Gays on Ghosting in Japan

The host and two guests — Andrew and Parris — discuss ghosting, its variants, and how it plays out specifically within gay dating in Japan. They define related terms like haunting, submarining, and zombieing, then compare Japanese dating patterns to Western ones. The group acknowledges they have all both been ghosted and ghosted others, and explore cultural reasons why ghosting may be more prevalent and cyclical in Japan. The conversation ends on a cautiously hopeful note with a real-life success story.

• ·Ghosting is defined as someone you are talking to or seeing who disappears without explanation or warning.
• ·Related terms are introduced: haunting (reappearing peripherally via social media likes), submarining (resurfacing casually as if no time passed), and zombieing (returning with direct messages and plans).
• ·The hosts note that ghosting is not specific to gay relationships — it affects straight people and is a worldwide phenomenon.
• ·In contrast to America, where a ghost is typically considered gone for good, in Japan people commonly come back after disappearing — submarining is described as the norm rather than the exception.
• ·Seasonal patterns are observed: people tend to submarine around Golden Week, Christmas, and midsummer — the same dates recur predictably year after year.
• ·One host recounts a date that went well, ended with a sleepover, and was followed by complete silence — even a polite follow-up message was left unread.
• ·The group discusses possible explanations for ghosting: the person may already have a partner, or the encounter was transactional with no interest in continuing.
• ·Parris shares a story of a man who ghosted after two dates, resurfaced a year later, and explained he had changed careers to work as a sex worker (escort), which left him with no time for dating.
• ·Parris reflects that it may not be entirely fair to expect someone to disclose personal circumstances they are not ready to share.
• ·All three participants admit they have ghosted people themselves, and one host acknowledges some personal 'victims' of their own ghosting.
• ·One host describes their reasoning for ghosting: losing the energy or motivation to reply, a feeling described as a 'very typical Japanese answer.'
• ·Japan's cultural tendency to avoid confrontation is identified as a core reason ghosting is more common there — disappearing is seen as a way to exit a situation without direct conflict.
• ·Japanese dating culture places high value on personal time and personal energy; seeing a romantic partner once a month is presented as considered normal by many.
• ·Technology is noted as a factor — connections form quickly and can dissolve just as quickly in the current dating landscape.
• ·Parris shares a success story: his current partner of two and a half years initially seemed to be fading out due to a night-work schedule, leading Parris to leave; a year later they reconnected via Instagram, circumstances had changed, and the relationship has lasted.
• ·The hosts caution against treating every ghosting as a definitive ending in Japan, noting that context and circumstances sometimes change.
• ·The video ends by inviting viewers to share their own ghosting experiences and to honestly reflect on times they have ghosted others.

Three gay expats in Japan work through a taxonomy of modern romantic disappearances — ghosting, haunting, submarining, zombieing — drawing on their own recent Tokyo dating histories. The conversation moves between definition-setting and personal testimony, including Parris's story of being walked to the station after a successful sleepover and never hearing from the man again, and a subplot involving a former date who turned out to be a call boy logging eight clients a day. The video closes on Parris's success story: his current two-and-a-half-year partner originally faded out, then resurfaced on Instagram a year later under changed circumstances.

How this video's like-and-comment rate compares to this channel's running average.

Opening 15 seconds — the bit that decides whether a viewer keeps watching.

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[0:00] hi so we're back and Paris has joined us again for another wonderful video. I am so happy to be here. [0:09] Where did he go? I think he just ghosted us. [0:19] Just kidding, we are back. [0:22] But it does bring us an important point that I think happens a lot in Japan which is 'Ghosting'

The title accurately labels the topic but buries the video's three most engaging elements — the cultural non-confrontation explanation, the 'clockwork' seasonal return pattern, and Parris's two-year relationship success story — all of which generated the highest-liked comments and drove personal storytelling in the thread.

72 comments analysed and clustered into themes.

How the audience feels — a Net Sentiment mood score, how split the room is, and an early churn signal. All from the comments, not YouTube analytics.

Net Sentiment Score over 45 analysed comments; headline adjusted toward the channel norm (Bayesian, C=20). Polarization = normalised entropy. Comment-derived — not YouTube analytics.

Who actually showed up in the comments — psychographic, topical and language mix. Computed deterministically from 45 labeled root comments.

YouTube’s 2025 discovery shift now weights satisfaction signals — comment sentiment, tone, and depth. We can’t see the model, but we can estimate its inputs. Directional only.

Key transcript moments — tap a timestamp to jump to that point in the video.

Each comment theme mapped to the transcript moment that sparked it.

Severity × frequency — ranked. Each point has an evidence quote and a concrete before/after suggestion.

What a brand or agency would see evaluating this video — which sponsors to pitch, why, what to charge, and what's safe.

This is a small but unusually devoted audience: of 72 comments, the 58.3% positive-reaction cluster is dominated by unprompted loyalty signals ('This channel is sooo refreshing', 'I love your channel and look forward to your new fun topics every week', 'Really love the content guys! Love from London'). The 41.7% who share their own intimate ghosting stories show deep parasocial trust — people confess personal dating history here, which is exactly the trust a sponsor wants. But there is zero purchase-referral behaviour: no one asks for product links, gear, or recommendations, so buy-intent is unproven even though ad tolerance looks high (no anti-ad sentiment anywhere).

Algorithm Signal is a proxy. YouTube’s satisfaction scores aren’t public. Directional, not predictive.

Unanswered questions and explicit requests from the comment thread — fuel for the next upload.

Three video ideas pulled directly from what the comments asked for.

Concrete, testable changes for the next upload. Each cites a timestamp, a comment quote, or a metric — and names what to watch.

Who to reply to first — ranked by impact, with a ready-to-send draft in your voice.

Shareable social-proof quotes — ready for thumbnails, community posts, or a sponsor deck.

Moments worth cutting into Shorts — each with a title and a ready hook line. Timestamps link to the video.

Verbatim — the 5 most representative comments from the thread.

Top reply-magnet comments — where the real debate happened. 27 replies across 25 roots · max chain 3 deep · creator replied to 56%

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