Reddit status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Reddit reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Reddit users through our website.

• Website Down (43%)
• Errors (30%)
• Sign in (27%)

Live Outage Map

The most recent Reddit outage reports came from the following cities:

City	Problem Type	Report Time
Patna	Errors	4 days ago
Monclova	Sign in	5 days ago
Nice	Errors	5 days ago
Guayaquil	Errors	15 days ago
Veracruz	Website Down	21 days ago
Bhubaneshwar	Website Down	23 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  ARIA (@attntion_s55ker) reported 6 minutes ago

  there are so many ppl on reddit who are like this is a terrible med that ruined my life and i know it's just reddit but I DONT KNOW ANYONE ELSE WHO HAS INSIGHT ABT THIS

• 
  cinnamon apple (@_______bbyg) reported 7 minutes ago

  I miss the days when @Reddit didn’t force you to down load the app while you’re using Reddit in the internet browser 🙄

• 
  Arjun Premkumar (@arjun_prmkmr) reported 8 minutes ago

  @ayoub_el77927 Talk about what and how you solve the problem on X an Reddit as much as possible.

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  Kiana_SEO (@KianaS_00) reported 9 minutes ago

  If you’re spending budget on GEO right now, this test may save you from putting it into the wrong channel. Today, my client gave us around 500 queries their in-house team was tracking, saying that they want to do Reddit. We narrowed them down to 50 representative ones and ran each 10 times, roughly 500 real ChatGPT responses in total. In this sample, Reddit appeared as a referenced source only 4.8% of the time, with zero direct Reddit citations. At the same time, we started seeing YouTube show up much more often for this AI category. And this is exactly why, for the clients we already work with, we don’t treat distribution as a fixed strategy. Also, e didn’t wait for the Reddit citation drop to become a GEO headline. Our daily monitoring was already showing the shift. Around August 5, we started noticing changes in how ChatGPT was retrieving sources across real user responses. We adjusted the client’s distribution strategy before the broader data came out. Later, public tracking made the change much clearer. ChatGPT Search’s use of site:-specific fan-out queries jumped from roughly 0.37% to 16.8% in a day, while the average number of searches per response increased from around 1.08 to 1.83. A few days later, Reddit’s tracked share of ChatGPT Search citations fell from a previous average of 3.83% to around 0.52%. By the time this became widely discussed, we had already seen the direction in our own monitoring and started moving the client’s budget. But Reddit still matters for reviews, community discussion and long-term brand presence. Before scaling content, we now look at: which domains AI is actually retrieving from which formats keep getting cited which sources are gaining or losing share how those patterns are changing week by week Then we move the budget. For visual categories, that might mean more YouTube. For another category, it might be product pages, niche publications or first-party research. The useful takeaway is simple: Build your GEO distribution plan around what the model is retrieving now. And ideally, you see the shift in your own data before everyone starts posting about it.

• 
  Kordon Rotaract (@RotaractKordon) reported 10 minutes ago

  reddit thread from 2015 just solved a problem I've had for months, bless that random user

• 
  Josef Andre (@josefandre_) reported 15 minutes ago

  @arthuryuzbashev aight I need to hammer reddit a bit more then. did try for a week but wasn't very successful, most certainly skill issue though

• 
  RAF SY AND ZAYNE RING HAVER (@justdancinglmao) reported 16 minutes ago

  @SLAYJENSEN I saw someone on Reddit push sky and Aisha and I’m morbidly curious. I don’t think sky’s parents would have as much issue with Aisha though This person also pushed Stella/Timmy and Bloom/Brandom

• 
  samson (@fuckyourputs) reported 16 minutes ago

  @SlumDawg21 @theo no, there is no source, they did it quietly. but if you search online you will see no new bans, and people on reddit saying they are un banned after they appealed, some say they remained banned on antigravity only (google account safe) personally and know people who have been using for months with no issue.

