senseneres

Sunday, June 14, 2026

A CALL FOR NATIONAL SPIRITUAL TRANSFORMATION

I fully agree with what Lucelle Larawan is urging us to heed: a deep-down, soul-level change in our nation, not just another round of surface reform. He reminds us of the grotesque gap between policy and practice in the Philippines—and asks: what if the missing piece is spiritual?

Larawan puts it starkly: “Let me tell you about money that disappeared while people drowned.” Between 2023 and 2025, he cites, somewhere between ₱42.3 billion and ₱118.5 billion in flood-control funds simply vanished. Even more jaw-dropping: according to Greenpeace Philippines, up to ₱1.089 trillion in climate-tagged money could have been lost to corruption since 2023.

This is no mere accounting error. It’s families drowning in Marikina. Farmers in Bulacan watching their rice fields turn into lakes. Children in Cagayan were swallowed by the floods while someone somewhere got rich.

From July 2022 to May 2025 our government funded 9,855 flood-control projects worth over ₱545 billion. Yet after every typhoon, the same communities flood, the same streets become rivers, the same families lose everything. So asks Larawan, why? Because just 15 contractors cornered about ₱100 billion of those contracts. Ghost projects. Over-priced dredging during rainstorms. Flood-walls in spreadsheets while real water drowns real people.

There is also the health-infrastructure scandal. According to Larawan: “297 out of 600 super health centers … don’t exist. Nearly half.” Meanwhile, some 400 government-built health centers sit idle despite ₱400 billion spent over the past decade. A 2024 audit identified 123 DOH contracts worth ₱11.5 billion never finished on time—or worse: paid in full but never completed.

He writes: “This isn’t just theft. This is death by spreadsheet. This is murder in slow motion, signed in triplicate.” Powerful lines. And hard-to-argue with.

Why everything we’ve tried has failed
Larawan does a sweep through our big national moment of hope—People Power Revolution in 1986—and argues correctly: we changed faces, not systems; not culture; not the Filipino heart. He writes: “We’ve normalized vote-buying… we’ve normalized ‘lagay’… we’ve normalized kickbacks and ghost-projects…” The cycle keeps turning under different surnames, because “we haven’t addressed the deeper illness eating at our nation’s soul.”

And then the story turns to David Yonggi Cho and South Korea. In 1987, facing a repressive dictatorship, Koreans rallied—yes, on the streets—but even more crucially, in prayer. Cho mobilized millions not just for protest but for persistent national intercession: justice, repentance, democracy. Then in December they had their first genuine presidential election. From there, South Korea catapulted to global powerhouse status. Cho insisted: “When people align themselves with God’s purposes through prayer, heaven moves, and nations are transformed.”

Larawan then quotes the ancient promise from the Book of 2 Chronicles: “If my people will humble themselves, and pray and turn from their wicked ways, then I will hear from heaven and heal their land.” He emphasizes: not just heal souls—but heal land, nation, system. He reminds us that corruption is not only political—it’s spiritual. Greed is spiritual; love of money is spiritual; the worship of power is spiritual.

Finally he asks: what if the solution is not another complex policy or oversight body—but prayer? Real, unified, persistent, desperate prayer. He says: “What if 90 million Filipino Christians—Catholics, Protestants, Evangelicals—all of us—stopped arguing over doctrine and started praying together?” He insists we still demand transparency, protest, vote—but add to that: mobilization of the spiritual dimension.

My reflections and suggestions
Larawan offers a call to the heart—and I join him wholeheartedly. Our systems are broken not only because of institutional failure, but because the underlying human and spiritual condition is corrupt. So:

Let's start by acknowledging the moral-spiritual dimension of corruption and failure. Policy alone hasn’t sufficed.
Let us pair action with prayer: demand transparency; monitor funds; prosecute graft—but also mobilize communal prayer: for honesty, repentance, protection of the vulnerable.
Encourage ecumenical unity across denominations: prayer gatherings that transcend factional divisions, focused on national healing, not just sectarian advantage.
Combine monitoring and spirituality: for example, public dashboards, citizen-oversight apps (open-source, perhaps blockchain-based), and at the same time national days of prayer and collective reflection.
Recognize that spiritual change takes time—but we should start now, because we are already losing lives, credibility, futures.

