal observations suggested a significant number of authors have been publishing their first works as recently as this month. This study aims to quantify the trends in Harry Styles/Louis Tomlinson fan fiction uploads on AO3 (Archive Of Our Own) over the past decade, with a particular focus on discerning any noticeable uptick in contributions corresponding to the pandemic’s timeline.

Method

The data collection was executed over several days, starting from the 16th of October 2023. Due to this, the 16th of October was used as a reference point for all of the 12-month periods. The following parameters were employed for filtering:

Relationship Category: Harry Styles/Louis Tomlinson.

Inclusivity: All pieces that included this relationship, irrespective of the presence of other pairings. The result of this means there are likely some works included where they are a side pairing.

Language: All languages were included.

Work Status: Both individual pieces and those parts of a series were included, as were completed and incomplete works.

Accessibility: Being logged in allowed access to members-only works.

During the analysis, two works were excluded due to backdating, to ensure the timeframe remained consistent. Due to the dynamic nature of the fan fiction platform, some works underwent updates or were removed during the data collection process. While these fluctuations did cause some inconsistencies, they were negligible and did not significantly impact the overall dataset.

For the 12-month periods under consideration, three main categories were analysed: total, completed, and unfinished.

Results

A comprehensive analysis of Harry Styles/Louis Tomlinson fan fiction uploads spanning from 2011 to 2023 revealed the following insights:

2011: A total of sixteen works were documented, all of which were completed.

2012: The total number of uploads rose to 417. Among these, 409 were completed works, while eight remained unfinished.

2013: A significant surge was observed, with total uploads reaching 4,795. Completed works accounted for 4,251, whereas 544 were left incomplete.

2014: The growth trend continued, recording a total of 6,303 uploads. 5,296 were completed, and 1,007 were in-progress.

2015: The first decline was witnessed, although minor, with 6,105 total uploads. Completed works comprised 4,919, and unfinished ones stood at 1,186.

2016: A slight decline was noted, totalling 4,805 works. Completed pieces were 3,765, with 1,040 still in-progress.

2017: Uploads further decreased to 2,898. Of these, 2,297 were completed, and 601 remained unfinished.

2018: A modest rise was seen with 2,784 total works. Completed contributions were 2,275, while 509 were ongoing.

2019: The total dropped to 2,064. Completed pieces stood at 1,700, and 364 were still under development.

2020: A slight increment occurred, totalling 2,572 uploads. Of these, 2,071 were finished, and 501 were ongoing.

2021: The count increased to 3,195. Completed works reached 2,483, with 712 in-progress.

2022: A total of 3,767 works were uploaded. Completed works were 3,090, while 677 were yet to be finished.

2023: The most recent data showcases 4,018 total works, with 3,104 completed and 914 still ongoing.

After collating the primary data on completed and uncompleted works, I wanted to look at the distribution based on word count. The intention behind this exploration was to discern if there were patterns or preferences within the writing community regarding the length of the stories. (Please note that on diagrams representing word count, the years are now in descending order)

The categorisation of word count was structured. Works were segmented into word count brackets that started from the shortest stories, ranging from 0 to 1999 words, then progressively moved up in intervals: 2000-4999 words, 5000-9999 words, and so on due to the high prevalence in numbers in the shorter works. This structured approach allowed for a visual representation of how numerous works fell into each bracket for each year.

If you click on it, you might be able to see the distribution.

Results: Word Count Analysis

The following overview encapsulates the distribution of word counts for fan fiction uploads from 2011 to 2023:

0-10,000 Words:

2023 observed the highest concentration within this frame with 2507 works. Over half of the total published works for the 12-month period were found within this bracket.

The trend experienced notable growth from the 14 entries in 2012.

2014 saw a peak with 4994 works in this category, followed by a fluctuating pattern in subsequent years.

10,001-50,000 Words:

2023 recorded 1,031, a slight increase from 1,010 in 2022.

2015 led the chart with the most works in this range.

