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Published on 18 October 2026 | Deep link: ://iq2qq.com{postSlug || ''}

Overwhelmingly negative/oppositional sentiment in replies to the @DefenceHQ post (ID 2091634910075183492, posted 23 Aug 2026 ~21:13 GMT).

The original post stated: “Tomorrow, Ukraine celebrates 35 years of independence. Tonight, London shines in blue and yellow. We stand with Ukraine. #SlavaUkraini 🇬🇧🤝🇺🇦” (with an accompanying photo of London lit in Ukrainian colours). It had substantial overall engagement (~8.1k likes, ~1.5k reposts, ~1.5k replies, ~268k views as of sampling).

1. Approximate percentage breakdown of reply sentiment

Exact percentages for all ~1,499 replies are not publicly computable in full without complete data access, but sampling of top-engaged, latest, and keyword-filtered replies (via conversation_id searches, top/latest modes, and semantic relevance) shows a clear pattern:

This is consistent across top replies (highest likes/reposts), latest replies, and broader conversation samples. Support appears underrepresented in the reply thread relative to the post’s overall likes (which can include passive or algorithmic engagement). Reply volume and intensity lean heavily critical of the official message.

2. Categorized primary themes and arguments

Replies cluster around these recurring themes (drawn from high-engagement and representative samples):

These themes overlap heavily; many replies combine domestic neglect + hypocrisy + corruption skepticism.

3. Volume and impact of top-engaged replies

The post itself drew high visibility (~268k views, 1.5k+ replies). Top replies amplify the critical consensus and drive further engagement:

Overall qualitative summary: Public replies under this post show strong, consistent pushback against the official solidarity message, centred on prioritising Britain, perceived elite hypocrisy (especially around independence/flags), and doubts about the Ukraine policy’s costs, corruption, and strategic value. Supportive voices exist but are marginal in the reply ecosystem sampled. This reflects a polarised online discourse rather than a uniform national view; X replies are not a scientific poll and tend toward motivated, vocal users. Data drawn from the thread structure, top/latest conversation samples, and engagement metrics as of analysis.

You can review the breakdown yourself via the Full Grok Thread Analysis Report (PDF).