Micro vs Macro Economics, in Plain English

Micro: the view from one balance sheet

Microeconomics asks how a single actor decides. Why does a landlord raise rent? Why does a grocer discount bread on Sunday? Why does a company with a strong order book still freeze hiring? The tools are prices, margins, competition, and incentives. A micro fact is checkable: this firm's debt payments are due in 2027, that product's sales fell 8%, this borrower just missed a payment.

Much of what Taslos watches starts as micro. The private-credit data is thousands of individual middle-market borrowers, counted one default and one downgrade at a time. The AI-chain gauge is micro at its core: it reads specific contracts, specific customers making up 62% of one company's revenue, and specific bonds trading at 76 cents on the dollar.

Macro: the view from above

Macroeconomics asks what happens when everyone's decisions add up, because the total is not just a bigger version of the parts. One household saving more is prudent. Every household saving more at once is a recession, because one person's spending is another's income. Macro variables are aggregates: total employment, the overall price level, economy-wide credit growth, the average interest rate.

The classic macro gauges on Taslos are the labor and recession measures. The Sahm rule does not care why any one person lost a job; it watches the unemployment rate's rise from its own low, because that pattern has preceded every modern recession. The recession probability model blends the yield curve, production, permits, and payrolls into one statement about the whole economy's next twelve months.

Where the two lenses meet

The interesting moments are the handoffs. A micro fact becomes a macro fact through aggregation and contagion. One neocloud defaulting is a micro event. Its lenders marking down similar loans, its customers scrambling for replacement capacity, and protection sellers repricing the whole sector is the micro event turning macro, and it is exactly the handoff the cross-default gauge was built to catch.

The reverse handoff matters too. A macro shift, like interest rates staying high for a second year, lands unevenly: it barely touches a debt-free company and quietly crushes the smallest borrowers first. That is why the private-credit stress shows up in the lower middle market at 5.8% while the overall rate is 3.6%. The average hides the distribution, and the distribution is where turns begin.

Which Taslos gauges watch which side

Mostly macro: RPI (the whole economy's recession odds), LIG (economy-wide labor), FSM (system-wide credit conditions), RPS and DRG (market-wide valuation and fragility). Mostly micro, aggregated: CDG (named companies, named contracts, named bonds), CSG (the ten largest companies' weight), and the private-credit signposts (borrower-by-borrower defaults and downgrades). The site's working rule follows from this split: fragility gauges describe the terrain, timing gauges describe the weather, and the micro gauges are where a storm, if one comes, will be spotted first.

One habit worth keeping

When a headline makes a claim, ask which lens it used. "Defaults hit a record" is a micro count. "The economy is fine" is a macro average. Both can be true at the same time, and in late-cycle periods they usually are. The gap between them is not a contradiction to resolve; it is the information.