Quick wins for a faster PC:
Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →In a first-person article published September 30, 2026 on DEV Community, developer Tushar Agarwal reports that the judges in a fixture he calls DOGFOOD 2026 agreed no better than chance. Before designing his results page, he measured how consistently judges scored the same projects. He got an ICC(1) of -0.006, and a permutation test with 2,000 shuffles returned p = 0.504. A ranking built from those scores would still have looked definitive, and that gap between certainty and evidence is the problem his lessons address. He was building Quorum, a self-hosted hackathon judging platform, and his response is to show uncertainty, settle tie rules in advance, and record organizer decisions instead of manufacturing confidence.
What the low-agreement number measured
The fixture contained 41 submissions, one of them a duplicate, scored by 30 judges. Those judges produced 123 reviews across 8 tracks. These are the author’s counts for that fixture.
As an Amazon Associate I earn from qualifying purchases.
| Item | Count in the fixture |
|---|---|
| Submissions | 41 (including one duplicate) |
| Judges | 30 |
| Reviews | 123 |
| Tracks | 8 |
ICC(1), the intraclass correlation, estimates how much of the variation in scores comes from differences between projects rather than from who did the scoring. A value near zero means judges disagree about the same project about as much as they differ across different projects, so a large share of each score reflects the individual judge or noise. The author’s value of -0.006 is effectively zero. Negative values can arise from sampling noise and are read as no agreement. The permutation test asks whether that level of agreement is unusual compared with shuffled scores. At p = 0.504, the observed agreement was no more unusual than what shuffling produced. The author’s conclusion is that judges agreed no better than chance in this fixture.
Recommended Free Tools
This is one measurement from one event. It does not show how judges at other hackathons agree.
#1 Best Overall
- Read Before You Buy — No Video Output: These adapters support charging and USB 2.0 data transfer, but cannot transmit video signals. Except for standard USB webcams (which use USB data only), they are not compatible with HDMI/DisplayPort cables, video-capable USB-C hubs, or docking stations with video output.
- Convert USB-A Ports to USB-C: Designed to connect USB-C earphones, cables, flash drives, card readers, and other USB-C accessories to standard USB-A ports. Plug-and-play with no drivers or software required.
- Aluminum Alloy Housing: Built with a sturdy aluminum alloy shell that aids in heat dissipation and protects against daily wear and scratches. Designed to maintain a stable and secure connection.
- Compact & Travel-Friendly: The ultra-compact design allows the adapter to stay plugged into your device without blocking adjacent ports or adding bulk, reducing wear and tear on your original USB ports.
- 12-Month Warranty: Backed by a 12-month manufacturer warranty for peace of mind. Designed to meet strict quality control standards for reliable everyday performance.
Lesson 1: Judge isolation is the security core
The author states the principle directly: “The security core of a judging platform is judge isolation: a judge must never see another judge’s scores.”
Enforce access in routes, repositories, and the database
Quorum uses explicit route policies and scoped repository functions for score access. The aim is a small, reviewable set of code paths that can read scores. Database triggers then enforce invariants that application code should not be able to break. The audit log is append-only and hash-chained, ranking runs are immutable once created, scores must fall within set bounds, and changes are frozen once a deadline passes.
Why the design avoids row-level security for scoring
Row-level security (RLS) limits which rows a database role can see. The author’s concern is with calculations that span judges. If an aggregate runs under a role that sees only one judge’s rows, the filter can silently drop the other judges’ scores. The query still returns a number, and that number looks plausible but is wrong. This is the author’s rationale for his architecture, not a general rule against RLS. The trade-off is that isolation then depends on application-layer policy and on tests that check it.
Free tools Windows power users keep installed
One-click scans. No signup required.
How to check that isolation holds
The article answers the question “How do I know isolation holds?” with three checks. The first is an authorization matrix that lists which roles may reach which data. The second is a canary crawl, which looks for data that a given role should not be able to see. The third is a live cross-role probe run against the running system. Results from these checks are covered in the testing section below.
Rank #2
- 5-in-1 USB-C Hub: Experience comprehensive connectivity featuring a Power Delivery input, two USB-A 2.0 ports, a USB-A 3.0 port, and an HDMI port. (Note: The USB-C power delivery input port is only for connecting an external wall charger to power your laptop and cannot power peripheral devices.)
- 90W Pass-Through Charging: Achieve optimal charging with 90W pass-through power to your laptop, supported by a total input of 100W, with the hub reserving 10W for operational efficiency. (Note: Wall charger not included.)
- Quick Data Transfers: Accelerate your productivity with rapid data transfers using a high-speed 5Gbps USB 3.0 port and two 480Mbps USB 2.0 ports.
