BE CAREFUL WITH INDIVIDUALS CLAIMING TO KNOW ME

(Photo for illustrative purposes only)

I am neither a corporate leader, a VIP, nor a member of any royal family. However, through my professional and social engagements over the years, I have had the privilege of knowing and maintaining contact with many individuals from such circles.

I would like to urge anyone who is approached by any individual or party claiming to know me personally, represent me, act on my behalf, or maintain a close association with me, to kindly verify such claims directly with me via email or telephone (for those who have my contact number).

I have recently received numerous reports from associates, corporate leaders, collaboration partners, members of royal circles, VVIPs, and VIPs regarding individuals engaging in name-dropping and implying connections with me that may be inaccurate, exaggerated, or entirely unauthorized. While I generally do not take issue with people claiming acquaintance or association, my concern arises when such claims are used to suggest that they have my endorsement, support, influence, or authorization to participate in, secure, or gain advantage in specific projects, business opportunities, or professional engagements.

For the avoidance of doubt, I do not authorize any individual or party to make representations on my behalf unless expressly stated by me in writing or communicated directly by me. Therefore, I strongly encourage anyone receiving such representations to seek confirmation from me directly before relying on or acting upon them.

In addition, I have traced several instances involving individuals who have seriously engaged in such misrepresentation, including cases where my name was used to pursue projects or financing arrangements, despite having only minimal or incidental prior interaction with me, such as a single conversation on LinkedIn or a brief, chance meeting at a seminar. In response to these matters, I have already lodged several police reports and instructed my legal representatives to formally communicate with the parties involved, requiring them to retract all statements and issue a formal apology.

Failing compliance, I will not hesitate to pursue all necessary legal actions available under the law to protect my name, reputation, and professional integrity

A Simple Reminder About First Impressions

I once had an appointment with a senior manager at a bank to discuss Purchase Order (PO) Financing and Factoring for a project.

Upon arriving, I informed the customer relations officer that I was there to meet the manager. The officer checked the system and mentioned that there was no appointment recorded in the database. He then asked what matter I wished to discuss.

I explained that I wanted to discuss certain aspects of factoring. The officer responded,

"I know the basics of PO Financing and Factoring."

to which I replied,

"I'm not looking for the basics. I'm interested in understanding the full details."

At that moment, the executive's secretary called the officer and informed him that the manager was expecting me. Apparently, she had forgotten to update the appointment in the system. The officer's demeanor changed immediately, and he apologized for the misunderstanding.

When I eventually met the secretary and the manager, they asked whether I had encountered any issues downstairs. I simply smiled and replied, "No," before proceeding with the discussion. My response was met with somewhat puzzled expressions from both of them, although I suspected they already knew what had transpired.

The meeting itself was productive and covered the details I needed regarding the proposed Purchase Order Financing and Factoring arrangements.

At the conclusion of our discussion, the manager remarked that it was kind of me not to lodge a complaint about the officer downstairs. I simply smiled and said nothing further.

As I was leaving the bank, I encountered the officer again. He immediately approached me and apologized profusely for the earlier misunderstanding. I reassured him by saying, "You're just doing your job."

In truth, I understood his position. From his perspective, there was no appointment recorded in the system, and he was merely following established procedures. The issue was not his diligence but rather the incomplete information available to him at the time.

The experience reminded me that assumptions can sometimes lead to premature conclusions. It is often better to fully understand a person's purpose and requirements before presuming the scope of the discussion.

THE USE OF STATISTICS TO DETERMINE ELECTION OUTCOME

Many people assume that election outcomes can be accurately predicted solely through statistics, surveys, and analyses conducted by a particular entity. However, history has shown that even established polling organizations can get it wrong.

A notable example was the 2018 General Election (GE14), where certain entities confidently projected a comfortable victory for the ruling coalition. Yet the actual outcome proved otherwise. At the time, based on my own independent statistical analysis, trend monitoring, demographic assessment, and field observations, I estimated that there was approximately a 70% probability that the opposition would emerge victorious. The election results ultimately aligned with that assessment.

The difference was not merely in the numbers but in the methodology. Statistical models are only as reliable as the quality of the data collected. I observed that some entities appeared to rely heavily on limited sampling, assumptions, historical voting patterns, or data that did not adequately reflect the changing sentiments on the ground. In some cases, there were indications that the data being presented did not fully correspond with realities observed at the grassroots level.

