{{ mh.body }}
{{ mh.lensNote }}
{{ sit.first }}
{{ p.t }}
{{ sit.resolves }} {{ t.axisSentence }}
{{ b.text }}
Where each story sits on the chart
{{ t.stripText }}
What the shape means
{{ t.peakAssess }}
{{ t.storyTableNote }}
{{ t.noiseKeyLead }}
{{ t.worldsCaption }}
{{ d.lensRationale }}
{{ t.lensGuide }}
{{ lens.headline }}
{{ lens.labelTxt }}
{{ lens.tests }}
{{ lens.takeawayTxt }}
{{ t.peakLens }}
{{ t.branchCaption }}
{{ fork.headline }}
{{ fork.raw_fallback }}
{{ fork.yes }}
{{ fork.no }}
{{ selName }} has no decision point in this run. The forks sit with the actors above.
{{ t.blLabel }}
{{ t.blBig }}
{{ t.blSub }}
{{ t.blBody }}
If nothing in particular happens
{{ t.ordinaryPath }}
For your decision
{{ t.decisionHead }}
{{ t.forYourDecision }}
{{ t.blNote }}
This brief has no single most likely reading.
It was made with an earlier method. Back then, the worlds did not each report where they land on the question's scale. So there is no landing to read from them. Card 05 shows how its stories split instead.
If nothing in particular happens
{{ t.ordinaryPath }}
For your decision
{{ t.decisionHead }}
{{ t.forYourDecision }}
Highest leverage check
{{ d.leverage_check }}
{{ t.watchLabel }}
{{ t.mapLine }}
{{ t.recordLine }} vektora.md/scorecard.
Read it in this order
{{ r.h }} {{ r.t }}
Keep in mind
{{ r.h }} {{ r.t }}
Human review. An AI model builds the worlds and drafts the text. An analyst defines the question, selects the sources and reviews every brief before it is published. In most briefs a person also rewrote the title, the summary or other passages.