Falsus in uno, Falsus in omnibus

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Falsus in uno, Falsus in omnibus

May 13, 2025
mike@standardsmichigan.com

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To what degree does the endless and, frankly shameless, on-air fundraising by an organization with widely tolerated bias constitute de facto political fundraising for the Democratic Party? In Southeastern Michigan — in less than a 50 mile region — you can hear the same NPR “content” from six different universities: Ann Arbor, Ypsilanti, Toledo, Detroit, East Lansing, and Flint.

There has been some relatively recent legislative proposals to restore NPR to its original charter of cultural content (music, book reviews, agricultural information, etc.) but these proposals never moved beyond the relevant committee.



NPR CEO Katherine Maher was a no-show at the House Oversight Subcommittee Hearing

Related:

National Public Radio Inc | 2022 Tax Filing

National Public Radio | IRS 990 Return of Organization Exempt from Income Tax

American Public Media Group | 2022 Tax Filing

“Hotseat heats up for NPR CEO Katherine Maher — and her life is the ultimate woke-elite bingo card”

National Public Radio follows guidelines and best practices when conducting fundraising campaigns, but they’re not so much strict “rules” as they are principles and standards upheld by NPR and its member stations. Here are some common practices and considerations:

  1. Transparency: NPR and its member stations are typically transparent about their funding needs and where the money goes. They often provide detailed breakdowns of their budgets and expenses.
  2. Ethical Solicitation: Fundraising efforts should be conducted ethically and in accordance with NPR’s values. This means avoiding misleading tactics and being honest about the need for funding.
  3. Listener Support: NPR often emphasizes the importance of listener support in funding their programming. They encourage individuals to contribute at various levels, often with incentives like member benefits.
  4. Corporate Sponsorship: NPR also receives funding from corporate sponsors,but they are careful to maintain editorial independence.” Sponsored content is clearly labeled, and NPR maintains strict guidelines to ensure that sponsors do not influence editorial decisions.
  5. Member Stations: NPR member stations across the country conduct their own fundraising campaigns, often in conjunction with national NPR campaigns. These stations rely heavily on listener support and may have their own guidelines and practices.
  6. Regulatory Compliance: NPR and its member stations must comply with relevant laws and regulations governing fundraising, including those related to nonprofit organizations and broadcasting.
  7. Stewardship: NPR and its member stations typically prioritize stewardship of donor funds, ensuring that donations are used effectively and efficiently to support their mission and programming.

While there may not be hard and fast rules for NPR fundraising, adherence to these principles helps maintain trust with listeners and supporters.

Swarthmore College Pennsylvania

 

To become a National Public Radio (NPR) member station or broadcaster, certain criteria must be met. NPR is a mission-driven organization that partners with independently owned and operated public radio stations across the United States to deliver its programming. Here are the typical criteria for becoming an NPR member station:

  1. Nonprofit Status: NPR member stations must be nonprofit organizations, often affiliated with universities, community organizations, or governmental bodies.
  2. Broadcast License: Stations must hold a valid broadcast license issued by the Federal Communications Commission (FCC) in the United States. This license authorizes the station to broadcast on a specific frequency within a designated geographic area.
  3. Commitment to NPR’s Mission: Member stations are expected to share NPR’s mission of providing high-quality, non-commercial programming that serves the public interest. This includes delivering news, cultural content, and educational programming to their local communities.
  4. Financial Stability: Stations must demonstrate financial stability and viability to ensure they can fulfill their commitments to NPR and their local communities over the long term.
  5. Technical Requirements: Stations must meet certain technical requirements to ensure they can receive and broadcast NPR programming effectively. This includes having appropriate transmission equipment and meeting FCC regulations for broadcast quality and coverage.
  6. Membership Dues: Member stations are required to pay annual membership dues to NPR, which help support NPR’s operations and programming.
  7. Compliance with NPR Policies: Stations must adhere to NPR’s policies and guidelines regarding programming standards, ethics, and editorial independence.
  8. Community Engagement: NPR values stations that are actively engaged with their local communities, including through outreach, events, and partnerships with local organizations.
  9. Programming Commitment: Member stations are expected to broadcast a significant portion of NPR programming, including flagship shows like “Morning Edition” and “All Things Considered,” as well as other NPR-produced content.
  10. Commitment to Diversity, Equity, and Inclusion: NPR values diversity in its member stations and encourages stations to reflect the diversity of their communities in their programming and staffing.

