Screen & Scams
| Selfies taken | — | -i- |
Rate: 1.076 /secWorldwide. Estimated 93 million selfies per day. Converted to selfies per second. Sources: Photutorial, Eksposure |
| Streaming hours consumed | — | -i- |
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| People arrested for what they posted online | — | -i- |
Rate: 200 /dayWorldwide. UK alone: 12,000+ arrests in 2023 (~33 per day). Global estimate from UK, Belarus, Germany, China, Turkey, Russia and others ≈ 200+ per day. Counter shows estimated arrests today. Sources: The Times, Freedom House 2024 |
| Cyberbullying victims | — | -i- |
Rate: 126 /secWorldwide. About 32.7% of youth affected per month; ~1 billion youth × 32.7% ÷ 30 days ≈ 10.9 million affected per day. Converted to per second. "Affected" refers to exposure in the given period. Sources: Cyberbullying Research Center |
| Online scam victims | — | -i- |
Rate: 65 /secWorldwide. Global scam damage ~$1.03 trillion per year; nearly 50% of consumers affected weekly (GASA/Feedzai). Rate derived from damage and victim estimates; converted to an approximate victims-per-second equivalent. Sources: GASA Global State of Scams 2024, Feedzai |
| Dating scam victims | — | -i- |
Rate: 57 /hrWorldwide. No single global count. Scaled from US FBI reported victims (17,900 in 2024) and typical underreporting (~16% report); romance scams are transnational (INTERPOL). US assumed to represent ~20–25% of global victims; converted to average per hour. Sources: FBI IC3 2024, INTERPOL |
| Romance scam money stolen | — | -i- |
Rate: 80 $/secWorldwide. No official global total. Scaled from US FTC/FBI figures ($672M–$1.16B reported); romance scam operations are transnational (INTERPOL). US assumed to represent ~25–30% of global losses; converted to average dollars per second. Sources: FTC, FBI IC3, INTERPOL |
| Ads blocked | — | -i- |
Rate: 843.750 /secWorldwide. ~912 million people use ad blockers, blocking ~80 ads per day on average ≈ 72.9 billion ads blocked per day. Converted to ads per second. Sources: Statista (ad blocking), PageFair |
Content & Media
| AI images spawned | — | -i- |
|
| TikTok videos uploaded | — | -i- |
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| YouTube hours uploaded | — | -i- |
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| AI-generated news articles | — | -i- |
Rate: 2.500 /hrWorldwide. Approx. 60,000 AI news articles per day. Converted to articles per hour. Sources: Pangram Labs, NewsCatcher |
| AI assistant requests | — | -i- |
Rate: 213.397 /minWorldwide. Usage and traffic reports from providers (ChatGPT, Claude, Gemini, Copilot, etc.). Aggregate requests per minute from published data. Sources: OpenAI, Anthropic, Google AI |
| AI hallucinations / lies | — | -i- |
Rate: 318,5 /secWorldwide. Estimated from ~299M AI requests per day × 9.2% average hallucination rate ≈ 27.5M incorrect or fabricated answers per day. Converted to per second. Hallucination rates vary by model and task. Sources: Vectara Hallucination Leaderboard 2025 |
| Money lost to AI hallucinations | — | -i- |
Rate: 2.130 $/secWorldwide. Forrester Research 2024: global losses from AI hallucinations estimated at $67.4B in 2024. Converted to an average per second (~$184M per day). Sources: Forrester Research 2024 |
| Hours wasted double-checking AI | — | -i- |
Rate: 7.111 hrs/secWorldwide. Microsoft 2025: knowledge workers spend ~4.3 hours per week fact-checking AI output. Scaled to ~1B knowledge workers globally. Converted to hours per second (~614M hours per day). Sources: Microsoft 2025 |
| Deepfakes unleashed | — | -i- |
Rate: 57 /hrWorldwide. Extrapolation from reports on deepfake volumes (e.g. hundreds of thousands on social media per year). No official per-hour figure. |
| Fake reviews posted | — | -i- |
Rate: 19.400 /hrWorldwide. Platform transparency reports (e.g. over 170 million fake reviews removed in 2023). Converted to reviews per hour. Sources: Fakespot |
| Fake news shared | — | -i- |
Rate: 3.000.000.000 /dayWorldwide. DemandSage/Statista 2024: ~40% of all social media posts are false or misleading; ~7.5 billion posts per day × 40% ≈ 3 billion fake posts per day. Counter shows estimated fake news posts shared per day. — Fake news spreads 6× faster than truth (MIT study in Science): false news reaches 1,500 people about six times faster than true news on social platforms. Sources: DemandSage, Statista 2024, Science (MIT) |
