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ClimateFran

ClimateFran

🔄 Data last refreshed 12 days ago
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Followers
14.7K
Account age
2 yrs
🧰 Free analysis for ClimateFran
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

Known for

📊 Post engagement

18
Avg engagement / post
0.1%
Engagement vs followers
Aug 2023
On Bluesky since

🔥 Top post: Things I learned today - language in the Clean Air Act explicitl · 112 likes + reposts

📊 Activity & format

Posting cadence
0.2 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 0 text · 12 image · 0 video.

Recent posts

View on Bluesky ↗
🔥 Top post Things I learned today - language in the Clean Air Act explicitly defines "air pollutant" to include anything with adverse effects on weather and climate www.govinfo.gov/content/pkg/... ★ 112
Hi Neighbor! Also @sidersadapts.bsky.social @envpolicycenter.bsky.social @andrewdessler.com ★ 2 Check out our paper on ecological costs of climate change - we have a three (!) good utility function . Not unheard of in economics. www.nature.com/articles/s41... ★ 2 Was looking at EPA's impact assessment of the GHG powerplant regulation repeal today. Truly Kafkaesque. EPA simply asserts that the costs of the repeal (i.e. higher GHG emissions) are "too uncertain" and therefore the net-benefits of repea… ★ 34 The paper walks through a simple illustration using an information spectrum constructed from a forced Lorenz model and two different decision contexts - a short-term "insurance decision" and a long-term "infrastructure decision" We propose operationalizing VOI for climate risk using an information spectrum, that places different information states on a continuum from simple to complex. The value of different information states can be evaluated relative to each oth… A VOI approach provides a broad framework for quantifying the value of new climate information to a particular decision-maker. Essentially it boils down to the change in the expected value of the decision made under the new vs the old clim… ★ 1 This "Synthetic SCC" distribution integrates both parametric and structural uncertainties. Our 2020 SCC distribution has a median of $185 per ton CO2, a mean of $283 and a 95th percentile of $874 - higher than the large majority of governm… ★ 5 This procedure is essentially a structured re-weighting of the 1823 SCC distributions from the literature. Papers integrating elements that are relatively under-sampled compared to expert assessment and that contribute meaningfully to SCC … ★ 5 We also ask experts about their confidence in studies using different model structures to estimate the SCC. Translating responses into probabilities, we see a substantial under-sampling of these alternate structures in the published litera… ★ 4 Experts attribute the perceived downward bias in published SCCs to a range of factors. Discounting parameters, underestimated damages, under-representation of growth rate damages, and limited substitutability of climate impacts with consum… ★ 8 The vast majority of respondents believe published SCC values to be downward biased. The average "best-guess" SCC ($142 per ton CO2) is more than twice their literature estimate ($60 per ton). Experts substantially underestimate published … ★ 8

🦋 Handle & authenticity

Bluesky handle
@climatefran.bsky.social
A default .bsky.social handle — genuine, but not domain-verified. Confirm identity before a high-value deal.
On Bluesky since
Aug 2023
An early adopter from the invite-only beta (before the Feb 2024 public launch) — an original, established account.

💡 Facts

🗓️Joined Bluesky in 2023 — 2 years ago.
👁️Averages 18 views per post.
📤Posts about 0.2× per week.
🏅Earned the 10K Followers for passing 10K followers.

🕵️ Fake follower check

Estimated
40/100
Low Credibility score
68%
Mixed Real audience
Medium Fake-follower risk
Medium Data confidence
  • Est. 68% real, active audience · Medium fake-follower risk.
  • Low engagement (~0.1% of followers engage each post) — a sign of an inflated or inactive audience.

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

About

professor @UCDavis | climate change economist / scientist / general nerd | White House CEA 2022-23 https://franmoore.faculty.ucdavis.edu/

📸 Gallery

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