Overall, becoming an NPR member station involves a combination of legal, financial, technical, and cultural considerations, all aimed at supporting NPR’s mission of providing high-quality public radio programming to audiences across the United States.

A significant portion of NPR member stations are associated with universities or colleges. These stations are often operated by the educational institution’s media departments or affiliated broadcasting organizations. They serve as valuable training grounds for students studying journalism, communications, broadcasting, and related fields.

While the exact number of NPR member stations associated with universities or colleges may vary over time, it’s safe to say that a substantial portion of the network falls into this category. Many universities and colleges across the United States operate their own radio stations, and a portion of these stations choose to affiliate with NPR to access its programming and resources.

Errors of omission, lost opportunities, are generally more critical than errors of commission. Organizations fail or decline more frequently because of what they did not do than because of what they did. - Russell L. Ackoff

Related:

Radio Transmission Power & Frequency Allocation

Pew Research Center: Public Broadcasting Fact Sheet

Urban Dictionary: Affluent White Female Liberal

NPR names Katherine Maher President and CEO

Tucker Carlson: Radicalized NPR on verge of destroying itself

Congresswoman Tenney Moves to Defund NPR

Outrageous bias in the media: NPR “National Public Radio “

 National Center for Charitable Statistics

H.R. 3410 Prohibit Federal funding of National Public Radio

“A half truth is a whole lie” — Yiddish proverb


National Public Radio (NPR) member stations are permitted to transmit from facilities supported by federally funded colleges or universities, as many are licensed as noncommercial educational (NCE) stations under the Federal Communications Commission (FCC). These stations, often operated by or affiliated with public colleges and universities, meet FCC requirements for NCE licenses, which allow them to broadcast educational and cultural programming without commercial advertisements.

Key Points:NCE Licensing: NPR member stations are typically licensed as NCE stations, which can be owned or operated by nonprofit entities, including public colleges and universities. These institutions often receive federal funding, and their facilities (e.g., campus buildings or transmission equipment) can be used for broadcasting.

Funding Structure: Stations affiliated with colleges or universities may receive funding from the institution, listener contributions, corporate underwriting, and federal grants via the Corporation for Public Broadcasting (CPB). Federal funding, while a small portion (e.g., ~10% of public radio revenue), is often channeled through CPB to support station operations.

Examples: Many NPR member stations, such as WBEZ (operated by Chicago Public Media but affiliated with educational institutions) or KUT (operated by the University of Texas), transmit from university-supported facilities. Approximately half of NPR’s member stations are affiliated with colleges, sometimes operating directly from campus facilities.
FCC Regulations: The FCC allows NCE stations to broadcast from such facilities as long as they adhere to noncommercial guidelines, prohibiting promotional advertisements for for-profit entities while permitting donor acknowledgments.

Impact of Federal Funding Cuts: Recent reductions in federal funding for public media, as reported in 2025, may strain these stations, particularly those reliant on university support, as budget-strapped institutions face additional financial pressures.

There are no explicit FCC restrictions preventing NPR stations from using federally funded college or university facilities, provided they comply with NCE regulations.

Kavárna u Rotlevů

May 12, 2025
mike@standardsmichigan.com
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“Bureaucracy is the death of any achievement”

– Franz Kafka

 

 

 

 

 

 

 

 

 

 

ISO: National Standards of the Czech Republic

UNMZ Czech Office for Standards, Metrology, and Testing 

Estate Technology Stack

May 12, 2025
mike@standardsmichigan.com
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Friday Morning Coffee

May 12, 2025
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Best Practice for Educational Institutions & Facilities

May 10, 2025
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Fruit Smoothie

May 9, 2025
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West Virginia University Financial Statement 2022 | $1.178M

The WVU Extension is a primary outreach division of West Virginia University. With offices in each of the state’s 55 counties, Extension faculty and staff develop and deliver programs in leadership development, rural and community-based economic development, youth development, workforce development, and health education.

Ingredients

3 cups frozen strawberries or other frozen fruit
1 banana
1 cup yogurt (plain or vanilla)
1 handful spinach or kale
2 cups of milk

Directions

Wash fresh produce.
Collect and measure all ingredients before starting recipe.
Add the fruit, yogurt and greens to the blender.
Pour the milk into the blender.
Blend 30 to 45 second until smooth.
Refrigerate leftovers within two hours, and finish within two days.

