Scarcity Signal #033: The Category Blind Spot

This week's crop numbers contain two stories at the same time.

USDA still expects a very large corn crop.

Wheat production, meanwhile, is projected at its lowest level since 1970.

That does not mean a wheat shortage is guaranteed.

It means one national headline can hide different conditions inside different categories.

Today's install finds the category where your household has the least flexibility.

Today we are making a Single-Category Exposure Card.

Five staples. One backup substitute for the item where you currently have only one path.

USDA's August crop outlook cut its expected corn yield but still projected a very large corn harvest because the expected harvested acreage is larger.

At the same time, wheat production is projected around 1.53 billion bushels, the lowest level since 1970.

A crop forecast can change. Global supplies, imports, exports, inventories, weather, and demand also matter. One production number does not tell you what a future shelf price will be.

But the mixed signal gives us a useful framework:

Do not ask only whether “food” is abundant. Ask whether the exact categories you rely on have alternatives.

In 1972, the Soviet Union suffered a poor harvest and quietly entered world markets to buy enormous quantities of grain.

American grain was part of those purchases.

The episode became known in the United States as the “Great Grain Robbery,” partly because the scale of the buying was not immediately clear while U.S. export subsidies helped support sales.

The world grain market tightened.

Then other pressures piled on.

Global food demand was rising. Weather problems affected production in several regions. The dollar and commodity markets were changing. By 1973, food prices had become a major political and household concern.

The point is not that one Soviet purchase alone explains every food-price increase of the era.

It does not.

The useful lesson is narrower.

A country can have a sophisticated, productive farm system and still feel stress when one important commodity suddenly faces a new demand shock.

Households experience that stress by category.

Bread.

Flour.

Feed costs that affect meat or eggs.

Cooking oil.

Not “agriculture” in the abstract.

That is why a resilience plan built around giant aggregate numbers can miss the thing a family actually uses every week.

You do not need to predict a 1970s-style grain shock.

You need to know which staple in your house has only one acceptable form, one normal store, or no substitute your family will actually eat.

The Inca Empire managed food and supplies across one of the most geographically difficult regions on earth.

Communities and state authorities used storehouses known as qullqas along roads and near population centers.

Archaeologists have found large groups of these structures in the Andes. Their placement, ventilation, and local design varied with climate and what was being stored.

Storehouses could hold foods such as maize, potatoes or dried potato products, along with textiles, tools, and other supplies.

This was not a modern grocery warehouse system.

It served an empire with labor obligations, military needs, taxation in goods and labor, and state redistribution.

Still, the resilience principle is easy to see.

A harvest does not need to be consumed at the exact place and moment it is produced.

Storage creates time.

Distributed storage creates more than one point from which supplies can move.

And storing different categories separately lets managers understand what is plentiful and what is thin.

A household version should be much simpler.

You do not need a mountain warehouse.

You need to know that “we have food” is not the same as “we have a substitute for the staple we use four times a week.”

One extra bag of rice may be useful if rice is part of your normal meals.

It is not automatically useful if the exposed category is infant formula, a medically necessary food, cooking oil, or something else with tighter substitution limits.

Across BOTH examples, the pattern is this: resilience depends less on total abundance than on whether the category you need has time, storage, and a second path.

Stop counting only total pantry items.

Find the category with no comfortable substitute.

Measured result: one category-level dependency now has a practical second option.

If your pantry looks full but one staple still has no substitute, that is the blind spot worth fixing first.

Use your normal grocery receipt or shopping app as the category map.

For the one RED or YELLOW staple, write a substitute your household will actually eat, a modest reserve target, or a home-produced second path.

Abundance is an average.

Your household eats categories.

— Sam McCoy

Find the thin category. Add one more path.

P.S. Which staple in your house would be hardest to substitute for one month? Hit reply and tell me. Forward this to the person who actually does most of the grocery shopping.

P.P.S. Next reads:

Sources reviewed: USDA August 2026 WASDE and Crop Production reports; historical accounts of the 1972 Soviet grain purchases and 1973 food-price pressures; archaeological and historical scholarship on Inca qullqa storehouses and redistribution. Crop forecasts and prices can change; this issue is about household substitution planning, not predicting a shortage.