- 4K HDMI Display: Enhance your visual experience with a hub capable of delivering 4K resolution at 30Hz in both mirror and extend modes. Please note that this hub is compatible with MacBook (macOS 12 and newer), Windows 10 and 11, ChromeOS, and laptops equipped with DP Alt Mode and Power Delivery. Note: This device is not compatible with Linux.
- What You Get: Anker USB-C Hub (5-in-1, 4K HDMI), welcome guide, 18-month warranty, and our friendly customer service.
Lesson 2: Per-judge z-scores fail in small, uneven panels
A common fix for judges who score at different levels is per-judge z-score normalization. Each judge’s mean is subtracted from their scores and the result is divided by their standard deviation, so a harsh judge’s 6 and a generous judge’s 9 can be compared on a common scale. The author found that this breaks on his fixture in three ways.
- One judge gave every project the same score. Their standard deviation is zero, so every z score they produced is undefined.
- Two judges had only one review each. A single score has no standard deviation, so their z scores are undefined as well.
- With few reviews, z scores can erase real differences. They also confound a judge’s severity with the quality of the batch of projects that judge happened to see.
What the simulation found
The author built a simulation based on the fixture’s assignment design. At a moderate spread in judge leniency, z scores picked the true winner 23% of the time, compared with 29% for raw averages. These are the author’s simulation results, not an independent benchmark.
| Scoring method | True winner selected (moderate judge-leniency spread, author’s simulation) |
|---|---|
| Per-judge z scores | 23% |
| Raw averages | 29% |
The replacement: a random-effects model
Quorum instead uses a random-effects model in which each judge’s leniency is an offset shrunk toward zero. REML (restricted maximum likelihood) estimates how much shrinkage to apply. Shrinkage toward zero limits how far any one judge’s offset can move a project’s score, which matters most for judges with few reviews. The author reports gains in Kendall tau, a measure of how closely a ranking matches the true ordering, in the same simulation.
| Judge-leniency spread | Reported gain in Kendall tau |
|---|---|
| 0.4 | +0.018 |
| 0.8 | +0.070 |
The reported gain is larger at the wider spread.
Lesson 3: Assignment design limits what calibration can recover
Calibration can only separate judge leniency from project quality if the assignments connect judges to one another. If a group of projects is always reviewed by the same panel, normalization alone cannot tell whether the panel is lenient or the group is strong. The author summarizes the point this way: “Your assignment algorithm is part of your scoring algorithm.”
Rank #3
- Sleek 7-in-1 USB-C Hub: Features an HDMI port, two USB-A 3.0 ports, and a USB-C data port, each providing 5Gbps transfer speeds. It also includes a USB-C PD input port for charging up to 100W and dual SD and TF card slots, all in a compact design.
- Flawless 4K@60Hz Video with HDMI: Delivers exceptional clarity and smoothness with its 4K@60Hz HDMI port, making it ideal for high-definition presentations and entertainment. (Note: Only the HDMI port supports video projection; the USB-C port is for data transfer only.)
- Double Up on Efficiency: The two USB-A 3.0 ports and a USB-C port support a fast 5Gbps data rate, significantly boosting your transfer speeds and improving productivity.
- Fast and Reliable 85W Charging: Offers high-capacity, speedy charging for laptops up to 85W, so you spend less time tethered to an outlet and more time being productive.
- What You Get: Anker USB-C Hub (7-in-1), welcome guide, 18-month warranty, and our friendly customer service.
In his simulations, separate panels produced zero gain from calibration. Overlapping batches produced +0.036.
| Assignment design | Reported gain from calibration (author’s simulation) |
|---|---|
| Separate panels for project groups | 0 |
| Overlapping batches | +0.036 |
What the planner does about it
Quorum’s assignment planner aims to maximize overlap between judges and project batches. It also displays judge connectivity, so an organizer can see whether all judges form one connected network or split into clusters that cannot be calibrated against each other.
Lesson 4: Spend extra reviews where the prizes are close
The first version of the focus-round planner considered only the overall podium. The fixture also had a Best in Track prize in each of its 8 tracks, so track results needed the same scrutiny. The revised planner directs review effort to uncertainty around either the overall prizes or the track prizes.
