Boundary of Two Dukkas
Where two water drops End and Rain Begins
(1:19:00/ 1st episode)
Most of the day to day is not rain. Those are water drops.
1:19:27 අවශ්යතා සහ මෙසේ වේව ලැබිය හැකිය – ජාති 2ක්. දෙවන එක සංකල්පිත රාගය හෙවත් දුක්ඛ සත්ය නම් වේ. මෙක අලුතින් හදාගන්න දුකක්. A manufactured suffering (Arya Dukka).
There are;
Things that we like, that is not the rain (not Arya dukka)
Things that we dislike, that is not the rain (not Arya dukka)
Things that make us feel happy or joyful, that is not the rain (not Arya dukka)
Things that make us feel sad or depressed, that is not the rain (not Arya dukka)
Things we just do, that is not the rain (not Arya dukka)
Things we need to do like travelling, eating, bathing.., that is not the rain (not Arya dukka)
Situations we face like getting sick, being late, being annoyed…, that is not the rain (not Arya dukka)
Those are different from “I can get it like this, the way I wish I should get it” (මෙසේ වේවා ලැබිය හැකිය).
When you think “I can get it like this, the way I wish I should get it” then that is the rain or Arya dukka.
This idea (“I can get it like this, the way I wish I should get it”) delusively conceptualized by
ignoring the facts of how it otherwise is and
not letting it to be that way and
wanting it the way “I” want.
GPT: Concept 6: Not Everything Is Rain (Arya Dukkha)
(ref: 1st episode ~1:19:00)
A crucial misunderstanding on this path is assuming that everything we experience is Arya Dukkha.
It is not.
Most of day-to-day life is not rain.
They are merely water drops.
If everything were rain, liberation would be impossible. But the Buddha’s insight was precise, not pessimistic. Arya Dukkha is not everywhere by default; it becomes limitless only when confined within the imagination of
“I can get it like this, the way I wish it should be.”
What Is Not Rain
There are many things we encounter every day that are not Arya Dukkha:
- Things that we like — not rain
- Things that we dislike — not rain
- Things that make us feel happy or joyful — not rain
- Things that make us feel sad or depressed — not rain
- Things we simply do — not rain
- Things we need to do, such as traveling, eating, bathing — not rain
- Situations we face, such as getting sick, being late, being annoyed — not rain
These experiences arise, stay for a while, and pass away.
They may be pleasant or unpleasant, light or heavy—but by themselves, they do not constitute Arya Dukkha.
They are two water drops.
Then What Is the Rain?
Rain begins at a very specific moment.
It begins with the thought:
“I can get it like this, the way I wish it should be.”
(මෙසේ වේවා ලැබිය හැකිය)
This is the turning point.
When this idea arises, experience is no longer allowed to be what it is. Reality is rejected, and a personal demand is placed upon it.
This idea is delusively conceptualized by:
- Ignoring the facts of how things already are
- Not allowing conditions to unfold naturally
- Wanting things to be the way “I” want them to be
At that moment, water drops become rain.
Not because life changed—but because view changed.
A Subtle but Powerful Distinction
Feeling happy is not rain.
Feeling sad is not rain.
Being tired, hungry, late, or sick is not rain.
Rain begins when the mind insists:
- This should not be happening
- This must happen the way I want
- Only then will I be okay
Arya Dukkha is not life’s inconvenience.
It is the refusal to let life be inconvenient.
Closing Reflection
Understanding that not everything is rain is deeply liberating.
It allows life to be lived simply, without unnecessary resistance.
When rain is clearly recognized, it can be abandoned.
When water drops are mistaken for rain, suffering multiplies.
Seeing this difference is not philosophical decoration.
It is practical wisdom—applied moment by moment.
Software Engineer & Data Science| SQL, Analytics, and AI Solutions
Nuwan Hettiarachchi
I bring strong experience in data analytics and data engineering, with a focus on SQL-driven data preparation, data quality, and scalable processing pipelines. My background includes working with large, complex datasets, supporting business intelligence, and applying data governance principles such as profiling, lineage, and documentation. I am known for collaborating effectively across teams to design clear, reliable data solutions that support informed decision-making.
My Story
From Curiosity to Craft: My Journey in Technology and Analytics
My name is Nuwan Hettiarachchi, and my journey has been guided by curiosity, service, and a strong belief in using technology to create meaningful impact.
I began my professional path working closely with data, systems, and people. Early on, I realized that I enjoyed solving practical problems—especially those where analytical thinking and real-world needs intersect. This led me into data analytics, automation, and software development, where I’ve spent years building tools that improve accuracy, efficiency, and decision-making.
A defining part of my journey has been 10 years of volunteer teaching at a charitable organization. Teaching reinforced my belief that knowledge is most powerful when shared. It strengthened my communication skills, patience, and ability to break down complex ideas—skills that continue to shape how I design systems and collaborate with teams today.
Professionally, I’ve worked across data analysis, reporting, and application development. One notable experience was developing a Human Resources appraisal system over two years using Visual Basic and SQL Server, where I translated business rules into reliable, user-friendly software. Projects like this deepened my appreciation for clean data, thoughtful design, and systems that support people—not just processes.
Over time, my work expanded into Python, SQL databases, analytics, and automation, with a growing focus on data integrity and insight-driven solutions. I enjoy building tools that reduce manual effort, surface meaningful patterns, and enable better decisions.
Outside of work, I value balance and mindfulness. I enjoy hiking, traveling, kayaking, and spending time in nature—activities that keep me grounded and curious.
Today, I’m focused on contributing within data science and analytics–driven environments, continuing to learn, mentor, and build solutions that are practical, ethical, and impactful.
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