The post Gymnast MyKayla Skinner Calls For A Transgender Ban — Why Her Message Is Misguided appeared on BitcoinEthereumNews.com. -TOKYO,JAPAN July 24, 2021: USAs Mykayla Skinner competes on the beam in the womens team qualifying at the 2020 Tokyo Olympics. (Wally Skalij /Los Angeles Times via Getty Images) Los Angeles Times via Getty Images Former U.S. gymnast and Olympic silver medalist MyKayla Skinner has rejoined the global conversation surrounding transgender athlete participation in sports. In a Dec. 2 interview with The Daily Wire, an American conservative media outlet founded by Ben Shapiro, Skinner called for the International Olympic Committee (IOC) to formally ban transgender participants. “It shouldn’t even be an issue. I couldn’t imagine having to compete against a male and getting medals stripped,” Skinner told Daily Wire reporter Lynden Blake. “Especially having a daughter, she’s gonna be raised in this next generation, and I want her to have an even playing field like I had. Like we all had on the (2020) Olympic team.” Skinner first joined the hotbed conversation in June 2025, reacting to the online feud between anti-trans conservative activist Riley Gaines and seven-time Olympic gold medalist Simone Biles. When Skinner witnessed Biles’ interaction with Gaines last June, she was “heartbroken” and felt compelled to speak out in support of the conservative activist. “When that happened, I thought: ‘You know what? It’s time for me to stand up and support Riley,’” Skinner said. Since the June 2025 spar with Biles, Skinner has aligned her public interests with anti-trans advocacy. In October, she partnered with XX-XY Athletics, an athletic apparel brand founded by former U.S. elite gymnast Jennifer Sey. The company prides itself on being “the only brand standing up for female athletes and the protection of women’s sports.” Skinner’s demand for “even playing field” is rooted in the widespread anxiety among female athletes about unfair competition. Brands are “selling out women for wokeness,” the company claims.… The post Gymnast MyKayla Skinner Calls For A Transgender Ban — Why Her Message Is Misguided appeared on BitcoinEthereumNews.com. -TOKYO,JAPAN July 24, 2021: USAs Mykayla Skinner competes on the beam in the womens team qualifying at the 2020 Tokyo Olympics. (Wally Skalij /Los Angeles Times via Getty Images) Los Angeles Times via Getty Images Former U.S. gymnast and Olympic silver medalist MyKayla Skinner has rejoined the global conversation surrounding transgender athlete participation in sports. In a Dec. 2 interview with The Daily Wire, an American conservative media outlet founded by Ben Shapiro, Skinner called for the International Olympic Committee (IOC) to formally ban transgender participants. “It shouldn’t even be an issue. I couldn’t imagine having to compete against a male and getting medals stripped,” Skinner told Daily Wire reporter Lynden Blake. “Especially having a daughter, she’s gonna be raised in this next generation, and I want her to have an even playing field like I had. Like we all had on the (2020) Olympic team.” Skinner first joined the hotbed conversation in June 2025, reacting to the online feud between anti-trans conservative activist Riley Gaines and seven-time Olympic gold medalist Simone Biles. When Skinner witnessed Biles’ interaction with Gaines last June, she was “heartbroken” and felt compelled to speak out in support of the conservative activist. “When that happened, I thought: ‘You know what? It’s time for me to stand up and support Riley,’” Skinner said. Since the June 2025 spar with Biles, Skinner has aligned her public interests with anti-trans advocacy. In October, she partnered with XX-XY Athletics, an athletic apparel brand founded by former U.S. elite gymnast Jennifer Sey. The company prides itself on being “the only brand standing up for female athletes and the protection of women’s sports.” Skinner’s demand for “even playing field” is rooted in the widespread anxiety among female athletes about unfair competition. Brands are “selling out women for wokeness,” the company claims.…

Gymnast MyKayla Skinner Calls For A Transgender Ban — Why Her Message Is Misguided

2025/12/09 09:03

-TOKYO,JAPAN July 24, 2021: USAs Mykayla Skinner competes on the beam in the womens team qualifying at the 2020 Tokyo Olympics. (Wally Skalij /Los Angeles Times via Getty Images)

Los Angeles Times via Getty Images

Former U.S. gymnast and Olympic silver medalist MyKayla Skinner has rejoined the global conversation surrounding transgender athlete participation in sports.

In a Dec. 2 interview with The Daily Wire, an American conservative media outlet founded by Ben Shapiro, Skinner called for the International Olympic Committee (IOC) to formally ban transgender participants.

