SHIOSStrategic Honesty Intelligence

Observation window Mar 30–Apr 5, 2026Aug 10–16, 2026

The system publishes its forecasts and its misses on the same page.

104 forecasts scored against what actually happened.

Forecast accuracy →

75%

across 104 scored forecasts

Direction called right

72%

up, down or flat

Confidence reliability

Good

The system claimed more certainty than it earned, so confidence has been lowered.

Evidence base →

2,783

job postings analyzed · 40 entities tracked

How a number gets here

Every conclusion is inspectable

EvidenceTrendForecastConfidenceRecommendation

This week (Aug 10–16, 2026)

Rising

SignalCountChangeEvidence
ai literacyskill70mentions +68+3400%
25+
typescripttechnology53mentions +53+100%
25+
pythontechnology46mentions +46+100%
25+
agile deliveryskill54mentions +41+315%
25+
software engineerrole26mentions +25+2500%
25+

This week (Aug 10–16, 2026)

Falling

SignalCountChangeEvidence
scrum masterrole7mentions -5-42%
7
product managerrole7mentions -3-30%
7
program managerrole4mentions -2-33%
4
ml engineerrole0mentions -2-100%
0
product ownershipskill4mentions -1-20%
4

Standing caveat

What this can't tell you (and why that's okay)

  • We count job posts, not hires — postings move faster than actual hiring, so treat this as an early signal, not a final number.
  • We only see the sources we're connected to — "not in our data" isn't the same as "not happening."
  • Our forecasts are straight-line projections — they're built to miss sudden turns, and we count those misses against ourselves in the accuracy score above.