• 
  Nishant Nischal (@Nishant_N_25) reported 17 minutes ago

  How to get thousands of signups without spending $1 on ads: Instead of launching your SaaS with a paid paywall: 1. Pick 1 feature from your product 2. Spin it off onto a standalone landing page 3. Remove all login/sign-up friction 4. Add a clean "Powered by [Brand]" watermark 5. Launch it on Product Hunt & Reddit A great free mini-tool will bring in more leads than a 6-month marketing campaign.

• 
  Amin (@eCom_Amin) reported 19 minutes ago

  fable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research capacities literally DOUBLED so here's every prompt you'll need to reverse-engineer competitors' funnels and rip some banger gads based on it: (actually run them all rn, don't just save this) 1. load the brain before you ask it anything the research is only as sharp as the context. upload: - pdps - reviews - website - funnel pages - competitors - report CSVs - brand docs - ICP info - winners - losers literally everything then run this: "act as the angle research lead for this brand. read everything uploaded and build a working profile: ICP segments ranked by revenue, the pain points in the customer's own words, the objections ordered by how often they appear, the proof we already own, and the beliefs a buyer must hold before purchasing. do not propose angles yet. summarise what you found, then tell me what context is MISSING" that last instruction is the whole game. prompt engineering is cope just have claude tell you what he needs from you and give it to him. anybody who disagrees just loves to overcomplicate things. 2. mine untapped databases that semrush misses prompt: "search reddit threads, quora answers, amazon reviews and Q&A sections, youtube comments on competitor and category videos, tiktok comments, trustpilot, and niche forums for people discussing [PROBLEM CATEGORY]. extract VERBATIM language, never paraphrase. for each goldmine you find, give me this: the quote, the pain underneath it, what they already tried, why it failed them, the outcome they want, and the emotional state behind it" paraphrasing is how angles end up sounding like ai slop. the whole value is in knowing your ICP's EXACT words and repeating them on ads. 3. reverse engineer every competitor funnel end to end "research [COMPETITOR 1, 2, 3]. use google ads transparency center, meta ad library, their landing pages, checkout flow and email capture. for each: every live ad and where it routes, the landing page TYPE, the hero promise, the mechanism they claim, the proof they lead with, the objections handled and in what order, the offer and guarantee, and what they are NOT saying" then: "for each competitor page, tell me which awareness level it was built for. then identify which of their traffic is landing on the wrong page type" this is how you find gaps in your competitors strategies that you can capitalize on 4. diagnose market sophistication BEFORE choosing an angle this is the step 9 out of 10 brands skip and it decides whether your angle has any chance: "assess the market sophistication level for [CATEGORY] using schwartz's 5 stages. analyse competitor ads and landing pages as evidence. stage 1 means nobody has made the claim yet. stage 2 means claims are escalating. stage 3 means mechanism differentiation has started. stage 4 means mechanisms are competing. stage 5 means the market is exhausted and identification wins. tell me which stage we're in, the evidence, and what type of angle still works at this stage" if your category is at stage 4, a bigger promise does nothing. every competitor already made one. if you're operating in stage 5, the mechanism is exhausted too, and the strategy has to shift again your ad is only good if it resonates with the market it operates in 5. score every angle against awareness and funnel stage "from the research, generate 15 google ad angles for my brand. for each: the awareness level it serves, the funnel stage it belongs in, the sophistication stage it's valid at, whether it's validated by competitors or white space, the proof required to run it, and the funnel type it should be tested through. rank by expected impact and flag any we lack proof to support" an angle without proof is a claim. claude will rank those last 6. map the keywords to the angles, not the products "build the keyword universe for [BRAND] using the customer language and competitor research. split into branded, competitor, problem-aware symptom queries, solution-aware category queries, comparison, use-case, and occasion. tag each with awareness level, the angle it pairs with, the funnel type it routes to, and the campaign that should own it" this will make everything nice and organized 7. turn the research into the campaign plan "turn everything above into a 30-day google ads launch plan for this specific brand, its AOV, margin structure and market sophistication stage. for each campaign, give me: the angle it carries, the keyword cluster, the landing page type, the creative direction, and the signal that decides whether it scales, holds, or gets cut. separate must-launch from phase 2 tests" then: "tell me which 3 angles to test first and why, given our sophistication stage and the proof we currently own" and that's literally it your competitors are testing angles with fat budgets while you analyze it all, learn from their mistakes, and (ethically) rip their winners with a unique twist and if you want me to audit your brand's google ads angles using this system and show you how we'd capitalize on the winning ones... DM me "OPP"

