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 (64%)
• Errors (25%)
• Sign in (11%)

Live Outage Map

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

City	Problem Type	Report Time
Indio	Website Down	4 days ago
Rosenau	Errors	4 days ago
Pélissanne	Sign in	6 days ago
Adelaide	Website Down	10 days ago
Brisbane	Website Down	13 days ago
Bengaluru	Website Down	14 days ago

Full Outage Map

Community Discussion

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

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  clemmie ♡ (@nekromaxxing) reported 10 seconds ago

  @Yuriplayr i couldnt agree more. the mods have.... interesting priorities, ive heard from some ppl on reddit that it has taken months to get a response from a mod, while they instaban ppl within hours from receiving a report. its a shame, a great concept, but terrible execution

• 
  Chris Mizo (@MizoChris) reported 4 minutes ago

  Steam Frame may have just had one of its biggest concerns clarified: IPD range. • Reddit user says they emailed Valve directly about Steam Frame IPD • Concern was around the physical 60-70mm adjustment range • Valve allegedly said the pancake optics are designed to support a wider usable range • Reddit OP claims the eyebox should support around 52-76mm • This matters for people with lower or higher IPD • Could make Steam Frame more comfortable for a wider audience • The email also mentions possible tech press discussions coming up • Still not a full official public announcement, so take it carefully This is a big deal if true. A lot of VR headsets lose people immediately when the IPD range is limited, especially if you are under 60mm or above the normal range. If Valve’s pancake optics give Steam Frame more usable clarity outside the physical adjustment range, that could calm down a lot of concerns.

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  Red "Yangy" Young (@YoungRenegadeRY) reported 6 minutes ago

  @10DowningStreet You’re genuinely all a bunch of ********* honestly. If it wasn’t for social media, I wouldn’t have been able to build confidence in my teenage years. It honestly saved me. And banning **** like YouTube and Twitch? Thats like banning TV. Banning Reddit when it’s one of the most helpful sites on the internet, especially when troubleshooting broken tech. Absolutely ******* moronic.

• 
  Melissa Popp ✊ (@poppupwriter) reported 7 minutes ago

  Cat’s out of the bag. Can’t wait to chat about content strategy, AI, and who knows what Reddit rabbit holes we’ll go down tomorrow!

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  Alexey Testov (@Biuzer) reported 8 minutes ago

  @framekunst @Mystikart_ The problem is the available response options. On places like Reddit, the replies are basically either “you’re doing great” or silence. If “game sucks” were also an acceptable option, the ratio between “this sucks” and “great job” reveals a huge amount of useful information

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  joaco 🇺🇾 | CR: Lotm volume 2 (@summerr1921) reported 11 minutes ago

  @gnlune @Ikol_Tweets there is literally no ******* gate, just search "how to pirate games" or sum bullshit and you'll find a massive reddit community with the links to literally every website to pirate anything you need, if you genuinely can't pirate in the big 26 it's a skill issue

• 
  Wasim (@WasimShips) reported 13 minutes ago

  @saen_dev exactly, self-selected by problem is the key part people forget reddit users are already talking about their pain points in real time you just show up where the conversation already exists instead of trying to create it from scratch

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  Ely 🌌 Vedrfolnir's angel (@ElysianHeresy) reported 13 minutes ago

  @elyxialuv The issue is that I don't use Reddit to post my art, I would have never found out about this without my friend or people tagging me there, and I still don't want to see my art altered for memes in any case, my watermark was four times on the og picture but with format they –

• 
  Monica P 🚀🛸🪐💜🤍💛✗ (@monipridragon12) reported 16 minutes ago

  @Nigel_Farage Nigel - The real issue is they didn't ban all the media sources that are damaging. Bluesky is considered to have a whole lot of nasty stuff. Reddit has some major adult content and it's still considered ok. They didn't protect the kids; they redirected them to specific media outlets with intent.

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  Laura Marciano. American1st/Italian/Polish/Gypsy (@LauraMarciano8) reported 18 minutes ago

  @reddit_lies I hadn't heard a lot about Reddit on line at the time when I had been using it. I had no idea it was so famous. I only really used it for housing ideas. One day I decided to click around on it and found a chat about drag story hour and the **** I was reading, I couldn't believe it, and so I jumped in and holy ****, I had something like 1200 thumbs down within a day. They lost their **** and I wasn't enough rude. Just said the biological truth. They are rabid and depraved.