A closing question
Larawan challenges us: “The question isn’t whether it will work. The question is whether we believe it enough to try.” I ask you: As a nation, do we dare to believe? Not just believe that change is possible—but believe that we must be part of it? Because at this moment, with ₱1 trillion or more possibly lost, hundreds of ghost hospitals, and thousands of deaths from preventable causes, the cost of inaction is too high.

Let’s heed his call: not just for reform, but for transformation. Let’s step into that jagged, uncomfortable space where politics meets prayer—because maybe, just maybe, the one thing we haven’t really tried is the one thing we’ve been too modern, too cynical, too busy for.

It’s time. And may our questions become prayers, our prayers become action, and our action become national renewal.

RAMON IKE V. SENERES

www.facebook.com/ike.seneres iseneres@yahoo.com senseneres.blogspot.com 09088877282/06-15-2026

Saturday, June 13, 2026

LET’S SEPARATE DATA FOR MISEMPLOYMENT

In our public discourse and in labor policy discussions, we often reference terms like “underemployment” and “skills mismatch” as if they were interchangeable. But I’d like to propose a fresh—albeit uncomfortable—distinction: the concept of misemployment. It’s time we pull it out of the shadows and talk about it.

What is misemployment, anyway?
In simplest terms, misemployment happens when a person’s skills, time or resources are put to work in ways that are inefficient, inappropriate, or even harmful to the individual or to society. It’s broader than underemployment (which tends to mean “needs more work” or “less hours than desired”) and includes the misuse of talent and the misallocation of labor.

For example: a licensed teacher working as a sales clerk. A professional engineer doing mundane clerical work for years. A barangay health worker assigned to tasks that have little to do with health services. These are misemployments—a misuse of human capital that rarely makes headlines but steadily erodes potential.

Why does the distinction matter?
In the Philippines our main labor institutions—Department of Labor and Employment (DOLE) and the Philippine Statistics Authority (PSA)—do not track misemployment as a separate statistic. Nor does any other country (to my knowledge) officially publish a “misemployment rate”. Yet we track unemployment, underemployment, joblessness and hours worked. Why skip misemployment?

My late brother, Roy Seneres—former Ambassador and NLRC Chairman—was the first to make me aware of the flawed way we define underemployment in our country. Under our current definition: working fewer than eight hours a day qualifies. But Roy observed: “What about that teacher who becomes a sales-girl? She’s working eight hours a day, even more—but she is under‐utilized, her value wasted.” That is misemployment.

Here’s the problem:

We need to know how many people are underemployed (for instance, working less than eight hours a day or wanting more work).
We also need to know how many people are misemployed (working full hours but in roles well below their qualifications).
But which is the bigger driver of the “job-mismatch” we often talk about? I’d argue it’s misemployment. People have jobs—but they’re not the right jobs.

What do the numbers say?
Officially, for September 2025, PSA data show: an unemployment rate of 3.8 % (about 1.96 million Filipinos) and an employment rate of 96.2 %. Underemployment is at 11.1 % (equivalent to roughly 5.52 million people).

Notice: We don’t see any figure for misemployment. Because it’s not being measured separately. So it remains hidden—yet likely significant.

So where does the problem lie?
Is it in the educational system that produces graduates ill-matched to the job market? Is it in hiring practices that fail to utilize the right talent? Is it structural—when institutions assign people to the wrong posts or allow talent to go wasted? Might this be one reason why so many Filipinos go abroad, looking for jobs “right” for their skills? Possibly yes.