50,001-100,000 Words:

The count in 2023 showcased the highest number in this category, with 293 works.

2016 and 2021 were equal second, with 219 works in this category.

100,001-300,000 Words:

2023 had the most works in this segment, followed by 2022 and 2021.

Prior to this, the peak was in 2017.

300,001 Words and above:

The numbers in this range are comparatively limited, with 2023 having the most works surpassing 300,000 words.

Most years witnessed very few works in this extensive word count bracket, with numbers often remaining in single or low double digits.

I was also interested to find where most work stopped being completed. This is the percentage of completed works in each range.

Limitations of the Analysis:

AO3 Filtering System Limitations: The AO3 filtering system does not readily display the initial posting date of a fic. A fic could have been started several years prior to its completion but only shows up in the filtering system in the year it was last updated. This poses a significant limitation as the actual duration taken for the completion of a work might not be accurately represented.

Human Fallacy: There's always a potential for human error in manual data collection and analysis. Overlooked details, misinterpretations, or unintended biases can inadvertently influence the results.

Deletion and Date Modification of Works: Authors may delete their works or modify posting dates. This becomes significant for older works with a higher likelihood of deletions or date changes. Such actions can skew the numbers, offering a misrepresented view of the works available during a particular year.

Variability in Word Count Reporting: While categorising based on word count is useful, it's possible that authors might update or expand their works after the initial posting, leading to changes in word count categories over time.

Conclusion:

The data spanning from 2011 to 2023 shows that over the 13-year period, there has been a marked increase in both completed and uncompleted works, with the total number of works increasing more than 250-fold from 16 in 2011 to 4018 in 2023.

From 2011 to 2015, there was a notable surge in the number of completed works, culminating in 2014 with a total of 6307 works. This could potentially reflect an increased growing interest or a pivotal shift in the community or broader fandom dynamics during this period.

From 2016 to 2019, a noticeable decrease in the total works emerged, with 2019 seeing the steepest drop. This decline aligns with the onset of One Direction's hiatus. While causation cannot be conclusively established, it does provide a reasonable explanation.

Beginning in 2020, a revitalisation is evident, with figures steadily climbing and nearing their zenith by 2023. While this remains speculative, anecdotal accounts suggest that the pandemic, affording individuals more leisure for social media coupled with the growing popularity of TikTok, may have reignited interest in the fandom, steering them towards both reading and potentially writing fanfiction.

In summary, the AO3 community showcases dynamic growth, decline, and resurgence patterns over the examined period. While completed works have seen fluctuating trends, the spirit of initiation remains unwavering, as observed by the consistent number of uncompleted works.

Length of works

In 2011, the publication of longer stories (10,000 words and above) was almost non-existent. The numbers began to rise steadily, with a significant jump in longer stories from 2015 to 2017.

The number of stories with a word count between 10,000-14,999 went from 2 in 2011 to a peak of 458 in 2014. Similarly, the 15,000-19,999 range saw an increase from 0 stories in 2011 to its peak at 253 in 2015. As we progress through the word count brackets, there's a discernible growth trend, albeit with some fluctuations. For instance, the 80,000-89,999 bracket jumped from 0 stories in 2011 to a peak of 48 stories in 2023.

While there have been fluctuations in the numbers for some years, the overall trend does show growth in the publication of longer stories over the past decade.

The data shows that extremely long stories (those above 200,000 words) have always been a rarity. However, there's still a perceptible trend.

The 200,000-249,999 word count range sees the most action, with a peak of 27 stories in 2023. This is growth from the previous years 17, and then to 14, and so on. The numbers decrease as we progress to the right into the higher word counts, but occasional stories reach these impressive lengths.

The 250,000-299,999 word count range has peaked at 6, with numbers generally dropping with previous years. Higher word count ranges, such as 300,000-349,999 and 350,000-399,999, are sparser but maintain a presence.

Word counts of 450,000 and beyond are sparse, with very few recent entries.

In conclusion, while very lengthy stories remain uncommon, they exist and have seen publication in varying numbers. There's a trend towards fewer stories as the word count increases, which is expected given the monumental length of these works.

