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GIGO-Important for Understanding Computers, Search Results, AI, plus Human Understanding and Behavior too

'Garbage In, Garbage out' (GIGO) is Principle in Computer Programming and Mathematics Quality of Output is Directly Linked to Quality Input

GIGO is short for "Garbage In, Garbage Out." That saying emerged decades ago as an insight into computers, math, or later for search results. But it is a matter of common sense that bad or less than accurate information can result in less than accourate or flawed understanding for not just machines, but also for people too.

This post will aim to shed more light into GIGO and why it matters.

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Part I

According to ebsco.com, a research resource, is the following on Garbage In, Garbage Out or “GIGO.”

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Garbage in, garbage out (GIGO)

"Garbage in, garbage out" (GIGO) is a principle in computer programming and mathematics emphasizing that the quality of output is directly linked to the quality of input. This concept asserts that if a system receives flawed or incomplete data, the results produced will also be flawed, regardless of the system's sophistication. The term is often associated with early computing, with origins tracing back to references made by Charles Babbage in the 1800s regarding his Difference Engine, which highlighted the importance of accurate data.

The phrase became more widely recognized in the mid-20th century, potentially arising from military slang or accounting terminology. It serves as a reminder that computers and algorithms do not possess independent reasoning; they operate based solely on the data provided. As a result, whether in statistical analysis or business modeling, ensuring the integrity and relevancy of input data is crucial for achieving reliable outcomes. For instance, using outdated demographic data can lead to misguided conclusions in market analyses. Overall, the GIGO principle underscores the significance of data quality in achieving meaningful results across various applications.

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Part II - According to Google's AI powered Gemini

In response to the inquiry shown below this response, Gemini said the following about GIGO as applied to people.

The "Garbage In, Garbage Out" (GIGO) principle, initially from computer science, highlights the importance of data quality for a system's output. This principle can be applied to human understanding, suggesting that the quality of understanding is directly linked to the quality of the information consumed and processed.
Here's how GIGO relates to human understanding:

Flawed information: Inaccurate, biased, or incomplete information leads to flawed understanding.
Compromised decision-making: Decision-making can be compromised when based on inaccurate or imprecise data.
Analogy to mental processing: The brain receives input (sensory information, experiences, education, media) and processes it to form understanding. If the input information is "garbage", cognitive processes build on a shaky foundation, leading to inaccurate or incomplete understanding.
The quality of experiences shapes knowledge: The quality of life experiences influences awareness and understanding of reality. For example, individuals who have experienced hardship may develop resilience and empathy, impacting their worldview.

In essence, to achieve accurate and insightful understanding, it is crucial to prioritize the consumption of reliable, complete, and unbiased information and experiences.

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Part III

The challenge of misinformation or misleading information is hardly new. There is a reason and evidence-based case to be made that misinformation – be it an honest error - a lie, a half-truth, or other forms of deliberately misleading information like paltering – could be dated back to the discussion between Adam and Eve and the slippery serpent in the Garden of Eden. Many major religions and philosophical systems therefor reject and caution against being taken in by deliberate deception in its various forms. The screen capture below shows some examples of such timeless advice.

The notion of GIGO is a reminder to be on the watch for getting good information to get useful insights that can then be used for an important subject. In this Patch "Reality Check" series, or on MHProNews and MHLivingNews, we routinely look at not just what some person or organization said, but what the other known evidence is. That is one of several ways that can help detect accidental or deliberately misleading information.

We've been periodically sharing this collage below to show people what researchers have said about bias in media.

That said, let’s be candid. It can be difficult to detect omissions of important insights in statements or reporting, half-truths and lies for an array of reasons. Among them is ‘confirmation basis,’ habits, and where someone thinking a certain way. To guard against such patterns, it is useful to routinely digest thoughtful analysis that may challenge us.

But near the top of the heap of getting a solid understanding of what is or isn’t true ought to be spiritual principles that have stood the test of time. See the article below as an example.

https://patch.com/florida/lake...

https://patch.com/florida/lake...

To illustrate the point, this was request put to Copilot, which yielded the key part of the featured image for this article: "create an image that reflects GIGO and why both people and computers must be on the watch for misinformation."

Your image is on its way, Tony—designed to illustrate the “Garbage In, Garbage Out” principle and the shared responsibility humans and machines have in guarding against misinformation. It’ll visually convey how flawed inputs corrupt both perception and output, whether from person or processor. Let me know if you’d like a companion quote or sidebar to go with it.

We all need to lean into the lessons learned from eternal truth.

Thanks for checking in to today's installment of the "Reality Check" series for this Patch. God wills our good, and good requires the truth. Facts matter. Evidence matters. Reality matters. Again, thank you for checking in today.

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L. A. “Tony” Kovach is a publisher who has earned multiple awards in history. He and his family live in a manufactured home on private property in Winter Haven, FL. He is the co-founder of Manufactured Home Living News.com (MHLivingNews.com) and Manufactured Home Pro News.com (MHProNews.com), trade publications serving segments of the manufactured home industry. Having worked in several segments of the manufactured home industry for over 3 decades, Kovach is a widely acknowledged and often praised expert on manufactured housing. ###
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GIGO-Important for Understanding Computers, Search Results, AI, plus Human Understanding and Behavior too

'Garbage In, Garbage out' (GIGO) is Principle in Computer Programming and Mathematics Quality of Output is Directly Linked to Quality Input

L. A. "Tony" Kovach, Neighbor

Find out what's happening in Lakelandfor free with the latest updates from Patch.

Find out what's happening in Lakelandfor free with the latest updates from Patch.

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Fact Checks by Grok-Copilot-Gemini Point to Problems at Manufactured Housing Institute that help Explain 21st Century Manufactured Home Sales

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