Selective outrage exposed?

Credibility score: 45/100 — Mixed Credibility. Several questionable claims detected. Read it with healthy skepticism.

BSmeter analyzed "Selective outrage exposed?" and rated it 45/100 for credibility (a BS score of 55/100 — mixed credibility), on 2026-10-16. Its weakest claim — "Uses a hypothetical comparison with Modi to amplify the sense of injustice" — scored 40/100 and was flagged as false equivalence. 4 claims were checked against the post's caption and on-screen text. Scores are produced by BSmeter's AI analysis of the post's text, not independent human verification.

Of 4 claims analyzed: 0 scored under 40, 4 between 40 and 69, and 0 at 70 or above.

Claims analyzed

Claims outrage is partisan and selective — using a comparison to imply a pattern — False Equivalence (45/100)

Comparing 'allegations' to 'social media floods' is a massive reach — it's setting up a comparison that isn't based on data 🚩

Why this score: The post attempts to draw a parallel between the weight of an allegation and the volume of social media outrage, but it doesn't provide any specific examples or data to prove that the 'other side' actually receives less attention. It relies on a perceived pattern of behavior rather than documented evidence.

Original quote: “When serious allegations surface in the public eye, why does the outrage always seem so selective? If the same claim had involved leaders on the other side of the aisle, social media feeds and primetime debates would be flooded with demands for immediate action.”

Argues for principled accountability over identity-based outrage — using loaded language — Loaded Language (50/100)

Using 'silence' and 'taking a stand' to frame a philosophical argument — it's high on emotion, low on specifics 🎭

Why this score: The text uses heavy-handed rhetorical devices like 'silence' and 'taking a stand' to turn a political observation into a moral imperative. It frames the issue as a simple choice between 'principle' and 'identity,' which oversimplifies how media-driven outrage actually functions in the real world.

Original quote: “Why is there silence when the tables turn? Whether it’s in politics, media, or everyday life, taking a stand should be about the principle—not about who is standing in front of the camera.”

Claims supporters are silent on Rahul Gandhi's action via selective outrage framing — Emotional Button (45/100)

Uses a specific emotional incident to trigger an 'outrage' response — pure emotional bait 🚩

Why this score: The post uses a specific, highly charged scenario (a pregnant lady being pushed) to manufacture a sense of injustice. It's not presenting data on supporter sentiment, but rather using an emotional trigger to demand a reaction.

Original quote: “Rahul Gandhi pushed the pregnant lady in yesterday rally on live camera still all feminist and women's supporter are silent on this case.”

Uses a hypothetical comparison with Modi to amplify the sense of injustice — False Equivalence (40/100)

Hypothetical comparison used to manufacture outrage — classic 'what if' manipulation 🎭

Why this score: It pivots from a specific event to a hypothetical comparison with another political figure. This is designed to make the viewer feel an emotional 'outrage' by comparing different political styles, rather than providing context on why the reaction is warranted.

Original quote: “Imagine the outrage if this would have done by Narendra Modi Ji. We need to take stand for that lady.”

Sources: The Strongman Speaks: Modi's Rhetorical Pathology and Why It Works, 'We May Not Accept Modiji Has Failed But People Are Comparing How Indiraji Stood Up to US Bullying in 1971' - The The Wire, Run Modi Run • EQUATOR

See the full analysis with sources →