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Make math videos! | Summer of Math Exposition announcement thumbnail

Make math videos! | Summer of Math Exposition announcement

3Blue1Brown·
5 min read

Based on 3Blue1Brown's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

The Summer of Math Exposition accepts new math explainers (video, blog, interactive games, etc.) submitted by August 22nd, with winners later featured in a 3Blue1Brown video.

Briefing

A new contest called the “Summer of Math Exposition” is inviting people to publish fresh math explainers online—videos, blog posts, interactive games, or other formats—by August 22nd, with winners selected afterward for featuring in a 3Blue1Brown video and broader distribution via a playlist and website links. The core goal is simple but pointed: expand the amount of high-quality math explanation on the internet and lower the barrier for newcomers who have ideas but haven’t started making them. The prize is mainly visibility, not swag, though there’s a playful mention of custom “gold plushie pie creatures” as a possible extra.

Entries must be new work created between now and the deadline, not older projects being reposted. The subject matter can be “math in the broadest possible sense,” including physics or computer science as long as the explanation leans into the mathematical components—formulas, algorithmic complexity, and similar tools are encouraged rather than avoided. Beyond topic freedom, the contest explicitly rewards explanations that fill gaps: under-covered angles, better state-of-the-art teaching approaches, or more memorable ways to present standard material. Examples range from philosophical discussion of Conway’s freewheel theorem to using Kolmogorov complexity to talk about distributions of primes, as well as improved teaching methods for partial fraction decomposition or visualization approaches for trig identities.

Teachers and lecturers are singled out as especially valuable participants because classroom-tested explanations often remain offline. The pitch is that moving those lessons online could reach “one to two orders of magnitude” more people. A suggested path for busy educators is partnership: pair instructors’ learning instincts with students or others who have time and energy to produce online content.

The announcement then pivots into practical guidance for would-be explainer-makers who feel stuck at the starting line. The most repeated lesson from a new 3Blue1Brown podcast—built around conversations with people experienced in outreach—is that the universal advice is to start, even if the setup is messy and the first attempts are awkward. Early production choices often look unprofessional in hindsight: sound quality, editing tools, and even basic filming habits can be rough. The message is not perfectionism but momentum—press record, begin, and iterate.

For math explainers specifically, several content-first principles follow. Explanations should respect layers of abstraction, ideally moving from concrete examples to the abstract symbols and rules learners will manipulate. “Content is king” is treated as the dominant driver of quality: topic choice and freshness matter more than lighting, animation polish, or production effects, though production quality still matters enough to avoid unnecessary friction—especially audio clarity.

Finally, the guidance encourages creators to choose a genre that fits their strengths, whether it’s distanced “narrator on a hill” exposition requiring deep mastery, discovery-style narration that admits learning in real time, worked examples, or demo-driven inspiration. Definitions should feel motivated rather than arbitrary, and visuals should clarify the math rather than decorate it. The announcement also points to tools and communities—Manum for programmatic animations (and a more user-friendly fork by the Manum Community), plus shader experimentation via smoothstep.io—while emphasizing that simpler tools like PowerPoint or whiteboard-style animation can work when they serve understanding.

To support participants, a Discord space is set up for feedback and community engagement, with an explicit request for encouraging, constructive participation. The podcast launches with Alex Kontorovich and later features Sal Khan, with a broader intent: inspiration and practical insight for people trying to begin explaining math online.

Cornell Notes

The Summer of Math Exposition invites new math explainers—videos, blogs, interactive games, and more—to be submitted by August 22nd for selection and later featuring on 3Blue1Brown. Work must be created between now and the deadline, and math can include physics or computer science as long as the explanation uses mathematical ideas like formulas or algorithmic complexity. The announcement argues that the biggest barrier is starting, not having expertise, and it urges creators to begin with imperfect tools and iterate. For math-specific teaching, it recommends structuring explanations from concrete examples to abstract symbols, choosing a genre that matches the creator’s strengths, and ensuring definitions feel motivated rather than arbitrary. Content quality and freshness are treated as the primary determinant of value, with audio and visuals supporting comprehension rather than replacing it.