| Songs uploaded that nobody will ever hear | — | -i- |
Rate: 100.000 /dayWorldwide. Luminate/Spotify 2024: ~100,000 songs uploaded to Spotify per day; over 50 million tracks on the platform have zero plays. Most new uploads will never be heard. Counter shows estimated daily uploads that effectively join the unheard majority. Sources: Luminate, Spotify 2024 |
| New artists joining Spotify today | — | -i- |
Rate: 4.600 /dayWorldwide. Spotify Statistics 2024: ~4,600 new artists (first-time distributors) join Spotify per day. Counter shows estimated new artists debuting on the platform per day. Sources: Spotify Statistics 2024 |
Attention & Time
| Average human attention span | — | -i- |
Rate: 8.25 sec (2024); was 12 sec in 2000Worldwide. Average attention span in 2024 is about 8.25 seconds (down from 12 seconds in 2000). Goldfish are often cited at ~9 seconds. This is a reference value, not a live counter. Sources: Microsoft Research, Amra & Elma 2024 |
| Ads seen (per person) | — | -i- |
Rate: 0,08 /secPer person. Estimates of 4,000–10,000 ad exposures per person per day (Digital Silk, Colorlib 2024). Midpoint ~7,000 per day; counter shows how many ads the average person has been exposed to so far today. Sources: Digital Silk, Colorlib |
| Time spent on social media (per person) | — | -i- |
Rate: 138 min/dayPer person. DataReportal/Statusbrew 2024: ~2.3 hours (~138 min) per day per social media user. Counter shows minutes the average user has spent on social media so far today. Sources: DataReportal, Statusbrew |
| Time spent with a friend (per person) | — | -i- |
Rate: 30 min/dayPer person. US BLS American Time Use (2024): ~30 min per day with friends, neighbors, and acquaintances. Global estimate based on OECD-style time-use data; figures vary by country. Counter shows minutes the average person has spent with friends so far today. Sources: BLS American Time Use, Our World in Data |
Society & Work
| Couples married who met online | — | -i- |
Rate: 82.200 /dayWorldwide. U.S. data (PNAS 2024, The Knot 2025): ~2.4M marriages/year, 60% met online. Scaled to global ~50M marriages/year; applying similar share gives ~30M couples per year who met online ≈ 82,200 per day. Counter shows estimated worldwide couples marrying per day who met via dating apps or online. Sources: PNAS 2024, The Knot 2025 |
| Jobs gained because of machines | — | -i- |
Rate: 1,2 /minNew roles linked to automation and technology, worldwide. Based on recent reported hiring and labour data (e.g. new roles in AI, data, tech) from multiple regions; scaled to a global average per minute. No single official global count exists; this uses current survey and employment figures. Sources: BLS Employment |
| Jobs lost because of machines | — | -i- |
Rate: 20 /minDisplacement linked to automation and technology, worldwide. Based on official displacement data (e.g. BLS: 6.3 million displaced in the U.S. over 2021-2023) scaled to global labour markets; the share attributable to automation is not officially broken down, so the rate uses conservative estimates. Converted to a global average per minute. Sources: BLS Displaced Workers |
| New robots replacing humans | — | -i- |
Rate: 62 /hrWorldwide. IFR World Robotics Report 2025: 542,076 industrial robots installed in 2024 (second highest year on record). Converted to average installations per hour. Sources: IFR World Robotics 2025 |
| Jobs taken by robots | — | -i- |
Rate: 228 /hrWorldwide. WEF Future of Jobs Report 2025: projected 20 million jobs displaced by automation by 2030. Rate is an average over the period to 2030; this is a projection, not observed current data. Sources: WEF Future of Jobs 2025 |
Digital distractions & road safety
| Deaths due to digital distractions | — | -i- |
|
| Accidents due to digital distractions | — | -i- |
Rate: 370 /hrPeople injured in crashes linked to digital distractions (e.g. texting, scrolling), worldwide. Rate scaled from NHTSA U.S. data (about 325,000 injured per year) to global population and road traffic; many countries underreport. Converted to a worldwide average per hour. Sources: NHTSA – Distracted Driving in 2023 |
| Crashes caused by 'safe' self-driving cars | — | -i- |