Nutrition information per serving (recipe makes six one-cup servings):
Calories — 120; fat — 2g; carbohydrates — 21g; fiber — 2g; protein — 5g

Geoffrey Hinton & Joel Hellermark

This conversation was recorded in April 2024 at the Royal Institute of Great Britain in London. An edited version was premiered at Sana AI Summit on May 15 2024 in Stockholm, Sweden.

Geoffrey Hinton has been called “the godfather of AI” and is considered one of the most prominent thought leaders on the emergence of artificial intelligence. He has served as a faculty member at Carnegie-Mellon and a fellow of the Canadian Institute for Advanced Research. He is now Emeritus Professor at the University of Toronto. In 2023, Geoffrey left his position at Google so that he could speak freely about AI’s impact on humankind.

National Economics Challenge

May 9, 2025
mike@standardsmichigan.com
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https://www.councilforeconed.org/programs/for-students/national-economic-challenge/

District 26

May 9, 2025
mike@standardsmichigan.com

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https://www.congress.gov/member/district/brandon-gill/G000603

Canadian Electrical Code

May 9, 2025
mike@standardsmichigan.com
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Use Case: Julia Programming Language for Artificial Intelligence

May 9, 2025
mike@standardsmichigan.com
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Julia is a programming language that has gained popularity in the field of artificial intelligence (AI) and scientific computing for several reasons.

High Performance: Julia is designed to be a high-performance language, often compared to languages like C and Fortran. It achieves this performance through just-in-time (JIT) compilation, allowing it to execute code at speeds close to statically compiled languages. This makes Julia well-suited for computationally intensive AI tasks such as numerical simulations and deep learning.

Ease of Use: Julia is designed with a clean and expressive syntax that is easy to read and write. It feels similar to other high-level languages like Python, making it accessible to developers with a background in Python or other scripting languages.

Multiple Dispatch: Julia’s multiple dispatch system allows functions to be specialized on the types of all their arguments, leading to more generic and efficient code. This feature is particularly useful when dealing with complex data types and polymorphic behavior, which is common in AI and scientific computing.

Rich Ecosystem: Julia has a growing ecosystem of packages and libraries for AI and scientific computing. Libraries like Flux.jl for deep learning, MLJ.jl for machine learning, and DifferentialEquations.jl for solving differential equations make it a powerful choice for AI researchers and practitioners.

Interoperability: Julia offers excellent interoperability with other languages, such as Python, C, and Fortran. This means you can leverage existing code written in these languages and seamlessly integrate it into your Julia AI projects.

Open Source: Julia is an open-source language, which means it is freely available and has an active community of developers and users. This makes it easy to find resources, documentation, and community support for your AI projects.

Parallel and Distributed Computing: Julia has built-in support for parallel and distributed computing, making it well-suited for tasks that require scaling across multiple cores or distributed computing clusters. This is beneficial for large-scale AI projects and simulations.

Interactive Development: Julia’s REPL (Read-Eval-Print Loop) and notebook support make it an excellent choice for interactive data analysis and experimentation, which are common in AI research and development.

While Julia has many advantages for AI applications, it’s important to note that its popularity and ecosystem continue to grow, so some specialized AI libraries or tools may still be more mature in other languages like Python. Therefore, the choice of programming language should also consider the specific requirements and constraints of your AI project, as well as the availability of libraries and expertise in your development team.

We present a use case below:

Université Sorbonne Paris Nord

A Julia Module for Polynomial Optimization with Complex Variables applied to Optimal Power Flow

 

Julie Sliwak – Lucas Létocart | Université Sorbonne Paris Nord

Manuel Ruiz | RTE R&D, Paris La Défense

Miguel F. Anjos | University of Edinburgh

 

ABSTRACT.  Many optimization problems in power transmission networks can be formulated as polynomial problems with complex variables. A polynomial optimization problem with complex variables consists in optimizing a real-valued polynomial whose variables and coefficients are complex numbers subject to some complex polynomial equality or inequality constraints. These problems are usually directly expressed with real variables. In this work, we propose a Julia module allowing the representation of polynomial problems in their original complex formulation. This module is applied to power system optimization and its generic design enables the description of several variants of power system problems. Results for the Optimal Power Flow in Alternating Current problem and for the Preventive-Security Constrained Optimal Power Flow problem are presented.

University of Edinburg

CLICK HERE to order complete paper


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