Rather than relying exclusively on desk-based analysis, I made a conscious effort to engage directly with communities, monitor local issues, assess voter sentiment across different demographics, and observe emerging political trends. Ground intelligence often reveals shifts in public opinion long before they become visible in conventional datasets.

This experience reinforced an important lesson: statistics are valuable tools, but they should never be treated as absolute predictors. Effective political analysis requires a combination of quantitative data, qualitative insights, field verification, demographic understanding, socio-economic considerations, and an appreciation of the prevailing public mood. When analysts become detached from realities on the ground, even sophisticated models can produce highly inaccurate conclusions.

Ultimately, elections are decided by voters, not by statistical projections. Data can indicate trends and probabilities, but genuine understanding comes from listening to people, observing developments firsthand, and continuously validating assumptions against realities in the field.

Interestingly, the same entity appears to be repeating a similar approach today, albeit with greater sophistication. This time, there is a noticeable reliance on artificial intelligence, predictive analytics, sentiment analysis, and algorithm-driven forecasting models to project electoral outcomes.

There is no doubt that AI can process enormous volumes of data far more efficiently than humans. However, AI remains dependent on the quality, completeness, and neutrality of the data fed into it. If the underlying assumptions are flawed, if the sampling is biased, or if critical grassroots sentiments are not adequately captured, even the most advanced AI models can generate misleading conclusions.

My concern is not with the technology itself, but with the tendency to place excessive confidence in predictive models while overlooking realities on the ground. Elections are dynamic events influenced by local issues, voter emotions, economic conditions, leadership perceptions, and last-minute shifts in sentiment many of which are difficult to quantify accurately.

What I am observing today bears some resemblance to what occurred before GE14. While the same entity (that wrongly predicted the outcome of 2018 GE and keep doing it wrongly in the 2022 election) appears more cautious in its projections and methodology, there are still indicators suggesting that certain assumptions may not fully reflect the actual mood of voters. Statistical models and AI forecasts may point in one direction, but field observations often tell a different story.

As I learned in 2018, numbers alone do not vote people do. When there is a significant disconnect between modelled projections and grassroots sentiment, the electorate has a way of surprising analysts, pollsters, and political strategists alike.

Whether these latest forecasts prove accurate or not will ultimately be decided at the ballot box. However, based on my own observations, experience, and analysis, I would not be surprised if these predictions are once again proven incorrect.

RECENT EV CAR FIRE

The vehicle involved is typically a plug-in hybrid (PHEV), not a full battery-electric vehicle. This is important as the fire origin could stem from multiple domains:

- High-voltage battery system

- Internal combustion engine components

- Electrical systems (HV/LV)

- External ignition sources

Without an official forensic report, the exact root cause cannot be confirmed.

However, known failure modes include:

1. Battery thermal runaway

Triggered by cell defects, aging, physical damage, overheating, or internal short circuit. Once initiated, it becomes self-sustaining and rapidly escalates.

2. Charging-related faults

Including faulty chargers, poor grounding, overcurrent, damaged cables, or unsafe aftermarket equipment, leading to heat buildup.

3. Electrical system failure

HV wiring short circuits, inverter faults, 12V system instability, or water ingress causing arcing.

4. Engine-related ignition (hybrids)

Fuel/oil leaks, turbo overheating, exhaust heat, or ECU/wiring faults in the engine bay.

5. External sources

Road debris, roadside fire exposure, arson (rare), or fuel system damage after impact.

6. Maintenance or modification issues

Aftermarket systems, poor repairs, or non-OEM parts affecting electrical loads.

Fire spread is often rapid due to lithium battery energy density, flammable materials, and combined fuel–electrical systems. Firefighters’ use of a fire blanket typically aims to limit oxygen and prevent re-ignition.

Globally, similar cases most commonly involve:

- Electrical short circuits

- Battery thermal runaway

- Engine bay fluid ignition

Investigations remain probabilistic until forensic confirmation is completed.

Modern vehicle fire investigation is multidisciplinary, involving fire dynamics, electrical engineering, battery chemistry, mechanical systems, and digital diagnostics. As vehicles become more electrified, determining root cause becomes increasingly complex and data-driven.

PENGASAS KAMPUNG MACHANG

Pengasas Kampung Machang dikatakan dibuka sekitar tahun 1880 oleh sekumpulan penduduk dari Pasir Tumboh, Kota Bharu, yang diketuai oleh En. Senik.