• 
  Mahesh Nandigam (@MaheshCodesX) reported 18 minutes ago

  Bro seriously, do you think they are scammers? I saw a Reddit post yesterday. It was from an unemployed 2024 grad. He was calling Striver and Love Babbar "scammers who opened a shop of DSA." He felt betrayed because doing their sheets didn't guarantee him a FAANG job. He was furious. I get the frustration. The job market is brutal. Online Assessments are harder than ever. It feels like companies are trying to filter you out rather than hire you. But calling them scammers? Honestly, that's just stupid. A DSA sheet is a map. It is not a helicopter ride to the summit. Those creators did the heavy lifting of organizing the chaos of algorithms to give us direction. They taught us the basics. But they never promised a shortcut to a job. Here is the hard truth nobody wants to hear: The era of "Pattern-Matching DSA" is dead. Companies know you’ve memorized the sheets. They know you’ve solved the top 400 LeetCode questions. So they don't ask them anymore. Instead, they throw what I call "Off-Grid DSA" at you. These are non-standard, template-shattering questions. You can’t just copy-paste a standard BFS template and change a variable. You have to combine multiple concepts in real-time. Under pressure. Without a tutorial. How do people crack these OAs? What’s their secret recipe? Are they superhuman? No. They just realized that a DSA sheet is only Phase 1. Once they solved their 400-500 standard questions, they did the actual work: They competed in live LeetCode and Codeforces contests. They sat for hours staring at a screen, failing, getting frustrated, and trying again. They built the grit to solve things they had never seen before. A sheet makes you a pattern matcher. Only struggle makes you a problem solver. Stop blaming the people who gave you the foundation. They did their part. Now you have to do yours. What do you think? Let's discuss in the comments.

• 
  Shake4ndbake (@ItsShake4ndbake) reported 22 minutes ago

  Emulation so frustrating. I spend forever getting **** setup, controller wasn't working with my the Emulator then, finally get that working and a few minutes in the game crashes, then does it again and I google to see reddit posts of the game not working currently 😐

• 
  minieb (@minieb1) reported 23 minutes ago

  @Safeway when you end up on Reddit, you know there’s a problem. My points are gonna expire this month and still I don’t have the option to choose a $20 credit. It goes to 700 points and $10. It’s on Reddit that you said you would fix it 😡 3 weeks ago. Still broke.🤯

• 
  odin32 (@TheKakrots) reported 24 minutes ago

  @RyanOlunix X, Reddit, Threads and LI for yapping/founder stories/building in public Tiktok, YT shorts, Insta, Meta for video/slideshow content Check best insights after a month then double down

• 
  canudont (@canudont2022) reported 27 minutes ago

  @ChiefsSBrun24 @DietDoctorDucky @GWAMtweets They did not hate her at first, they had asked her for help to get the h3_snark Reddit taken down because Taylor knew people who worked at Reddit admin. They only started hating her when she told the truth that the Reddit admins said the h3h3 sub was also engaging in ‘snark’.

• 
  youngie Can't help myself to kiss and tell 💋 (@Youngiiie0) reported 39 minutes ago

  @jiminiesneck i had the same problem when i upload it on X or reddit for my latest edit...

• 
  Daniel Shepherd (@dgshepp) reported 40 minutes ago

  @TorBox Sub’d through Patreon, having an issue with my subscription not showing active even though it was already charged. A few on Reddit with the same problem. Thanks for all you guys do!

• 
  Nick (@Nicks_Ai_) reported 40 minutes ago

  @asaio87 Sounds like me and him have the same problem, but I I'm not on my 10th.. what I learned is that you either find someone to use your app or product or you're gonna have to pay for ads somehow. I hear Reddit is good for tech apps/webapp

• 
  Santanu (@SantanuDatta94) reported 42 minutes ago

  @brendt_gd It's sad seeing the vote gone like this way, ajezz on reddit have shown some fraustation it seems. Also shoutout to Larry who actually requested the vote to be on hold to fix the issues.

• 
  0xSharp (@Sharp2448) reported 42 minutes ago

  @mehulsharmamat 100%. Almost everyone misrepresents downtime stats. Been proven already with aws way back. Simple trick, for instance check reddit how many times people complained that aws is down and then look at their reported numbers...

