Color Farm Impact · The Dharma Project
The Suppression Weight · Reading, PA
Sourced data
Confidential
Confidential
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Dharma verdict
62–72. Suppressed, not low.
Recommendation: invest. A gap of +40 held down by sourced, addressable conditions. The gap is the return. (Gap +40)
What's holding the 27 down
Environmental burden & food access
+8.6
Concentrated poverty
+9.7
Redlining legacy / housing disinvestment
+7.2
Act 47 fiscal distress
+5.5
Health outcome gap / care avoidance
+4.4
Housing overcrowding & disinvestment
+4.8
CC 27 + uplift +40LV 62–72
Current Conditions 27 + sourced suppression +40 = Latent Value 62–72. Click any factor to see the receipt.
Capital × Community Trust
Amber dot = Reading, PA · dot size = latent gap (LV − CC) · click any dot to open its report.
Trust is a core axis of this thesis, not a footnote. High capital with low trust is exactly the pattern the Suppression Weight is built to surface — the Dharma Zone is where capital and trust move together.
LATENTlow capital · high trust
Trust is high but capital hasn’t arrived yet — the upside the thesis chases.
DHARMA ZONEhigh capital · high trust
Capital and community trust move together — the healthy target state.
SUPPRESSEDlow capital · low trust
Both capital and trust are held down — the starting condition suppression creates.
EXTRACTIVEhigh capital · low trust
Money is flowing in but the community doesn’t trust it — value is pulled out, not built.
v1 placeholder calibration (rho=0.80, ceiling=100). No headlineBand pinned (no external pitch value supplied); the engine derives the band from mean confidence. quadrant.capital/trust are a qualitative placement, refine with the content owner. `econ` and `housing` share the --stress (#fb923c) semantic token since only five semantic colors are defined and this record has six factors; see docs/dharma-lens-v2/places/reading-pa.md for the color-reuse note. Reading's deindustrialization (the Reading Railroad's decline and the collapse of its hosiery/textile manufacturing base) is documented context threaded through `env`, `econ`, and `fiscal` rather than shipped as its own standalone factor, to avoid double-counting the same underlying driver across three already-priced channels (see kill-rule notes).