Rate: 2 /dayU.S. only. NHTSA 2025: 570 crashes involving automated driving systems reported between June 2024 and March 2025 ≈ 63 per month, ~2 per day. Counter shows estimated crashes per day; reporting is mandatory for SAE Level 2+ systems. Sources: NHTSA 2025 |
Security & Privacy
| Phishing emails launched | — | -i- |
Rate: 39351,9 /secWorldwide. Phishing (fraudulent emails and messages designed to steal credentials or money) is measured in billions of messages per year by security vendors and observatories. The "per second" rate is derived from annual totals. Campaigns are automated and global; volumes spike around events and holidays. The figure is an average; actual rates vary. Converted to emails per second. Sources: APWG |
| Cookie banner clicks (EU) | — | -i- |
Rate: 218.697 /minEU only. 575 million hours EU/year in consent interactions. Converted to clicks per minute from published traffic data. Sources: Legiscope |
Environment & Energy
| Electronic waste thrown away | — | -i- |
Rate: 1966,5 kg/secWorldwide. E-waste (discarded electronics: phones, computers, screens, appliances) is tracked in millions of tonnes per year globally. The "kg per second" value is the annual total converted to a continuous rate. Only a fraction is collected and recycled; the rest is landfilled, incinerated, or informally processed, with serious environmental and health impacts. 62 million tonnes e-waste in 2022. Only 22.3% documented as recycled. Converted to kg per second. Sources: UN Global E-waste Monitor, ITU E-waste |
| Gold thrown away with e-waste | — | -i- |
Rate: 0,02 kg/secWorldwide. Approx. 500 tonnes of gold per year in the e-waste stream. Monitor 2024: value of recoverable materials approx. $15 billion USD. Sources: UN Global E-waste Monitor |
| Sand harvested for your devices | — | -i- |
Rate: 26.300 t/dayWorldwide. Silicon for electronics (chips, solar, phones) is produced from silica/quartz (high-purity sand). USGS/Statista: ~9 Mt silicon produced 2023; ~50% for electronics ≈ 4.5 Mt Si/year. Stoichiometric conversion SiO₂→Si (mass ratio ~2.14:1) gives ~9.6 Mt silica (sand) per year ≈ 26,300 t/day. Counter shows sand equivalent harvested for electronics. Sources: US Geological Survey, Statista 2024 |
| Power data centers burn | — | -i- |
Rate: 57.120.000.000 iPhone charges/minWorldwide. Data centers use roughly 1–2% of global electricity (streaming, cloud, AI, etc.). The "household-days per minute" figure converts that continuous draw into equivalent average household consumption. It illustrates the hidden energy cost of the digital infrastructure we rely on. Shown as equivalent full iPhone charges: 1 household-day ≈ 30 kWh ≈ 2,400 charges. Sources: EIA, ENERGY STAR |
| Water consumed by data centers | — | -i- |
Rate: 120.000.000.000 L/dayWorldwide. FDM Group 2024: large data centers use an estimated 11–19 million liters of water per day each (cooling, etc.). With ~8,000 large data centers globally, total estimated at ~120 billion liters per day. Counter shows estimated daily water consumption by data centers. Sources: FDM Group 2024 |
Digital Life
| Emails nobody ever opened | — | -i- |
Rate: 1.523.148 /secWorldwide. Billions of emails are sent every day; a large share are never read (e.g. ~35% unread in some studies). The "per second" rate is an extrapolation: daily unread volume distributed over the day. It reflects the sheer accumulation of digital communication and storage. Converted to unread emails per second. Sources: Statista (email) |
| Phones plugged in to charge | — | -i- |
Rate: 4.166.667 /minWorldwide. With billions of smartphones in use globally, the number of times users plug in to charge each day is enormous. The "per minute" rate is derived from device count and typical charging frequency (e.g. about once per day per device). It highlights the scale of everyday digital behavior. Converted to charge sessions per minute. Sources: Statista (smartphones) |
| People using the internet for the first time | — | -i- |
Rate: 265.000 /dayWorldwide. DataReportal 2024: ~265,000 people go online for the first time each day. Counter shows estimated new internet users per day. Sources: DataReportal 2024 |
Infrastructure
| Global data traffic | — | -i- |