• 
  cele-ryjuice (@Celebrination) reported 43 minutes ago

  @hockeyp0ckey @mackiiisuh dawg its the equivalent of saying “he needs to wear baggy jeans” he obviously isnt gnna read that tweet and cut down to 1lb. It was clearly a thirst tweet with someones opinion. U ppl act like reddit users goddd daaamnnnnn

• 
  Minh Pham (@mq_p) reported 44 minutes ago

  @tejas3732 One thing I'd add under short-term: monitor Reddit/HN threads for people already asking about your problem space. Replying to those converts faster than posting cold.

• 
  Hunter Biden Official (@Bezos_Soldier) reported 47 minutes ago

  @TheRealist1967 @Yeop445187 Also the A&Nfags brapping up the rest of the site. Now I have no problem with rightoids but when they ruin the lolcow threads and spam their Reddit awards it gets annoying

• 
  Mistress Michaela 💸🔥⛓️‍💥 (@Slavic_Mistress) reported 48 minutes ago

  @GoddessRecovery Hard to say! I think some men really are enjoying the attention of it. From my short appearance there and some post about it here I know Reddit is full of submissive men dragging down ******. I may be too misandrist to enjoy interacting with submissive posts btw. I just feel we should solely support women in this field haha. BTW, girl you’re probably ghost banned or something, flagged, Idk, but your comment only shows after I click on “show possible spam comments” 🫶

• 
  mehakvishwakarma (@mehak_karma) reported 49 minutes ago

  @RyanOlunix where people are already complaining about the problem you are solving be it on reddit, discord, X, forums or personal networks