Upon examination of the data, there's a pronounced resurgence in the publication of longer narratives, particularly following a noticeable decline post-2016. The trajectory of this resurgence hints at an evolving literary landscape, with authors and perhaps readers veering towards more extensive works. Although the factors underpinning this shift remain speculative, the upward trend, especially in the realm of extended narratives, cannot be dismissed.

Monitoring developments in this sphere to ascertain whether this resurgence signifies a phase or a deeper, more sustained transformation in literary predilections will be interesting.

[39oa]

(nonsensical hrpf data exercise) degree centrality graphing & other archive insights

intro/prior work

hello 🙇‍♀️ i'm not sure this post will make any kind of sense at all, but i love analyzing ao3 data and i especially find it fascinating in the realm of sports/hrpf because of the amount of player- and team-related attributes that offer dimensionality to fandom analysis when examined in parallel with archive metrics. i've already kind of done hrpf overviews on two separate occasions over the past year or so, but my method of collection differed in each instance and also always gave me new things to chew on and potentially explore, such as expanding on the link between player talent and shippability and whether high-draft picks have more fic written for them on average.

i most recently examined player data based on aggregated relationship counts since 2022, but this was a limited snapshot meant to piece together recent ficdom trends (see top ships since 01/01/22) and not be representative of fandom overall. basically, things i want to visualize/talk about now are:

hockey is so widespread as a sports fandom because there are 32 teams in the league, which when compared to a community like f1 makes it difficult to succinctly summarize primary relationships for. there is no self-contained grid of 20 drivers that remains generally fixed within a season, where every move in/out of that "roster" is highly reported upon and instrumental to fandom makeup, but instead a more amorphous network of malleable rosters featuring high-variance cascading orders of character visibility; in short, the difference between the most and least popular driver in f1 fandom is not the same as the difference between sidney crosby and that one ahl lifer who was called up to your 4th line two months ago because your team is utterly decimated and gunning for bedard.

Still: because rosters are so malleable and trades happen with some amount of frequency, and because hockey is still an "insular" ecosystem in terms of geographic accessibility and junior-age development (for better or worse; mostly for worse, but that's neither here nor there), players intrinsically have a low degree of separation between one another, whether it be as teammates now or as friends growing up in the ohl, ntdp, etc. i therefore wanted to take that a step further and look at it through fic metrics especially: can we use a summary of ficdom's real, tangible output and visualize it through a similar network? (+ where and how does that network differ from player connections in practice?)

back to the impact of draft pick # and assessments of talent relative to popularity, i also wanted to look at the most "successful" ships in ficdom from this network and evaluate the different distributions and impacts of their respective attributes. are certain player positions more popular? which nationalities are the most commonly shipped?

etc. But let's just get into it.

process

getting any kind of information from a 60%-locked fandom on ao3 is a nightmare and introduces a myriad of data-collecting limitations, so i do feel it important to disclaim that what i present in this post functions more in the realm of Approximate Interpretation and Potential Correlation than any actual 100% objective representation of fandom metrics.

a perceived limitation i have with character tagging metrics on ao3 is that they don't exactly reflect shippability; that is, if q.hughes is tagged as a character in a n.hischier/j.hughes fic, it gets attributed to his character tag but doesn't actually say anything about how many Relationship Fics exist for him on a whole. my best solution for this was essentially uncovering most of a player's relationships and summing their individual fic counts to create an approximate # of "relationship fics" for each player. so any kind of shippability graph going forward will use that metric.

i used ao3's relationship tag search and filtered by canonical in the men's hockey rpf fandom and only pulled relationship* fics ("/" instead of "&") with a min. of 20 works. ao3's counts are... Not the most accurate, so my filtering may have fudged some things around or missed a few pairings on the cusp, which again is why all the visuals here are not meant to show Everything in the most exact manner but function more so as a "general overview" of ficdom. although i did doublecheck the ship counts so the numbers themselves are accurate as of time of collection.

