Vanishing forests: Why is the Philippines failing at reforestation? ⁠23%

8/1/2026, 4:30:00 AM

BS Summary: This article contains 10 faulty reasoning types, including Confirmation Bias, Recency Bias, and Appeal to Authority, with Negativity Bias as the most egregious example at 19% saturation with 34 hits. Analysis detected 225 faulty-reasoning hits from 179 analyzed words, generating a BS Score of 29.9% and a BS Rank of ⁠23% (21,765 of 28,005 articles). This article is better (less manipulative) than 77.70% of the article peer group.

In 2011, the Philippines’ government promised to deliver one of the world’s most ambitious regreening projects. 
The idea was simple: pay locals to restore forests and cultivate barren land by planting and tending millions of trees. 
But 15 years on, a joint investigation by 101 East and Lighthouse Reports reveals how the National Greening Program has failed to meet most of its targets. 
Satellite imagery shows that instead of being protected, some forests are being destroyed, while some Indigenous communities fear losing the land their livelihoods depend on. 
101 East investigates how the Philippines is failing its forests. 
CREDITS 
For Al Jazeera 
Natashya Gutierrez, reporter 
Lee Ali, cinematographer 
Badrul Hisham, picture editor 
Susan Kim, digital producer 
Nicole Revita, local producer 
David Boyle, graphics 
Liz Gooch, senior producer 
Nick Olle, supervising producer 
Sharon Roobol, executive producer 
For Davao Today 
Lucelle Bonzo, reporter/local producer 
For Lighthouse Reports 
Min Lawi Lun, lead data investigator 
Eva Constantaras, data editor 
Margot Gibbs, lead supply chain investigator 
Viktoriia Maksymova, data fellow 
Paul Nicholas Soriano, project manager 
Article reasoning-pattern comparisonThis article: 15.1%Al Jazeera: 2.6%Confirmation Bias15.1%This article: 0.0%Al Jazeera: 0.7%Anchoring Bias0.0%This article: 0.0%Al Jazeera: 2.8%Availability Heuristic0.0%This article: 0.0%Al Jazeera: 0.8%Representativeness Heuristic0.0%This article: 0.0%Al Jazeera: 0.4%Hindsight Bias0.0%This article: 0.0%Al Jazeera: 2.0%Overconfidence Bias0.0%This article: 10.6%Al Jazeera: 7.9%Framing Effect10.6%This article: 0.0%Al Jazeera: 0.5%Loss Aversion0.0%This article: 0.0%Al Jazeera: 0.5%Status Quo Bias0.0%This article: 0.0%Al Jazeera: 0.1%Sunk Cost Effect0.0%This article: 0.0%Al Jazeera: 2.3%Optimism Bias0.0%This article: 5.6%Al Jazeera: 2.6%Pessimism Bias5.6%This article: 19.0%Al Jazeera: 10.0%Negativity Bias19.0%This article: 0.0%Al Jazeera: 1.8%Self-Serving Bias0.0%This article: 0.0%Al Jazeera: 1.1%Fundamental Attribution Error0.0%This article: 0.0%Al Jazeera: 0.3%Actor-Observer Bias0.0%This article: 0.0%Al Jazeera: 1.4%In-Group Bias0.0%This article: 0.0%Al Jazeera: 0.9%Out-Group Homogeneity Bias0.0%This article: 0.0%Al Jazeera: 1.0%Halo Effect0.0%This article: 0.0%Al Jazeera: 0.0%Horn Effect0.0%This article: 0.0%Al Jazeera: 0.0%Dunning-Kruger Effect0.0%This article: 15.1%Al Jazeera: 1.7%Recency Bias15.1%This article: 0.0%Al Jazeera: 0.3%Primacy Effect0.0%This article: 0.0%Al Jazeera: 0.0%Blind-Spot Bias0.0%This article: 0.0%Al Jazeera: 0.8%Ad Hominem0.0%This article: 0.0%Al Jazeera: 0.1%Straw Man0.0%This article: 15.1%Al Jazeera: 3.9%Appeal to Authority15.1%This article: 0.0%Al Jazeera: 1.8%False Dilemma0.0%This article: 0.0%Al Jazeera: 1.0%Slippery Slope0.0%This article: 0.0%Al Jazeera: 0.2%Circular Reasoning0.0%This article: 11.2%Al Jazeera: 3.5%Hasty Generalization11.2%This article: 0.0%Al Jazeera: 0.2%Red Herring0.0%This article: 0.0%Al Jazeera: 0.3%Bandwagon0.0%This article: 0.0%Al Jazeera: 4.9%Appeal to Emotion0.0%This article: 0.0%Al Jazeera: 0.8%Begging the Question0.0%This article: 0.0%Al Jazeera: 3.1%Post Hoc (False Cause)0.0%This article: 0.0%Al Jazeera: 0.2%Tu Quoque0.0%This article: 0.0%Al Jazeera: 0.4%Burden of Proof0.0%This article: 0.0%Al Jazeera: 0.1%Appeal to Nature0.0%This article: 0.0%Al Jazeera: 0.2%Composition/Division0.0%This article: 0.0%Al Jazeera: 1.2%Anecdotal0.0%This article: 0.0%Al Jazeera: 0.1%No True Scotsman0.0%This article: 0.0%Al Jazeera: 2.1%Ambiguity (Equivocation)0.0%This article: 0.0%Al Jazeera: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Al Jazeera: 0.1%Middle Ground0.0%This article: 0.0%Al Jazeera: 0.0%Personal Incredulity0.0%This article: 0.0%Al Jazeera: 0.1%Special Pleading0.0%This article: 0.0%Al Jazeera: 0.1%Genetic Fallacy0.0%This article: 14.0%Al Jazeera: 2.6%Unattributed Quote14.0%This article: 15.1%Al Jazeera: 1.5%Quote-first Misdirection15.1%This article: 5.0%Al Jazeera: 4.0%Biased Writer Voice5.0%This article: 0.0%Al Jazeera: 0.7%Indoctrination0.0%This article: 0.0%Al Jazeera: 1.2%Politically Left Leaning Bias0.0%This article: 0.0%Al Jazeera: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Al Jazeera: 0.3%Attempt to Sell a Product or S…0.0%

179 words analyzed.

Speakers

15speakers35%attributed speech117writer words
Selected voice

Margot Gibbs

0%flagged-word coverage
6 attributed words9.7% of attributed speech78% writer coverage
0%12.5%25.0%Quote-first Misdirection-23.1 ptsWriter: 23.1%Margot Gibbs: 0.0%0.0%Unattributed Quote-21.4 ptsWriter: 21.4%Margot Gibbs: 0.0%0.0%Biased Writer Voice-7.7 ptsWriter: 7.7%Margot Gibbs: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.