Namun, berdasarkan rekod dan catatan tidak rasmi yang saya kumpulkan, terdapat versi alternatif yang menyatakan bahawa individu utama yang membuka kawasan tersebut ialah Puan Senik binti Merah (dikenali juga sebagai Edem dalam sebutan Siam “แดง”), bersama suaminya Awang Kecik yang berasal dari Limbat.

Keturunan mereka dipercayai masih wujud sehingga kini di kawasan Kampung Sungai Hala dan Kampung Cherodok, yang mungkin menyokong kesinambungan garis keluarga awal tersebut.

Isu kronologi dan percanggahan masa

Terdapat beberapa ketidakselarasan dari segi garis masa yang memerlukan penelitian lanjut:

Catatan sejarah lisan menyebut Tuan Halus dan Edem melarikan diri ke Machang sekitar 1787–1788. Sesetengah menyatakan mereka kemudiannya melarikan diri ke Limbat dan sesetengah mendakwa Edem telah meninggal di Kampung Machang.

Nik Muhammad anak kepada Tuan Halus dan Edem pula dikatakan lahir sekitar 1788.

Ini menunjukkan kewujudan generasi tersebut hampir satu abad lebih awal daripada tarikh pembukaan Kampung Machang yang lazim disebut (±1880).

Berdasarkan analisis awal, adalah munasabah untuk mempertimbangkan bahawa:

Kampung Machang mungkin telah wujud lebih awal daripada 1880, mungkin sekitar 1870 atau lebih awal lagi sebagai penempatan kecil atau “pembukaan bertahap”, bukan penubuhan rasmi.

Isu silsilah dan identiti “Puan Senik”

Dalam rekod tidak rasmi yang saya pisahkan daripada silsilah rasmi, terdapat dakwaan bahawa nama sebenar Puan Senik ialah “Nik … binti Merah”.

Terdapat juga hipotesis bahawa:

Puan Senik adalah anak kepada Tuan Halus dan Edem. Ini menjadikannya mungkin adik-beradik kepada Nik Muhammad (anak kepada Tuan Halus dan Edem).

Jika ini benar, maka struktur keluarga awal Machang adalah lebih kompleks dan bercabang daripada yang direkodkan secara rasmi.

Isu utama yang masih belum terjawab

Fokus utama penyelidikan ini ialah identiti sebenar “Merah”:

Siapakah sebenarnya “Merah” yang disebut sebagai bapa kepada Puan Senik?

Adakah “Merah” merujuk kepada suami Tuan Halus, atau individu lain dalam generasi berbeza?

Adakah terdapat kekeliruan nama gelaran, transliterasi Siam–Melayu, atau perubahan nama mengikut generasi?

Nota penyelidikan

Pada peringkat ini, saya tidak dapat memasukkan nama-nama tersebut ke dalam master lineage rasmi kerana:

- kekurangan sumber primer bertulis,

- percanggahan kronologi,

- dan keperluan pengesahan silang (cross-verification) melalui rekod lisan, keluarga, atau dokumen lama.

Walau bagaimanapun, terdapat petunjuk bahawa:

masih wujud waris atau cabang keluarga awal di Machang yang mungkin menyimpan maklumat tambahan yang belum didokumentasikan.

Sesiapa yang tahu mengenai maklumat ini dengan lebih jelas, sila hubungi saya.

Saya juga perlu menjelaskan bahawa Raja Merah (yang dikatakan pernah membelot) dan Jong Edem adalah dua individu yang berbeza.

Ini kerana terdapat perbezaan jelas dari segi asal-usul dan latar sejarah mereka:

Jong Edem tidak berasal dari Pattani, sebaliknya dipercayai berasal dari Kemala (Phuket) dan mempunyai kaitan dengan pengaruh Ayuthia. Manakala Raja Merah pula dikaitkan dengan wilayah Reman. Malah zuriat mereka juga berbeza.

Selain perbezaan geografi dan latar politik tersebut, garis masa kewujudan mereka juga tidak selari, menunjukkan bahawa kedua-duanya bukan tokoh yang sama dan tidak boleh disatukan dalam satu identiti sejarah.

STRUCTURAL DEFICIENCIES IN REINFORCED CONCRETE HARDSTAND CONSTRUCTION

 

1. SUMMARY

A comprehensive engineering audit was undertaken following reports of premature surface cracking, localized settlement, ponding of water, and concerns regarding construction quality within a newly completed reinforced concrete hardstand facility.

The investigation identified multiple critical non-conformances involving both construction practices and quality assurance procedures. These included unauthorized progression of works beyond approved inspection stages, omission of specified subbase preparation activities, inadequate compaction of foundation layers, inconsistent concrete slab thicknesses, and deficiencies in curing and quality verification records.