• 
  Keegan Kreutzer (@keegankreutzer) reported 21 minutes ago

  That retatrutide vial in your fridge is now an exhibit in a federal lawsuit. Lilly sued six online sellers in August. Not for patents. For what they told customers: "research only" next to a dosing chart, "same as the real thing," "safe." Their lawyers used Reddit posts describing side effects as evidence. Three sellers took their pages down the same day.

• 
  Mike Sulka (@SulkaMike) reported 24 minutes ago

  Fable 5.1 has been out for about a day and Reddit has already discovered why some people don't like the way it writes: THE WATERMARK. Except...probably not. Fable 5.1 and Mythos 5.1 are the first new Claude models carrying Anthropic's statistical text watermark, and some users are already wondering whether that's why the newer Claude models feel more verbose, structured or exhausting to read. I went through Anthropic's actual watermark documentation, and their explanation makes that theory pretty hard to defend. The watermark doesn't insert hidden characters or extra words. It only nudges the random choice between equally acceptable next words. Anthropic says its testing found no measurable effect on creativity, readability or output quality, and cites Google's controlled testing of the underlying SynthID-Text approach reaching the same result. It also adds no extra tokens and essentially no latency. And here's the detail I hadn't appreciated: Anthropic is applying the watermark globally, even though it exists largely because of the EU AI Act, because it says it doesn't yet have a durable way to apply it only by geography. Older Claude models are eventually getting it too. Code barely gets watermarked at all when exact token choices matter. Factual passages get less watermarking for the same reason. The watermark lives mostly in places where “grey” and “overcast” are equally good choices. So if Fable 5.1 suddenly feels like it swallowed a management-consulting handbook, I wouldn't blame Brussels just yet. But humans being humans, we quickly try to reverse-engineer model behavior from vibes. Yesterday people thought Fable 5.1 existed because Claude suddenly seemed smarter. Today people think its writing changed because of a watermark. Last week a Gemini model told somebody it was a model that hadn't even been released yet. The Behavioral-Fingerprint Trap keeps winning. We are getting very good at noticing that something changed. We're still pretty terrible at figuring out what changed underneath it. And in 2026, it could be the checkpoint, the harness, the effort setting, the router, the safeguard layer, the system prompt, the watermark... ...or Claude just decided it really wanted to give you twelve bullet points today.

• 
  Kittelcattel (@cgeebeehee37704) reported 26 minutes ago

  @nancytsidley @StephanieSidley Poor Farchie. I distinctly remember the Reddit sources when he was tiny and they were gallivanting all over the world at the same time (something not even the most actual successful parents with actual jobs do) saying both kids have behavioural issues. Mostly Archie.

• 
  Dice (@builtbydice) reported 26 minutes ago

  @MSiekmoeller reddit is ridiculously good for finding people with the exact problem you’re solving

• 
  James Altucher (@jaltucher) reported 32 minutes ago

  There are two primary bottlenecks to today's AI. And solving these bottlenecks is where the money is right now. A) DATA - the big models have ALL the data already. All the texts, videos, reddit posts, tweets, etc. How can they get more data? Other than the natural daily creation of new data the biggest repository of UNUSED data is behind the corporate firewall. Whoever can unlock the data behind the firewall will create a model bigger than anything OpenAI can do. The key is this: corporate data does not want to be free (competition reasons or even legal reasons in the case of healthcare) So the method has is decentralized learning techniques where AI trains locally inside the firewall, and then shares its weights (but not the data that created those weights) to an AI model that stitches this together. This is where $TAO is the best in the world and at a $2.5B value is cheap. B) CONNECTIVITY = POWER. Everyone is complaining about power. But people don't realize that the power problem is really a connectivity problem. 100,000 GPUs in a data center means a million or more copper / electricity interconnects connecting them all. Change that from electricity to MicroLEDs and you wll use 1/30 of the power. Problem solved. Who is doing this? $MRVL $ALAB $FABC $KOPN