The Tool Desk
Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →Resolving a boundary that stays unresolved
When projects on a prize boundary remain too close to separate, the article’s procedure runs in this order:
Rank #4
- Dual Converters, Infinite Potential：Includes 2× USB C male to USB A female adapters and 2× USB A male to USB C female adapters. Perfect for a wide range of uses—tablets with Bluetooth keyboards, expand USB ports on macbook, and more. Two different converters for all your daily needs
- Next-Level 10Gbps & 3A Charging: No more slow 480Mbps, this usb to usb c adapter has a transfer speed of up to 10Gbps, allowing you to do more transferring in less time. This usb adapter fits both USB A and USB C charger, supporting up to 3A fast charging
- Upgraded Exquisite Craftsmanship: With an aluminum alloy housing and metal connector, the usbc to usb adapter is extremely durable and sturdy. Rigorously tested to withstand more than 10,000 times of plugging and unplugging, ensuring long-lasting performance
- Broad Compatible: The usb c to usb adapter widely supports all USB C/ USB A devices like laptops, tablets, cellphones, car chargers, and phone chargers. Such as compatible with MacBook Pro/Air 2023/2022, Thunderbolt 4/3 Devices,Apple MagSafe Watch 9/8/7/SE/Ultra, iPad Pro 2022/2021, Samsung Galaxy S23/S20/S10, and iPhone 17/16/15 Pro. Plug and play
- Please Note: To reach 10Gbps speed, keep the cable under 3.3 ft. For USB A Male to USB C adapters, try flipping the USB C connector. USB C Male to USB A adapters support bidirectional 10Gbps transfer within 3.3 ft
- Tie rules are defined in advance, before judging begins, rather than chosen after the scores are in.
- A pre-defined head-to-head round is judged by three judges who have no conflict with any of the projects involved.
- If the head-to-head still does not separate the projects, the organizer makes a decision and records it in writing in the log.
Operations: container limits, proxies, and migrations
Size worker pools to the container
The author found that os.cpu_count() reported the host’s processor count rather than the limits of the container the platform runs in. Sizing workers from that number risks starting too many of them in a container with a 1 GB memory limit. Memory is the constraint here. In his deployment, a worker used about 85 MB while idle and about 170 MB with the local model loaded. These are measurements from his own deployment, not general benchmarks.
Trust only the proxy hop you control
Behind a reverse proxy, the application sees the proxy’s address and relies on forwarding headers to learn the client’s address. The author describes two rules for this setup:
- Guard the metrics pages whenever forwarding headers are present.
- Trust only the rightmost forwarded hop that is not the platform’s own proxy. Each proxy appends the address it received the request from, so the rightmost entries are added by infrastructure you control. Leftmost entries can be supplied by the client and cannot be trusted.
Serialize migrations across replicas
When several replicas start together, each could attempt the same schema migration. The author uses a Postgres advisory lock so that migrations are applied one replica at a time.
Windows Errors? Fix Them Before They Spread
Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallOutdated Drivers Are Slowing You Down
One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchTesting offline claims and refusals
Test offline operation under real isolation
Quorum’s offline check runs inside a Docker network marked internal. Before it runs the stated checkers and an isolation probe, the check first verifies that the network cannot reach the internet. The local AI model ships inside the image, so the check does not depend on a download at run time.
Best Value
- 5-in-1 Connectivity: Equipped with a 4K HDMI port, a 5 Gbps USB-C data port, two 5 Gbps USB-A ports, and a USB C 100W PD-IN port. Note: The USB C 100W PD-IN port supports only charging and does not support data transfer devices such as headphones or speakers.
- Powerful Pass-Through Charging: Supports up to 85W pass-through charging so you can power up your laptop while you use the hub. Note: Pass-through charging requires a charger (not included). Note: To achieve full power for iPad, we recommend using a 45W wall charger.
- Transfer Files in Seconds: Move files to and from your laptop at speeds of up to 5 Gbps via the USB-C and USB-A data ports. Note: The USB C 5Gbps Data port does not support video output.
- HD Display: Connect to the HDMI port to stream or mirror content to an external monitor in resolutions of up to 4K@30Hz. Note: The USB-C ports do not support video output.
- What You Get: Anker 332 USB-C Hub (5-in-1), welcome guide, our worry-free 18-month warranty, and friendly customer service.
Test what a refusal says
For late submissions, the article’s order of checks is:
- Authenticate the caller.
- Check the caller’s role and the submission deadline.
- Validate the input.
Running the deadline check before input validation means a late submission receives the deadline refusal. Content also freezes after the close, and a refusal must not reveal whether a given judge ID exists. A status code can match while the message still leaks information, which is why the author writes: “test what a refusal says, not only its status code.”
The reported test results
The author reports the figures below from his own test runs. They have not been reproduced by an independent party.
| Check | Reported result |
|---|---|
| Checker results | 7/7 and 21/21 |
| Tests run against a real Postgres database | 188 |
| Cross-role probes | 344, with zero leaks reported |
| Load test | 300 voters across 3 replicas, zero lost votes reported |
Keeping the AI assistant out of scoring
Quorum’s assistant runs a 23 MB sentence-embedding model locally on CPU. Its job is to select among 15 named skills, not to generate factual answers or scores. Each skill runs its queries through permission checks, so the assistant works within what the requesting user is already allowed to see. A judge who asks who is winning receives no answer, because standings are not something the assistant reports. A feedback coach checks whether a written review contains concrete next steps and covers the scoring criteria, without assigning a score to the review.
Quick Recap
“
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