“It shouldn’t even be an issue. I couldn’t imagine having to compete against a male and getting medals stripped,” Skinner told Daily Wire reporter Lynden Blake. “Especially having a daughter, she’s gonna be raised in this next generation, and I want her to have an even playing field like I had. Like we all had on the (2020) Olympic team.”

Skinner first joined the hotbed conversation in June 2025, reacting to the online feud between anti-trans conservative activist Riley Gaines and seven-time Olympic gold medalist Simone Biles. When Skinner witnessed Biles’ interaction with Gaines last June, she was “heartbroken” and felt compelled to speak out in support of the conservative activist.

“When that happened, I thought: ‘You know what? It’s time for me to stand up and support Riley,’” Skinner said.

Since the June 2025 spar with Biles, Skinner has aligned her public interests with anti-trans advocacy. In October, she partnered with XX-XY Athletics, an athletic apparel brand founded by former U.S. elite gymnast Jennifer Sey.

The company prides itself on being “the only brand standing up for female athletes and the protection of women’s sports.” Skinner’s demand for “even playing field” is rooted in the widespread anxiety among female athletes about unfair competition.

Brands are “selling out women for wokeness,” the company claims.

Though the former gymnasts continue to campaign for the sexual segregation of transgender athletes, their comments on their own sport, gymnastics, are ironic.

Skinner discussed the gendered reality in an opinion piece with Fox News. “In Olympic gymnastics, women do not compete on the rings. Why? Because men are stronger than women, and events are designed around physiological realities. It’s that simple.”

It’s actually not that simple.

The fact is: artistic gymnastics is a heavily gendered sport and exceptionally inaccessible to transgender athletes as a result. Many researchers accordingly label the sport of gymnastics as “sex segregated.” Why? Men’s and women’s gymnastics – despite their shared ‘gymnastic’ umbrella – are fundamentally different sports.

Experts argue the distinction began with aesthetics, not “physiological realities.”

Women’s Gymnastics Events As ‘Pedestals’

As in most Olympic disciplines, only men were permitted to compete in gymnastics at an Olympic game. Making its debut as an Olympic sport held 1896, gymnastics has evolved dramatically over the last century.

The IOC would not officially add floor exercise until 1930 and vault in 1934. Bizarrely, the all-around title used to include track and field events, swimming, weightlifting, and potentially rope climbing (FIG).

Women first entered the equation at the 1928 Olympics, competing on an event reminiscent to today’s floor exercise. The 1934 World Championships marked the first participation of both genders as a world event.

“Despite men and women having trained the same things side by side…segregation of sexes on the events was there from the beginning,” the FIG shares.

Dr. Georgia Cervin, a former New Zealand national team member and researcher, reports that women trained on the same events as men. “As late as the interwar era, women practiced Parallel Bars, Rings, Horizontal Bar and Pommel Horse.”

However, the sport’s governing bodies acted to separate the genders due to “stereotypes,” Cervin added. While the men’s events served to showcase the stereotypically male traits: strength and power, women’s gymnastics events would serve as pedestals: vessels for women to be observed by spectators.

(GERMANY OUT) Die tschechische Kunstturnerin Vera Caslavska während ihrer Kür auf dem Schwebebalken. . (Photo by Alert/ullstein bild via Getty Images)

ullstein bild via Getty Images

Picture this: a 16 foot-long suspended plank, hoisted four feet above the ground, under a spotlight and on display for a crowd of thousands (I’m describing the women’s balance beam). “Secondary sources suggest that both of these apparatuses promoted a style of movement where women ‘’posed’ on the apparatus, to be observed in their grace and beauty,” Cervin said.

The imposed adaptations in women’s events reinforced stereotypes of women as “weaker” and “smaller” while simultaneously avoiding “any invitation of direct comparison between the performances of men and women.”

Just like that, women’s gymnastics was born. Though its origins were steeped in heavily stereotypical undertones, Cervin argues that these foundations inadvertently helped the sport gain legitimacy faster than competing women’s sports.

“The IOC accepted Women’s Artistic Gymnastics because it was one of the few sports considered appropriate for women,” Cervin said.

“This was because it emphasized feminine traits like passivity, grace and beauty. The FIG thus promoted apparatuses and performances that demonstrated the feminine character of the sport.”

As a result, two different sports of gymnastics came to fruition. Due to their foundations, men’s and women’s gymnastics became inherently different “For better or worse, women were classed apart, and their apparatus destined to be different than men,” the International Gymnastics Federation states.

These categorical differences led to logical differing physiological requirements for each sport – after all, serving a volleyball requires a different skillset than competing a tumbling pass. The International Society of Biomechanics in Sports (ISBS) has long documented the fundamental physiological split that makes MAG and WAG two distinct disciplines.