• 
  RicciTeTroll (@trolltom02) reported 33 minutes ago

  I feel something this morning, just left a thesis on FOMO under @snoofi_RH 's $snoofi reddit stock coin pair. "ok listen, I am desperately trying to find the reddit stock pairs that could run. So far I have narrowed it down to 2: snoofi, the literal logo of reddit (and a token that got massive bid back in the days) and chud on long, which is something redditors can definitely resonate with"

• 
  Colin Sechay (@colinsechay) reported 35 minutes ago

  @Fran_Casaretto_ The Legendary Story: Tom Hanks is sitting at a diner in North Dakota having a beer. A few tables over, some kid is face-down, completely passed out. Hanks walks over to check if he’s okay, sees the guy’s phone sitting on the table, and can’t resist. He has the bartender snap a few photos of himself with the unconscious stranger — one where he’s looking concerned, one where he’s pointing and laughing like he just found treasure — then slips the phone back into the kid’s pocket and leaves. The next morning the guy wakes up, scrolls his camera roll, and finds Tom Hanks photobombing his hangover.  That’s the story that spread on Facebook, Imgur, and Reddit with captions like “Can you imagine finding these on your phone after a drunken night out?” What actually happened A fan ran into Hanks at a diner in West Fargo (Hanks’ niece worked there). The fan’s thing was posing with celebrities while pretending to be wasted. He asked Hanks if they could do it. Hanks said yes, handed over his glasses, and played along while a friend took the pictures. The original Reddit title was literally: “My friend met Tom Hanks, stole his glasses and pretended to be wasted.”  Hanks’ favorite version When a reporter asked him about it in 2013, Hanks gave both stories and then said he preferred the legend: “Well now, that second version is that I did just start taking pictures with a passed-out guy. I’m happy with this version, that it’s become somewhat of a legend. I wouldn’t want anyone not to believe that I am capable of turning up on their phones.” So the photos are real, Hanks really posed with a guy who looks dead-drunk at a diner, and he really used the guy’s phone. He just didn’t do it to a random unconscious stranger. The internet decided the better story was the one where Forrest Gump finds you passed out and photobombs your phone, and Hanks was happy to let that one live. @grok

• 
  Clippa🐰✂️ (@CallMeClippa) reported 43 minutes ago

  @deverslath @tbdeinc @c_vinchenzo when no one could find the reddit leak that didnt exist, they created one hoping it would muddy the waters but people like you that are good at this are tracking everything in the **** show discord server already.

• 
  Stepan Nazarov (@stepan__nazarov) reported 45 minutes ago

  @linguinelabs Funny how someone on reddit had almost the exact same error 3 years ago, just with a slightly different shortcut name (but still for waking up)