• 
  Renato (@aphdnotes) reported 50 minutes ago

  Moby-**** uses the em dash at roughly three times the modern human rate: Why AI Loves Em Dashes and Why Almost Every Explanation Is Wrong? There’s a single punctuation mark that has quietly become the most reliable fingerprint of AI-generated writing. It’s not a phrase like “delve into” or “in today’s fast-paced world.” It’s the humble em dash ( — ), that long horizontal line you’re looking at right now. Em dashes have become so synonymous with chatbot output that human writers are abandoning them out of fear of being mistaken for bots. Editors say they show up in every third sentence of AI-written text. Researchers found em dash usage in scientific abstracts more than doubled between 2021 and 2025, almost exactly tracking the rise of ChatGPT. Despite being one of the most identifiable quirks of modern AI prose, there’s no settled consensus on its cause. The most convincing explanation I’ve come across came from engineer Sean Goedecke, who traced the habit back to the books these models were trained on. It’s a genuinely good theory. But instead of just relaying it, I wanted to do something I haven’t seen anyone do with it: pressure-test it myself, as someone who works with these models for a living. So I stopped reading other people’s theories and started measuring. The experiments: 1) How dash-heavy are today’s models? 2) Does the em dash actually tokenize as cheaply as everyone claims? So, Just How Bad Is It? Try this experiment. Open ChatGPT and ask it to write something without using em dashes. Then watch as it cheerfully ignores you. There’s an entire thread on the OpenAI forums dedicated to users sharing their failed attempts to wrestle this punctuation mark out of the model’s responses. One Reddit moderator trying to “de-AI” his writing put it bluntly: “Even when I prohibit em-dashes at the level of the system prompt, the LLM keeps inserting them into text". In November 2025, OpenAI CEO Sam Altman announced on X that custom instructions to avoid em dashes would finally be respected. User responses suggest the fix is leaky at best; screenshots circulated almost immediately of ChatGPT apologizing for using an em dash in the very same response where it promised not to. My Experiments Experiment 1: How dash-heavy are models, actually? Everyone says AI overuses em dashes. Almost nobody puts a number on it. So I did the boring thing and counted it across models, against a human baseline, with a script anyone can rerun. The method is deliberately dull, but dull is what makes it trustworthy. I gave each model the same three open-ended writing prompts (a short blog on “The impact of AI on the job market”), collected roughly 2,000 words of output from each, and ran every sample through the same counter. No cherry-picking, no editing. The metric is em dashes per 1,000 words, which normalizes for length, plus the same figure as a percentage of all words, so it lines up with the published human baselines. The counter catches both forms of em dashes, the typographic em dash (—) that models emit and the -- convention used in older plain-text sources, so I could measure a 19th-century novel and a 2026 chatbot on identical terms: import re def em_density(text): words = re.findall(r"\b[\w']+\b", text) n = max(***(words), 1) em = text.count("\u2014") + ***(re.findall(r"(?<!-)--(?!-)", text)) return {"words": ***(words), "em_dashes": em, "per_1000": round(em / n * 1000, 2), "pct_words": round(em / n * 100, 3)} First, the two anchors. The modern human baseline for em dashes sits around 0.25–0.275% of all words in general English. Now the fun one, I pulled the full text of Moby-**** and ran it through the exact same counter. Melville’s novel contains 1,712 em dashes across 216,000 words: 0.79% of every word he wrote, or about 7.9 per 1,000 words. That’s the headline the print-book theory hangs on, made concrete: Moby-**** uses the em dash at roughly three times the modern human rate. The 1860s really were a different punctuation universe. I expected the models to bunch together somewhere above the human line. They didn’t. They scattered across the entire range, and that scatter is the actual finding. Claude out-dashes Melville. At nearly 12 per 1,000 words, Claude 4.8 Opus uses the em dash half again as often as Moby-**** and roughly four and a half times as often as a modern human writer. If you wanted a single model to blame for the “AI loves em dashes” reputation, it isn’t the one the meme is named after. It’s this one. Because here’s the twist: GPT-4o — the model whose name became shorthand for em-dash abuse landed below the human baseline. (Big asterisk: that’s a small sample and GPT-4o is now a legacy model, so I’m treating it as provisional, not gospel.) Gemini sat politely in the middle, about twice the human rate. That spread matters more than any single number, and it quietly complicates the print-book theory. If the em dash habit were simply baked in by a shared corpus of 19th-century books, every model trained on roughly the same internet-plus-books diet should cluster around the same rate. They don’t. The training corpus may load the gun, that’s the origin story from the tokenizer experiment, but each lab’s post-training is what pulls the trigger, and they’re clearly pulling it with very different force. House style, RLHF preferences, and reward-model taste are doing more of the steering than the raw data is. Experiment 2: Does the em dash actually save tokens? One of the tidier theories floating around is that AI overuses the em dash because it’s efficient: one token instead of the three you’d spend on “, and.” It sounds plausible, and I wanted to verify it. So I opened a tokenizer and ran the connectives head-to-head, once in OpenAI’s cl100k_base encoding (GPT-3.5, GPT-4) and again in o200k_base (GPT-4o, GPT-4.1, the GPT-5 family). The shallow version of the theory is technically true: a bare em dash is a single token, and “, and” is three. But that comparison is rigged. Drop the em dash into a real sentence, and the edge collapses to almost nothing. “The model was fast — it never hesitated". → 10 tokens “The model was fast, and it never hesitated.” → 11 tokens One token saved. I tested three more clause pairs and got the same result every time: the em dash buys you exactly one token over the wordy “X, and Y” construction, and zero over a humble comma. Both are two tokens once you count the trailing space. The em dash is tied with the comma and beats only the most verbose phrasing it could replace. So efficiency cannot be the origin story. A one-token shortcut, available only against the clunkiest alternative, does not turn into a 10x usage jump between GPT-3.5 and GPT-4o on its own. If token economics were really steering the model’s hand, it would be ruthless