Vanishing forests: Why is the Philippines failing at reforestation? 20%

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 20% (20,417 of 25,473 articles). This article is better (less manipulative) than 80.20% 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 
Confirmation Bias
15.1%
Anchoring Bias
0%
Availability Heuristic
0%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
10.6%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
5.6%
Negativity Bias
19%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
15.1%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
15.1%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
11.2%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
0%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
14%
Quote-first Misdirection
15.1%
Biased Writer Voice
5%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
0%

179 words analyzed.

Analysis

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