• 
  🇺🇸𝕻𝖆𝖙𝖗𝖎𝖔𝖙𖦏𝕻𝖊𝖗𝖘𝖕𝖊𝖈𝖙𝖎𝖛𝖊𐚁 (@RepublicVox1776) reported 49 minutes ago

  Deadwrong once again LLM... Look, protecting your own Bluetooth devices from unauthorized access, interception, or data exposure is completely legitimate (Bluesnarffing). Grok is here with yet again a false interpretation and takin' sides of conglomerate following its terrible training. If you want to reduce the risk of unwanted access between your phone, your car, or other personal IoT devices, there are a few hardware options that can help with isolation, authentication, or simply cutting down exposure. Some are built for security, some are just practical ways to keep a device from being directly exposed, and all of them can help reduce the chances of unwanted Bluesnarfing or other over-the-air snooping. Here are some pulled from a Reddit thread. Which is what I expected Grok to do... But instead it wrongfully, and commonly flagged my comment as illicit. Ubertooth One — An open-source 2.4 GHz wireless platform used to monitor and audit Bluetooth traffic on devices you own or are authorized to test. iStorage datAshur BT — A hardware-encrypted flash drive that uses Bluetooth-based authentication to protect access to stored data. Besign BK06 Bluetooth Receiver — A Bluetooth audio bridge that can help keep your phone paired to a simpler accessory instead of exposing it directly to a car infotainment system. TUNAI Firefly LDAC Bluetooth Receiver — A portable audio receiver that can serve as an audio-only bridge in some setups. FiiO BTR5 Portable Hi-Fi Bluetooth Receiver — A portable Bluetooth receiver for audio-focused use, useful when you want a dedicated accessory instead of pairing directly with a car system. Mission Darkness Faraday Bag — A shielding pouch that blocks wireless signals, including Bluetooth, when you want full radio isolation. Many can be made and steps to implement in your vehicle would take some brain storming..