What can be done?
We need a database solution—perhaps backed by blockchain or AI-enhanced matching—to track skills, roles and assignments. At home, in barangays, in LGUs, we must know who we have, what they’re qualified for, and where they are deployed. For misemployment to be addressed, we first need to measure it.

Proposed modular data categories:

Skill Mismatch: Individuals working in jobs far below education/training.
Role Misallocation: Staff assigned outside mandates (e.g., health worker doing clerical duties).
Time Misuse: Staff with few tasks despite full-time status.
Resource Misemployment: Equipment or funds allocated for mis-directed jobs.
Cultural/Gender Misemployment: Talents of indigenous knowledge-holders or women sidelined in decision-making roles.

Suggested collection tools:

Barangay-level surveys that could align occupation, education and task.
Focus-group discussions with those misemployed.
Stakeholder mapping to identify gaps between assignment and actual work.
Policy audits comparing stated mandates with actual roles.

Why act now?
Because misemployment is silently draining our human capital. It is a form of labor market inefficiency which echoes across sectors: wasted potential, frustrated workers, slower innovation and stagnated productivity. When someone qualified for higher value work is doing lesser value work, society loses twice—what they could have contributed, and the cost of running something less suited.

What I suggest we do:

Lobby PSA/DOLE to add a misemployment indicator in their surveys, separate from underemployment.
Conduct pilot audits in selected barangays with the modular framework.
Use technology—smart matching platforms, AI algorithms—to bridge the gap between talent and role.
Integrate misemployment diagnostics into community-restoration, circular-governance models. Remap human capital just like we map physical infrastructure.

Final thoughts:
We all agree that jobs matter—but what if the job is wrong for you? That doesn’t just affect the individual; it ripples through households, communities and the economy. By lumping misemployment under “underemployment” or ignoring it altogether, we deny ourselves the chance to fix it. So: let’s separate the data, sharpen our focus and aim for not just more jobs—but right jobs.

We owe it to the millions of Filipinos who are working—and yet waiting, or are not earning right.

RAMON IKE V. SENERES

www.facebook.com/ike.seneres iseneres@yahoo.com senseneres.blogspot.com 09088877282/06-14-2026

Friday, June 12, 2026

HOW DO WE TRACK DOWN DISASTER VICTIMS IN REMOTE AREAS?

In our urban centers, disaster-victims can often be found with relative speed: the roads, addresses and communications are more or less in place, and rescue teams know where to look. In remote areas, however – mountain villages, far-flung barangays, communities cut off after storms and landslides – the challenge is far greater. And that leads to the question: How do we track down disaster victims in these remote, hard-to-reach zones?

The promise of technology

Today, a host of modern tools are available: remote sensing, GIS, GPS, and increasingly, AI-powered localization systems. Put simply:

Remote sensing: satellites and drones can scan large swathes of land, detect terrain changes, collapsed structures, heat signatures or other signs of human presence.
GIS (Geographic Information Systems): integrates spatial data (maps, terrain, infrastructure) with reports and sensor inputs so that responders can visualize where victims might be stranded.
GPS: tracks the location of mobile phones or GPS-enabled devices; rescue teams use it to coordinate and pinpoint distress signals.
Advanced techniques: for example, RSSI-based localization (using signal strength from mobile/wearable devices corrected by machine learning), sensor networks/IoT devices in the field, and AI that fuses thermal imaging, acoustic sensors and mobile signals to prioritise search zones.

All of these raise the possibility of finding survivors even when roads are gone, towers have collapsed or communication is down.

But are we really using them?

I ask because the tools may well exist within our government – via the military, the police, and our disaster-response units. Yet having them is only half the battle. The bigger question is: How do we harness them? How do we mobilize the people who have access to these tools? Because what good is a satellite scan if we don’t know who we’re looking for, or where they exactly are?

The crucial missing piece: local data

This is why, in my view, we need robust barangay-based databases. We need to always know:

Who lives in every barangay (names, numbers, vulnerable households)
Where the households are (addresses, GPS coordinates if possible)
Which households already live in known danger zones – storm-prone, landslide-prone, flood-prone.

