Most companies don't have #standards because it would involve more work, collaboration, and procedures that must be followed.

As opposed to standards, companies use KPI's and dashboards that are easy to adapt to whatever resources are available.

Yet, people certified who know different standards provide better results because of the knowledge and skills they gain.

Industries that must have standards: #education, #healthcare, #security, #AI, #nuclear, #food, #agriculture, etc. Industries that don't require standards are the service industry, as long as they do not provide IT services.

Since we learn continuously, today's topic is #bootstrapping

"Bootstrapping in #machinelearning is a resampling technique used to estimate the accuracy and reliability of a model, particularly when dealing with limited data or complex models. It involves creating multiple new datasets by randomly sampling from the original dataset with replacement. This allows for the estimation of a statistic's distribution, like a model's performance, and the calculation of confidence intervals without relying on strong assumptions about the data's underlying distribution"

While in #finance and #businesses

In finance, bootstrapping has two main meanings: 1) a strategy for funding a business by using personal savings, reinvesting early profits, and minimizing expenses to avoid external loans or investment, allowing founders to retain control. 2) A method for constructing a yield curve from the market prices of coupon-bearing bonds and swaps to determine the term structure of spot returns, filling in missing zero-coupon rates through a recursive process.
Bootstrapping a Business
This method involves building a company from the ground up using internal resources and early revenue.

Funding Sources:
Personal savings, personal debt (if manageable), and profits generated by the business are used.

Strategies:
Founders focus on frugality, controlling costs, and creative financial management to stretch limited resources.
Benefits:
Founders maintain full ownership and control over the business, free...
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Some think that they know, therefore, are permitted to design someone else's path.

Then ChatGPT interpreted:

The sentence you highlighted — **“Some think that they know, therefore, are permitted to design someone else's path.”** — carries a few important ideas:

### 1. **Belief vs. Knowledge**

* People sometimes **believe they know what is best**, even if their knowledge is limited or incomplete.
* Example: A manager might think they understand a worker’s job better than the worker does, and start telling them how to do every step, even though the worker has years of experience.

### 2. **Authority and Control**

* The phrase suggests that when people *think they know*, they often feel entitled to **direct or control others**.
* Example: A teacher who assumes students learn only through memorization might force everyone to follow that path, ignoring that some students learn better through projects or discussions.

### 3. **Designing “Someone Else’s Path”**

* This refers to **shaping another person’s journey, choices, or learning**, without allowing that person to contribute or decide for themselves.
* Example: In a workplace, leadership may design a process improvement plan without asking the employees who actually use the process daily. The plan may fail because it ignores practical knowledge from those directly involved.

---

✅ **Simple summary:**
The sentence is a warning that **assuming you know best doesn’t give you the right to control someone else’s journey**. True...
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Dorina Grossu 1. Top-Down vs. Collaborative Problem Solving

In Lean Six Sigma, improvements often fail when leaders or consultants assume they “know” the solution and impose it on others.

Example: A Six Sigma Black Belt designs a new workflow for a manufacturing line without consulting the operators. Even if the design looks efficient on paper, operators may struggle with it in practice. The result is resistance and poor implementation.

Lesson: Lean Six Sigma stresses Gemba walks (“go to the place”) —...
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2 days ago
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Dorina Grossu 1. Top-Down vs. Collaborative Problem Solving

In Lean Six Sigma, improvements often fail when leaders or consultants assume they “know” the solution and impose it on others.

Example: A Six Sigma Black Belt designs a new workflow for a manufacturing line without consulting the operators. Even if the design looks efficient on paper, operators may struggle with it in practice. The result is resistance and poor implementation.

Lesson: Lean Six Sigma stresses Gemba walks (“go to the place”) —...
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2 days ago
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Dorina Grossu Classroom Exercise: “The Path Designer”
Objective

Students will learn why collaboration, respect, and data matter when improving processes — and why simply “thinking you know” can lead to poor results.

Step 1: Divide the Class

Split into two groups:

Designers (managers/consultants)

Performers (employees/operators who actually do the task)

Step 2: Task Without Collaboration

Give the “Designers” a simple process to improve on paper, such as:

Making a paper airplane.

Sorting cards into...
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2 days ago
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Drug use and consumption continue to be a problem in Vancouver, BC, Canada.

The local politicians are too corrupt to take any measures to end the drug trafficking.

Animals are being abused and neglected. Do we have any governance to ensure a clean and safe environment? This is not admissible!