Site investigations, non-destructive testing, destructive verification works, and document reviews indicate that the completed hardstand does not fully satisfy the approved design intent or specified engineering requirements.

The facility is therefore considered structurally non-compliant pending completion of corrective works and independent verification.

2. BACKGROUND

The hardstand was designed to accommodate:

• Heavy goods vehicles (HGV)

• Container handling equipment

• Forklifts and mobile cranes

• Static storage loads

• Industrial logistics operations

The approved design consisted of:

1. Reinforced Concrete Slab

2. Lean Concrete Blinding Layer

3. Compacted Crusher Run Subbase

4. Engineered Fill Layer

5. Prepared and Compacted Subgrade

Each layer was designed to work together as an integrated load transfer system.

Failure of any component may result in cracking, settlement, joint failure, or long-term structural deterioration.

3. OBJECTIVES

The audit was undertaken to:

• Verify structural compliance with approved design drawings.

• Assess slab thickness consistency.

• Verify concrete quality and strength.

• Assess subbase and formation preparation.

• Review construction quality records.

• Determine root causes of observed defects.

• Recommend corrective and preventive actions.

4. REFERENCES

The assessment was performed with reference to:

4.1 Concrete

• ASTM C42 – Core Testing of Concrete

• ASTM C39 – Compressive Strength Testing

• ASTM C805 – Rebound Hammer Testing

• BS EN 12390 Series

4.2 Earthworks and Compaction

• ASTM D1557

• ASTM D6938

• BS 1377

4.3 Construction Specs

• Approved IFC Drawings

• Material Specifications

• Inspection and Test Plans (ITP)

• Project Quality Plan

5. DESIGN REQUIREMENTS

6. FINDINGS

7. FIELD OBSERVATIONS

The site inspection identified:

8. TESTING

The investigation included:

8.1 Non-Destructive Testing

• Rebound Hammer Survey

• Visual Assessment

• Surface Level Survey

8.2 Destructive Testing

• Concrete Core Extraction

• Compressive Strength Testing

• Trial Pit Excavation

• Subbase Verification

9. RESULTS

10. ROOT CAUSE ANALYSIS

The failures are assessed to be systemic rather than isolated.

Potential contributing factors include:

10.1 Technical

• Inadequate compaction effort.

• Improper moisture conditioning.

• Poor concrete curing practices.

• Variations in concrete placement methods.

10.2 Management

• Insufficient supervision.

• Weak quality assurance enforcement.

• Schedule-driven construction pressures.

10.3 Procedural

• Bypassed hold points.

• Incomplete testing.

• Inadequate documentation controls.

11. RISK ASSESSMENT (ENGINEERING)

12. CONCLUSION

The investigation concludes that:

1. The hardstand construction does not fully comply with approved design requirements.

2. Concrete strength results consistently fall below specified requirements.

3. Thickness deviations exceed permissible tolerances in several locations.

4. Subbase compaction does not satisfy engineering specifications.

5. Quality assurance controls were not effectively implemented.

6. The completed hardstand cannot presently be certified as compliant for long-term heavy-duty service.

13. CORRECTIVE ACTION PLAN (CAPA)

13.1 Immediate

1. Suspend further hardstand construction activities.

2. Conduct comprehensive root cause investigation.

3. Increase frequency of verification testing.

4. Excavate trial pits to confirm subbase conditions.

5. Undertake structural assessment of affected areas.

6. Remove and reconstruct severely defective panels.

13.2 Verification

1. Repeat core testing.

2. Repeat compressive strength testing.

3. Conduct additional FDT testing.

4. Verify slab reinforcement cover.

5. Confirm subbase thickness and compaction.

14. PREVENTIVE ACTIONS

1. Reinstate mandatory inspection hold points.

2. Implement digital QA/QC tracking systems.

3. Strengthen contractor supervision requirements.

4. Improve concrete temperature monitoring.

5. Increase independent testing frequency.

6. Introduce third-party quality audits.

7. Establish formal competency assessments for site personnel.

15. RECOMMENDATION

The reinforced concrete hardstand shall be classified as:

REJECTED PENDING RECTIFICATION AND INDEPENDENT VERIFICATION

No practical completion certificate, handover approval, or final acceptance should be granted until all identified deficiencies have been rectified and compliance has been independently verified through testing, inspection, and engineering certification.