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HomeNewsFlawed Trials Used To Discredit Ivermectin’s Effectiveness Against COVID-19

Flawed Trials Used To Discredit Ivermectin’s Effectiveness Against COVID-19

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Ivermectin, a drug with proven antiviral and anti-inflammatory properties, has been at the center of a heated debate regarding its efficacy in treating COVID-19. Despite numerous studies and clinical observations supporting its benefits, several high-profile trials have concluded that it is ineffective. However, a closer examination reveals that these trials were designed in ways that ensured ivermectin would fail.

Legacy Media's Role

Legacy media outlets have played a significant role in shaping public perception of ivermectin. They have often highlighted studies that claim the drug is ineffective while ignoring or discrediting those that show positive results. This selective reporting has contributed to widespread skepticism and misinformation about ivermectin's potential benefits.

Flawed Trials Used To Discredit Ivermectin’s Effectiveness Against COVID-19

Improper Dosing and Study Design

A major flaw in the trials that discredited ivermectin was improper dosing. Many of these studies did not administer the drug in the correct dosage or under the proper conditions. For instance, the PRINCIPLE trial used a 0.3 mg/kg dose for only three days, advising participants to take it without food, significantly reducing its absorption and efficacy. Similarly, the ACTIV-6 trial also dosed ivermectin on an empty stomach, further compromising its effectiveness.



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Additionally, these trials often included patients treated too late during their illness. Early treatment is crucial for antiviral drugs to be effective, and delaying administration diminishes their potential benefits. Despite these shortcomings, some trials still showed positive trends, which were downplayed or dismissed as statistically insignificant.

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Statistical Manipulation

Another issue was the misuse of statistical significance to undermine positive findings. In some studies, even when ivermectin showed a clear benefit, such as reducing hospitalization rates or mortality, the results were deemed “statistically insignificant” because they did not meet arbitrary p-value thresholds. This misuse of statistics has led to dismissing potentially lifesaving treatments and created a false narrative about ivermectin's efficacy.

Real-World Evidence

Observational studies and real-world clinical data paint a different picture of ivermectin. An observational study in Brazil with over 88,000 patients showed that ivermectin reduced infection rates, mortality, and hospitalizations by significant margins.

Furthermore, a meta-analysis of 102 clinical trials involving over 142,000 patients from 29 countries consistently demonstrated ivermectin's effectiveness in reducing the severity and mortality of COVID-19.

The Impact of Bias and Hidden Agendas

The design flaws and biases in these trials raise questions about their motivations. Financial conflicts of interest and a desire to promote newer, more profitable treatments may have influenced the conduct and reporting of these studies. Ivermectin, being a generic drug, lacks the financial backing of big pharmaceutical companies, which impacts its representation and acceptance in the medical community.

The trials designed to discredit ivermectin have significant flaws that undermine their conclusions. Improper dosing, delayed treatment, and statistical manipulation have all contributed to a misleading narrative about the drug's efficacy. Real-world evidence and observational studies support ivermectin's potential benefits in treating COVID-19. It is crucial to re-evaluate these trials and consider the broader evidence to ensure that effective treatments are not dismissed due to flawed research and biased reporting.

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Carl Riedel
Carl Riedelhttps://softlayermedia.com
Carl Riedel is an experienced writer and Open Source Intelligence (OSINT) specialist, known for insightful articles that illuminate underreported issues. Passionate about free speech, he expertly transforms public data into compelling narratives, influencing public discourse.
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