(*i excluded wag ships, reader ships, threesomes to make my life easier although i know this affects numbers for certain players, hc/gm ships, and any otherwise non-NHL Player ship. for ex., this eliminated anna kasterova/evgeni malkin, tyler brown/tyler seguin, and kyle dubas/william nylander, just to name a few)

all ship data was collected march 16, 2023.

PART 1. SC87 ship networking

when i first began this exercise i tried graphing ships for all the first-overall picks from 2003-2022 because i wanted to get an overarching sense of their connections. however, doing so made me realize that sidney crosby was by and far the most-connected node in the graph (and basically all hrpf in general) with a degree of 11, and that he was centering one huge component to which only two ships failed to connect (op/kj and slaf/xhekaj). basically:

so then i was like, right! let me instead use sidney crosby as my sole starting node, map out all ships with 20+ works from him specifically, take the players he connects to and map out their corresponding ships (excluding sid) and just keep iterating until i basically reach a final child node. through this, i yielded 112 ships and 98 unique players, with my final connecting node coming 9 degrees of separation away through brady tkachuk ↔ tim stützle/quinn hughes. unfortunately i can't actually host this little code snippet anywhere lol but i also wrote an input to check the pathways between any two players which was kind of fun:

here is the actual network graph with colors from automatically generated clustering, which doesn't really mean much but i thought was one nice way of presenting it. the edge width refers to the sum of fics for each ship and the node size refers to the degree, or number of ships, for each player.

i then also joined my player set with a dataset that included draft year, drafted team, position, etc... and through that color-coded the graph with the team each player was originally drafted to (i always struggle between using current team and draft team because which one matters more is super contextual, but... using draft team made my life easier this time so i hope it's still interesting.) here i only included colors for 13 teams that had 3+ players each:

→ [full-size graph]

we can do a bit more analysis based on this specific sidcros network, like which players are the "most-shipped" or overviewing cross-team shipping tendencies:

but! of course, not ALL big hrpf ships lead back to sc87. using him as a central node essentially just helped me filter out excess "noise" when searching for relationship tags on ao3, because now i could exclude anyone connected to him at all (note: the relationship fics from my set equaled upward of 19,000 works, accounting for 60.4% of the entire men's hockey rpf archive) and hit other significant tags more efficiently.

through this method, i singled out a new set of 76 ships and 134 unique players (notice the significant decrease in overlap), which i then combined with my sid ships to create one massive set of Hockey Ships With Over 20+ Works On Ao3 that i could analyze holistically. no idea if this makes any sense but bear with me:

PART 2. general ship insights

i won't bore people with endlessly listing out ship rankings but here's the previous top chart with the new ships slotted in:

now for some overall player analysis!

first i wanted to look at how attributes like draft round, nationality, and position (F/D/G) are represented in the player set.

the nationality distribution is pretty close to all active nhl players this season, so there aren't major disparities there. however, the vast majority of players 1) were drafted in the first round and 2) are mostly forwards, with the forwards also seemingly reflecting the general philosophy of faster development/higher recent-round representation. we can take this overview a step further and actually examine the fic averages for each characteristic as a proxy for measuring shippability/ficdom popularity.

first, i scatterplotted all players by their draft pick and number of fic to (try and) show the heavy skew toward top picks (inspired by the gar draft pick value curve and other similar plots). this is... well, limited in many ways, and if i had an actually adequately large dataset i could specifically plot averages per distinct pick number and try to present something there, but the problem is that a lot of these later pick numbers only have like one player so there's way too much variance LOL.

but just for the sake of this exercise i excluded j.benn as an outlier and grouped fic averages by round (left below). again, noting the sample sizes, let's just say that first rounders on average seem to have the most fic written about them, even if it's not a particularly shocking insight. we can also try creating a histogram for "shippability" by draft year, binning here for every 2 years, to see which draft years appear to have had the most success (right below). note the peaks around 2005 and 2015, aka the sc87 and cm97 ~Generational Years~ 🤔

i've also been interested in figuring out which positions are commonly preferred—since centers are so often the faces of a franchise and are essentially the most sought-after position, and since goalies occupy a positionally static role/are less oriented toward contact (and the presumed homoeroticness thereof) in the way skaters are, is that reflected in the fic metrics as well? turns out: yes.