For example, research led by Jürgen Krug of the Universität Leipzig found that, on the high bar apparatus, men endure forces of up to 6-7 times their body weight, compared to 4-5 times body weight for women (on the uneven bars).

Further, transgender athlete participation in gymnastics has not affected the sport on an Olympic or elite level throughout its storied history. Why? Most men’s and women’s gymnastics events are categorically different. Essentially, an athlete transitioning to compete in the gendered counterpart would have to learn a new sport.

Two Sports, One Label

Today, Men’s Artistic gymnasts (MAG) compete on six events, while women’s artistic gymnasts (WAG) compete on four. Though both categories include vault and floor exercise, the two disciplines are fundamentally different in their composition.

MAG: Vault, Parallel Bars, High Bar, Pommel Horse, Still Rings, Floor Exercise

WAG: Vault, Uneven Bars, Balance Beam, Floor Exercise

DeVeau’s School of Gymnastics, a U.S. training facility that has produced an Olympian and numerous elite athletes, describes the gymnastics events on their gym website. Though both men and women compete on floor – take note of the differences:

  • Men’s Floor Exercise: “Athletes perform a routine that combines powerful tumbling passes with strength elements.”
  • Women’s Floor Exercise: “Women’s floor routines blend tumbling passes with dance and choreography, showcasing artistry and athleticism.”

Men’s gymnastic disciplines focus almost entirely on immense strength, power, and agility, while women’s events combine strength with balance, artistry, and showmanship. Concurrently, Texas A&M University School of Law describes the sport as a sport in which “individuals perform optional and prescribed acrobatic feats.”

The prescriptions are often very different for the male and female categories.

Philippines’ Carlos Edriel Yulo competes in the artistic gymnastics men’s vault final during the Paris 2024 Olympic Games at the Bercy Arena in Paris, on August 4, 2024. (Photo by Lionel BONAVENTURE / AFP) (Photo by LIONEL BONAVENTURE/AFP via Getty Images)

AFP via Getty Images

Recent political moves by the Trump Administration also prohibit transgender participation at the highest levels. On July 21, 2025, the USOPC altered its “athlete safety policy,” effectively banning transgender athletes from women’s sports.

The USOPC’s move to change the policy was an effort to “ensure that women have a fair and safe competition environment consistent” with President Trump’s executive order from earlier that year. The USOPC then sent a letter to national governing bodies – including USA Gymnastics – notifying them of the need to change their policies “to comply with federal expectations.”

Thus, because of gymnastics’ highly gendered foundations and USA Gymnastics’ adherence to USOPC guidelines, transgender athlete participation at the elite level is incredibly rare. Despite Skinner and Sey’s many concerns for their sport, their fears pertaining to the sport of gymnastics are largely misguided.

NAIGC As A Safe Haven

Conversely, transgender athletes compete freely at the club level in the National Association of Intercollegiate Gymnastics Clubs (NAIGC). The organizational motto, “For the Love of the Sport,” highlights the commitment to “expanding opportunities for adult gymnastics and pushing the boundaries of the sport.”

The NAIGC is open to gymnasts of age 17 and above (there’s no age limit), and “any single competitor, regardless of gender identity, is able to compete on a selection of apparatus from among those disciplines.” Associated Press reporter Will Graves highlighted the NAIGC and its diverse competitors in a feature in early 2025.

“(We want) people to be able to continue doing gymnastics into adulthood in a way that feels comfortable and safe and supportive for them,” the NAIGC’s director of operations told Graves. At the core of athletic participation – for any and all athletes – is the love of their sport. For the NAIGC’s athletes, this reality is the bottom line. It’s not about winning or defeating their competitors.

As for Skinner and Sey’s concerns, NAIGC athletes think the reaction is overblown. After all, “we deserve to be in the sports that we love.”

“Certain people want to convince people that this is a big issue and people are losing their (minds),” a 49-year-old NAIGC athlete said. “But it’s not like that. Other groups can be uptight about that if they want. But in this group, it’s about the love of the sport.

“If you love the sport, then do the sport and have fun, no matter who you are.”

