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American Focus > Blog > Environment > Coal miners are fighting Trump’s safety cuts — and winning
Environment

Coal miners are fighting Trump’s safety cuts — and winning

Last updated: June 11, 2025 1:41 am
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Coal miners are fighting Trump’s safety cuts — and winning
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The Trump administration faced swift backlash when it announced plans to shut down two major programs aimed at protecting the nation’s miners. Grassroots organizations, including the United Mine Workers of America, the Black Lung Association, and environmental groups like Appalachian Voices, protested the cuts and demanded a change in course.

The administration initially moved to close over 30 field offices of the Mine Safety and Health Administration (MSHA) and proposed cutting 90 percent of the staff at the National Institute for Occupational Health (NIOSH). These cuts would have severely impacted efforts to screen miners for black lung, a progressive and fatal disease caused by exposure to silica dust.

Miners took action by filing lawsuits against the administration, arguing that the government was failing to protect those who work in the coal industry. In response to the outcry, the administration quietly removed MSHA offices from the closure list and reinstated hundreds of occupational health workers, including those in the Coal Worker Health Surveillance Program.

Bipartisan support for miner safety was evident, with Virginia Democratic senators Tim Warner and Tim Kaine, along with West Virginia Republican Shelly Moore Capito, advocating for the protection of miners. Capito expressed concerns about the impact of eliminating NIOSH on her state and the costly decommissioning of specialized research labs.

The United Mine Workers of America praised Capito for her role in reversing the field office closures. Democrats like Representative Bobby Scott also pushed for more resources for MSHA, highlighting the importance of hiring qualified mine inspectors to ensure safety in dangerous jobs.

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While some progress has been made, concerns remain about the fate of the silica rule and ongoing staffing shortages at NIOSH. The president’s proposed federal budget includes cuts to the Mine Safety Health Administration, raising further concerns about the agency’s ability to protect miners.

Miners and advocates continue to push for answers and guarantees that the government will prioritize worker safety. The focus remains on reinstating federal workers, ensuring field offices remain open, and securing ongoing support for critical safety work.

Overall, the grassroots response to the administration’s initial cuts has been successful in prompting a reevaluation of policies that impact the safety and health of miners across the country. The ongoing efforts of miners, advocacy groups, and lawmakers are essential in ensuring that protections for miners remain a top priority. The world of technology is constantly evolving, with new advancements and innovations being introduced at a rapid pace. One of the most exciting developments in recent years is the rise of artificial intelligence (AI). AI has the potential to revolutionize many industries, from healthcare to finance to transportation. But what exactly is AI, and how does it work?

At its core, AI is a branch of computer science that aims to create machines that can perform tasks that typically require human intelligence. This can include things like visual perception, speech recognition, decision-making, and language translation. AI systems are designed to learn from data, recognize patterns, and make decisions based on that information.

There are two main types of AI: narrow AI and general AI. Narrow AI, also known as weak AI, is designed to perform a specific task, such as playing chess or driving a car. General AI, on the other hand, is the goal of creating machines that can perform any intellectual task that a human can do. While we are not quite there yet, researchers are making significant progress in developing more advanced AI systems.

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One of the key components of AI is machine learning, which is a subset of AI that focuses on building systems that can learn from data. Machine learning algorithms allow AI systems to improve their performance over time by analyzing large amounts of data and adjusting their parameters accordingly. This process is known as training, and it is essential for creating AI systems that can perform complex tasks.

Another important concept in AI is neural networks, which are computational models inspired by the human brain. Neural networks are made up of interconnected nodes, or neurons, that process and analyze information. By simulating the way the brain works, neural networks can learn to recognize patterns and make decisions in a similar way to humans.

AI has already had a significant impact on many industries, with applications ranging from virtual assistants like Siri and Alexa to self-driving cars and medical diagnostics. In healthcare, AI is being used to analyze medical images, predict patient outcomes, and develop personalized treatment plans. In finance, AI is being used to detect fraud, optimize trading strategies, and improve customer service.

As AI continues to advance, it is important to consider the ethical implications of this technology. Issues such as bias in AI algorithms, data privacy, and job displacement are all important considerations as we integrate AI into our daily lives. However, with the right regulations and safeguards in place, AI has the potential to improve our lives in countless ways.

In conclusion, artificial intelligence is a powerful technology that has the potential to transform the way we live and work. By harnessing the power of AI, we can solve complex problems, improve efficiency, and create new opportunities for innovation. As researchers continue to push the boundaries of AI, we can expect to see even more exciting developments in the years to come.

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