Justin Tracey✓

Mastodon @j3tracey@ftp.crysp.org

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After doing a best fit, we found #Rust projects were less likely to introduce vulnerabilities than their equivalent #C++ projects at all relevant experience levels, but more importantly, we found the effect was most significant for first-time contributors, who were almost two orders of magnitude less likely to contribute vulnerabilities. That is, even though Rust may have a reputation as a harder

126 views After doing a best fit, we found #Rust projects were less likely to introduce vulnerabilities than their equivalent #C++ projects at all relevant experience levels, but more importantly, we found the effect was most significant for first-time contributors, who were almost two orders of magnitude less likely to contribute vulnerabilities. That is, even though Rust may have a reputation as a harder

The next obvious question is, does the lower chance of vulnerabilities actually lead to more newbie contributors in these projects, or is this effect just an artifact of Rust selecting for contributors already experienced with these projects? While we can't establish causality, we do see that there are more low-experience #Rust contributors than there were low-experience #C++ contributors for thes

10 views The next obvious question is, does the lower chance of vulnerabilities actually lead to more newbie contributors in these projects, or is this effect just an artifact of Rust selecting for contributors already experienced with these projects? While we can't establish causality, we do see that there are more low-experience #Rust contributors than there were low-experience #C++ contributors for thes

Once we know the commits that introduced vulnerabilities, the next question is how to use that information to estimate the rate new contributors add vulnerabilities. To do that, we tried something new: using learning curves to compare programming languages.
Learning curves are fairly old at this point, and commonly used in a lot of fields (mainly psychology and economics). They're a pretty simple

3 views Once we know the commits that introduced vulnerabilities, the next question is how to use that information to estimate the rate new contributors add vulnerabilities. To do that, we tried something new: using learning curves to compare programming languages. Learning curves are fairly old at this point, and commonly used in a lot of fields (mainly psychology and economics). They're a pretty simple

1 views Photo post

📊 Post engagement

Avg engagement / post

24.3%

Engagement vs followers

Nov 2022

On Mastodon since

🔥 Top post: After doing a best fit, we found #Rust projects were less likely · 126 likes + reposts

📊 Activity & format

Posting cadence

0.08 / week

A lower-frequency account — each post lands with more weight.

Content mix

Mostly text

Recent: 8 text · 4 image · 0 video.

Follower / following

0.4×

Follows 190 back. A more reciprocal / networked account.

Recent posts

View on Mastodon ↗

🔥 Top post After doing a best fit, we found #Rust projects were less likely to introduce vulnerabilities than their equivalent #C++ projects at all relevant experience levels, but more importantly, we found the effect was most significant for first-time contributors, who were almost two or… ★ 126

After a year of hemming and hawing on which of my rarely used fedi accounts I'd post my new work stuff on (or yet another new one), I decided to repurpose this one. I'll probably continue with the rare posts about #privacy or #Rust researc…

Photo post ★ 1 The story about Facebook targeting beauty product ads at teens who deleted a selfie is yet another example of how "privacy preserving" targeted ads are an oxymoron. Even if "privacy" tech had been in use, the outcome would have been the sa… ★ 5 Twin sisters set to study at University of Waterloo killed in Israeli airstrike https://kitchener.citynews.ca/2024/12/18/twin-sisters-set-to-study-at-uw-killed-in-israeli-airstrike/ "Unlike the last year, in the last few days, the twins we… ★ 1 If anyone wants a more accessible version of my thesis for some reason, I created an HTML version: https://unsuspicious.click/blog/thesis/ ★ 2 My thesis has just been accepted by the university archives, so I have now officially completed my PhD. \o/ https://hdl.handle.net/10012/20801 I'm on a bit of a break right now, but if anyone knows any interesting projects empowering peopl… ★ 18 If you want to reproduce any of these results, the code is all available at: https://git-crysp.uwaterloo.ca/j3tracey/grading-on-a-curve (N.b.: other than the Firefox code being used as data, the project's code is all Python, shell, and a l… ★ 6

The next obvious question is, does the lower chance of vulnerabilities actually lead to more newbie contributors in these projects, or is this effect just an artifact of Rust selecting for contributors already experienced with these projec… ★ 10

Once we know the commits that introduced vulnerabilities, the next question is how to use that information to estimate the rate new contributors add vulnerabilities. To do that, we tried something new: using learning curves to compare prog… ★ 3 To study the matter, we took a look at the Oxidation project from #Mozilla, which replaced components of #Firefox with equivalents written in #Rust. Where the original was in #C/#CPP, this gives us about as good of an apples-to-apples comp… ★ 7 I disagree with the thesis of "Working in Public" in that I don't think we should simply accept this. I believe the best way to ensure software develops as desired by a community is to make it as simple as possible for that community to in… ★ 8

🐘 Community & instance

Home server

ftp.crysp.org

Their home server on the fediverse — the instance a creator picks signals the community they belong to.

✅ Link-verified

Verified link

Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.

On Mastodon since

Nov 2022

Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.

👁️Averages 17 views per post.

📤Posts about 0.1× per week.

🕵️ Fake follower check

Estimated

89/100

Excellent Credibility score

99%

Real Real audience

Low Fake-follower risk

High Data confidence

Est. 99% real, active audience · Low fake-follower risk.
Strong engagement (~0.2× of followers engage each post) — an active, real audience.
Verified account.
Established account (3+ years old).

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Thunderbird developer, former PhD on lowering barriers to entry to privacy-enhancing technologies (PETs) research and development. I occasionally help run this server.

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🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

lmemsm 17%

Box<dyn Iec> 16%

{ id: d2718, ok: 🇵🇸🌈🏳️‍⚧️🇺🇦 } 14%

TagHunt 10%

Sabrina H. Kessler 10%

Margaret Yonco-Haines 10%

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Mastodon ＋

{ id: d2718, ok: 🇵🇸🌈🏳️‍⚧️🇺🇦 } ✓

@taghunt@infosec.exchange

70 Followers

Mastodon ＋

lmemsm

@lmemsm@fosstodon.org

70 Followers

Mastodon ＋

Sabrina H. Kessler

@sabrinahkessler@newsie.social

70 Followers

Mastodon ＋

Margaret Yonco-Haines

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Justin Tracey✓

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