Understanding Sovereignty: Money, Land, and Mind in Nigeria

In earlier parts of this series, we moved from comfortable seminar rooms in the capital to the real world of broken spaces. We discussed the safety rules and hands-on methods researchers need to observe areas where the formal government has pulled back.

But just gathering information from the streets is not enough. This part explains the full setup of the Decoupling Sovereignty Index (DSI). This index has nineteen indicators created by the Sundiata Post Knowledge Lab to measure and track how sovereignty is fading away in three areas: Money, Land, and Mind.

The Three-Vector Operational Matrix

The DSI does not see states as just passive victims of big changes. It looks at how governance is actively breaking down across three areas. Each area is scored from zero to ten based on clear, observable signs. A score of zero means the state is fully functional. A score of ten means total loss of sovereignty. The indicators are split into three areas: six for Money, seven for Land, and six for Mind. Each area counts equally, making sure no single part of sovereignty loss overshadows the others.

Why Nineteen Indicators

The nineteen indicators are carefully chosen, not just thrown together. In places with Shadow Order, relying on one source can mislead. People hold back their true thoughts, and official data can be wrong. Therefore, the DSI is designed with overlaps. For instance, indicators like L2 and L4 or M6 and L6 look at similar issues from different views, allowing scores to be verified against each other. When scores differ, that difference itself provides important information. The Land indicators are slightly less weighted than Money and Mind because territorial loss has more layers, but it should not take over the overall score. If full research is not possible, a few key indicators (M1, L2, MD2, and MD5) give a temporary score until all nineteen can be collected for the official DSI.

Universal Indicators, Context-Specific Sub-Indicators

The nineteen indicators are universal. They measure the same aspects of sovereignty loss in every area, allowing for fair comparisons. But how each indicator is measured changes based on the local situation. Each indicator has specific sub-indicators chosen based on local factors like the economy, land type, population, and security conditions. These factors show how sovereignty loss appears and how to measure it in different settings, whether farming, pastoral, mining, or urban. This way, each indicator remains consistent in meaning across different areas.

The sub-indicators used and the reasons for their selection are documented with each area score. They are detailed in the DSI Methodology and Indicator Manual.

The Money Vector: Fiscal Sovereignty Indicators

This vector looks at how much a local economy is cut off from the formal government and central bank. It tracks when state financial tools stop working. It has six indicators.

M1, Parallel Taxation Rate

This measures how often and how much shadow taxes are imposed by non-state actors on businesses, market stalls, and transport. M1 is the key indicator for the Money vector. It is the most visible and earliest sign of loss of fiscal sovereignty. It is scored by counting shadow tax collection points and trader reports on tax frequency and amounts. Taxes on farming products at the production point are measured under M6.

M2, Formal Tax Compliance Deficit

This measures the difference between what the state expects to collect in taxes and what it actually gets. It is primarily noted through field observations instead of official data, which in areas of high sovereignty loss can be unreliable. It looks at how many businesses report paying taxes and the status of revenue offices in the area.

M3, Shadow Currency Penetration

This measures how much unofficial money replaces the official currency in business deals. It is scored based on the share of market transactions done in foreign money or barter and the parallel market exchange rate. Scoring is based on IMF and World Bank data, adjusted for the area’s DSI score because the more sovereignty loss, the less reliable official monetary data becomes.

M4, Remittance Dependency Ratio

This shows how much households rely on money sent from outside rather than on state-related economic activities. M4 is sensitive to changes, only increased reliance on remittances during or after sovereignty loss counts for scoring. A baseline before loss is needed for accurate scoring. Without it, M4 gets a reliability warning in the DSI record.

M5, Formal Banking Exclusion Rate

This tracks how access to formal banking services declines during or after the onset of sovereignty loss. It measures deterioration, not just absence, ensuring the DSI does not mix structural underdevelopment with active sovereignty loss. A baseline before loss is needed.

M6, Harvest Tax Rate

This indicates how much the shadow order takes from agricultural yield at the production point. It shows the financial burden on farmers when their work turns into a product. This is different from farming levies, which tax land access and belong to the Land vector.

The Land Vector: Territorial Sovereignty Indicators

This vector looks at how the physical area controlled by the state shrinks. It tracks roads, fields, courts, and checkpoints not just as lines on a map but as crucial parts of shadow order control. It has seven indicators, one more than the Money vector, showing the greater complexity of territorial sovereignty loss.

L1, State Security Footprint Index

This measures the real reach of formal state security compared to areas controlled by a Shadow Order. It checks if security forces can patrol safely or are stuck in urban barracks. The key is the difference between active and ceremonial security presence. If a security convoy only moves between fixed points and does not engage with shadow activities, it scores closer to ten than zero, no matter its physical presence.