• 
  Krystal 🇿🇦 (@krystalchantalc) reported 49 minutes ago

  @Arthanis38 @Clint_Davey1 Reddit is down the hall and to the left

• 
  Grant Miller (@AIGuide_) reported 53 minutes ago

  Claude Fable 5.1 dropped yesterday and i've had it running on a full social GTM stack since it holds way more at once now. you can dump a whole category's worth of posts, every customer conversation you've had, and everything you've ever published into one project and it keeps all of it straight, which means what comes out stops sounding like the other 400 accounts in your niche running the same three prompts they lifted off a thread. and this matters because social is where GTM actually lives now. someone decides whether you're worth a reply from a feed months before they decide whether you're worth money, but most companies still file that under brand awareness and then wonder why nobody knows they exist. i'll go over 10 stages with the prompts included for each one. let's get into it. stage 0: build the brain make a claude project and load it up before you ask it for a single thing. and i don't mean a clean CRM export, because you probably don't have one and it doesn't matter anyway. load whatever actually exists: - every post you've shipped, sorted by what hit and what died - your replies, comments, and the DMs that turned into money - whatever customer conversations you have, so calls, demos, tickets - 90 days of posts from the 10 accounts your buyers already read - what shipped in the product lately - the questions people keep asking that you keep answering the same way then run this: "act as the GTM brain for this company. read everything uploaded and build a working profile: what we actually do in plain language, who it's for, what we believe that most of this category doesn't, what we've posted that landed and what died, what proof exists today, and what we can credibly claim vs what we're still earning the right to say. do not make recommendations yet. summarize what's here, then tell me what's missing." nobody selling prompt packs talks about this stage because context can't be packaged, it's just work, and it's the only reason any of the next 10 stages produce something usable. stage 1: who you're actually writing for "look at everyone who reached out to us in the last 90 days. what did they have in common before they reached out, what post did they engage with first, what were they doing instead of us, and what did they say in the first message. if the sample is too small to support conclusions, say so and tell me what would make it reliable." that last line is the one everyone deletes, which is why half this space is running strategy off nine customers and calling it a playbook. most accounts write for their followers when they should be writing for the 30 people inside that number who can actually sign something. stage 2: customer language "pull the exact language buyers use about [PROBLEM] from our own conversations, replies and reviews. then find the same conversation in public, so reddit threads, quote tweets, comment sections, community slacks where it comes up unprompted. format as quote / underlying pain / awareness stage / objection it implies / angle. then flag every place their language differs from how we describe the same thing." that flag is the whole exercise, because the distance between how your buyer says it and how you say it is where your reach goes to die, and it's usually about four words wide. stage 3: read the feed "analyze the last 90 days of posts from [10 ACCOUNTS] in this category. map what claims everyone is making, which takes are so common they stopped meaning anything, what's actually being argued about, what everyone is carefully not saying, and where the conversation goes next. then tell me which of our beliefs puts us on the contested side of a real argument." consensus doesn't travel, since nobody has ever shared a post they already agreed with before reading it. what you want is the take that's true, defensible, and mildly annoying to half your timeline. stage 4: angles "build 5 content pillars from stage 1 and the gaps in stage 3. for each: the belief it attacks, who it's aimed at, the proof required to make it land, the objection it pre-empts, and where it sits in the funnel." then run every one of them through this: "if a competitor could post this word for word and it still makes sense, cut it and tell me what's missing." try that filter on the content plan you're already running and watch how much of it evaporates. stage 5: voice everyone skips this one and then wonders why their AI content reads identical to every other account using AI. "analyze everything we've published. build a voice profile: sentence length and rhythm, how we open, how we handle disagreement, what we'll be wrong about in public, words we use constantly, words we'd never use, how technical we go before simplifying, whether we hedge or commit. then write the anti profile, the exact phrasings that would immediately read as not us. include every cliché in this category we'd be embarrassed to post." then before anything ships: "score this draft against the voice profile 1-10 and tell me which lines would get flagged as not written by us." and the anti profile ends up doing more work than the profile does. stage 6: write the posts "write 5 posts on [PILLAR] in the voice profile from stage 5. every post needs one number, name or detail that could only come from having done the thing. no question as a hook. end on the line that starts a reply. then flag anything we can't back with proof yet." it'll get you about 80% of the way there, and the last 20% is you, which no prompt is getting for you. stage 7: hooks the first two lines decide whether the other 40 get read, so treat them as their own job. "take these 5 posts. rewrite the opening two lines of each 6 ways: the specific result, the contrarian claim, the thing everyone thinks and won't say, the mistake we made, the number that sounds wrong, and the flat statement with no setup. for each tell me who it pulls and what it promises. then flag any hook the post doesn't actually pay off." that last flag is the one that matters most, because a hook you don't pay off costs you the next post too, since people remember getting baited. stage 8: distribution posting is only half of it, because the other half is showing up where the attention already sits. "list the 20 accounts our buyers already read. for each: what they post about, how much their audience overlaps ours, and what we could add in a reply that their audience isn't already getting from them. rank by overlap, not follower count." then: "given [X hours a week], design a posting and engagement system we can actually sustain. cadence, format mix, how much time on replies vs original posts. be honest about what we should not attempt at this volume." a 12k account full of your buyers beats a 400k account full of other marketers, and most content plans die because they were built for a team of four and end up getting run by one person at 11pm. stage 9: audit "compare the last 30 days to the prior 30. for each pillar and format: reach, engagement, and who engaged, so title, company type, whether they're ICP. flag anything that got reach from the wrong audience, anything that got low reach from exactly the right one, which pillars produced conversations and which produced nothing, and any drop over 20%. then tell me whether the problem is the hook, the pillar, or the claim underneath it." composition beats volume, so 40 engagements from your ICP is a better month than 4000 from people who do what you do. if your replies are all peers then you built a conference and called it pipeline. stage 10: scale "compare 30, 60 and 90 day windows by pillar, format and hook type. find what works across all three, not what spiked once. tell me what to double, what to hold, what to retire. if a sample is too small to call, say so instead of guessing." then: "build next month's roadmap: 2 pillar tests, 2 hook format tests, 1 cadence test. for each: hypothesis, metric, minimum sample to call it, and what happens if it wins." you need a minimum sample on all of it, or you're just reading noise and shipping it as strategy. the loop: - inbound tells you who you're writing for - their language becomes the angles - angles become the posts - posts become the replies - replies become the conversations - conversations sharpen the angles - the audit picks what gets written next month every output feeds the next one, so run it for 90 days and you end up with something your competitor can't copy by screenshotting your posts.