about commas everywhere else, and it isn’t. But here’s where it stops being a dead end and gets interesting. A model trains by minimizing loss one token at a time, and it’s rewarded during RLHF for prose that reads smooth and confident. The em dash is the rare move that is both: it’s a low-surprise, high-probability continuation the model has already over-learned from its training text, and it happens to be the cheapest fluent way to weld two clauses together. A vanishingly small advantage, sure. But multiply a vanishingly small advantage across billions of training steps and a reward signal that quietly likes the result, they compound. The efficiency theory isn’t so wrong. It’s just not where the habit comes from; it’s part of why it sticks. Which means the real question of where a 10x spike comes from in the first place is still open. Whats really up with em dashes? GPT-3.5 didn’t overuse em dashes. GPT-4o used roughly 10x more. GPT-4.1 used even more than that. Anthropic’s Claude, Google’s Gemini, and even open-source Chinese models all developed the same habit. Something changed between November 2022 and July 2024. That something appears to be the training data itself. In 2022, OpenAI was likely training on a mix of public internet content and pirated books from sites like LibGen. But once everyone realized just how powerful these models could be, AI labs raced to find higher-quality training material. That meant scanning vast quantities of physical print books. Court filings reveal Anthropic began this process in February 2024, and OpenAI almost certainly did the same. Now connect that with this fact: “a study of English punctuation found em dash usage peaked around 1860”, at roughly 0.35% of all words, about 30% higher than modern usage. Pirated books skew toward modern bestsellers; that’s what people download. But when AI labs went looking for more high-quality text, they had to go further back. Older books are more likely to be in the public domain. Older books are also more likely to have been digitized for academic and archival purposes. And those older books are absolutely loaded with em dashes. For scale: Moby-**** contains a staggering 1,712 em dashes. This is the theory that actually fits the evidence: state-of-the-art models lean heavily on late-1800s and early-1900s print books for high-quality training data, and those books are saturated with em dashes. The habit is so hard to train out because the models learned English from sources that were full of them. But Why is LLM Reinforcing this? Even if the print-book theory explains the origin, several other forces are now keeping the habit alive and possibly making it worse. Em dashes feel polished: LLMs are tuned to sound authoritative and refined. Em dashes have always been a fixture of carefully edited prose like magazines, literary fiction, and journalism. OpenAI’s team has even admitted to having a soft spot for the em dash. During RLHF, human raters consistently reward outputs that feel clear and well-structured, which often means em-dash-heavy. Models can’t self-edit Human writers revise drafts. They notice they’ve used five em dashes in a paragraph and dial it back. LLMs generate text in a single pass, with no global editing perspective. They optimize locally, not holistically. Once a pattern is in the weights, it just keeps coming. The feedback Newer AI models are now training partly on the output of older AI models, either through deliberate use of synthetic data or by accidentally vacuuming up AI-generated content from the web. As more of the internet fills with em-dash-heavy AI text, the next generation of models inherits the habit more strongly. This is the early shape of what researchers call model collapse, where new models amplify the quirks of their predecessors until something breaks. For people who hate AI writing, that’s almost a feature. For the rest of us, it means AI prose might get worse before it gets better. Humans are catching the habit A study tracking em dashes in scientific abstracts found human writers more than doubled their em dash usage between 2021 and 2025. We’re not just noticing AI’s dash habit. We’re picking it up ourselves. And that material will become training data for future models, deepening the loop. The Detection Paradox Using em dashes to detect AI writing is fundamentally flawed. Em dashes have been around for generations, from Emily Dickinson to modern journalists. They’ve been used in magazines like The New Yorker. And yet, when we accuse AI of using too many em dashes, we’re essentially accusing AI of imitating good writing. Some writers are avoiding em dashes to seem more human, giving up a punctuation mark they might love just to avoid suspicion. Others are leaning deeper into them, refusing to let AI dictate their style. We’ve become a strange sort of punctuation arms race: a tiny horizontal line has somehow become a frontline for authenticity So Should You Stop Using EmDashes? Honestly, that’s your choice. You could give the em dash to bots and give up a punctuation mark you may genuinely love just to avoid being lumped with chatbots. But you could refuse. Continue to use em dashes as Dickinson and Melville and your favorite essayist always did, and hope the rest of your writing will carry the human message anyway. Because punctuation isn’t what makes writing human. What makes writing human is everything an AI can’t fake, like your specific point of view, your lived experience, your willingness to be wrong, the texture of the things you actually noticed.

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  realbetisfan69 (@realbetisfan69) reported 50 minutes ago

  @dripleafCH @BurgerLesbian when i opened reddit, to troubleshoot some niche issue of course

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  Monica P 🚀🛸🪐💜🤍💛✗ (@monipridragon12) reported 52 minutes ago

  @WolfgangRichtEU @ric40915 That’s a bunch of baloney and you know it. You didn’t ban Bluesky or Reddit. It’s proof that what you’re doing is going after American companies and the ones that you like that give your message you’re allowing even if they are full of child, pornography, and all kinds of other issues like child molesters.

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  Cypress Deep (@CypressDeep) reported 53 minutes ago

  @scott_feldt @HammerFPS_215 @nikgeneburn has literally nothing to do with in an in game problem solvable by a reddit thread god twitter is a cesspool

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  Dave Quaid - SEO (@DavidGQuaid) reported 54 minutes ago

  @LarsLofgren @ppcClickShark Yeah and if the grifter from Italy on Reddit is anything to go by, a Euro35k bone is a Eur35k bone - we dont see people on X asking people to throw people a down payment on a house or a years rent?