L2, Shadow Checkpoint Density

This looks at how often and where non-state roadblocks are compared to formal police posts along key routes. It is scored by counting shadow checkpoints per kilometer and getting testimonies from transporters about checkpoint consistency. Transport costs between areas with and without shadow checkpoints provide extra information because shadow taxes affect transport pricing.

L3, Agricultural Displacement Rate

This shows the percentage of productive farm land that is abandoned or forcibly taken over because of non-state violence. L3 needs a baseline before the loss to separate sovereignty-related displacement from natural causes.

L4, Transport Route Capture

This measures how much of the main and secondary routes is controlled or taxed by shadow actors. This is different from L2 because it looks at the overall control rather than just fixed points. An area might have few checkpoints but still have high route capture if shadow order controls movement through mobile means. Both indicators are needed for a full picture of territorial sovereignty.

L5, Formal Justice Absence Index

This tracks the retreat or closure of formal courts and police stations and how shadow order takes over dispute resolution. L5 is supported by MD1, Population Trust Transfer Index, in the Mind vector. If formal justice is gone and shadow resolution takes over, the Mind vector should show reduced trust in state authority.

L6, Farming Levy

This shows how the shadow order taxes farmers for land use. It imposes regular fees for continued access to productive land, different from harvest tax which comes from yield. This is the Land vector’s strongest link to the Money vector. Its position in the Land vector shows it as a territorial control tool rather than just a revenue source. Farming levies should be separated from legitimate land use systems that existed before the loss and have community approval.

L7, Population Displacement and Return Patterns

This measures how civilian movement in and out of the area shows trust in or fear of the current authority. L7 signals both territorial and cognitive sovereignty. People show confidence in the authority they believe can protect them. A baseline before the loss is needed for accurate scoring.

The Mind Vector: Cognitive Sovereignty Indicators

This vector focuses on the mental shift that decides which authority the people recognize and obey. The Mind vector is the hardest to measure because cognitive sovereignty is not easily seen. Its six indicators are based on actions people take rather than just surveys, which can be unreliable where people hold back their true feelings.

MD1, Population Trust Transfer Index

This shows the shift in trust from formal state bodies to traditional, religious, or armed groups. MD1 measures trust in institutions, which body people believe has the right to govern. This is different from MD5, which looks at immediate protection preferences. It is scored through testimonies about where disputes are taken and attendance at formal versus shadow resolution sessions. Actions provide more reliable data than opinions when they differ.

MD2, Compliance Orientation Score

This measures how aligned the population is with either formal laws or Shadow Order rules. MD2 is the most grounded indicator in behavior. It is scored by five specific actions: property compliance, movement compliance, business compliance, dispute initiation, and civic duty. Its five markers ensure scoring is based on observable actions rather than stated beliefs, making it less likely to be biased.

MD3, Institutional Legitimacy Deficit

This measures the gap between what the formal state claims and what people actually recognize. Legitimacy is a deeper issue than trust and compliance. Trust asks if an institution will perform well. Compliance asks if its rules are followed. Legitimacy asks if the institution has the right to rule. Losing legitimacy is hard to fix and stays even when security improves. It needs active rebuilding, not just restoring security.

MD4, Narrative Control Index

This indicates which group shapes how people understand local events. It is scored through four actions: who explains crises, whose security directives people follow, where they get information, and who they blame for failures. Actions showing responses to information are more telling than stated preferences when they differ.

MD5, Protection Source Preference

This is the strongest indication of confidence. It shows who people turn to first when they feel unsafe. MD5 measures immediate survival decisions made in moments of crisis, not general preferences. It is the most reliable indicator in the Mind vector because people act differently in emergencies than in surveys. It is scored through community testimonies about who they contact in recent security incidents.

MD6, Socialisation and Education Capture

This shows how shadow order influences the next generation through control of schools and community channels. MD6 is the leading indicator in the Mind vector. It measures future cognitive sovereignty based on how the next generation is shaped. A zone with low scores on MD1 to MD5 but high on MD6 is in a dangerous situation. The next generation is being formed under shadow order beliefs while current cognitive sovereignty seems fine. A high score on MD6 signals trouble ahead, regardless of the current Mind vector score.

The above explains the nineteen universal indicators of the DSI and the principles behind their use. Detailed scoring rules and procedures will be provided in the DSI Methodology and Indicator Manual from the Sundiata Post Knowledge Lab.

But scoring these indicators is just the beginning. The next part will explore how these scores interact across the three areas and what that means for restoring sovereignty.