some ship analysis

learning more about player data in a vacuum is fun, but we also have all of this relationship data that lets us examine how different characteristics interact with each other, which is meaningful as well! for example, we know that forwards are heavily represented in the dataset, but is center4center the most common combination? or is there love for a franchise center and his beloved winger or the team's dependable 1d?

(fought for my life trying to figure out how to map this properly so please accept a horrible bar chart instead) as it turns out, the most common combination is centers/wingers, followed afterward by centers/centers. i don't know whether this really means much to me because i'd like to dissect the combos even further (is C/C more often 1C 2C or cross-team rivalry 1C shipping? are C/W usually linemates? etc.) but 🤷‍♀️ here's a graph.

i also distributed ships by their nationality combination, displaying to the surprise of no one a heavy preference (a whopping 66.4%!) for north american-exclusive shipping. i also thought stacking by "draft year" (= averaging the draft year between both players for each ship) offered some interesting insight into usa4usa shipping having slightly younger representation. also i do think usa/germany being singlehandedly driven up this chart by one family is remarkable and hilarious LOL.

also in the realm of draft year analysis, i wanted to look at draft year differences and whether fandom preferences seem to lie by way of same-age-ish pairings and In-Class Bicycling so to speak. graphing ships by these differences spanned a range of 20 years, with the oldest "age" (draft) difference being 20 years between zdeno chara and charlie mcavoy. overall, of 175 ships with a drafted player, 60.5% were drafted within 2 years of each other (18.2% in the same draft), and only 5% had a draft difference of 10 or more years.

then, of those 32 ships drafted within the same year, i distributed their counts by year to see which draft classes featured the biggest in-class clusters, leading us again to the Famed Class of 2015:

closing thoughts

i'll stop here :saluting_face: something else i had on the agenda that i don't really know how to adequately explore with this dataset is basically stanley cup champion stuff, e.g. looking at players and ships and fic counts from winning teams and how/whether a sort of "winning bias" has been trending down as of late (see the relative success of ships from teams like phi/ana compared to tbl/stl)—temporal data is so particular and difficult to wrangle with ao3 though so i'll have to let this one percolate a little bit.

finally, another thing (!) that i love examining is captaincy and how it often helps inform shippability; C/A/guyswithletters shipping obviously generously overlaps with being drafted early, high-impact players, some positional stuff like Young Star Center having the role foisted onto him, etc. and many of these aspects are immediately identifiable in top ships like 8771, 1634, 1386... just to name a few obvious ones. unfortch i don't really have the time or space to look at that here but it's something i'm still interested in maybe expanding on, and i also never ended up collecting actual skater *performance* data which would be super fun to eventually get to, e.g. mapping ficdom output to not just background identifiers like draft year/pick but also 1) actual tangible evaluations of player goals/points/(salary?!?)/etc. and 2) some dimension of draft outperformance/underperformance, which is pertinent for scenarios like late-round picks who have defied career expectations (see outlier jbenn having a shit ton of lifetime fic) AND early-round picks whose trajectories have not panned out as expected for whatever reason; often the ~tragic~ frustration of being a bust actually invites more narrative focus and scrutiny, but at the same time ficdom trends have pointed themselves to being attracted to many historic, talented, generational, and so on players, who more often than not are also winners, which potentially posits a need for some sustained line of access/visibility to high-expectation players significantly before they're regarded as "busts" in order to organically grow and generate initial interest that can survive the renewed reality of their situation. but who knows

again, i don't know whether any of this even makes sense or is interesting to literally anyone at all, but i personally enjoyed just dicking around graphing shit and getting to join a ton of tables together for absolutely no reason lol. that's all!