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  Mendía Helicopter Tours (@MendiaTours) reported 53 minutes ago

  @PriestRitchie They trained hard for it. Enormous amount of debate and discussion. They forged and refined their rhetoric together. The problem is they were on Reddit, a place that bans truth and dignity and hides dissenting views. They assumed it would be more of the same here

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  Harshal (@harshal_lfc) reported 57 minutes ago

  @Chikudi_US Also, according to reddit rumours they already had issues from 2nd or 3rd month itself. Plus, early months in marriage is mostly lovey dovey after which people show their true colours if they are hiding something

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  Mohit Agarwal (@mohitowit) reported 57 minutes ago

  Is @Reddit down?

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  The Wise Investor 🧠 (@TheWiseIC) reported 58 minutes ago

  @sjb987654321 @varuninvesting User stagnation is a risk but let me paint this picture. If Reddit wasn’t desired, why does logged out traffic and web referrals continue to grow? Clearly, there’s a demand for “what does Reddit think”? The issue is how to convert logged out to logged in. Well, management said that the best conversion comes from platform investments. Reddit search went from 1M users last year to 15M users. They just need to make the platform better to use. That’s it. The best ROI comes from within.

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  GODFOE UNIVERSE (@GODFOE_UNIVERSE) reported 58 minutes ago

  This tired 20th century psychoanalysis is just laughable. These “weak people” escaped slavery, crossed the desert, conquered a foreign land for hundreds of years, and kept the documents about it; preserving their identity so well against the Assyrians and Romans you’re still mad about them today. Now tell me, which angle of Jew-sperging are we taking here? Is it “Christianity is a Jewish religion”? If so, that religion conquered the gods of Homer and the lands of Odin, just not entirely the way poor ol’ Nietzsche liked with his made up system of beliefs that magically served what he liked and condemned what he didn’t like. The problem you’ll have with Nietzsche is the same he had with himself, there’s no means to ground his ideas of morality so they drift off into Reddit levels of cope. You don’t have to like Israel dude, but at least bring something other than ideas that were laughable over a century ago.

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  GHOSTBLOCK (@GHOSTBLOCK2) reported 1 hour ago

  @beerundbacon @Kismetangel1 Why would he possibly give a **** about citizens posting memes? Do you think he is on Reddit looking at what people post about him? Are you ******* slow?

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  Alexander 'Lex' Williams (@squidlord) reported 1 hour ago

  @Ochadoji999 The process of online fragmentation is a long-standing problem. We used to have Usenet as the big conversational space and individual IRC channels on some of the larger servers as the ephemeral chat places, and it worked pretty well. Quite frankly, you can run an IRC server on a potato. They can talk to one another in a sort of federated mesh if you want. We had that technology figured out and nailed down. But then came the introduction of walled garden solutions. At least AIM and ICQ used open protocols so other people could make clients that interfaced with them, and you could still talk to your friends using them no matter what client you used. Then came Facebook and Myspace and the wave of early "social media" platforms, which slowly and surely began choking off access to general cross-system information. Reddit, for quite a long time, was a very big anomaly because as long as you spoke its API, it didn't care. Which is why so much of Reddit data made it into training information for various systems. Then Discord servers became very much the norm, which combined even more fragmentary, isolated groups into their own server silo, but within the same platform ecosystem. It was and remains great technology, but the way that it has affected the culture of online communities is somewhat of a problem in my view. It creates a feeling for and desire for insularity. Plus, it focuses on ephemeral conversation rather than long-term stored communication like you find on forums and Usenet and various other places where people have more nuanced conversations. If you think all your ideas deserve to have the lifespan of a mayfly, then I guess it's great, but I don't like it very much. In fairness, there never was a VTuber community. That's the wrong word to use for it. There was a "people who did VTubing and the people who were into watching VTubing." Those people didn't necessarily have many things in common, and they still don't. It is an identity group and not a community. Which sums up so much of what's wrong with it as a whole.

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  Zakuza (@TheZakuza) reported 1 hour ago

  @ChrisMurphyCT Did you forget to login into your reddit account ? you forgot to add "and everyone clapped" at the end