Source: https://www.forbes.com/sites/carolineprice/2025/12/08/gymnast-mykayla-skinner-calls-for-a-transgender-ban—why-her-message-is-misguided/

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Summarize Any Stock’s Earnings Call in Seconds Using FMP API

Summarize Any Stock’s Earnings Call in Seconds Using FMP API

Turn lengthy earnings call transcripts into one-page insights using the Financial Modeling Prep APIPhoto by Bich Tran Earnings calls are packed with insights. They tell you how a company performed, what management expects in the future, and what analysts are worried about. The challenge is that these transcripts often stretch across dozens of pages, making it tough to separate the key takeaways from the noise. With the right tools, you don’t need to spend hours reading every line. By combining the Financial Modeling Prep (FMP) API with Groq’s lightning-fast LLMs, you can transform any earnings call into a concise summary in seconds. The FMP API provides reliable access to complete transcripts, while Groq handles the heavy lifting of distilling them into clear, actionable highlights. In this article, we’ll build a Python workflow that brings these two together. You’ll see how to fetch transcripts for any stock, prepare the text, and instantly generate a one-page summary. Whether you’re tracking Apple, NVIDIA, or your favorite growth stock, the process works the same — fast, accurate, and ready whenever you are. Fetching Earnings Transcripts with FMP API The first step is to pull the raw transcript data. FMP makes this simple with dedicated endpoints for earnings calls. If you want the latest transcripts across the market, you can use the stable endpoint /stable/earning-call-transcript-latest. For a specific stock, the v3 endpoint lets you request transcripts by symbol, quarter, and year using the pattern: https://financialmodelingprep.com/api/v3/earning_call_transcript/{symbol}?quarter={q}&year={y}&apikey=YOUR_API_KEY here’s how you can fetch NVIDIA’s transcript for a given quarter: import requestsAPI_KEY = "your_api_key"symbol = "NVDA"quarter = 2year = 2024url = f"https://financialmodelingprep.com/api/v3/earning_call_transcript/{symbol}?quarter={quarter}&year={year}&apikey={API_KEY}"response = requests.get(url)data = response.json()# Inspect the keysprint(data.keys())# Access transcript contentif "content" in data[0]: transcript_text = data[0]["content"] print(transcript_text[:500]) # preview first 500 characters The response typically includes details like the company symbol, quarter, year, and the full transcript text. If you aren’t sure which quarter to query, the “latest transcripts” endpoint is the quickest way to always stay up to date. Cleaning and Preparing Transcript Data Raw transcripts from the API often include long paragraphs, speaker tags, and formatting artifacts. Before sending them to an LLM, it helps to organize the text into a cleaner structure. Most transcripts follow a pattern: prepared remarks from executives first, followed by a Q&A session with analysts. Separating these sections gives better control when prompting the model. In Python, you can parse the transcript and strip out unnecessary characters. A simple way is to split by markers such as “Operator” or “Question-and-Answer.” Once separated, you can create two blocks — Prepared Remarks and Q&A — that will later be summarized independently. This ensures the model handles each section within context and avoids missing important details. Here’s a small example of how you might start preparing the data: import re# Example: using the transcript_text we fetched earliertext = transcript_text# Remove extra spaces and line breaksclean_text = re.sub(r'\s+', ' ', text).strip()# Split sections (this is a heuristic; real-world transcripts vary slightly)if "Question-and-Answer" in clean_text: prepared, qna = clean_text.split("Question-and-Answer", 1)else: prepared, qna = clean_text, ""print("Prepared Remarks Preview:\n", prepared[:500])print("\nQ&A Preview:\n", qna[:500]) With the transcript cleaned and divided, you’re ready to feed it into Groq’s LLM. Chunking may be necessary if the text is very long. A good approach is to break it into segments of a few thousand tokens, summarize each part, and then merge the summaries in a final pass. Summarizing with Groq LLM Now that the transcript is clean and split into Prepared Remarks and Q&A, we’ll use Groq to generate a crisp one-pager. The idea is simple: summarize each section separately (for focus and accuracy), then synthesize a final brief. Prompt design (concise and factual) Use a short, repeatable template that pushes for neutral, investor-ready language: You are an equity research analyst. Summarize the following earnings call sectionfor {symbol} ({quarter} {year}). Be factual and concise.Return:1) TL;DR (3–5 bullets)2) Results vs. guidance (what improved/worsened)3) Forward outlook (specific statements)4) Risks / watch-outs5) Q&A takeaways (if present)Text:<<<{section_text}>>> Python: calling Groq and getting a clean summary Groq provides an OpenAI-compatible API. Set your GROQ_API_KEY and pick a fast, high-quality model (e.g., a Llama-3.1 70B variant). We’ll write a helper to summarize any text block, then run it for both sections and merge. import osimport textwrapimport requestsGROQ_API_KEY = os.environ.get("GROQ_API_KEY") or "your_groq_api_key"GROQ_BASE_URL = "https://api.groq.com/openai/v1" # OpenAI-compatibleMODEL = "llama-3.1-70b" # choose your preferred Groq modeldef call_groq(prompt, temperature=0.2, max_tokens=1200): url = f"{GROQ_BASE_URL}/chat/completions" headers = { "Authorization": f"Bearer {GROQ_API_KEY}", "Content-Type": "application/json", } payload = { "model": MODEL, "messages": [ {"role": "system", "content": "You are a precise, neutral equity research analyst."