Again, the education system is directly responsible for educating children, teenagers, and adults in an irresponsible environment.
A champion's attitude is the direct result of a combination of wrong genes (which cannot be changed) and a wrong educational environment.

In any high-level project (aka Lean Six Sigma), when the question is "Which of the following best describes the primary responsibility of a Six Sigma Champion?"

The correct answer is: "The Champion acts as a project sponsor, aligning Six Sigma initiatives with business objectives and ensuring resources are available."

When projects fail, the responsibility lies with the Champion and never with a lower level if we still work in a non-corrupted environment where people are respected.

youtu.be/EZo7OM7Wv9s

What we have known for thousands of years that each one is different from each other's therefore the way we learn is different too.

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It is so frustrating not being able to communicate with animals when they're not feeling well.
Can anything be done about it?
Our dog has digestion issues and can't figure out what he needs.

This experiment, which suggests that knowing a language can change a culture, is concerning, as we know that cultures do not easily change. However, when large populations adopt different languages, it can alter the original culture and gradually replace it with a copied version without the original imprint.

This is what students learn and also what ISO is providing :
"Fact and Data-Based Decision Making
It is important to make informed decisions that are rooted in facts and objective analysis.
Factual evidence for decision-making reduces risk and bias and helps keep everyone on the same page, removing disagreement and confusion as much as possible. Having systems in place to make data-based decisions gives everyone a clear basis for evaluating results and implementing any corrective actions."- ethical decision makers

www.iso.org/quality-management/principles

How do we have a large distortion everywhere?

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Inhibits Problem-Solving and Reasoning

"Real-world and interdisciplinary problems require flexible thinking, not blind recall.
Memorization discourages students from developing adaptive, analytical strategies."

How politicians should do: "In some cases, targeted tax relief can stimulate job growth, but in others, direct investment or workforce training may be more effective. We need to look at current economic indicators and consult with economists."

The real problem exists when the leader is an economist who does not follow this path.

The scope of any quality improvement program, and in any country, must have an approach to foster the development of people: intellectually, professionally, and ethically.

A country can not exist without people who do not believe in ethics.

"Just as in mathematics, belief isn't enough in politics.
Rules (claims) must be accompanied by proof (evidence and reasoning)
or they remain just talking points, not trustworthy truths."

"Just as in mathematics, belief isn't enough in politics.Rules (claims) must be accompanied by proof (evidence and reasoning)or they remain just talking points, not trustworthy truths."

We will take the main points listed below and explain them in a political context:

"Superficial Learning: Memorization focuses on short-term recall rather than deep understanding of underlying principles. Students may remember formulas but not comprehend how or when to apply them."

In a political context: "Deep learning requires: Understanding regional context, knowing policy consequences, and differentiating between rhetoric and real leverage. This illustrates how superficial learning can lead to rigid, reactionary politics, while a deeper understanding opens up space for effective diplomacy and global security."

So, which school of learning will you want to follow?

Key Issues with Formula Memorization

Superficial Learning

Memorization focuses on short-term recall rather than deep understanding of underlying principles.

Students may remember formulas but not comprehend how or when to apply them.

Inhibits Problem-Solving and Reasoning

Real-world and interdisciplinary problems require flexible thinking, not blind recall.

Memorization discourages students from developing adaptive, analytical strategies.

Cognitive Overload

Requiring memorization of hundreds of formulas across disciplines increases mental burden.

This overload reduces capacity for meaningful learning and exploration.

Poor Knowledge Retention

Students tend to forget memorized formulas shortly after testing.

In contrast, conceptually grounded knowledge remains accessible and usable.

Disconnect from Scientific Practice

Scientists, engineers, and healthcare professionals use references and tools—not memorization—to solve complex problems.

Education should reflect professional practices by teaching students how to derive, interpret, and apply formulas with support resources.

Barriers to Equity and Inclusion

Memorization-heavy assessments disproportionately disadvantage students with different learning styles, backgrounds, and access to preparatory support.

Emphasizing understanding levels the playing field and promotes deeper engagement for all learners.

Dorina Grossu Recommendations

Revise Assessment Standards

Provide formula sheets or in-test resources in all standardized and classroom-based assessments.

Design exams to test application, reasoning, and interpretation—not recall.

Shift Curriculum Objectives

Emphasize conceptual frameworks, derivations, and connections over formula memorization.

Train educators to focus on understanding, not listing.

Encourage Interdisciplinary and Applied Learning

Integrate real-world problems that require cross-subject thinking...
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3 weeks ago
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