It may well be that government agencies already hold many of these datasets. But whether they’re consolidated, up-to-date and integrated into the search-and-rescue frameworks is another question. Because in a calamity, what you need is data + technology + coordination.

How it all comes together

Imagine this workflow: After a typhoon sweeps through a remote region, drones fly over the area and produce imagery; GIS maps are updated to show collapsed bridges, flooded terrain, cut-off roads. At the same time, pre-existing barangay databases show, for example, 120 households in Barangay X with 10 tagged as “high-risk (elderly, mobility-impaired)”. Mobile phones or wearable devices register no movement. Search teams, using GPS coordinates and RSSI logic, are dispatched to likely zones. Locals with CB/VHF/UHF radios coordinate communications where cell towers are down. The result: faster, more targeted rescue.

Mobilizing radio operators

Speaking of radios: when cell infrastructure is destroyed, CB/VHF/UHF radio owners become critical. They work without internet or cell service, can connect barangay-to-barangay, and many already have the skills and networks. Here’s how we might bring them into the disaster-response fold:

Map all active radio operators through ham clubs, LGU registries, civic associations.
Provide licensing support, training, and incentives (e.g., fuel stipends, gear upgrades) to those who commit to disaster roles.
Conduct joint drills involving LGUs, uniformed services and NGOs; assign roles (relay stations, mobile scouts, shelter communicators).
Develop SOPs: fallback frequencies, designated call signs, message formats for emergencies.
Equip barangays with solar-powered base stations, handheld radios, mesh Wi-Fi or satellite backups for redundancy.

Volunteers: the heartbeat of the response

The good news: We already have the legal and institutional frameworks for volunteer mobilization. For example, the Philippine Disaster Risk Reduction and Management Act of 2010 recognizes the participation of civil society, volunteers and local communities in disaster risk reduction.

Studies show that LGUs and volunteers cooperate — but the relationship requires structure, support and coordination. What we need to ask ourselves: Are we fully tapping volunteers, especially in remote barangays? Are they integrated into the tech-driven systems and databases?

My suggestions

Here are some steps I believe we must take:

Audit the tools: Confirm which technology (satellite imagery, drones, GPS trackers, sensor-networks) is already available to which agencies (military, police, DRRM offices).
Build the database backbone: At barangay level create/verify registries of residents, their location, special-needs profiles, hazard-exposure status.
Link the data to the tech: Ensure that the databases feed into GIS platforms, drone flight planning, rescue-deployment software.
Empower local networks: Train radio-operators, map them, integrate them into the communication chain when digital networks fail.
Strengthen coordination: Ensure all government agencies, LGUs, volunteers and civic organizations operate under shared SOPs, interoperable systems and clear roles.
Drill and refine: Conduct regular exercises in realistic remote-area scenarios, test the tech, test the volunteers, test the communication backup. After each exercise, debrief and update the system.

Final thoughts: the human factor

Technology is only as good as the people who use it and the data that feeds it. You could have the most advanced satellite, drone and AI system – but if you don’t know who you’re looking for, or where, or the local radio-operator doesn’t know the protocol, then you may still fail to reach victims in time. And in remote terrain, every minute counts.

In the end: tracking down disaster victims in remote areas isn’t just a tech problem—it’s a data-problem, a coordination-problem and a community-engagement problem. As we face more intense storms, landslides and infrastructure-failures, we must ensure that our systems, our volunteers and our technologies are ready—and working together.

So I’ll leave you with the question: Are we truly ready? The tools may exist, the laws may be in place—but are all the gears turning in sync?

Let’s hope we are—but let’s also keep pushing until we are.

RAMON IKE V. SENERES

www.facebook.com/ike.seneres iseneres@yahoo.com senseneres.blogspot.com 09088877282/06-13-2026