Rate: 2,5 TB/secGlobal IP traffic (fixed and mobile internet, including video, cloud, and IoT) is measured in exabytes per year by telecom and research firms. The “terabytes per second” value is an extrapolation from annual reports: total annual traffic is converted to a per-second average. Traffic is dominated by video and streaming and continues to grow. Converted to terabytes per second. Sources: Cisco VNI, DE-CIX, Cloudflare |
| New web pages / subpages online | — | -i- |
Rate: 870 /minWorldwide. New pages, subpages and hostnames coming online (e.g. Netcraft survey: new sites/hostnames added to the index). Not the same as new domain registrations – domains that expire are counted under "Websites that currently die". Approx. 870 new pages/sites per minute. Sources: VeriSign, Hostinger, Netcraft |
| Hard drives that died | — | -i- |
Rate: 150 /minWorldwide. Hard drives have a measurable annual failure rate (AFR). Backblaze and others publish drive stats from large populations; failure rates depend on model, age, and workload. The “failures per minute” figure is an extrapolation: global installed base of drives × typical AFR, then converted to a per-minute rate. It illustrates that failure is routine at scale and why backups and redundancy matter. Extrapolated from global installed drive base to failures per minute. Sources: Backblaze Drive Stats |
| New surveillance cameras installed | — | -i- |
Rate: 3 /secWorldwide. Tens of millions of surveillance cameras are sold worldwide each year (e.g. ~98 million per year in recent estimates). The “per second” rate is that annual figure converted to a continuous flow. It includes consumer, commercial, and government deployments. The growth of video surveillance raises privacy and security questions. Converted to cameras per second. Sources: Statista (surveillance) |
| Smart speakers shipped (always listening) | — | -i- |
Rate: 380 /minWorldwide. Hundreds of millions of smart speakers and voice assistants (Alexa, Google Home, etc.) have been shipped. The “per minute” rate is derived from annual shipment figures. Many are always-on or frequently listening for wake words, which has sparked debate about privacy and “always listening” devices. Converted to devices shipped per minute. Sources: Statista (smart speakers) |
Odd & Unexpected
| Confirmed aliens on Earth | — | -i- |
Rate: 0 /secAccording to current scientific consensus, no confirmed extraterrestrial life has been detected. Sources: NASA Astrobiology |
| Unconfirmed UFO sightings | — | -i- |
Rate: 2,5 /hrWorldwide. Reports submitted to reporting centers, not verified events. Unverified reports of unidentified flying objects or UAP. Rate scaled from NUFORC/MUFON U.S. reporting volumes to a global estimate (many countries underreport). Converted to an average per hour. Sources: NUFORC, MUFON |
| Websites that currently die | — | -i- |
Rate: 100.000 /dayWorldwide. Domain expirations (non-renewals) as proxy for sites going offline. DNIB Q4 2024: ~364M domain registrations; .com and .net combined renewal rate 73.9% → 26.1% of domains up for renewal are not renewed. Scaled across TLDs, estimated 100,000+ domain expirations per day. Counter shows estimated sites/domains going offline per day. Sources: Domain Name Industry Brief (DNIB), Website Rating 2024 |
Data sources: Amra & Elma 2024, Anthropic, APWG, Backblaze Drive Stats, BLS American Time Use, BLS Displaced Workers, BLS Employment, Cisco VNI, Cloudflare, Colorlib, Cornell, Cyberbullying Research Center, DataReportal, DemandSage, DE-CIX, Digital Silk, Domain Name Industry Brief (DNIB), EIA, Eksposure, ENERGY STAR, Everypixel, FDM Group 2024, Fakespot, FBI IC3 2024, Feedzai, Forrester Research 2024, Freedom House 2024, FTC, G2, GASA Global State of Scams 2024, Google AI, Hostinger, IFR World Robotics 2025, INTERPOL, ITU E-waste, Legiscope, Luminate, Microsoft Research, Microsoft 2025, Music Business Worldwide 2024, MUFON, NASA Astrobiology, Netcraft, NewsCatcher, NHTSA, NUFORC, OpenAI, Our World in Data, PageFair, Pangram Labs, Photutorial, PNAS 2024, Science (MIT), Social Rails, Spotify 2024, Statista, Statusbrew, The Knot 2025, The Times, UN Global E-waste Monitor, US Geological Survey, Vectara Hallucination Leaderboard 2025, VeriSign, Website Rating 2024, WEF Future of Jobs 2025, WHO, YouTube
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