Skip to the arcade

100bps.wtf / ARCADE

The intern built a casino out of office supplies.

Two counters, one lumpy payout sample, and a doughnut tray on a halving schedule. Every scene leaves the result on the desk.

Toy models with fixed inputs. The punchline is about the rule, not a live result.

Filed by The Intern, Kaspa Explained.

Scene 01 / two counters

The intern installed a VIP lane at the sandwich counter.

Six orders arrive. One counter honors arrival time. The other asks who has the biggest offer, then calls that neutral.

Toy model / satire
Same six arrivals / one very confident clerk
Two service counters comparing order rules Six people bring orders to two counters. The first counter uses arrival order and the second uses the highest offer first. ARRIVAL ORDER HIGHER OFFER

First in, first served

0 / 6 served

    Waiting for arrivals.

    Highest offer first

    0 / 6 served

      Waiting for arrivals.

      Scroll into the scene. The clerk is posting the orders.

      What this leaves out: this compares ordering rules with fixed local arrivals. Real transaction selection also depends on validation, fees, block ordering, and consensus.

      Read the assumptions

      These are short local demonstrations using fixed inputs. They do not connect a wallet, move funds, read the network, or predict a live outcome.

      The preview keeps the six arrivals and their order fixed. “Highest offer first” is a small queue analogy, not a complete fee market or miner policy. The intern has been told to stop calling it a business model.

      The optional receipt records this browser demonstration. It does not prove inclusion or report a live chain result.

      Scene 02 / one fixed sample

      The intern promised a steady paycheck. The math sent a weather report.

      Working alone gives you whole wins or empty periods. Sharing the same ten percent expectation spreads a small credit across every period, which the accountant calls “predictable” while watching the solo column jump.

      Toy model / fixed sample
      Ten percent share / one accountant, two moods

      Working alone

      0 wins

      Each win is one whole result. Empty periods stay empty.

      Shared earnings

      0.00 credited

      The same ten percent share is credited a little at a time.

      Scroll into the scene. The accountant is opening both columns.

      What this leaves out: this is a fixed probability sample. It does not model electricity, hardware, fees, pool terms, or coin price.

      Read the assumptions

      At a ten percent share, the expected result is 0.10 of a period per period. The shared column receives that fraction every time; the solo column only changes on a win.

      The random stream is deterministic until you reset the optional run. The sample illustrates variance, not a mining forecast.

      Scene 03 / office doughnut delivery

      The pastry budget halves on schedule.

      At month 12, each new delivery is half the opening tray. Yesterday’s doughnuts stay on the office record while the bakery quietly sends less to the future.

      Toy model / sourced schedule
      Same office / smaller new tray / no doughnut confiscation
      New doughnuts per periodMonth 0
      036912 months
      Scroll into the scene. The bakery is measuring the next tray.

      What this leaves out: the doughnut tray is a relative picture of new issuance per period. It does not predict a date, a price, or a future network outcome.

      Read the schedule detail

      Kaspa’s new coin issuance follows this yearly halving pattern. The smooth teaching curve uses 2−month/12 over a fixed 2,629,800-second average schedule step; the actual schedule rounds its monthly values.

      New issuance and total supply are separate measurements. Read the sourced mining schedule and the Rusty Kaspa source for the implementation context.