}, {"role": "user", "content": prompt}, ], "temperature": temperature, "max_tokens": max_tokens, } r = requests.post(url, headers=headers, json=payload, timeout=60) r.raise_for_status() return r.json()["choices"][0]["message"]["content"].strip()def build_prompt(section_text, symbol, quarter, year): template = """ You are an equity research analyst. Summarize the following earnings call section for {symbol} ({quarter} {year}). Be factual and concise. Return: 1) TL;DR (3–5 bullets) 2) Results vs. guidance (what improved/worsened) 3) Forward outlook (specific statements) 4) Risks / watch-outs 5) Q&A takeaways (if present) Text: <<< {section_text} >>> """ return textwrap.dedent(template).format( symbol=symbol, quarter=quarter, year=year, section_text=section_text )def summarize_section(section_text, symbol="NVDA", quarter="Q2", year="2024"): if not section_text or section_text.strip() == "": return "(No content found for this section.)" prompt = build_prompt(section_text, symbol, quarter, year) return call_groq(prompt)# Example usage with the cleaned splits from Section 3prepared_summary = summarize_section(prepared, symbol="NVDA", quarter="Q2", year="2024")qna_summary = summarize_section(qna, symbol="NVDA", quarter="Q2", year="2024")final_one_pager = f"""# {symbol} Earnings One-Pager — {quarter} {year}## Prepared Remarks — Key Points{prepared_summary}## Q&A Highlights{qna_summary}""".strip()print(final_one_pager[:1200]) # preview Tips that keep quality high: Keep temperature low (≈0.2) for factual tone. If a section is extremely long, chunk at ~5–8k tokens, summarize each chunk with the same prompt, then ask the model to merge chunk summaries into one section summary before producing the final one-pager. If you also fetched headline numbers (EPS/revenue, guidance) earlier, prepend them to the prompt as brief context to help the model anchor on the right outcomes. Building the End-to-End Pipeline At this point, we have all the building blocks: the FMP API to fetch transcripts, a cleaning step to structure the data, and Groq LLM to generate concise summaries. The final step is to connect everything into a single workflow that can take any ticker and return a one-page earnings call summary. The flow looks like this: Input a stock ticker (for example, NVDA). Use FMP to fetch the latest transcript. Clean and split the text into Prepared Remarks and Q&A. Send each section to Groq for summarization. Merge the outputs into a neatly formatted earnings one-pager. Here’s how it comes together in Python: def summarize_earnings_call(symbol, quarter, year, api_key, groq_key): # Step 1: Fetch transcript from FMP url = f"https://financialmodelingprep.com/api/v3/earning_call_transcript/{symbol}?quarter={quarter}&year={year}&apikey={api_key}" resp = requests.get(url) resp.raise_for_status() data = resp.json() if not data or "content" not in data[0]: return f"No transcript found for {symbol} {quarter} {year}" text = data[0]["content"] # Step 2: Clean and split clean_text = re.sub(r'\s+', ' ', text).strip() if "Question-and-Answer" in clean_text: prepared, qna = clean_text.split("Question-and-Answer", 1) else: prepared, qna = clean_text, "" # Step 3: Summarize with Groq prepared_summary = summarize_section(prepared, symbol, quarter, year) qna_summary = summarize_section(qna, symbol, quarter, year) # Step 4: Merge into final one-pager return f"""# {symbol} Earnings One-Pager — {quarter} {year}## Prepared Remarks{prepared_summary}## Q&A Highlights{qna_summary}""".strip()# Example runprint(summarize_earnings_call("NVDA", 2, 2024, API_KEY, GROQ_API_KEY)) With this setup, generating a summary becomes as simple as calling one function with a ticker and date. You can run it inside a notebook, integrate it into a research workflow, or even schedule it to trigger after each new earnings release. Free Stock Market API and Financial Statements API... Conclusion Earnings calls no longer need to feel overwhelming. With the Financial Modeling Prep API, you can instantly access any company’s transcript, and with Groq LLM, you can turn that raw text into a sharp, actionable summary in seconds. This pipeline saves hours of reading and ensures you never miss the key results, guidance, or risks hidden in lengthy remarks. Whether you track tech giants like NVIDIA or smaller growth stocks, the process is the same — fast, reliable, and powered by the flexibility of FMP’s data. Summarize Any Stock’s Earnings Call in Seconds Using FMP API was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
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Medium2025/09/18 14:40