What are the submission rules and what kinds of projects qualify?

Submissions must be new work made between now and August 22nd; reposting an older project doesn’t count. The topic must be math in a broad sense, including physics or computer science, as long as the explanation has mathy components (e.g., relevant formulas or algorithmic complexity). Formats are flexible: video, blog post, or interactive game are all acceptable as long as the project explains math online.

Why does the contest emphasize “fresh” explanations rather than widely covered topics?

The contest aims to add value where online explanations are weak or missing. That can mean introducing a less-covered angle (like philosophical discussion of Conway’s freewheel theorem or using Kolmogorov complexity to describe prime distributions) or improving how standard material is taught (like making partial fraction decomposition more memorable or visualizing trig identities to reduce rote memorization). Even familiar topics are welcome if the approach is meaningfully better.

How does the guidance address the fear of starting from scratch?

A recurring theme from outreach conversations is that early setups are often ramshackle: sound quality can be poor, editing tools may be clunky, and filming can feel awkward. The practical advice is to start anyway—press record and begin—because the difference between people who publish and people who don’t is framed as a generative urge to make, not a prerequisite level of technical polish.

What does “layers of abstraction” mean for math explanations, and how should creators use it?

Math expressions connect concrete meaning to symbolic rules. For example, “two-thirds plus one-fifth” can be understood first as portions of a cake (concrete layer), then as symbols governed by rules (abstract layer). The recommendation is to structure explanations from concrete to abstract so learners build internal patterns before formal definitions and manipulations arrive.

What does “content is king” imply for production choices?

Topic choice and how fresh or useful the explanation is determine most of the value. Production polish—animations, lighting, fancy visuals—comes second. Still, basic production quality matters: clear audio is treated as especially important, and visuals should concretize ideas rather than distract or add flash without learning benefit.

How should creators decide what “genre” of explainer to use?

Creators are encouraged to pick a genre that matches their strengths and comfort level. Options include: distanced exposition that requires deep mastery; discovery journalism where the learner’s journey is explicit; worked examples that help with homework; and demo-first approaches meant to inspire. The key is to avoid copying techniques from genres that don’t fit math learning (e.g., treating math like a firehose of information).

Review Questions

  1. What constraints does the contest place on timing and originality, and how does it define acceptable “math” topics?
  2. How should a math explainer typically move between concrete examples and abstract symbols, and why?
  3. Which factors are treated as primary versus secondary when judging the quality of a math explanation?

Key Points

  1. 1

    The Summer of Math Exposition accepts new math explainers (video, blog, interactive games, etc.) submitted by August 22nd, with winners later featured in a 3Blue1Brown video.

  2. 2

    Entries must be created between now and the deadline; older projects can’t be submitted as-is.

  3. 3

    “Math” includes physics and computer science when the explanation uses mathematical components like formulas or algorithmic complexity.

  4. 4

    Teachers and lecturers are encouraged to participate, and partnerships with students or other producers are suggested to overcome time constraints.

  5. 5

    Creators who feel stuck should start imperfectly—publishing early is framed as more important than having ideal equipment or a fully polished setup.

  6. 6

    Math explanations should respect layers of abstraction, typically building from concrete examples to abstract definitions and symbolic rules.

  7. 7

    Quality depends most on content freshness and clarity; audio quality and visuals should support understanding rather than replace it.

Highlights

The contest’s main prize is visibility: selected projects get featured in a 3Blue1Brown video and then compiled into a playlist and website links.
A central teaching principle is moving from concrete meaning to abstract symbols so learners’ brains can form patterns before formal rules arrive.
The guidance treats “content is king”: topic choice and freshness drive most of the value, while production polish is secondary—especially after ensuring clear sound.
Creators are urged to choose an explainer genre (discovery, worked examples, distanced exposition, demos) that fits their strengths instead of copying what works in other formats.

Topics

  • Math Explainer Contest
  • Teaching Abstraction
  • Content Strategy
  • Explainer Genres
  • Production Quality

Mentioned