Methodology
Clear method notes accompany available results. Individual votes remain private.
Each person can only vote once on a poll.
Suspicious activity, spam, and reports can trigger limits or a review.
Your individual choice is never linked to your account on a public page.
Bynesh is built for public questions that people want to answer and organizations want to understand. That only works if votes are protected from duplicate participation, bots, spam, fake activity, and misleading screenshots.
We use several protections at once: account checks, verified email and phone, a one-vote rule per poll, device signals, rate limits, reports from the community, moderation, and clear status labels on polls and results. No single safeguard is perfect on its own, so Bynesh keeps improving the system as new kinds of misuse appear.
You can only vote once on each poll. Bynesh checks who has already voted and won’t accept the same person twice.
Automated traffic, suspicious voting patterns, replay attempts, spam, and coordinated manipulation can be limited, reviewed, or removed.
Verified email and phone, account history, device signals, rate limits, and user reports all help us tell real people apart from fake activity.
Software catches patterns, but tricky cases still need a person. Suspicious polls, publishers, accounts, or unusual results can be sent for review.
Bynesh knows that you voted, but your specific answer is never linked to your account on a public page.
When a poll needs more care, Bynesh can limit it, label it as under review, or withhold its results until they can be shown with the context needed to read them responsibly.
Bynesh does not treat manipulation as an afterthought. Repeat voting, automated traffic, suspicious account behavior, publisher impersonation, spam campaigns, and coordinated misuse can all damage a poll result, so the platform is designed to detect and restrict those patterns.
When a result needs a closer look, Bynesh can withhold it, hide breakdowns that have too few voters to be meaningful, place the poll under review, restrict who can vote, remove abusive activity, or suspend accounts that break the rules.
Bynesh needs to know that you took part so the same person can't keep voting on the same poll. But your individual answer is handled separately. When a public result is available, it shows aggregate values — never a list of who chose what.
That balance matters. People answer more honestly when they aren't being singled out, and aggregate results are more useful when every accepted vote counts exactly once.
NGOs, publishers, creators, brands, and communities can share one page where the wording, options, publisher, timing, and any available aggregate results stay together.
Comments show who is loud. When aggregate results are available, they can show what participants chose while protections limit repeat participation.
Bynesh helps partners ask timely questions without pretending every public poll is a formal representative survey.
A Bynesh poll can help a team understand what an audience prefers, what a community cares about, what a creator can build next, or how people react to an issue. When a result is available, it stays attached to the Question that produced it.
When a public result is available, it shows aggregate answers to a specific Question at a specific moment. Read it with the Question, options, publisher, timing, status, and stated limits. Before results are available, the public page shows no result values.
Bynesh is not an official government election system and does not claim that every poll is a representative survey of an entire population. That clarity is part of the methodology. When aggregate results are available, public opinion is more useful because people can see the Question, the values, the source, the timing, and the limits.
